{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "import gc\n",
    "import matplotlib.pyplot as plt\n",
    "import talib as ta\n",
    "import datetime as dt\n",
    "pd.set_option('display.max_rows', 16)\n",
    "\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (16.0, 9.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.4.17'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ta.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "START = '2007-01-01'\n",
    "END = '2024-12-31'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "index_info = DataAPI.SecIDGet(assetClass=\"IDX\",pandas=\"1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "index_id = index_info[index_info['secShortName'].isin(['上证综指','深证综指','创业板指','沪深300','中证500','中证1000'])].drop_duplicates('secShortName').secID.values\n",
    "index_df = DataAPI.MktIdxdGet(indexID=index_id,beginDate=START,endDate=END,field=['indexID','secShortName','tradeDate','openIndex','highestIndex','lowestIndex','closeIndex','turnoverVol','turnoverValue','CHGPct'],pandas=\"1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>indexID</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>highestIndex</th>\n",
       "      <th>lowestIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>turnoverVol</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>CHGPct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-04</td>\n",
       "      <td>2728.1880</td>\n",
       "      <td>2847.6150</td>\n",
       "      <td>2684.8180</td>\n",
       "      <td>2715.7190</td>\n",
       "      <td>12015602100</td>\n",
       "      <td>8.394553e+10</td>\n",
       "      <td>0.015042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-05</td>\n",
       "      <td>2668.5770</td>\n",
       "      <td>2685.8040</td>\n",
       "      <td>2617.0190</td>\n",
       "      <td>2641.3340</td>\n",
       "      <td>10615562500</td>\n",
       "      <td>7.012870e+10</td>\n",
       "      <td>-0.027391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>2621.0680</td>\n",
       "      <td>2708.4440</td>\n",
       "      <td>2620.6250</td>\n",
       "      <td>2707.1990</td>\n",
       "      <td>10681324400</td>\n",
       "      <td>7.216588e+10</td>\n",
       "      <td>0.024936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-09</td>\n",
       "      <td>2711.0490</td>\n",
       "      <td>2809.3940</td>\n",
       "      <td>2691.3600</td>\n",
       "      <td>2807.8040</td>\n",
       "      <td>11075126700</td>\n",
       "      <td>8.622197e+10</td>\n",
       "      <td>0.037162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-10</td>\n",
       "      <td>2838.1130</td>\n",
       "      <td>2841.7410</td>\n",
       "      <td>2770.9880</td>\n",
       "      <td>2825.5760</td>\n",
       "      <td>11176936500</td>\n",
       "      <td>7.905066e+10</td>\n",
       "      <td>0.006330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-11</td>\n",
       "      <td>2819.3670</td>\n",
       "      <td>2841.1800</td>\n",
       "      <td>2763.8860</td>\n",
       "      <td>2770.1100</td>\n",
       "      <td>12159871700</td>\n",
       "      <td>8.398673e+10</td>\n",
       "      <td>-0.019630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-12</td>\n",
       "      <td>2745.3210</td>\n",
       "      <td>2782.0250</td>\n",
       "      <td>2652.5780</td>\n",
       "      <td>2668.1100</td>\n",
       "      <td>10730376800</td>\n",
       "      <td>7.343404e+10</td>\n",
       "      <td>-0.036822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000001.ZICN</td>\n",
       "      <td>上证综指</td>\n",
       "      <td>2007-01-15</td>\n",
       "      <td>2660.0700</td>\n",
       "      <td>2795.3310</td>\n",
       "      <td>2658.8790</td>\n",
       "      <td>2794.7010</td>\n",
       "      <td>9176156100</td>\n",
       "      <td>6.693948e+10</td>\n",
       "      <td>0.047446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24385</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>1746.8300</td>\n",
       "      <td>1746.8300</td>\n",
       "      <td>1708.0281</td>\n",
       "      <td>1720.2761</td>\n",
       "      <td>44329488741</td>\n",
       "      <td>4.652598e+11</td>\n",
       "      <td>-0.017432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24386</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>1707.7425</td>\n",
       "      <td>1737.5903</td>\n",
       "      <td>1705.9277</td>\n",
       "      <td>1721.5946</td>\n",
       "      <td>41833678630</td>\n",
       "      <td>4.486383e+11</td>\n",
       "      <td>0.000766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24387</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>1720.9966</td>\n",
       "      <td>1730.1391</td>\n",
       "      <td>1704.8936</td>\n",
       "      <td>1707.7132</td>\n",
       "      <td>41561290234</td>\n",
       "      <td>4.470349e+11</td>\n",
       "      <td>-0.008063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24388</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>1703.7127</td>\n",
       "      <td>1719.7362</td>\n",
       "      <td>1675.4502</td>\n",
       "      <td>1702.6751</td>\n",
       "      <td>54491736930</td>\n",
       "      <td>5.372794e+11</td>\n",
       "      <td>-0.002950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24389</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>1689.5306</td>\n",
       "      <td>1692.9842</td>\n",
       "      <td>1637.6208</td>\n",
       "      <td>1638.4368</td>\n",
       "      <td>53485412464</td>\n",
       "      <td>5.119398e+11</td>\n",
       "      <td>-0.037728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24390</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>1645.8588</td>\n",
       "      <td>1700.7494</td>\n",
       "      <td>1645.8588</td>\n",
       "      <td>1700.7494</td>\n",
       "      <td>50860042820</td>\n",
       "      <td>5.021928e+11</td>\n",
       "      <td>0.038032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24391</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>1695.1214</td>\n",
       "      <td>1716.3721</td>\n",
       "      <td>1684.3468</td>\n",
       "      <td>1698.9208</td>\n",
       "      <td>48375148137</td>\n",
       "      <td>5.081912e+11</td>\n",
       "      <td>-0.001075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24392</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>1688.9260</td>\n",
       "      <td>1700.6307</td>\n",
       "      <td>1675.2193</td>\n",
       "      <td>1686.5646</td>\n",
       "      <td>43977363059</td>\n",
       "      <td>4.637209e+11</td>\n",
       "      <td>-0.007273</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24393 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "0      000001.ZICN         上证综指  2007-01-04  2728.1880     2847.6150   \n",
       "1      000001.ZICN         上证综指  2007-01-05  2668.5770     2685.8040   \n",
       "2      000001.ZICN         上证综指  2007-01-08  2621.0680     2708.4440   \n",
       "3      000001.ZICN         上证综指  2007-01-09  2711.0490     2809.3940   \n",
       "4      000001.ZICN         上证综指  2007-01-10  2838.1130     2841.7410   \n",
       "5      000001.ZICN         上证综指  2007-01-11  2819.3670     2841.1800   \n",
       "6      000001.ZICN         上证综指  2007-01-12  2745.3210     2782.0250   \n",
       "7      000001.ZICN         上证综指  2007-01-15  2660.0700     2795.3310   \n",
       "...            ...          ...         ...        ...           ...   \n",
       "24385  399106.ZICN         深证综指  2024-04-10  1746.8300     1746.8300   \n",
       "24386  399106.ZICN         深证综指  2024-04-11  1707.7425     1737.5903   \n",
       "24387  399106.ZICN         深证综指  2024-04-12  1720.9966     1730.1391   \n",
       "24388  399106.ZICN         深证综指  2024-04-15  1703.7127     1719.7362   \n",
       "24389  399106.ZICN         深证综指  2024-04-16  1689.5306     1692.9842   \n",
       "24390  399106.ZICN         深证综指  2024-04-17  1645.8588     1700.7494   \n",
       "24391  399106.ZICN         深证综指  2024-04-18  1695.1214     1716.3721   \n",
       "24392  399106.ZICN         深证综指  2024-04-19  1688.9260     1700.6307   \n",
       "\n",
       "       lowestIndex  closeIndex  turnoverVol  turnoverValue    CHGPct  \n",
       "0        2684.8180   2715.7190  12015602100   8.394553e+10  0.015042  \n",
       "1        2617.0190   2641.3340  10615562500   7.012870e+10 -0.027391  \n",
       "2        2620.6250   2707.1990  10681324400   7.216588e+10  0.024936  \n",
       "3        2691.3600   2807.8040  11075126700   8.622197e+10  0.037162  \n",
       "4        2770.9880   2825.5760  11176936500   7.905066e+10  0.006330  \n",
       "5        2763.8860   2770.1100  12159871700   8.398673e+10 -0.019630  \n",
       "6        2652.5780   2668.1100  10730376800   7.343404e+10 -0.036822  \n",
       "7        2658.8790   2794.7010   9176156100   6.693948e+10  0.047446  \n",
       "...            ...         ...          ...            ...       ...  \n",
       "24385    1708.0281   1720.2761  44329488741   4.652598e+11 -0.017432  \n",
       "24386    1705.9277   1721.5946  41833678630   4.486383e+11  0.000766  \n",
       "24387    1704.8936   1707.7132  41561290234   4.470349e+11 -0.008063  \n",
       "24388    1675.4502   1702.6751  54491736930   5.372794e+11 -0.002950  \n",
       "24389    1637.6208   1638.4368  53485412464   5.119398e+11 -0.037728  \n",
       "24390    1645.8588   1700.7494  50860042820   5.021928e+11  0.038032  \n",
       "24391    1684.3468   1698.9208  48375148137   5.081912e+11 -0.001075  \n",
       "24392    1675.2193   1686.5646  43977363059   4.637209e+11 -0.007273  \n",
       "\n",
       "[24393 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "# Security Id\n",
    "stk_info = DataAPI.SecIDGet(assetClass=\"E\",pandas=\"1\")\n",
    "cond1 = (stk_info['exchangeCD'] == 'XSHE') | (stk_info['exchangeCD'] == 'XSHG')\n",
    "cond2 = (stk_info['listStatusCD'] == 'L') | (stk_info['listStatusCD'] == 'DE')\n",
    "cond3 = stk_info['transCurrCD']=='CNY'\n",
    "stk_info = stk_info[cond1 & cond2 & cond3].copy()\n",
    "stk_id = stk_info['secID']\n",
    "# ST\n",
    "st_df = DataAPI.SecSTGet(beginDate=START,endDate=END,secID=stk_id,field=['secID','tradeDate','STflg'],pandas=\"1\")\n",
    "st_df['tradeDate'] = pd.to_datetime(st_df['tradeDate'],format=\"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 7s, sys: 15.9 s, total: 1min 22s\n",
      "Wall time: 12min 28s\n"
     ]
    }
   ],
   "source": [
    "# %%time\n",
    "# # About 8 mins\n",
    "# # # 从优矿下载股票信息，时间较长。由于优矿的限制，每次下载3年的数据\n",
    "\n",
    "# stk_dict = {}\n",
    "# begin_ = dt.datetime.strptime(START, '%Y-%m-%d').year\n",
    "# end_ = dt.datetime.strptime(START, '%Y-%m-%d').year+3\n",
    "# field = [\"secID\",\"tradeDate\",'preClosePrice',\"closePrice\",'openPrice','highestPrice','lowestPrice',\"negMarketValue\",\"turnoverValue\",'turnoverRate']\n",
    "# while begin_ <= 2024:\n",
    "#     if begin_ == 2024:\n",
    "#         yesterday = dt.datetime.today() - dt.timedelta(days=1)\n",
    "#         yesterday.strftime('%Y%m%d')\n",
    "#         stk_dict[begin_] = DataAPI.MktEqudAdjAfGet(secID=stk_id,\n",
    "#                                                      beginDate=f'{begin_}0101',\n",
    "#                                                      endDate=yesterday,\n",
    "#                                                      field=field,pandas=\"1\")\n",
    "#     else:\n",
    "#         stk_dict[begin_] = DataAPI.MktEqudAdjAfGet(secID=stk_id,\n",
    "#                                                          beginDate=f'{begin_}0101',\n",
    "#                                                          endDate=f'{end_}1231',\n",
    "#                                                          field=field,pandas=\"1\")\n",
    "#     begin_ = end_ + 1\n",
    "#     end_ = begin_ + 3\n",
    "    \n",
    "# for i in range(len(stk_dict)):\n",
    "#     stk_df = pd.DataFrame(np.vstack([_df for _df in stk_dict.values()]),columns=field)\n",
    "    \n",
    "# stk_df.to_pickle('./data/stk_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "# %%time\n",
    "# stk_df = DataAPI.MktEqudAdjAfGet(secID=stk_id,beginDate=START,endDate=END,isOpen=1,\n",
    "#                                            field=[\"secID\",\"tradeDate\",\n",
    "#                                                   'preClosePrice',\"closePrice\",\n",
    "#                                                   'openPrice','highestPrice','lowestPrice',\n",
    "#                                                   \"negMarketValue\",\n",
    "#                                                   \"turnoverValue\",'turnoverRate'],pandas=\"1\")\n",
    "# stk_df.to_pickle('./data/stk_df.pkl')\n",
    "# Takes about 6 mins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df = pd.read_pickle('./data/stk_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12578740 entries, 0 to 12578739\n",
      "Data columns (total 10 columns):\n",
      "secID             object\n",
      "tradeDate         object\n",
      "preClosePrice     object\n",
      "closePrice        object\n",
      "openPrice         object\n",
      "highestPrice      object\n",
      "lowestPrice       object\n",
      "negMarketValue    object\n",
      "turnoverValue     object\n",
      "turnoverRate      object\n",
      "dtypes: object(10)\n",
      "memory usage: 959.7+ MB\n"
     ]
    }
   ],
   "source": [
    "stk_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "num_cols = ['preClosePrice','closePrice','openPrice','highestPrice','lowestPrice',\n",
    "            'negMarketValue','turnoverValue','turnoverRate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "for col in num_cols:\n",
    "    stk_df[col] = pd.to_numeric(stk_df[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(12578740, 10)\n",
      "(12026765, 10)\n"
     ]
    }
   ],
   "source": [
    "stk_df['tradeDate'] = pd.to_datetime(stk_df['tradeDate'], format='%Y-%m-%d')\n",
    "stk_df.sort_values(['secID','tradeDate'],inplace=True)\n",
    "# drop ST stocks\n",
    "print(stk_df.shape)\n",
    "stk_df = pd.merge(stk_df, st_df, on=['secID','tradeDate'],how='left')\n",
    "stk_df = stk_df[stk_df['STflg'].isna()].copy()\n",
    "stk_df.drop('STflg',axis=1,inplace=True)\n",
    "print(stk_df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "不填充停牌值比较合理，因为技术分析只看量价，直接计算量价关系较为合适"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "## 沪深300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>indexID</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>highestIndex</th>\n",
       "      <th>lowestIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>turnoverVol</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>open_ret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-04</td>\n",
       "      <td>2073.2500</td>\n",
       "      <td>2139.4900</td>\n",
       "      <td>2054.2400</td>\n",
       "      <td>2067.0900</td>\n",
       "      <td>10671970700</td>\n",
       "      <td>8.238107e+10</td>\n",
       "      <td>0.012758</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-05</td>\n",
       "      <td>2051.1500</td>\n",
       "      <td>2083.4000</td>\n",
       "      <td>2030.7600</td>\n",
       "      <td>2072.8800</td>\n",
       "      <td>9274344700</td>\n",
       "      <td>6.802606e+10</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>-0.010660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>2072.0000</td>\n",
       "      <td>2131.7400</td>\n",
       "      <td>2071.7200</td>\n",
       "      <td>2131.5600</td>\n",
       "      <td>8476790900</td>\n",
       "      <td>6.630394e+10</td>\n",
       "      <td>0.028308</td>\n",
       "      <td>0.010165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-09</td>\n",
       "      <td>2137.4900</td>\n",
       "      <td>2201.3600</td>\n",
       "      <td>2128.0600</td>\n",
       "      <td>2200.0900</td>\n",
       "      <td>8157762900</td>\n",
       "      <td>6.545619e+10</td>\n",
       "      <td>0.032150</td>\n",
       "      <td>0.031607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-10</td>\n",
       "      <td>2210.7600</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>2194.7700</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>8490497900</td>\n",
       "      <td>6.882262e+10</td>\n",
       "      <td>0.025399</td>\n",
       "      <td>0.034279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-11</td>\n",
       "      <td>2257.0100</td>\n",
       "      <td>2289.9500</td>\n",
       "      <td>2224.3700</td>\n",
       "      <td>2231.6300</td>\n",
       "      <td>8627654800</td>\n",
       "      <td>6.873001e+10</td>\n",
       "      <td>-0.010789</td>\n",
       "      <td>0.020920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-12</td>\n",
       "      <td>2215.8600</td>\n",
       "      <td>2249.5400</td>\n",
       "      <td>2159.7700</td>\n",
       "      <td>2173.7500</td>\n",
       "      <td>7652572000</td>\n",
       "      <td>6.174283e+10</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>-0.018232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-15</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.6800</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.3400</td>\n",
       "      <td>6640309700</td>\n",
       "      <td>5.704345e+10</td>\n",
       "      <td>0.052255</td>\n",
       "      <td>-0.020272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3531.2295</td>\n",
       "      <td>3490.0525</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>12879027400</td>\n",
       "      <td>1.997548e+11</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>-0.001250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3520.5893</td>\n",
       "      <td>3484.9252</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>12653439500</td>\n",
       "      <td>2.002935e+11</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.012451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4198</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3516.6988</td>\n",
       "      <td>3470.0611</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>12892111600</td>\n",
       "      <td>2.085662e+11</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.005946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4199</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3552.4125</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>18394125000</td>\n",
       "      <td>2.674725e+11</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>-0.009198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3545.5034</td>\n",
       "      <td>3503.6158</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>17615306500</td>\n",
       "      <td>2.533160e+11</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.017233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4201</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.9389</td>\n",
       "      <td>3498.0324</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>16846639800</td>\n",
       "      <td>2.449878e+11</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>-0.006858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4202</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3602.7902</td>\n",
       "      <td>3547.5996</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>17857410500</td>\n",
       "      <td>2.613299e+11</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.011805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4203</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3560.9492</td>\n",
       "      <td>3529.3237</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>14728150500</td>\n",
       "      <td>2.262295e+11</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>0.000015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4204 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "0     000300.ZICN        沪深300  2007-01-04  2073.2500     2139.4900   \n",
       "1     000300.ZICN        沪深300  2007-01-05  2051.1500     2083.4000   \n",
       "2     000300.ZICN        沪深300  2007-01-08  2072.0000     2131.7400   \n",
       "3     000300.ZICN        沪深300  2007-01-09  2137.4900     2201.3600   \n",
       "4     000300.ZICN        沪深300  2007-01-10  2210.7600     2255.9700   \n",
       "5     000300.ZICN        沪深300  2007-01-11  2257.0100     2289.9500   \n",
       "6     000300.ZICN        沪深300  2007-01-12  2215.8600     2249.5400   \n",
       "7     000300.ZICN        沪深300  2007-01-15  2170.9400     2287.6800   \n",
       "...           ...          ...         ...        ...           ...   \n",
       "4196  000300.ZICN        沪深300  2024-04-10  3528.9679     3531.2295   \n",
       "4197  000300.ZICN        沪深300  2024-04-11  3485.0294     3520.5893   \n",
       "4198  000300.ZICN        沪深300  2024-04-12  3505.7499     3516.6988   \n",
       "4199  000300.ZICN        沪深300  2024-04-15  3473.5047     3552.4125   \n",
       "4200  000300.ZICN        沪深300  2024-04-16  3533.3636     3545.5034   \n",
       "4201  000300.ZICN        沪深300  2024-04-17  3509.1318     3565.9389   \n",
       "4202  000300.ZICN        沪深300  2024-04-18  3550.5562     3602.7902   \n",
       "4203  000300.ZICN        沪深300  2024-04-19  3550.6087     3560.9492   \n",
       "\n",
       "      lowestIndex  closeIndex  turnoverVol  turnoverValue  close_ret  open_ret  \n",
       "0       2054.2400   2067.0900  10671970700   8.238107e+10   0.012758       NaN  \n",
       "1       2030.7600   2072.8800   9274344700   6.802606e+10   0.002801 -0.010660  \n",
       "2       2071.7200   2131.5600   8476790900   6.630394e+10   0.028308  0.010165  \n",
       "3       2128.0600   2200.0900   8157762900   6.545619e+10   0.032150  0.031607  \n",
       "4       2194.7700   2255.9700   8490497900   6.882262e+10   0.025399  0.034279  \n",
       "5       2224.3700   2231.6300   8627654800   6.873001e+10  -0.010789  0.020920  \n",
       "6       2159.7700   2173.7500   7652572000   6.174283e+10  -0.025936 -0.018232  \n",
       "7       2170.9400   2287.3400   6640309700   5.704345e+10   0.052255 -0.020272  \n",
       "...           ...         ...          ...            ...        ...       ...  \n",
       "4196    3490.0525   3504.7086  12879027400   1.997548e+11  -0.008145 -0.001250  \n",
       "4197    3484.9252   3504.2447  12653439500   2.002935e+11  -0.000132 -0.012451  \n",
       "4198    3470.0611   3475.8389  12892111600   2.085662e+11  -0.008106  0.005946  \n",
       "4199    3473.5047   3549.0759  18394125000   2.674725e+11   0.021070 -0.009198  \n",
       "4200    3503.6158   3511.1146  17615306500   2.533160e+11  -0.010696  0.017233  \n",
       "4201    3498.0324   3565.4030  16846639800   2.449878e+11   0.015462 -0.006858  \n",
       "4202    3547.5996   3569.8018  17857410500   2.613299e+11   0.001234  0.011805  \n",
       "4203    3529.3237   3541.6619  14728150500   2.262295e+11  -0.007883  0.000015  \n",
       "\n",
       "[4204 rows x 11 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_df = index_df[index_df['secShortName']=='沪深300'].reset_index(drop=True)\n",
    "hs300_df.rename(columns={'CHGPct':'close_ret'},inplace=True)\n",
    "hs300_df['open_ret'] = hs300_df['openIndex']/hs300_df['openIndex'].shift()-1\n",
    "hs300_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4204 entries, 0 to 4203\n",
      "Data columns (total 11 columns):\n",
      "indexID          4204 non-null object\n",
      "secShortName     4204 non-null object\n",
      "tradeDate        4204 non-null object\n",
      "openIndex        4204 non-null float64\n",
      "highestIndex     4204 non-null float64\n",
      "lowestIndex      4204 non-null float64\n",
      "closeIndex       4204 non-null float64\n",
      "turnoverVol      4204 non-null int64\n",
      "turnoverValue    4204 non-null float64\n",
      "close_ret        4204 non-null float64\n",
      "open_ret         4203 non-null float64\n",
      "dtypes: float64(7), int64(1), object(3)\n",
      "memory usage: 361.4+ KB\n"
     ]
    }
   ],
   "source": [
    "hs300_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "hs300_df['close_ret_demean'] = hs300_df['close_ret'] - hs300_df['close_ret'].mean()\n",
    "hs300_df['open_ret_demean'] = hs300_df['open_ret'] - hs300_df['open_ret'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.204000e+03\n",
       "mean     2.667286e-04\n",
       "std      5.786718e-18\n",
       "min      2.667286e-04\n",
       "25%      2.667286e-04\n",
       "50%      2.667286e-04\n",
       "75%      2.667286e-04\n",
       "max      2.667286e-04\n",
       "dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(hs300_df['close_ret']- hs300_df['close_ret_demean']).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "hs300_cols = hs300_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "# Technical indicators"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "## Moving average"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### MA30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "SMA(real[, timeperiod=?])\n",
       "\n",
       "Simple Moving Average (Overlap Studies)\n",
       "\n",
       "Inputs:\n",
       "    real: (any ndarray)\n",
       "Parameters:\n",
       "    timeperiod: 30\n",
       "Outputs:\n",
       "    real\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ta.SMA?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0              NaN\n",
       "1              NaN\n",
       "2              NaN\n",
       "3              NaN\n",
       "4       2145.51800\n",
       "5       2178.42600\n",
       "6       2198.60000\n",
       "7       2229.75600\n",
       "           ...    \n",
       "4196    3544.61648\n",
       "4197    3529.33024\n",
       "4198    3510.93740\n",
       "4199    3513.47104\n",
       "4200    3508.99654\n",
       "4201    3521.13542\n",
       "4202    3534.24684\n",
       "4203    3547.41144\n",
       "Length: 4204, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ta.SMA(hs300_df['closeIndex'], 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0              NaN\n",
       "1              NaN\n",
       "2              NaN\n",
       "3              NaN\n",
       "4       2145.51800\n",
       "5       2178.42600\n",
       "6       2198.60000\n",
       "7       2229.75600\n",
       "           ...    \n",
       "4196    3544.61648\n",
       "4197    3529.33024\n",
       "4198    3510.93740\n",
       "4199    3513.47104\n",
       "4200    3508.99654\n",
       "4201    3521.13542\n",
       "4202    3534.24684\n",
       "4203    3547.41144\n",
       "Name: closeIndex, Length: 4204, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_df['closeIndex'].rolling(5).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df = hs300_df.copy()\n",
    "MA_df['MA30'] = ta.SMA(MA_df['closeIndex'], 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa04ef05950>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "MA_df[['tradeDate','closeIndex','MA30']].set_index('tradeDate').loc[:'2007-12'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "- 当收盘价高于均线时买入，低于均线时卖出\n",
    "\n",
    "Case 1:\n",
    "1. t日：收盘价高于MA30，假设可以以当日收盘价买入\n",
    "2. t+k日：收盘价低于MA30，假设可以以当日收盘价卖出\n",
    "\n",
    "Case 2:\n",
    "1. t日：收盘价高于MA30，假设不能以当日收盘价买入。以次日开盘价买入\n",
    "2. t+k日：收盘价低于MA30，假设不能以当日收盘价卖出。以次日开盘价卖出"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df['signal'] = np.nan\n",
    "MA_df.loc[MA_df['closeIndex'] > MA_df['MA30'], 'signal'] = 1\n",
    "MA_df.loc[MA_df['closeIndex'] < MA_df['MA30'], 'signal'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>indexID</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>highestIndex</th>\n",
       "      <th>lowestIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>turnoverVol</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret_demean</th>\n",
       "      <th>open_ret_demean</th>\n",
       "      <th>MA30</th>\n",
       "      <th>signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-02-14</td>\n",
       "      <td>2527.5600</td>\n",
       "      <td>2594.6600</td>\n",
       "      <td>2520.5300</td>\n",
       "      <td>2588.3500</td>\n",
       "      <td>6277727900</td>\n",
       "      <td>5.846227e+10</td>\n",
       "      <td>0.026052</td>\n",
       "      <td>0.011692</td>\n",
       "      <td>0.025785</td>\n",
       "      <td>0.011405</td>\n",
       "      <td>2362.236000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-02-15</td>\n",
       "      <td>2607.6300</td>\n",
       "      <td>2669.1800</td>\n",
       "      <td>2607.6300</td>\n",
       "      <td>2668.6300</td>\n",
       "      <td>7163132900</td>\n",
       "      <td>6.741569e+10</td>\n",
       "      <td>0.031016</td>\n",
       "      <td>0.031679</td>\n",
       "      <td>0.030749</td>\n",
       "      <td>0.031392</td>\n",
       "      <td>2382.287333</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-02-16</td>\n",
       "      <td>2692.6700</td>\n",
       "      <td>2717.5700</td>\n",
       "      <td>2660.4900</td>\n",
       "      <td>2676.7400</td>\n",
       "      <td>7590878500</td>\n",
       "      <td>7.159758e+10</td>\n",
       "      <td>0.003039</td>\n",
       "      <td>0.032612</td>\n",
       "      <td>0.002772</td>\n",
       "      <td>0.032325</td>\n",
       "      <td>2402.416000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-02-26</td>\n",
       "      <td>2679.2700</td>\n",
       "      <td>2710.3000</td>\n",
       "      <td>2641.1200</td>\n",
       "      <td>2707.6800</td>\n",
       "      <td>7453156000</td>\n",
       "      <td>7.098161e+10</td>\n",
       "      <td>0.011559</td>\n",
       "      <td>-0.004976</td>\n",
       "      <td>0.011292</td>\n",
       "      <td>-0.005263</td>\n",
       "      <td>2421.620000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-02-27</td>\n",
       "      <td>2717.8100</td>\n",
       "      <td>2719.5200</td>\n",
       "      <td>2454.9200</td>\n",
       "      <td>2457.4900</td>\n",
       "      <td>10773680700</td>\n",
       "      <td>1.011028e+11</td>\n",
       "      <td>-0.092400</td>\n",
       "      <td>0.014385</td>\n",
       "      <td>-0.092667</td>\n",
       "      <td>0.014098</td>\n",
       "      <td>2430.200000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-02-28</td>\n",
       "      <td>2413.4200</td>\n",
       "      <td>2554.2300</td>\n",
       "      <td>2413.3300</td>\n",
       "      <td>2544.5700</td>\n",
       "      <td>8282257100</td>\n",
       "      <td>7.714825e+10</td>\n",
       "      <td>0.035435</td>\n",
       "      <td>-0.111998</td>\n",
       "      <td>0.035168</td>\n",
       "      <td>-0.112285</td>\n",
       "      <td>2439.820000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-03-01</td>\n",
       "      <td>2550.2600</td>\n",
       "      <td>2550.3300</td>\n",
       "      <td>2439.5000</td>\n",
       "      <td>2473.5400</td>\n",
       "      <td>8215965500</td>\n",
       "      <td>7.429958e+10</td>\n",
       "      <td>-0.027914</td>\n",
       "      <td>0.056700</td>\n",
       "      <td>-0.028181</td>\n",
       "      <td>0.056413</td>\n",
       "      <td>2447.883667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-03-02</td>\n",
       "      <td>2468.6700</td>\n",
       "      <td>2523.8600</td>\n",
       "      <td>2455.8200</td>\n",
       "      <td>2508.7300</td>\n",
       "      <td>5794680500</td>\n",
       "      <td>5.422210e+10</td>\n",
       "      <td>0.014227</td>\n",
       "      <td>-0.031993</td>\n",
       "      <td>0.013960</td>\n",
       "      <td>-0.032280</td>\n",
       "      <td>2459.049667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3531.2295</td>\n",
       "      <td>3490.0525</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>12879027400</td>\n",
       "      <td>1.997548e+11</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008412</td>\n",
       "      <td>-0.001537</td>\n",
       "      <td>3548.814590</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3520.5893</td>\n",
       "      <td>3484.9252</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>12653439500</td>\n",
       "      <td>2.002935e+11</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>-0.012738</td>\n",
       "      <td>3549.129833</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4198</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3516.6988</td>\n",
       "      <td>3470.0611</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>12892111600</td>\n",
       "      <td>2.085662e+11</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008373</td>\n",
       "      <td>0.005659</td>\n",
       "      <td>3549.982470</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4199</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3552.4125</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>18394125000</td>\n",
       "      <td>2.674725e+11</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.020803</td>\n",
       "      <td>-0.009485</td>\n",
       "      <td>3551.082247</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3545.5034</td>\n",
       "      <td>3503.6158</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>17615306500</td>\n",
       "      <td>2.533160e+11</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.016946</td>\n",
       "      <td>3550.192607</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4201</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.9389</td>\n",
       "      <td>3498.0324</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>16846639800</td>\n",
       "      <td>2.449878e+11</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015195</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>3551.010420</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4202</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3602.7902</td>\n",
       "      <td>3547.5996</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>17857410500</td>\n",
       "      <td>2.613299e+11</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.011518</td>\n",
       "      <td>3551.153337</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4203</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3560.9492</td>\n",
       "      <td>3529.3237</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>14728150500</td>\n",
       "      <td>2.262295e+11</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>3550.840463</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4175 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "29    000300.ZICN        沪深300  2007-02-14  2527.5600     2594.6600   \n",
       "30    000300.ZICN        沪深300  2007-02-15  2607.6300     2669.1800   \n",
       "31    000300.ZICN        沪深300  2007-02-16  2692.6700     2717.5700   \n",
       "32    000300.ZICN        沪深300  2007-02-26  2679.2700     2710.3000   \n",
       "33    000300.ZICN        沪深300  2007-02-27  2717.8100     2719.5200   \n",
       "34    000300.ZICN        沪深300  2007-02-28  2413.4200     2554.2300   \n",
       "35    000300.ZICN        沪深300  2007-03-01  2550.2600     2550.3300   \n",
       "36    000300.ZICN        沪深300  2007-03-02  2468.6700     2523.8600   \n",
       "...           ...          ...         ...        ...           ...   \n",
       "4196  000300.ZICN        沪深300  2024-04-10  3528.9679     3531.2295   \n",
       "4197  000300.ZICN        沪深300  2024-04-11  3485.0294     3520.5893   \n",
       "4198  000300.ZICN        沪深300  2024-04-12  3505.7499     3516.6988   \n",
       "4199  000300.ZICN        沪深300  2024-04-15  3473.5047     3552.4125   \n",
       "4200  000300.ZICN        沪深300  2024-04-16  3533.3636     3545.5034   \n",
       "4201  000300.ZICN        沪深300  2024-04-17  3509.1318     3565.9389   \n",
       "4202  000300.ZICN        沪深300  2024-04-18  3550.5562     3602.7902   \n",
       "4203  000300.ZICN        沪深300  2024-04-19  3550.6087     3560.9492   \n",
       "\n",
       "      lowestIndex  closeIndex  turnoverVol  turnoverValue  close_ret  \\\n",
       "29      2520.5300   2588.3500   6277727900   5.846227e+10   0.026052   \n",
       "30      2607.6300   2668.6300   7163132900   6.741569e+10   0.031016   \n",
       "31      2660.4900   2676.7400   7590878500   7.159758e+10   0.003039   \n",
       "32      2641.1200   2707.6800   7453156000   7.098161e+10   0.011559   \n",
       "33      2454.9200   2457.4900  10773680700   1.011028e+11  -0.092400   \n",
       "34      2413.3300   2544.5700   8282257100   7.714825e+10   0.035435   \n",
       "35      2439.5000   2473.5400   8215965500   7.429958e+10  -0.027914   \n",
       "36      2455.8200   2508.7300   5794680500   5.422210e+10   0.014227   \n",
       "...           ...         ...          ...            ...        ...   \n",
       "4196    3490.0525   3504.7086  12879027400   1.997548e+11  -0.008145   \n",
       "4197    3484.9252   3504.2447  12653439500   2.002935e+11  -0.000132   \n",
       "4198    3470.0611   3475.8389  12892111600   2.085662e+11  -0.008106   \n",
       "4199    3473.5047   3549.0759  18394125000   2.674725e+11   0.021070   \n",
       "4200    3503.6158   3511.1146  17615306500   2.533160e+11  -0.010696   \n",
       "4201    3498.0324   3565.4030  16846639800   2.449878e+11   0.015462   \n",
       "4202    3547.5996   3569.8018  17857410500   2.613299e+11   0.001234   \n",
       "4203    3529.3237   3541.6619  14728150500   2.262295e+11  -0.007883   \n",
       "\n",
       "      open_ret  close_ret_demean  open_ret_demean         MA30  signal  \n",
       "29    0.011692          0.025785         0.011405  2362.236000     1.0  \n",
       "30    0.031679          0.030749         0.031392  2382.287333     1.0  \n",
       "31    0.032612          0.002772         0.032325  2402.416000     1.0  \n",
       "32   -0.004976          0.011292        -0.005263  2421.620000     1.0  \n",
       "33    0.014385         -0.092667         0.014098  2430.200000     1.0  \n",
       "34   -0.111998          0.035168        -0.112285  2439.820000     1.0  \n",
       "35    0.056700         -0.028181         0.056413  2447.883667     1.0  \n",
       "36   -0.031993          0.013960        -0.032280  2459.049667     1.0  \n",
       "...        ...               ...              ...          ...     ...  \n",
       "4196 -0.001250         -0.008412        -0.001537  3548.814590     0.0  \n",
       "4197 -0.012451         -0.000399        -0.012738  3549.129833     0.0  \n",
       "4198  0.005946         -0.008373         0.005659  3549.982470     0.0  \n",
       "4199 -0.009198          0.020803        -0.009485  3551.082247     0.0  \n",
       "4200  0.017233         -0.010963         0.016946  3550.192607     0.0  \n",
       "4201 -0.006858          0.015195        -0.007145  3551.010420     1.0  \n",
       "4202  0.011805          0.000967         0.011518  3551.153337     1.0  \n",
       "4203  0.000015         -0.008150        -0.000272  3550.840463     0.0  \n",
       "\n",
       "[4175 rows x 15 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MA_df[~MA_df['signal'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df['position_close'] = MA_df['signal'] # 第一天收盘价生成signal后，立即对应于第一天收盘价形成的头寸\n",
    "MA_df['position_open'] = MA_df['signal'].shift() # 第一天用收盘价生成signal。对应于第二天的开盘价形成的头寸"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df['position_close_ret'] = MA_df['position_close'].shift() * MA_df['close_ret']\n",
    "MA_df['position_open_ret'] = MA_df['position_open'].shift() * MA_df['open_ret']\n",
    "MA_df['position_close_ret_demean'] = MA_df['position_close'].shift() * MA_df['close_ret_demean']\n",
    "MA_df['position_open_ret_demean'] = MA_df['position_open'].shift() * MA_df['open_ret_demean']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df['MA30_close_cumret'] = (MA_df['position_close_ret']+1).cumprod()\n",
    "MA_df['MA30_open_cumret'] = (MA_df['position_open_ret']+1).cumprod()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan,  1.,  0.])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MA_df['signal'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>indexID</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>highestIndex</th>\n",
       "      <th>lowestIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>turnoverVol</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>...</th>\n",
       "      <th>MA30</th>\n",
       "      <th>signal</th>\n",
       "      <th>position_close</th>\n",
       "      <th>position_open</th>\n",
       "      <th>position_close_ret</th>\n",
       "      <th>position_open_ret</th>\n",
       "      <th>position_close_ret_demean</th>\n",
       "      <th>position_open_ret_demean</th>\n",
       "      <th>MA30_close_cumret</th>\n",
       "      <th>MA30_open_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-06-04</td>\n",
       "      <td>3804.9600</td>\n",
       "      <td>3822.4100</td>\n",
       "      <td>3503.9400</td>\n",
       "      <td>3511.4300</td>\n",
       "      <td>9053101900</td>\n",
       "      <td>1.312962e+11</td>\n",
       "      <td>-0.076899</td>\n",
       "      <td>...</td>\n",
       "      <td>3673.361667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.076899</td>\n",
       "      <td>-0.037474</td>\n",
       "      <td>-0.077166</td>\n",
       "      <td>-0.037761</td>\n",
       "      <td>1.356627</td>\n",
       "      <td>1.459164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-06-05</td>\n",
       "      <td>3407.0000</td>\n",
       "      <td>3635.1500</td>\n",
       "      <td>3246.7300</td>\n",
       "      <td>3634.6300</td>\n",
       "      <td>11376803800</td>\n",
       "      <td>1.507649e+11</td>\n",
       "      <td>0.035085</td>\n",
       "      <td>...</td>\n",
       "      <td>3685.062667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.104590</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.104876</td>\n",
       "      <td>1.356627</td>\n",
       "      <td>1.306550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-06-06</td>\n",
       "      <td>3652.8900</td>\n",
       "      <td>3712.5300</td>\n",
       "      <td>3550.7400</td>\n",
       "      <td>3677.5800</td>\n",
       "      <td>9595151000</td>\n",
       "      <td>1.359385e+11</td>\n",
       "      <td>0.011817</td>\n",
       "      <td>...</td>\n",
       "      <td>3697.498667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.356627</td>\n",
       "      <td>1.306550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-06-25</td>\n",
       "      <td>4066.4500</td>\n",
       "      <td>4105.9900</td>\n",
       "      <td>3850.8400</td>\n",
       "      <td>3877.5900</td>\n",
       "      <td>7003104400</td>\n",
       "      <td>1.134327e+11</td>\n",
       "      <td>-0.042908</td>\n",
       "      <td>...</td>\n",
       "      <td>3925.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.042908</td>\n",
       "      <td>-0.032519</td>\n",
       "      <td>-0.043175</td>\n",
       "      <td>-0.032805</td>\n",
       "      <td>1.383489</td>\n",
       "      <td>1.392962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-06-26</td>\n",
       "      <td>3804.4100</td>\n",
       "      <td>3929.3700</td>\n",
       "      <td>3752.9300</td>\n",
       "      <td>3928.2100</td>\n",
       "      <td>5888511400</td>\n",
       "      <td>8.786774e+10</td>\n",
       "      <td>0.013055</td>\n",
       "      <td>...</td>\n",
       "      <td>3935.952333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.064439</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.064726</td>\n",
       "      <td>1.383489</td>\n",
       "      <td>1.303200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-06-28</td>\n",
       "      <td>4038.3800</td>\n",
       "      <td>4067.8100</td>\n",
       "      <td>3857.8500</td>\n",
       "      <td>3858.5200</td>\n",
       "      <td>6685798000</td>\n",
       "      <td>9.837205e+10</td>\n",
       "      <td>-0.045034</td>\n",
       "      <td>...</td>\n",
       "      <td>3949.955667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.045034</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.045301</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.321185</td>\n",
       "      <td>1.303200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-06-29</td>\n",
       "      <td>3769.3300</td>\n",
       "      <td>3867.7500</td>\n",
       "      <td>3718.1600</td>\n",
       "      <td>3764.0800</td>\n",
       "      <td>5892087000</td>\n",
       "      <td>8.852759e+10</td>\n",
       "      <td>-0.024476</td>\n",
       "      <td>...</td>\n",
       "      <td>3949.537333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.066623</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.066910</td>\n",
       "      <td>1.321185</td>\n",
       "      <td>1.216377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-07-02</td>\n",
       "      <td>3746.1800</td>\n",
       "      <td>3801.9000</td>\n",
       "      <td>3644.1900</td>\n",
       "      <td>3757.6600</td>\n",
       "      <td>4974731000</td>\n",
       "      <td>7.199587e+10</td>\n",
       "      <td>-0.001706</td>\n",
       "      <td>...</td>\n",
       "      <td>3947.078000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.321185</td>\n",
       "      <td>1.216377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4194</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-08</td>\n",
       "      <td>3553.5554</td>\n",
       "      <td>3567.8200</td>\n",
       "      <td>3535.7688</td>\n",
       "      <td>3536.4077</td>\n",
       "      <td>15530428300</td>\n",
       "      <td>2.432493e+11</td>\n",
       "      <td>-0.008800</td>\n",
       "      <td>...</td>\n",
       "      <td>3545.644737</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.008800</td>\n",
       "      <td>-0.007022</td>\n",
       "      <td>-0.009067</td>\n",
       "      <td>-0.007308</td>\n",
       "      <td>3.885789</td>\n",
       "      <td>2.280490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4195</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-09</td>\n",
       "      <td>3533.3849</td>\n",
       "      <td>3543.7141</td>\n",
       "      <td>3518.8601</td>\n",
       "      <td>3533.4871</td>\n",
       "      <td>12967094200</td>\n",
       "      <td>1.958935e+11</td>\n",
       "      <td>-0.000826</td>\n",
       "      <td>...</td>\n",
       "      <td>3547.102920</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.005963</td>\n",
       "      <td>3.885789</td>\n",
       "      <td>2.267546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3531.2295</td>\n",
       "      <td>3490.0525</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>12879027400</td>\n",
       "      <td>1.997548e+11</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>...</td>\n",
       "      <td>3548.814590</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.885789</td>\n",
       "      <td>2.267546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3520.5893</td>\n",
       "      <td>3484.9252</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>12653439500</td>\n",
       "      <td>2.002935e+11</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>...</td>\n",
       "      <td>3549.129833</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.885789</td>\n",
       "      <td>2.267546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4198</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3516.6988</td>\n",
       "      <td>3470.0611</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>12892111600</td>\n",
       "      <td>2.085662e+11</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>...</td>\n",
       "      <td>3549.982470</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.885789</td>\n",
       "      <td>2.267546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4199</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3552.4125</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>18394125000</td>\n",
       "      <td>2.674725e+11</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>...</td>\n",
       "      <td>3551.082247</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.885789</td>\n",
       "      <td>2.267546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3545.5034</td>\n",
       "      <td>3503.6158</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>17615306500</td>\n",
       "      <td>2.533160e+11</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>...</td>\n",
       "      <td>3550.192607</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.885789</td>\n",
       "      <td>2.267546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4203</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3560.9492</td>\n",
       "      <td>3529.3237</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>14728150500</td>\n",
       "      <td>2.262295e+11</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>...</td>\n",
       "      <td>3550.840463</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>3.859915</td>\n",
       "      <td>2.267579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2015 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "97    000300.ZICN        沪深300  2007-06-04  3804.9600     3822.4100   \n",
       "98    000300.ZICN        沪深300  2007-06-05  3407.0000     3635.1500   \n",
       "99    000300.ZICN        沪深300  2007-06-06  3652.8900     3712.5300   \n",
       "112   000300.ZICN        沪深300  2007-06-25  4066.4500     4105.9900   \n",
       "113   000300.ZICN        沪深300  2007-06-26  3804.4100     3929.3700   \n",
       "115   000300.ZICN        沪深300  2007-06-28  4038.3800     4067.8100   \n",
       "116   000300.ZICN        沪深300  2007-06-29  3769.3300     3867.7500   \n",
       "117   000300.ZICN        沪深300  2007-07-02  3746.1800     3801.9000   \n",
       "...           ...          ...         ...        ...           ...   \n",
       "4194  000300.ZICN        沪深300  2024-04-08  3553.5554     3567.8200   \n",
       "4195  000300.ZICN        沪深300  2024-04-09  3533.3849     3543.7141   \n",
       "4196  000300.ZICN        沪深300  2024-04-10  3528.9679     3531.2295   \n",
       "4197  000300.ZICN        沪深300  2024-04-11  3485.0294     3520.5893   \n",
       "4198  000300.ZICN        沪深300  2024-04-12  3505.7499     3516.6988   \n",
       "4199  000300.ZICN        沪深300  2024-04-15  3473.5047     3552.4125   \n",
       "4200  000300.ZICN        沪深300  2024-04-16  3533.3636     3545.5034   \n",
       "4203  000300.ZICN        沪深300  2024-04-19  3550.6087     3560.9492   \n",
       "\n",
       "      lowestIndex  closeIndex  turnoverVol  turnoverValue  close_ret  ...  \\\n",
       "97      3503.9400   3511.4300   9053101900   1.312962e+11  -0.076899  ...   \n",
       "98      3246.7300   3634.6300  11376803800   1.507649e+11   0.035085  ...   \n",
       "99      3550.7400   3677.5800   9595151000   1.359385e+11   0.011817  ...   \n",
       "112     3850.8400   3877.5900   7003104400   1.134327e+11  -0.042908  ...   \n",
       "113     3752.9300   3928.2100   5888511400   8.786774e+10   0.013055  ...   \n",
       "115     3857.8500   3858.5200   6685798000   9.837205e+10  -0.045034  ...   \n",
       "116     3718.1600   3764.0800   5892087000   8.852759e+10  -0.024476  ...   \n",
       "117     3644.1900   3757.6600   4974731000   7.199587e+10  -0.001706  ...   \n",
       "...           ...         ...          ...            ...        ...  ...   \n",
       "4194    3535.7688   3536.4077  15530428300   2.432493e+11  -0.008800  ...   \n",
       "4195    3518.8601   3533.4871  12967094200   1.958935e+11  -0.000826  ...   \n",
       "4196    3490.0525   3504.7086  12879027400   1.997548e+11  -0.008145  ...   \n",
       "4197    3484.9252   3504.2447  12653439500   2.002935e+11  -0.000132  ...   \n",
       "4198    3470.0611   3475.8389  12892111600   2.085662e+11  -0.008106  ...   \n",
       "4199    3473.5047   3549.0759  18394125000   2.674725e+11   0.021070  ...   \n",
       "4200    3503.6158   3511.1146  17615306500   2.533160e+11  -0.010696  ...   \n",
       "4203    3529.3237   3541.6619  14728150500   2.262295e+11  -0.007883  ...   \n",
       "\n",
       "             MA30  signal  position_close  position_open  position_close_ret  \\\n",
       "97    3673.361667     0.0             0.0            1.0           -0.076899   \n",
       "98    3685.062667     0.0             0.0            0.0            0.000000   \n",
       "99    3697.498667     0.0             0.0            0.0            0.000000   \n",
       "112   3925.166667     0.0             0.0            1.0           -0.042908   \n",
       "113   3935.952333     0.0             0.0            0.0            0.000000   \n",
       "115   3949.955667     0.0             0.0            1.0           -0.045034   \n",
       "116   3949.537333     0.0             0.0            0.0           -0.000000   \n",
       "117   3947.078000     0.0             0.0            0.0           -0.000000   \n",
       "...           ...     ...             ...            ...                 ...   \n",
       "4194  3545.644737     0.0             0.0            1.0           -0.008800   \n",
       "4195  3547.102920     0.0             0.0            0.0           -0.000000   \n",
       "4196  3548.814590     0.0             0.0            0.0           -0.000000   \n",
       "4197  3549.129833     0.0             0.0            0.0           -0.000000   \n",
       "4198  3549.982470     0.0             0.0            0.0           -0.000000   \n",
       "4199  3551.082247     0.0             0.0            0.0            0.000000   \n",
       "4200  3550.192607     0.0             0.0            0.0           -0.000000   \n",
       "4203  3550.840463     0.0             0.0            1.0           -0.007883   \n",
       "\n",
       "      position_open_ret  position_close_ret_demean  position_open_ret_demean  \\\n",
       "97            -0.037474                  -0.077166                 -0.037761   \n",
       "98            -0.104590                   0.000000                 -0.104876   \n",
       "99             0.000000                   0.000000                  0.000000   \n",
       "112           -0.032519                  -0.043175                 -0.032805   \n",
       "113           -0.064439                   0.000000                 -0.064726   \n",
       "115            0.000000                  -0.045301                  0.000000   \n",
       "116           -0.066623                  -0.000000                 -0.066910   \n",
       "117           -0.000000                  -0.000000                 -0.000000   \n",
       "...                 ...                        ...                       ...   \n",
       "4194          -0.007022                  -0.009067                 -0.007308   \n",
       "4195          -0.005676                  -0.000000                 -0.005963   \n",
       "4196          -0.000000                  -0.000000                 -0.000000   \n",
       "4197          -0.000000                  -0.000000                 -0.000000   \n",
       "4198           0.000000                  -0.000000                  0.000000   \n",
       "4199          -0.000000                   0.000000                 -0.000000   \n",
       "4200           0.000000                  -0.000000                  0.000000   \n",
       "4203           0.000015                  -0.008150                 -0.000272   \n",
       "\n",
       "      MA30_close_cumret  MA30_open_cumret  \n",
       "97             1.356627          1.459164  \n",
       "98             1.356627          1.306550  \n",
       "99             1.356627          1.306550  \n",
       "112            1.383489          1.392962  \n",
       "113            1.383489          1.303200  \n",
       "115            1.321185          1.303200  \n",
       "116            1.321185          1.216377  \n",
       "117            1.321185          1.216377  \n",
       "...                 ...               ...  \n",
       "4194           3.885789          2.280490  \n",
       "4195           3.885789          2.267546  \n",
       "4196           3.885789          2.267546  \n",
       "4197           3.885789          2.267546  \n",
       "4198           3.885789          2.267546  \n",
       "4199           3.885789          2.267546  \n",
       "4200           3.885789          2.267546  \n",
       "4203           3.859915          2.267579  \n",
       "\n",
       "[2015 rows x 23 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MA_df[MA_df['signal']==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
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   "outputs": [
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       "        indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "96  000300.ZICN        沪深300  2007-06-01    3953.10       4014.15   \n",
       "97  000300.ZICN        沪深300  2007-06-04    3804.96       3822.41   \n",
       "98  000300.ZICN        沪深300  2007-06-05    3407.00       3635.15   \n",
       "99  000300.ZICN        沪深300  2007-06-06    3652.89       3712.53   \n",
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       "           MA30  signal  position_close  position_open  position_close_ret  \\\n",
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       "99  3697.498667     0.0             0.0            0.0            0.000000   \n",
       "\n",
       "    position_open_ret  position_close_ret_demean  position_open_ret_demean  \\\n",
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       "98          -0.104590                   0.000000                 -0.104876   \n",
       "99           0.000000                   0.000000                  0.000000   \n",
       "\n",
       "    MA30_close_cumret  MA30_open_cumret  \n",
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       "97           1.356627          1.459164  \n",
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       "99           1.356627          1.306550  \n",
       "\n",
       "[4 rows x 23 columns]"
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     "execution_count": 34,
     "metadata": {},
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   "execution_count": 35,
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     "execution_count": 35,
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   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
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   "outputs": [
    {
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     "execution_count": 36,
     "metadata": {},
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   "source": [
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  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
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   "outputs": [
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       "      <td>2007-06-07</td>\n",
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       "      <td>3814.19</td>\n",
       "      <td>3837.87</td>\n",
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       "      <td>2007-06-11</td>\n",
       "      <td>3876.07</td>\n",
       "      <td>3931.86</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.024490</td>\n",
       "      <td>0.016224</td>\n",
       "      <td>0.024223</td>\n",
       "      <td>0.015937</td>\n",
       "      <td>1.034074</td>\n",
       "      <td>1.016224</td>\n",
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       "      <th>103</th>\n",
       "      <td>2007-06-12</td>\n",
       "      <td>3953.96</td>\n",
       "      <td>4036.11</td>\n",
       "      <td>0.026514</td>\n",
       "      <td>0.020095</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.026514</td>\n",
       "      <td>0.020095</td>\n",
       "      <td>0.026247</td>\n",
       "      <td>0.019808</td>\n",
       "      <td>1.061492</td>\n",
       "      <td>1.036645</td>\n",
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       "      <th>104</th>\n",
       "      <td>2007-06-13</td>\n",
       "      <td>4071.74</td>\n",
       "      <td>4118.27</td>\n",
       "      <td>0.020356</td>\n",
       "      <td>0.029788</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.020356</td>\n",
       "      <td>0.029788</td>\n",
       "      <td>0.020089</td>\n",
       "      <td>0.029501</td>\n",
       "      <td>1.083099</td>\n",
       "      <td>1.067524</td>\n",
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       "      <th>105</th>\n",
       "      <td>2007-06-14</td>\n",
       "      <td>4103.52</td>\n",
       "      <td>4075.82</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>-0.010575</td>\n",
       "      <td>0.007518</td>\n",
       "      <td>1.071935</td>\n",
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       "      <td>2007-06-15</td>\n",
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       "      <td>0.005513</td>\n",
       "      <td>-0.015008</td>\n",
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       "      <td>2007-06-18</td>\n",
       "      <td>4178.76</td>\n",
       "      <td>4227.57</td>\n",
       "      <td>0.031271</td>\n",
       "      <td>0.033551</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.031271</td>\n",
       "      <td>0.033551</td>\n",
       "      <td>0.031004</td>\n",
       "      <td>0.033264</td>\n",
       "      <td>1.111845</td>\n",
       "      <td>1.095583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2007-06-19</td>\n",
       "      <td>4227.59</td>\n",
       "      <td>4253.00</td>\n",
       "      <td>0.006015</td>\n",
       "      <td>0.011685</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006015</td>\n",
       "      <td>0.011685</td>\n",
       "      <td>0.005748</td>\n",
       "      <td>0.011399</td>\n",
       "      <td>1.118532</td>\n",
       "      <td>1.108385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2007-06-20</td>\n",
       "      <td>4268.65</td>\n",
       "      <td>4157.60</td>\n",
       "      <td>-0.022431</td>\n",
       "      <td>0.009712</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.022431</td>\n",
       "      <td>0.009712</td>\n",
       "      <td>-0.022698</td>\n",
       "      <td>0.009426</td>\n",
       "      <td>1.093443</td>\n",
       "      <td>1.119150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2007-06-21</td>\n",
       "      <td>4140.69</td>\n",
       "      <td>4197.28</td>\n",
       "      <td>0.009544</td>\n",
       "      <td>-0.029977</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.009544</td>\n",
       "      <td>-0.029977</td>\n",
       "      <td>0.009277</td>\n",
       "      <td>-0.030263</td>\n",
       "      <td>1.103878</td>\n",
       "      <td>1.085601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2007-06-22</td>\n",
       "      <td>4203.13</td>\n",
       "      <td>4051.43</td>\n",
       "      <td>-0.034749</td>\n",
       "      <td>0.015080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.034749</td>\n",
       "      <td>0.015080</td>\n",
       "      <td>-0.035016</td>\n",
       "      <td>0.014793</td>\n",
       "      <td>1.065520</td>\n",
       "      <td>1.101972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2007-06-25</td>\n",
       "      <td>4066.45</td>\n",
       "      <td>3877.59</td>\n",
       "      <td>-0.042908</td>\n",
       "      <td>-0.032519</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.042908</td>\n",
       "      <td>-0.032519</td>\n",
       "      <td>-0.043175</td>\n",
       "      <td>-0.032805</td>\n",
       "      <td>1.019800</td>\n",
       "      <td>1.066137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2007-06-26</td>\n",
       "      <td>3804.41</td>\n",
       "      <td>3928.21</td>\n",
       "      <td>0.013055</td>\n",
       "      <td>-0.064439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.064439</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.064726</td>\n",
       "      <td>1.019800</td>\n",
       "      <td>0.997436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      tradeDate  openIndex  closeIndex  close_ret  open_ret  signal  \\\n",
       "99   2007-06-06    3652.89     3677.58   0.011817  0.072172     0.0   \n",
       "100  2007-06-07    3694.55     3802.30   0.033914  0.011405     1.0   \n",
       "101  2007-06-08    3814.19     3837.87   0.009355  0.032383     1.0   \n",
       "102  2007-06-11    3876.07     3931.86   0.024490  0.016224     1.0   \n",
       "103  2007-06-12    3953.96     4036.11   0.026514  0.020095     1.0   \n",
       "104  2007-06-13    4071.74     4118.27   0.020356  0.029788     1.0   \n",
       "105  2007-06-14    4103.52     4075.82  -0.010308  0.007805     1.0   \n",
       "106  2007-06-15    4043.11     4099.38   0.005780 -0.014722     1.0   \n",
       "107  2007-06-18    4178.76     4227.57   0.031271  0.033551     1.0   \n",
       "108  2007-06-19    4227.59     4253.00   0.006015  0.011685     1.0   \n",
       "109  2007-06-20    4268.65     4157.60  -0.022431  0.009712     1.0   \n",
       "110  2007-06-21    4140.69     4197.28   0.009544 -0.029977     1.0   \n",
       "111  2007-06-22    4203.13     4051.43  -0.034749  0.015080     1.0   \n",
       "112  2007-06-25    4066.45     3877.59  -0.042908 -0.032519     0.0   \n",
       "113  2007-06-26    3804.41     3928.21   0.013055 -0.064439     0.0   \n",
       "\n",
       "     position_close  position_open  position_close_ret  position_open_ret  \\\n",
       "99              0.0            0.0            0.000000           0.000000   \n",
       "100             1.0            0.0            0.000000           0.000000   \n",
       "101             1.0            1.0            0.009355           0.000000   \n",
       "102             1.0            1.0            0.024490           0.016224   \n",
       "103             1.0            1.0            0.026514           0.020095   \n",
       "104             1.0            1.0            0.020356           0.029788   \n",
       "105             1.0            1.0           -0.010308           0.007805   \n",
       "106             1.0            1.0            0.005780          -0.014722   \n",
       "107             1.0            1.0            0.031271           0.033551   \n",
       "108             1.0            1.0            0.006015           0.011685   \n",
       "109             1.0            1.0           -0.022431           0.009712   \n",
       "110             1.0            1.0            0.009544          -0.029977   \n",
       "111             1.0            1.0           -0.034749           0.015080   \n",
       "112             0.0            1.0           -0.042908          -0.032519   \n",
       "113             0.0            0.0            0.000000          -0.064439   \n",
       "\n",
       "     position_close_ret_demean  position_open_ret_demean  MA30_close_cumret  \\\n",
       "99                    0.000000                  0.000000           1.000000   \n",
       "100                   0.000000                  0.000000           1.000000   \n",
       "101                   0.009088                  0.000000           1.009355   \n",
       "102                   0.024223                  0.015937           1.034074   \n",
       "103                   0.026247                  0.019808           1.061492   \n",
       "104                   0.020089                  0.029501           1.083099   \n",
       "105                  -0.010575                  0.007518           1.071935   \n",
       "106                   0.005513                 -0.015008           1.078130   \n",
       "107                   0.031004                  0.033264           1.111845   \n",
       "108                   0.005748                  0.011399           1.118532   \n",
       "109                  -0.022698                  0.009426           1.093443   \n",
       "110                   0.009277                 -0.030263           1.103878   \n",
       "111                  -0.035016                  0.014793           1.065520   \n",
       "112                  -0.043175                 -0.032805           1.019800   \n",
       "113                   0.000000                 -0.064726           1.019800   \n",
       "\n",
       "     MA30_open_cumret  \n",
       "99           1.000000  \n",
       "100          1.000000  \n",
       "101          1.000000  \n",
       "102          1.016224  \n",
       "103          1.036645  \n",
       "104          1.067524  \n",
       "105          1.075856  \n",
       "106          1.060018  \n",
       "107          1.095583  \n",
       "108          1.108385  \n",
       "109          1.119150  \n",
       "110          1.085601  \n",
       "111          1.101972  \n",
       "112          1.066137  \n",
       "113          0.997436  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0198011729742524\n",
      "0.9974358907133625\n"
     ]
    }
   ],
   "source": [
    "## Example\n",
    "temp = MA_df.loc[99:113,['tradeDate','openIndex','closeIndex','close_ret','open_ret','signal',\n",
    "                        'position_close','position_open','position_close_ret','position_open_ret',\n",
    "                        'position_close_ret_demean','position_open_ret_demean']].copy()\n",
    "temp['MA30_close_cumret'] = (temp['position_close_ret']+1).cumprod()\n",
    "temp['MA30_open_cumret'] = (temp['position_open_ret']+1).cumprod()\n",
    "\n",
    "display(temp)\n",
    "\n",
    "# close \n",
    "print(3877.59 / 3802.30)\n",
    "\n",
    "# open\n",
    "print(3804.41 / 3814.19)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA30_ret_df = MA_df[['tradeDate','openIndex','closeIndex','open_ret','close_ret','MA30',\n",
    "                        'signal','position_close','position_open','position_close_ret','position_open_ret',\n",
    "                        'position_close_ret_demean','position_open_ret_demean',\n",
    "                        'MA30_close_cumret','MA30_open_cumret']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA30_ret_df.set_index('tradeDate',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9f217d0090>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Close price cumret\n",
    "fig, axes = plt.subplots(3,1)\n",
    "MA30_ret_df[['closeIndex','MA30']].plot(ax=axes[0],grid=True)\n",
    "MA30_ret_df[['position_close']].plot(ax=axes[1],grid=True)\n",
    "MA30_ret_df[['MA30_close_cumret']].plot(ax=axes[2],grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0ac130210>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# open price cumret\n",
    "fig, axes = plt.subplots(3,1)\n",
    "MA30_ret_df[['openIndex','MA30']].plot(ax=axes[0],grid=True)\n",
    "MA30_ret_df[['position_open']].plot(ax=axes[1], grid=True)\n",
    "MA30_ret_df[['MA30_open_cumret']].plot(ax=axes[2], grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### MA20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>indexID</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>highestIndex</th>\n",
       "      <th>lowestIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>turnoverVol</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret_demean</th>\n",
       "      <th>open_ret_demean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-04</td>\n",
       "      <td>2073.2500</td>\n",
       "      <td>2139.4900</td>\n",
       "      <td>2054.2400</td>\n",
       "      <td>2067.0900</td>\n",
       "      <td>10671970700</td>\n",
       "      <td>8.238107e+10</td>\n",
       "      <td>0.012758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012491</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-05</td>\n",
       "      <td>2051.1500</td>\n",
       "      <td>2083.4000</td>\n",
       "      <td>2030.7600</td>\n",
       "      <td>2072.8800</td>\n",
       "      <td>9274344700</td>\n",
       "      <td>6.802606e+10</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>-0.010660</td>\n",
       "      <td>0.002534</td>\n",
       "      <td>-0.010946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>2072.0000</td>\n",
       "      <td>2131.7400</td>\n",
       "      <td>2071.7200</td>\n",
       "      <td>2131.5600</td>\n",
       "      <td>8476790900</td>\n",
       "      <td>6.630394e+10</td>\n",
       "      <td>0.028308</td>\n",
       "      <td>0.010165</td>\n",
       "      <td>0.028041</td>\n",
       "      <td>0.009878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-09</td>\n",
       "      <td>2137.4900</td>\n",
       "      <td>2201.3600</td>\n",
       "      <td>2128.0600</td>\n",
       "      <td>2200.0900</td>\n",
       "      <td>8157762900</td>\n",
       "      <td>6.545619e+10</td>\n",
       "      <td>0.032150</td>\n",
       "      <td>0.031607</td>\n",
       "      <td>0.031883</td>\n",
       "      <td>0.031320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-10</td>\n",
       "      <td>2210.7600</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>2194.7700</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>8490497900</td>\n",
       "      <td>6.882262e+10</td>\n",
       "      <td>0.025399</td>\n",
       "      <td>0.034279</td>\n",
       "      <td>0.025132</td>\n",
       "      <td>0.033992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-11</td>\n",
       "      <td>2257.0100</td>\n",
       "      <td>2289.9500</td>\n",
       "      <td>2224.3700</td>\n",
       "      <td>2231.6300</td>\n",
       "      <td>8627654800</td>\n",
       "      <td>6.873001e+10</td>\n",
       "      <td>-0.010789</td>\n",
       "      <td>0.020920</td>\n",
       "      <td>-0.011056</td>\n",
       "      <td>0.020634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-12</td>\n",
       "      <td>2215.8600</td>\n",
       "      <td>2249.5400</td>\n",
       "      <td>2159.7700</td>\n",
       "      <td>2173.7500</td>\n",
       "      <td>7652572000</td>\n",
       "      <td>6.174283e+10</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>-0.018232</td>\n",
       "      <td>-0.026203</td>\n",
       "      <td>-0.018519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-15</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.6800</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.3400</td>\n",
       "      <td>6640309700</td>\n",
       "      <td>5.704345e+10</td>\n",
       "      <td>0.052255</td>\n",
       "      <td>-0.020272</td>\n",
       "      <td>0.051988</td>\n",
       "      <td>-0.020559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3531.2295</td>\n",
       "      <td>3490.0525</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>12879027400</td>\n",
       "      <td>1.997548e+11</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008412</td>\n",
       "      <td>-0.001537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3520.5893</td>\n",
       "      <td>3484.9252</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>12653439500</td>\n",
       "      <td>2.002935e+11</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>-0.012738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4198</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3516.6988</td>\n",
       "      <td>3470.0611</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>12892111600</td>\n",
       "      <td>2.085662e+11</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008373</td>\n",
       "      <td>0.005659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4199</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3552.4125</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>18394125000</td>\n",
       "      <td>2.674725e+11</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.020803</td>\n",
       "      <td>-0.009485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3545.5034</td>\n",
       "      <td>3503.6158</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>17615306500</td>\n",
       "      <td>2.533160e+11</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.016946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4201</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.9389</td>\n",
       "      <td>3498.0324</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>16846639800</td>\n",
       "      <td>2.449878e+11</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015195</td>\n",
       "      <td>-0.007145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4202</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3602.7902</td>\n",
       "      <td>3547.5996</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>17857410500</td>\n",
       "      <td>2.613299e+11</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.011518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4203</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3560.9492</td>\n",
       "      <td>3529.3237</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>14728150500</td>\n",
       "      <td>2.262295e+11</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4204 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "0     000300.ZICN        沪深300  2007-01-04  2073.2500     2139.4900   \n",
       "1     000300.ZICN        沪深300  2007-01-05  2051.1500     2083.4000   \n",
       "2     000300.ZICN        沪深300  2007-01-08  2072.0000     2131.7400   \n",
       "3     000300.ZICN        沪深300  2007-01-09  2137.4900     2201.3600   \n",
       "4     000300.ZICN        沪深300  2007-01-10  2210.7600     2255.9700   \n",
       "5     000300.ZICN        沪深300  2007-01-11  2257.0100     2289.9500   \n",
       "6     000300.ZICN        沪深300  2007-01-12  2215.8600     2249.5400   \n",
       "7     000300.ZICN        沪深300  2007-01-15  2170.9400     2287.6800   \n",
       "...           ...          ...         ...        ...           ...   \n",
       "4196  000300.ZICN        沪深300  2024-04-10  3528.9679     3531.2295   \n",
       "4197  000300.ZICN        沪深300  2024-04-11  3485.0294     3520.5893   \n",
       "4198  000300.ZICN        沪深300  2024-04-12  3505.7499     3516.6988   \n",
       "4199  000300.ZICN        沪深300  2024-04-15  3473.5047     3552.4125   \n",
       "4200  000300.ZICN        沪深300  2024-04-16  3533.3636     3545.5034   \n",
       "4201  000300.ZICN        沪深300  2024-04-17  3509.1318     3565.9389   \n",
       "4202  000300.ZICN        沪深300  2024-04-18  3550.5562     3602.7902   \n",
       "4203  000300.ZICN        沪深300  2024-04-19  3550.6087     3560.9492   \n",
       "\n",
       "      lowestIndex  closeIndex  turnoverVol  turnoverValue  close_ret  \\\n",
       "0       2054.2400   2067.0900  10671970700   8.238107e+10   0.012758   \n",
       "1       2030.7600   2072.8800   9274344700   6.802606e+10   0.002801   \n",
       "2       2071.7200   2131.5600   8476790900   6.630394e+10   0.028308   \n",
       "3       2128.0600   2200.0900   8157762900   6.545619e+10   0.032150   \n",
       "4       2194.7700   2255.9700   8490497900   6.882262e+10   0.025399   \n",
       "5       2224.3700   2231.6300   8627654800   6.873001e+10  -0.010789   \n",
       "6       2159.7700   2173.7500   7652572000   6.174283e+10  -0.025936   \n",
       "7       2170.9400   2287.3400   6640309700   5.704345e+10   0.052255   \n",
       "...           ...         ...          ...            ...        ...   \n",
       "4196    3490.0525   3504.7086  12879027400   1.997548e+11  -0.008145   \n",
       "4197    3484.9252   3504.2447  12653439500   2.002935e+11  -0.000132   \n",
       "4198    3470.0611   3475.8389  12892111600   2.085662e+11  -0.008106   \n",
       "4199    3473.5047   3549.0759  18394125000   2.674725e+11   0.021070   \n",
       "4200    3503.6158   3511.1146  17615306500   2.533160e+11  -0.010696   \n",
       "4201    3498.0324   3565.4030  16846639800   2.449878e+11   0.015462   \n",
       "4202    3547.5996   3569.8018  17857410500   2.613299e+11   0.001234   \n",
       "4203    3529.3237   3541.6619  14728150500   2.262295e+11  -0.007883   \n",
       "\n",
       "      open_ret  close_ret_demean  open_ret_demean  \n",
       "0          NaN          0.012491              NaN  \n",
       "1    -0.010660          0.002534        -0.010946  \n",
       "2     0.010165          0.028041         0.009878  \n",
       "3     0.031607          0.031883         0.031320  \n",
       "4     0.034279          0.025132         0.033992  \n",
       "5     0.020920         -0.011056         0.020634  \n",
       "6    -0.018232         -0.026203        -0.018519  \n",
       "7    -0.020272          0.051988        -0.020559  \n",
       "...        ...               ...              ...  \n",
       "4196 -0.001250         -0.008412        -0.001537  \n",
       "4197 -0.012451         -0.000399        -0.012738  \n",
       "4198  0.005946         -0.008373         0.005659  \n",
       "4199 -0.009198          0.020803        -0.009485  \n",
       "4200  0.017233         -0.010963         0.016946  \n",
       "4201 -0.006858          0.015195        -0.007145  \n",
       "4202  0.011805          0.000967         0.011518  \n",
       "4203  0.000015         -0.008150        -0.000272  \n",
       "\n",
       "[4204 rows x 13 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df = hs300_df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a7ffc9d0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ma_length = 20\n",
    "\n",
    "MA_df[f'MA{ma_length}'] = ta.SMA(MA_df['closeIndex'], ma_length)\n",
    "MA_df['signal'] = 0\n",
    "ndays = MA_df.shape[0]\n",
    "MA_df.loc[MA_df['closeIndex'] > MA_df[f'MA{ma_length}'], 'signal'] = 1\n",
    "MA_df['open_ret'] = MA_df['openIndex']/MA_df['openIndex'].shift()-1\n",
    "MA_df['position_close'] = MA_df['signal']\n",
    "MA_df['position_open'] = MA_df['signal'].shift()\n",
    "MA_df.rename(columns={'CHGPct':'close_ret'},inplace=True)\n",
    "MA_df['position_close'] = MA_df['signal']\n",
    "MA_df['position_close_ret'] = MA_df['position_close'].shift() * MA_df['close_ret']\n",
    "MA_df['position_open_ret'] = MA_df['position_open'].shift() * MA_df['open_ret']\n",
    "MA_df['position_close_ret_demean'] = MA_df['position_close'].shift() * MA_df['close_ret_demean']\n",
    "MA_df['position_open_ret_demean'] = MA_df['position_open'].shift() * MA_df['open_ret_demean']\n",
    "\n",
    "MA_df[f'MA{ma_length}_close_cumret'] = (MA_df['position_close_ret']+1).cumprod()\n",
    "MA_df[f'MA{ma_length}_open_cumret'] = (MA_df['position_open_ret']+1).cumprod()\n",
    "MA_ret_df = MA_df[['tradeDate','openIndex','closeIndex','open_ret','close_ret',f'MA{ma_length}',\n",
    "                        'signal','position_close','position_open','position_close_ret','position_open_ret',\n",
    "                        'position_close_ret_demean','position_open_ret_demean',\n",
    "                        f'MA{ma_length}_close_cumret',f'MA{ma_length}_open_cumret']].copy()\n",
    "MA_ret_df.set_index('tradeDate',inplace=True)\n",
    "# Close price cumret\n",
    "fig, axes = plt.subplots(3,1)\n",
    "MA_ret_df[['closeIndex',f'MA{ma_length}']].plot(ax=axes[0],grid=True)\n",
    "MA_ret_df[['position_close']].plot(ax=axes[1],grid=True)\n",
    "MA_ret_df[[f'MA{ma_length}_close_cumret']].plot(ax=axes[2],grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a7e6b450>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# open price cumret\n",
    "fig, axes = plt.subplots(3,1)\n",
    "MA_ret_df[['openIndex',f'MA{ma_length}']].plot(ax=axes[0],grid=True)\n",
    "MA_ret_df[['position_open']].plot(ax=axes[1],grid=True)\n",
    "MA_ret_df[[f'MA{ma_length}_open_cumret']].plot(ax=axes[2],grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "## Exponential moving average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "EMA(real[, timeperiod=?])\n",
       "\n",
       "Exponential Moving Average (Overlap Studies)\n",
       "\n",
       "Inputs:\n",
       "    real: (any ndarray)\n",
       "Parameters:\n",
       "    timeperiod: 30\n",
       "Outputs:\n",
       "    real\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ta.EMA?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "\\begin{aligned}\n",
    "E M A_{\\text {Today }}=&\\left(\\text { Value }_{\\text {Today }} *\\left(\\frac{\\text { Smoothing }}{1+\\text { Days }}\\right)\\right) \\\\\n",
    "&+E M A_{\\text {Yesterday }} *\\left(1-\\left(\\frac{\\text { Smoothing }}{1+\\text { Days }}\\right)\\right)\n",
    "\\end{aligned}\n",
    "\n",
    "Smoothing = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### EMA20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "ema_length = 20\n",
    "EMA_df = hs300_df.copy()\n",
    "EMA_df['EMA'] = ta.EMA(EMA_df['closeIndex'], ema_length)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a7efa810>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "EMA_df[['tradeDate','closeIndex','EMA']].set_index('tradeDate').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a7c64990>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "EMA_df['EMA'] = ta.EMA(EMA_df['closeIndex'], ema_length)\n",
    "EMA_df['signal'] = 0\n",
    "EMA_df.loc[EMA_df['closeIndex'] > EMA_df['EMA'], 'signal'] = 1\n",
    "EMA_df['open_ret'] = EMA_df['openIndex']/EMA_df['openIndex'].shift()-1\n",
    "EMA_df['position_close'] = EMA_df['signal']\n",
    "EMA_df['position_open'] = EMA_df['signal'].shift()\n",
    "EMA_df.rename(columns={'CHGPct':'close_ret'},inplace=True)\n",
    "EMA_df['position_close_ret'] = EMA_df['position_close'].shift() * EMA_df['close_ret']\n",
    "EMA_df['position_open_ret'] = EMA_df['position_open'].shift() * EMA_df['open_ret']\n",
    "EMA_df['position_close_ret_demean'] = EMA_df['position_close'].shift() * EMA_df['close_ret_demean']\n",
    "EMA_df['position_open_ret_demean'] = EMA_df['position_open'].shift() * EMA_df['open_ret_demean']\n",
    "EMA_df['EMA_close_cumret'] = (EMA_df['position_close_ret']+1).cumprod()\n",
    "EMA_df['EMA_open_cumret'] = (EMA_df['position_open_ret']+1).cumprod()\n",
    "EMA_ret_df = EMA_df[['tradeDate','openIndex','closeIndex','open_ret','close_ret','EMA',\n",
    "                        'signal','position_close','position_open','position_close_ret','position_open_ret',\n",
    "                       'position_close_ret_demean','position_open_ret_demean',\n",
    "                        'EMA_close_cumret','EMA_open_cumret']].copy()\n",
    "EMA_ret_df.set_index('tradeDate',inplace=True)\n",
    "# open price cumret\n",
    "fig, axes = plt.subplots(3,1)\n",
    "EMA_ret_df[['openIndex','EMA']].plot(ax=axes[0], grid=True)\n",
    "EMA_ret_df[['position_open']].plot(ax=axes[1], grid=True)\n",
    "EMA_ret_df[['EMA_open_cumret']].plot(ax=axes[2], grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>openIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>EMA</th>\n",
       "      <th>signal</th>\n",
       "      <th>position_close</th>\n",
       "      <th>position_open</th>\n",
       "      <th>position_close_ret</th>\n",
       "      <th>position_open_ret</th>\n",
       "      <th>position_close_ret_demean</th>\n",
       "      <th>position_open_ret_demean</th>\n",
       "      <th>EMA_close_cumret</th>\n",
       "      <th>EMA_open_cumret</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tradeDate</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-01-04</th>\n",
       "      <td>2073.2500</td>\n",
       "      <td>2067.0900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-05</th>\n",
       "      <td>2051.1500</td>\n",
       "      <td>2072.8800</td>\n",
       "      <td>-0.010660</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-08</th>\n",
       "      <td>2072.0000</td>\n",
       "      <td>2131.5600</td>\n",
       "      <td>0.010165</td>\n",
       "      <td>0.028308</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-09</th>\n",
       "      <td>2137.4900</td>\n",
       "      <td>2200.0900</td>\n",
       "      <td>0.031607</td>\n",
       "      <td>0.032150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-10</th>\n",
       "      <td>2210.7600</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>0.034279</td>\n",
       "      <td>0.025399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-11</th>\n",
       "      <td>2257.0100</td>\n",
       "      <td>2231.6300</td>\n",
       "      <td>0.020920</td>\n",
       "      <td>-0.010789</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-12</th>\n",
       "      <td>2215.8600</td>\n",
       "      <td>2173.7500</td>\n",
       "      <td>-0.018232</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-15</th>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.3400</td>\n",
       "      <td>-0.020272</td>\n",
       "      <td>0.052255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-10</th>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>3538.776923</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-11</th>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>3535.488139</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-12</th>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>3529.807260</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-15</th>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>3531.642368</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-16</th>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>3529.687343</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.504912</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-17</th>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>3533.088834</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>3.504912</td>\n",
       "      <td>2.454213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-18</th>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>3536.585307</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.509237</td>\n",
       "      <td>2.454213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-19</th>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>3537.068792</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>3.481574</td>\n",
       "      <td>2.454249</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4204 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            openIndex  closeIndex  open_ret  close_ret          EMA  signal  \\\n",
       "tradeDate                                                                     \n",
       "2007-01-04  2073.2500   2067.0900       NaN   0.012758          NaN       0   \n",
       "2007-01-05  2051.1500   2072.8800 -0.010660   0.002801          NaN       0   \n",
       "2007-01-08  2072.0000   2131.5600  0.010165   0.028308          NaN       0   \n",
       "2007-01-09  2137.4900   2200.0900  0.031607   0.032150          NaN       0   \n",
       "2007-01-10  2210.7600   2255.9700  0.034279   0.025399          NaN       0   \n",
       "2007-01-11  2257.0100   2231.6300  0.020920  -0.010789          NaN       0   \n",
       "2007-01-12  2215.8600   2173.7500 -0.018232  -0.025936          NaN       0   \n",
       "2007-01-15  2170.9400   2287.3400 -0.020272   0.052255          NaN       0   \n",
       "...               ...         ...       ...        ...          ...     ...   \n",
       "2024-04-10  3528.9679   3504.7086 -0.001250  -0.008145  3538.776923       0   \n",
       "2024-04-11  3485.0294   3504.2447 -0.012451  -0.000132  3535.488139       0   \n",
       "2024-04-12  3505.7499   3475.8389  0.005946  -0.008106  3529.807260       0   \n",
       "2024-04-15  3473.5047   3549.0759 -0.009198   0.021070  3531.642368       1   \n",
       "2024-04-16  3533.3636   3511.1146  0.017233  -0.010696  3529.687343       0   \n",
       "2024-04-17  3509.1318   3565.4030 -0.006858   0.015462  3533.088834       1   \n",
       "2024-04-18  3550.5562   3569.8018  0.011805   0.001234  3536.585307       1   \n",
       "2024-04-19  3550.6087   3541.6619  0.000015  -0.007883  3537.068792       1   \n",
       "\n",
       "            position_close  position_open  position_close_ret  \\\n",
       "tradeDate                                                       \n",
       "2007-01-04               0            NaN                 NaN   \n",
       "2007-01-05               0            0.0            0.000000   \n",
       "2007-01-08               0            0.0            0.000000   \n",
       "2007-01-09               0            0.0            0.000000   \n",
       "2007-01-10               0            0.0            0.000000   \n",
       "2007-01-11               0            0.0           -0.000000   \n",
       "2007-01-12               0            0.0           -0.000000   \n",
       "2007-01-15               0            0.0            0.000000   \n",
       "...                    ...            ...                 ...   \n",
       "2024-04-10               0            0.0           -0.000000   \n",
       "2024-04-11               0            0.0           -0.000000   \n",
       "2024-04-12               0            0.0           -0.000000   \n",
       "2024-04-15               1            0.0            0.000000   \n",
       "2024-04-16               0            1.0           -0.010696   \n",
       "2024-04-17               1            0.0            0.000000   \n",
       "2024-04-18               1            1.0            0.001234   \n",
       "2024-04-19               1            1.0           -0.007883   \n",
       "\n",
       "            position_open_ret  position_close_ret_demean  \\\n",
       "tradeDate                                                  \n",
       "2007-01-04                NaN                        NaN   \n",
       "2007-01-05                NaN                   0.000000   \n",
       "2007-01-08           0.000000                   0.000000   \n",
       "2007-01-09           0.000000                   0.000000   \n",
       "2007-01-10           0.000000                   0.000000   \n",
       "2007-01-11           0.000000                  -0.000000   \n",
       "2007-01-12          -0.000000                  -0.000000   \n",
       "2007-01-15          -0.000000                   0.000000   \n",
       "...                       ...                        ...   \n",
       "2024-04-10          -0.000000                  -0.000000   \n",
       "2024-04-11          -0.000000                  -0.000000   \n",
       "2024-04-12           0.000000                  -0.000000   \n",
       "2024-04-15          -0.000000                   0.000000   \n",
       "2024-04-16           0.000000                  -0.010963   \n",
       "2024-04-17          -0.006858                   0.000000   \n",
       "2024-04-18           0.000000                   0.000967   \n",
       "2024-04-19           0.000015                  -0.008150   \n",
       "\n",
       "            position_open_ret_demean  EMA_close_cumret  EMA_open_cumret  \n",
       "tradeDate                                                                \n",
       "2007-01-04                       NaN               NaN              NaN  \n",
       "2007-01-05                       NaN          1.000000              NaN  \n",
       "2007-01-08                  0.000000          1.000000         1.000000  \n",
       "2007-01-09                  0.000000          1.000000         1.000000  \n",
       "2007-01-10                  0.000000          1.000000         1.000000  \n",
       "2007-01-11                  0.000000          1.000000         1.000000  \n",
       "2007-01-12                 -0.000000          1.000000         1.000000  \n",
       "2007-01-15                 -0.000000          1.000000         1.000000  \n",
       "...                              ...               ...              ...  \n",
       "2024-04-10                 -0.000000          3.542806         2.471160  \n",
       "2024-04-11                 -0.000000          3.542806         2.471160  \n",
       "2024-04-12                  0.000000          3.542806         2.471160  \n",
       "2024-04-15                 -0.000000          3.542806         2.471160  \n",
       "2024-04-16                  0.000000          3.504912         2.471160  \n",
       "2024-04-17                 -0.007145          3.504912         2.454213  \n",
       "2024-04-18                  0.000000          3.509237         2.454213  \n",
       "2024-04-19                 -0.000272          3.481574         2.454249  \n",
       "\n",
       "[4204 rows x 14 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "EMA_ret_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "# Statistical Inferences"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "## Cross-sectional test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "def rule_return(df, demean=True, open_ret=True):\n",
    "    \"\"\"\n",
    "    df should contain these columns:\n",
    "        signal: the signal generated by the rule\n",
    "        close_ret: return calculated by close price\n",
    "        open_ret: return calculated by open price\n",
    "    close_ret_demean is demeaned return of close_ret, i.e. close_ret - close_ret.mean.\n",
    "    open_ret_demean is similarly defined. The use of demeaned return series is to adjust the\n",
    "    bias created by bullish or bearish markets.\n",
    "    \"\"\"\n",
    "    df['close_ret_demean'] = df['close_ret'] - df['close_ret'].mean()\n",
    "    df['open_ret_demean'] = df['open_ret'] - df['open_ret'].mean()\n",
    "    df['position_close'] = df['signal']\n",
    "    df['position_open'] = df['signal'].shift()\n",
    "    df['position_close_ret'] = df['position_close'].shift() * df['close_ret']\n",
    "    df['position_open_ret'] = df['position_open'].shift() * df['open_ret']\n",
    "    df['position_close_ret_demean'] = df['position_close'].shift() * df['close_ret_demean']\n",
    "    df['position_open_ret_demean'] = df['position_open'].shift() * df['open_ret_demean']\n",
    "    df['close_cumret'] = (df['position_close_ret']+1).cumprod()\n",
    "    df['open_cumret'] = (df['position_open_ret']+1).cumprod()\n",
    "    if open_ret:\n",
    "        if demean:\n",
    "            return pd.DataFrame({'tradeDate':df['tradeDate'].values,\n",
    "                                 'position_open_ret_demean':df['position_open_ret_demean'].values, \n",
    "                                 'open_cumret':df['open_cumret'].values})\n",
    "        else:\n",
    "            return pd.DataFrame({'tradeDate':df['tradeDate'].values,\n",
    "                                 'position_open_ret':df['position_open_ret'].values, \n",
    "                                 'open_cumret':df['open_cumret'].values})\n",
    "    else:\n",
    "        if demean:\n",
    "            return pd.DataFrame({'tradeDate':df['tradeDate'].values,\n",
    "                                 'position_close_ret_demean':df['position_close_ret_demean'].values, \n",
    "                                 'close_cumret':df['close_cumret'].values})\n",
    "        else:\n",
    "            return pd.DataFrame({'tradeDate':df['tradeDate'].values,\n",
    "                                 'position_close_ret':df['position_close_ret'].values, \n",
    "                                 'close_cumret':df['close_cumret'].values})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "ema_length = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>preClosePrice</th>\n",
       "      <th>closePrice</th>\n",
       "      <th>openPrice</th>\n",
       "      <th>highestPrice</th>\n",
       "      <th>lowestPrice</th>\n",
       "      <th>negMarketValue</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>turnoverRate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-20</td>\n",
       "      <td>824.193</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1044.285</td>\n",
       "      <td>1053.778</td>\n",
       "      <td>970.235</td>\n",
       "      <td>4.835036e+10</td>\n",
       "      <td>4.182345e+09</td>\n",
       "      <td>0.0840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-21</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1026.564</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>988.906</td>\n",
       "      <td>5.318694e+10</td>\n",
       "      <td>2.285485e+09</td>\n",
       "      <td>0.0440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-22</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1126.562</td>\n",
       "      <td>1132.891</td>\n",
       "      <td>1069.601</td>\n",
       "      <td>5.487665e+10</td>\n",
       "      <td>2.761567e+09</td>\n",
       "      <td>0.0510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-25</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1139.536</td>\n",
       "      <td>1157.574</td>\n",
       "      <td>1087.005</td>\n",
       "      <td>5.456661e+10</td>\n",
       "      <td>2.324186e+09</td>\n",
       "      <td>0.0426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-26</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.456661e+10</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-27</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>1069.284</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>4.994705e+10</td>\n",
       "      <td>2.446556e+09</td>\n",
       "      <td>0.0489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-28</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>953.780</td>\n",
       "      <td>996.817</td>\n",
       "      <td>1024.348</td>\n",
       "      <td>950.299</td>\n",
       "      <td>4.672266e+10</td>\n",
       "      <td>1.617434e+09</td>\n",
       "      <td>0.0336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-29</td>\n",
       "      <td>953.780</td>\n",
       "      <td>870.870</td>\n",
       "      <td>943.021</td>\n",
       "      <td>948.717</td>\n",
       "      <td>861.377</td>\n",
       "      <td>4.266117e+10</td>\n",
       "      <td>1.410758e+09</td>\n",
       "      <td>0.0316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578732</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>28.070</td>\n",
       "      <td>27.570</td>\n",
       "      <td>28.180</td>\n",
       "      <td>28.180</td>\n",
       "      <td>27.150</td>\n",
       "      <td>1.421167e+10</td>\n",
       "      <td>1.128337e+08</td>\n",
       "      <td>0.0080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578733</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>27.570</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.400</td>\n",
       "      <td>27.940</td>\n",
       "      <td>27.310</td>\n",
       "      <td>1.408796e+10</td>\n",
       "      <td>1.264233e+08</td>\n",
       "      <td>0.0089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578734</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.800</td>\n",
       "      <td>27.600</td>\n",
       "      <td>28.580</td>\n",
       "      <td>27.600</td>\n",
       "      <td>1.433023e+10</td>\n",
       "      <td>1.743296e+08</td>\n",
       "      <td>0.0121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578735</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>27.800</td>\n",
       "      <td>29.400</td>\n",
       "      <td>27.710</td>\n",
       "      <td>29.650</td>\n",
       "      <td>27.710</td>\n",
       "      <td>1.515499e+10</td>\n",
       "      <td>2.526946e+08</td>\n",
       "      <td>0.0170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578736</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>29.400</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.400</td>\n",
       "      <td>29.880</td>\n",
       "      <td>28.660</td>\n",
       "      <td>1.487664e+10</td>\n",
       "      <td>2.443983e+08</td>\n",
       "      <td>0.0163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578737</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.800</td>\n",
       "      <td>28.730</td>\n",
       "      <td>29.990</td>\n",
       "      <td>28.610</td>\n",
       "      <td>1.536118e+10</td>\n",
       "      <td>1.925252e+08</td>\n",
       "      <td>0.0127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578738</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>29.800</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.550</td>\n",
       "      <td>30.880</td>\n",
       "      <td>29.550</td>\n",
       "      <td>1.560861e+10</td>\n",
       "      <td>1.963816e+08</td>\n",
       "      <td>0.0125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578739</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.610</td>\n",
       "      <td>30.160</td>\n",
       "      <td>30.490</td>\n",
       "      <td>29.490</td>\n",
       "      <td>1.526324e+10</td>\n",
       "      <td>1.148845e+08</td>\n",
       "      <td>0.0075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12026765 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "109       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "110       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "111       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "112       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "113       000001.XSHE 2007-06-26       1113.904    1113.904      0.000   \n",
       "114       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "115       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "116       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "...               ...        ...            ...         ...        ...   \n",
       "12578732  689009.XSHG 2024-04-10         28.070      27.570     28.180   \n",
       "12578733  689009.XSHG 2024-04-11         27.570      27.330     27.400   \n",
       "12578734  689009.XSHG 2024-04-12         27.330      27.800     27.600   \n",
       "12578735  689009.XSHG 2024-04-15         27.800      29.400     27.710   \n",
       "12578736  689009.XSHG 2024-04-16         29.400      28.860     29.400   \n",
       "12578737  689009.XSHG 2024-04-17         28.860      29.800     28.730   \n",
       "12578738  689009.XSHG 2024-04-18         29.800      30.280     29.550   \n",
       "12578739  689009.XSHG 2024-04-19         30.280      29.610     30.160   \n",
       "\n",
       "          highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "109           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "110           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "111           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "112           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "113              0.000        0.000    5.456661e+10   0.000000e+00   \n",
       "114           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "115           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "116            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "...                ...          ...             ...            ...   \n",
       "12578732        28.180       27.150    1.421167e+10   1.128337e+08   \n",
       "12578733        27.940       27.310    1.408796e+10   1.264233e+08   \n",
       "12578734        28.580       27.600    1.433023e+10   1.743296e+08   \n",
       "12578735        29.650       27.710    1.515499e+10   2.526946e+08   \n",
       "12578736        29.880       28.660    1.487664e+10   2.443983e+08   \n",
       "12578737        29.990       28.610    1.536118e+10   1.925252e+08   \n",
       "12578738        30.880       29.550    1.560861e+10   1.963816e+08   \n",
       "12578739        30.490       29.490    1.526324e+10   1.148845e+08   \n",
       "\n",
       "          turnoverRate  \n",
       "109             0.0840  \n",
       "110             0.0440  \n",
       "111             0.0510  \n",
       "112             0.0426  \n",
       "113             0.0000  \n",
       "114             0.0489  \n",
       "115             0.0336  \n",
       "116             0.0316  \n",
       "...                ...  \n",
       "12578732        0.0080  \n",
       "12578733        0.0089  \n",
       "12578734        0.0121  \n",
       "12578735        0.0170  \n",
       "12578736        0.0163  \n",
       "12578737        0.0127  \n",
       "12578738        0.0125  \n",
       "12578739        0.0075  \n",
       "\n",
       "[12026765 rows x 10 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['EMA'] = stk_df.groupby('secID')['closePrice'].apply(ta.EMA, 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df.drop(stk_df.loc[stk_df['openPrice']==0].index, inplace=True) # drop 停牌但有收盘价的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>preClosePrice</th>\n",
       "      <th>closePrice</th>\n",
       "      <th>openPrice</th>\n",
       "      <th>highestPrice</th>\n",
       "      <th>lowestPrice</th>\n",
       "      <th>negMarketValue</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>turnoverRate</th>\n",
       "      <th>EMA</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [secID, tradeDate, preClosePrice, closePrice, openPrice, highestPrice, lowestPrice, negMarketValue, turnoverValue, turnoverRate, EMA]\n",
       "Index: []"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df.loc[stk_df['openPrice']==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['open_ret'] = stk_df.groupby('secID')['openPrice'].apply(lambda x: x / x.shift() - 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['close_ret'] = stk_df['closePrice']/stk_df['preClosePrice'] - 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['signal'] = 0\n",
    "stk_df.loc[stk_df['closePrice'] > stk_df['EMA'], 'signal'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>preClosePrice</th>\n",
       "      <th>closePrice</th>\n",
       "      <th>openPrice</th>\n",
       "      <th>highestPrice</th>\n",
       "      <th>lowestPrice</th>\n",
       "      <th>negMarketValue</th>\n",
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       "      <th>EMA</th>\n",
       "      <th>open_ret</th>\n",
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       "      <th>109</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-20</td>\n",
       "      <td>824.193</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1044.285</td>\n",
       "      <td>1053.778</td>\n",
       "      <td>970.235</td>\n",
       "      <td>4.835036e+10</td>\n",
       "      <td>4.182345e+09</td>\n",
       "      <td>0.0840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.197544</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-21</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1026.564</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>988.906</td>\n",
       "      <td>5.318694e+10</td>\n",
       "      <td>2.285485e+09</td>\n",
       "      <td>0.0440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.016970</td>\n",
       "      <td>0.100033</td>\n",
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       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-22</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1126.562</td>\n",
       "      <td>1132.891</td>\n",
       "      <td>1069.601</td>\n",
       "      <td>5.487665e+10</td>\n",
       "      <td>2.761567e+09</td>\n",
       "      <td>0.0510</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.097410</td>\n",
       "      <td>0.031769</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-25</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1139.536</td>\n",
       "      <td>1157.574</td>\n",
       "      <td>1087.005</td>\n",
       "      <td>5.456661e+10</td>\n",
       "      <td>2.324186e+09</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011516</td>\n",
       "      <td>-0.005650</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-27</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>1069.284</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>4.994705e+10</td>\n",
       "      <td>2.446556e+09</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.120245</td>\n",
       "      <td>-0.084659</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-28</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>953.780</td>\n",
       "      <td>996.817</td>\n",
       "      <td>1024.348</td>\n",
       "      <td>950.299</td>\n",
       "      <td>4.672266e+10</td>\n",
       "      <td>1.617434e+09</td>\n",
       "      <td>0.0336</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.005682</td>\n",
       "      <td>-0.064557</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-29</td>\n",
       "      <td>953.780</td>\n",
       "      <td>870.870</td>\n",
       "      <td>943.021</td>\n",
       "      <td>948.717</td>\n",
       "      <td>861.377</td>\n",
       "      <td>4.266117e+10</td>\n",
       "      <td>1.410758e+09</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.053968</td>\n",
       "      <td>-0.086928</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-07-02</td>\n",
       "      <td>870.870</td>\n",
       "      <td>867.073</td>\n",
       "      <td>848.402</td>\n",
       "      <td>881.629</td>\n",
       "      <td>840.807</td>\n",
       "      <td>4.247515e+10</td>\n",
       "      <td>8.756147e+08</td>\n",
       "      <td>0.0209</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.100336</td>\n",
       "      <td>-0.004360</td>\n",
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       "      <td>2024-04-11</td>\n",
       "      <td>27.570</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.400</td>\n",
       "      <td>27.940</td>\n",
       "      <td>27.310</td>\n",
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       "    <tr>\n",
       "      <th>12578734</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.800</td>\n",
       "      <td>27.600</td>\n",
       "      <td>28.580</td>\n",
       "      <td>27.600</td>\n",
       "      <td>1.433023e+10</td>\n",
       "      <td>1.743296e+08</td>\n",
       "      <td>0.0121</td>\n",
       "      <td>29.495464</td>\n",
       "      <td>0.007299</td>\n",
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       "    <tr>\n",
       "      <th>12578735</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>27.800</td>\n",
       "      <td>29.400</td>\n",
       "      <td>27.710</td>\n",
       "      <td>29.650</td>\n",
       "      <td>27.710</td>\n",
       "      <td>1.515499e+10</td>\n",
       "      <td>2.526946e+08</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>29.486372</td>\n",
       "      <td>0.003986</td>\n",
       "      <td>0.057554</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>12578736</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>29.400</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.400</td>\n",
       "      <td>29.880</td>\n",
       "      <td>28.660</td>\n",
       "      <td>1.487664e+10</td>\n",
       "      <td>2.443983e+08</td>\n",
       "      <td>0.0163</td>\n",
       "      <td>29.426717</td>\n",
       "      <td>0.060989</td>\n",
       "      <td>-0.018367</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>12578737</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.800</td>\n",
       "      <td>28.730</td>\n",
       "      <td>29.990</td>\n",
       "      <td>28.610</td>\n",
       "      <td>1.536118e+10</td>\n",
       "      <td>1.925252e+08</td>\n",
       "      <td>0.0127</td>\n",
       "      <td>29.462268</td>\n",
       "      <td>-0.022789</td>\n",
       "      <td>0.032571</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>12578738</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>29.800</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.550</td>\n",
       "      <td>30.880</td>\n",
       "      <td>29.550</td>\n",
       "      <td>1.560861e+10</td>\n",
       "      <td>1.963816e+08</td>\n",
       "      <td>0.0125</td>\n",
       "      <td>29.540147</td>\n",
       "      <td>0.028542</td>\n",
       "      <td>0.016107</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>12578739</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.610</td>\n",
       "      <td>30.160</td>\n",
       "      <td>30.490</td>\n",
       "      <td>29.490</td>\n",
       "      <td>1.526324e+10</td>\n",
       "      <td>1.148845e+08</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>29.546800</td>\n",
       "      <td>0.020643</td>\n",
       "      <td>-0.022127</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11647115 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "109       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "110       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "111       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "112       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "114       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "115       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "116       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "117       000001.XSHE 2007-07-02        870.870     867.073    848.402   \n",
       "...               ...        ...            ...         ...        ...   \n",
       "12578732  689009.XSHG 2024-04-10         28.070      27.570     28.180   \n",
       "12578733  689009.XSHG 2024-04-11         27.570      27.330     27.400   \n",
       "12578734  689009.XSHG 2024-04-12         27.330      27.800     27.600   \n",
       "12578735  689009.XSHG 2024-04-15         27.800      29.400     27.710   \n",
       "12578736  689009.XSHG 2024-04-16         29.400      28.860     29.400   \n",
       "12578737  689009.XSHG 2024-04-17         28.860      29.800     28.730   \n",
       "12578738  689009.XSHG 2024-04-18         29.800      30.280     29.550   \n",
       "12578739  689009.XSHG 2024-04-19         30.280      29.610     30.160   \n",
       "\n",
       "          highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "109           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "110           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "111           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "112           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "114           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "115           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "116            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "117            881.629      840.807    4.247515e+10   8.756147e+08   \n",
       "...                ...          ...             ...            ...   \n",
       "12578732        28.180       27.150    1.421167e+10   1.128337e+08   \n",
       "12578733        27.940       27.310    1.408796e+10   1.264233e+08   \n",
       "12578734        28.580       27.600    1.433023e+10   1.743296e+08   \n",
       "12578735        29.650       27.710    1.515499e+10   2.526946e+08   \n",
       "12578736        29.880       28.660    1.487664e+10   2.443983e+08   \n",
       "12578737        29.990       28.610    1.536118e+10   1.925252e+08   \n",
       "12578738        30.880       29.550    1.560861e+10   1.963816e+08   \n",
       "12578739        30.490       29.490    1.526324e+10   1.148845e+08   \n",
       "\n",
       "          turnoverRate        EMA  open_ret  close_ret  signal  \n",
       "109             0.0840        NaN       NaN   0.197544       0  \n",
       "110             0.0440        NaN -0.016970   0.100033       0  \n",
       "111             0.0510        NaN  0.097410   0.031769       0  \n",
       "112             0.0426        NaN  0.011516  -0.005650       0  \n",
       "114             0.0489        NaN -0.120245  -0.084659       0  \n",
       "115             0.0336        NaN -0.005682  -0.064557       0  \n",
       "116             0.0316        NaN -0.053968  -0.086928       0  \n",
       "117             0.0209        NaN -0.100336  -0.004360       0  \n",
       "...                ...        ...       ...        ...     ...  \n",
       "12578732        0.0080  29.920663  0.026594  -0.017813       0  \n",
       "12578733        0.0089  29.673933 -0.027679  -0.008705       0  \n",
       "12578734        0.0121  29.495464  0.007299   0.017197       0  \n",
       "12578735        0.0170  29.486372  0.003986   0.057554       0  \n",
       "12578736        0.0163  29.426717  0.060989  -0.018367       0  \n",
       "12578737        0.0127  29.462268 -0.022789   0.032571       1  \n",
       "12578738        0.0125  29.540147  0.028542   0.016107       1  \n",
       "12578739        0.0075  29.546800  0.020643  -0.022127       1  \n",
       "\n",
       "[11647115 rows x 14 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 45.1 s, sys: 1.19 s, total: 46.3 s\n",
      "Wall time: 46.2 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "rule_ret_df = stk_df.groupby('secID').apply(rule_return)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.drop('level_1',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "                secID  tradeDate  position_open_ret_demean  open_cumret\n",
       "0         000001.XSHE 2007-06-20                       NaN          NaN\n",
       "1         000001.XSHE 2007-06-21                       NaN          NaN\n",
       "2         000001.XSHE 2007-06-22                  0.000000     1.000000\n",
       "3         000001.XSHE 2007-06-25                  0.000000     1.000000\n",
       "4         000001.XSHE 2007-06-27                 -0.000000     1.000000\n",
       "5         000001.XSHE 2007-06-28                 -0.000000     1.000000\n",
       "6         000001.XSHE 2007-06-29                 -0.000000     1.000000\n",
       "7         000001.XSHE 2007-07-02                 -0.000000     1.000000\n",
       "...               ...        ...                       ...          ...\n",
       "11647107  689009.XSHG 2024-04-10                  0.000000     0.744692\n",
       "11647108  689009.XSHG 2024-04-11                 -0.000000     0.744692\n",
       "11647109  689009.XSHG 2024-04-12                  0.000000     0.744692\n",
       "11647110  689009.XSHG 2024-04-15                  0.000000     0.744692\n",
       "11647111  689009.XSHG 2024-04-16                  0.000000     0.744692\n",
       "11647112  689009.XSHG 2024-04-17                 -0.000000     0.744692\n",
       "11647113  689009.XSHG 2024-04-18                  0.000000     0.744692\n",
       "11647114  689009.XSHG 2024-04-19                  0.020053     0.760065\n",
       "\n",
       "[11647115 rows x 4 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### Cross-sectional test of cumulative return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_cumret_by_crs = rule_ret_df.groupby('secID')['open_cumret'].last()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    5299.000000\n",
       "mean        1.868915\n",
       "std         3.024204\n",
       "min         0.047341\n",
       "25%         0.590588\n",
       "50%         0.918365\n",
       "75%         1.883555\n",
       "max        48.810226\n",
       "Name: open_cumret, dtype: float64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a73c0b90>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rule_cumret_by_crs.hist(bins=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rule_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ret_mean</th>\n",
       "      <td>0.868915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>20.917230</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_cumret\n",
       "ret_mean     0.868915\n",
       "t_values    20.917230"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs.dropna(inplace=True)\n",
    "y = rule_cumret_by_crs.values\n",
    "const = np.full(shape=len(y),fill_value=1)\n",
    "reg = sm.OLS(y-const, const).fit().get_robustcov_results(cov_type='HC0')\n",
    "mean_values = reg.params[0]\n",
    "t_values = reg.tvalues[0]\n",
    "pd.DataFrame([mean_values,t_values],index=['ret_mean','t_values'],columns=['rule_cumret'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             Test for Constraints                             \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "c0             1.8689      0.042     20.915      0.000       1.787       1.950\n",
      "==============================================================================\n"
     ]
    }
   ],
   "source": [
    "rule_cumret_by_crs.dropna(inplace=True)\n",
    "y = rule_cumret_by_crs.values\n",
    "const = np.full(shape=len(y),fill_value=1)\n",
    "reg = sm.OLS(y, const).fit()\n",
    "print(reg.t_test('const = 1'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "平均年化收益："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.048083759133757065"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # 1.12/(2022-2007+1)\n",
    "# 2.12**(1/(2022-2007+1)) - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.037470247331664375"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1.8689**(1/(2023-2007+1)) - 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这个统计检验不够好：\n",
    "- 累积收益率可能在区间最后一段短时间内冲高\n",
    "- 累积收益率右侧可以无限大，左侧有界(0)。日收益率原则上也是这样，但没有累积收益率这么严重"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### Cross-sectional test of mean daily return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000001.XSHE    0.000124\n",
       "000002.XSHE    0.000011\n",
       "000004.XSHE   -0.000072\n",
       "000005.XSHE    0.000357\n",
       "000006.XSHE    0.000327\n",
       "000007.XSHE    0.000228\n",
       "000008.XSHE    0.000462\n",
       "000009.XSHE    0.000250\n",
       "                 ...   \n",
       "688789.XSHG   -0.001377\n",
       "688793.XSHG   -0.000856\n",
       "688798.XSHG    0.000238\n",
       "688799.XSHG    0.000143\n",
       "688800.XSHG   -0.000342\n",
       "688819.XSHG    0.000444\n",
       "688981.XSHG   -0.000167\n",
       "689009.XSHG   -0.000264\n",
       "Name: position_open_ret_demean, Length: 5299, dtype: float64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# time-series mean of daily return\n",
    "rule_tsmean_ret_by_crs = rule_ret_df.groupby('secID')['position_open_ret_demean'].mean()\n",
    "rule_tsmean_ret_by_crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>preClosePrice</th>\n",
       "      <th>closePrice</th>\n",
       "      <th>openPrice</th>\n",
       "      <th>highestPrice</th>\n",
       "      <th>lowestPrice</th>\n",
       "      <th>negMarketValue</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>turnoverRate</th>\n",
       "      <th>EMA</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12377258</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-01-17</td>\n",
       "      <td>8.240</td>\n",
       "      <td>35.300</td>\n",
       "      <td>30.530</td>\n",
       "      <td>36.500</td>\n",
       "      <td>28.750</td>\n",
       "      <td>1.348640e+09</td>\n",
       "      <td>921926523.0</td>\n",
       "      <td>0.7820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.283981</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12377259</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-01-20</td>\n",
       "      <td>35.300</td>\n",
       "      <td>42.850</td>\n",
       "      <td>32.500</td>\n",
       "      <td>48.440</td>\n",
       "      <td>31.990</td>\n",
       "      <td>1.637089e+09</td>\n",
       "      <td>940436017.0</td>\n",
       "      <td>0.6350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.064527</td>\n",
       "      <td>0.213881</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12377260</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-01-21</td>\n",
       "      <td>42.850</td>\n",
       "      <td>49.400</td>\n",
       "      <td>44.000</td>\n",
       "      <td>51.000</td>\n",
       "      <td>43.100</td>\n",
       "      <td>1.887332e+09</td>\n",
       "      <td>882266139.0</td>\n",
       "      <td>0.4825</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.353846</td>\n",
       "      <td>0.152859</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12377261</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>49.400</td>\n",
       "      <td>43.150</td>\n",
       "      <td>49.990</td>\n",
       "      <td>49.990</td>\n",
       "      <td>40.010</td>\n",
       "      <td>1.648550e+09</td>\n",
       "      <td>529235944.0</td>\n",
       "      <td>0.3078</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.136136</td>\n",
       "      <td>-0.126518</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12377262</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>43.150</td>\n",
       "      <td>42.160</td>\n",
       "      <td>44.990</td>\n",
       "      <td>47.080</td>\n",
       "      <td>40.030</td>\n",
       "      <td>1.610727e+09</td>\n",
       "      <td>361365562.0</td>\n",
       "      <td>0.2164</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.100020</td>\n",
       "      <td>-0.022943</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12377263</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>42.160</td>\n",
       "      <td>49.080</td>\n",
       "      <td>36.300</td>\n",
       "      <td>49.940</td>\n",
       "      <td>36.300</td>\n",
       "      <td>1.875106e+09</td>\n",
       "      <td>661125746.0</td>\n",
       "      <td>0.3911</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.193154</td>\n",
       "      <td>0.164137</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12377264</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>49.080</td>\n",
       "      <td>47.800</td>\n",
       "      <td>45.010</td>\n",
       "      <td>52.990</td>\n",
       "      <td>42.000</td>\n",
       "      <td>1.826204e+09</td>\n",
       "      <td>662493998.0</td>\n",
       "      <td>0.3622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.239945</td>\n",
       "      <td>-0.026080</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12377265</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2020-02-05</td>\n",
       "      <td>47.800</td>\n",
       "      <td>49.230</td>\n",
       "      <td>46.530</td>\n",
       "      <td>51.290</td>\n",
       "      <td>46.030</td>\n",
       "      <td>1.880837e+09</td>\n",
       "      <td>568072949.0</td>\n",
       "      <td>0.3047</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.033770</td>\n",
       "      <td>0.029916</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378280</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>65.935</td>\n",
       "      <td>63.033</td>\n",
       "      <td>65.743</td>\n",
       "      <td>65.905</td>\n",
       "      <td>62.578</td>\n",
       "      <td>2.535584e+10</td>\n",
       "      <td>163892259.0</td>\n",
       "      <td>0.0064</td>\n",
       "      <td>64.397075</td>\n",
       "      <td>0.031910</td>\n",
       "      <td>-0.044013</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378281</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>63.033</td>\n",
       "      <td>62.921</td>\n",
       "      <td>62.851</td>\n",
       "      <td>64.701</td>\n",
       "      <td>62.699</td>\n",
       "      <td>2.531110e+10</td>\n",
       "      <td>109468379.0</td>\n",
       "      <td>0.0043</td>\n",
       "      <td>64.256496</td>\n",
       "      <td>-0.043989</td>\n",
       "      <td>-0.001777</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378282</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>62.921</td>\n",
       "      <td>63.912</td>\n",
       "      <td>62.921</td>\n",
       "      <td>64.479</td>\n",
       "      <td>62.719</td>\n",
       "      <td>2.570976e+10</td>\n",
       "      <td>73770662.0</td>\n",
       "      <td>0.0029</td>\n",
       "      <td>64.223687</td>\n",
       "      <td>0.001114</td>\n",
       "      <td>0.015750</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378283</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>63.912</td>\n",
       "      <td>66.946</td>\n",
       "      <td>63.862</td>\n",
       "      <td>67.007</td>\n",
       "      <td>63.710</td>\n",
       "      <td>2.693016e+10</td>\n",
       "      <td>196344901.0</td>\n",
       "      <td>0.0074</td>\n",
       "      <td>64.482955</td>\n",
       "      <td>0.014955</td>\n",
       "      <td>0.047472</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378284</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>66.946</td>\n",
       "      <td>66.228</td>\n",
       "      <td>66.420</td>\n",
       "      <td>67.634</td>\n",
       "      <td>66.056</td>\n",
       "      <td>2.664133e+10</td>\n",
       "      <td>141812740.0</td>\n",
       "      <td>0.0053</td>\n",
       "      <td>64.649150</td>\n",
       "      <td>0.040055</td>\n",
       "      <td>-0.010725</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378285</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>66.228</td>\n",
       "      <td>66.107</td>\n",
       "      <td>66.309</td>\n",
       "      <td>66.572</td>\n",
       "      <td>65.227</td>\n",
       "      <td>2.659252e+10</td>\n",
       "      <td>106789841.0</td>\n",
       "      <td>0.0040</td>\n",
       "      <td>64.787992</td>\n",
       "      <td>-0.001671</td>\n",
       "      <td>-0.001827</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378286</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>66.107</td>\n",
       "      <td>67.098</td>\n",
       "      <td>65.834</td>\n",
       "      <td>67.957</td>\n",
       "      <td>65.237</td>\n",
       "      <td>2.699118e+10</td>\n",
       "      <td>118441954.0</td>\n",
       "      <td>0.0044</td>\n",
       "      <td>65.007993</td>\n",
       "      <td>-0.007163</td>\n",
       "      <td>0.014991</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12378287</th>\n",
       "      <td>688278.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>67.098</td>\n",
       "      <td>63.376</td>\n",
       "      <td>66.744</td>\n",
       "      <td>67.007</td>\n",
       "      <td>63.376</td>\n",
       "      <td>2.549416e+10</td>\n",
       "      <td>169090196.0</td>\n",
       "      <td>0.0065</td>\n",
       "      <td>64.852565</td>\n",
       "      <td>0.013823</td>\n",
       "      <td>-0.055471</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1030 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "12377258  688278.XSHG 2020-01-17          8.240      35.300     30.530   \n",
       "12377259  688278.XSHG 2020-01-20         35.300      42.850     32.500   \n",
       "12377260  688278.XSHG 2020-01-21         42.850      49.400     44.000   \n",
       "12377261  688278.XSHG 2020-01-22         49.400      43.150     49.990   \n",
       "12377262  688278.XSHG 2020-01-23         43.150      42.160     44.990   \n",
       "12377263  688278.XSHG 2020-02-03         42.160      49.080     36.300   \n",
       "12377264  688278.XSHG 2020-02-04         49.080      47.800     45.010   \n",
       "12377265  688278.XSHG 2020-02-05         47.800      49.230     46.530   \n",
       "...               ...        ...            ...         ...        ...   \n",
       "12378280  688278.XSHG 2024-04-10         65.935      63.033     65.743   \n",
       "12378281  688278.XSHG 2024-04-11         63.033      62.921     62.851   \n",
       "12378282  688278.XSHG 2024-04-12         62.921      63.912     62.921   \n",
       "12378283  688278.XSHG 2024-04-15         63.912      66.946     63.862   \n",
       "12378284  688278.XSHG 2024-04-16         66.946      66.228     66.420   \n",
       "12378285  688278.XSHG 2024-04-17         66.228      66.107     66.309   \n",
       "12378286  688278.XSHG 2024-04-18         66.107      67.098     65.834   \n",
       "12378287  688278.XSHG 2024-04-19         67.098      63.376     66.744   \n",
       "\n",
       "          highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "12377258        36.500       28.750    1.348640e+09    921926523.0   \n",
       "12377259        48.440       31.990    1.637089e+09    940436017.0   \n",
       "12377260        51.000       43.100    1.887332e+09    882266139.0   \n",
       "12377261        49.990       40.010    1.648550e+09    529235944.0   \n",
       "12377262        47.080       40.030    1.610727e+09    361365562.0   \n",
       "12377263        49.940       36.300    1.875106e+09    661125746.0   \n",
       "12377264        52.990       42.000    1.826204e+09    662493998.0   \n",
       "12377265        51.290       46.030    1.880837e+09    568072949.0   \n",
       "...                ...          ...             ...            ...   \n",
       "12378280        65.905       62.578    2.535584e+10    163892259.0   \n",
       "12378281        64.701       62.699    2.531110e+10    109468379.0   \n",
       "12378282        64.479       62.719    2.570976e+10     73770662.0   \n",
       "12378283        67.007       63.710    2.693016e+10    196344901.0   \n",
       "12378284        67.634       66.056    2.664133e+10    141812740.0   \n",
       "12378285        66.572       65.227    2.659252e+10    106789841.0   \n",
       "12378286        67.957       65.237    2.699118e+10    118441954.0   \n",
       "12378287        67.007       63.376    2.549416e+10    169090196.0   \n",
       "\n",
       "          turnoverRate        EMA  open_ret  close_ret  signal  \n",
       "12377258        0.7820        NaN       NaN   3.283981       0  \n",
       "12377259        0.6350        NaN  0.064527   0.213881       0  \n",
       "12377260        0.4825        NaN  0.353846   0.152859       0  \n",
       "12377261        0.3078        NaN  0.136136  -0.126518       0  \n",
       "12377262        0.2164        NaN -0.100020  -0.022943       0  \n",
       "12377263        0.3911        NaN -0.193154   0.164137       0  \n",
       "12377264        0.3622        NaN  0.239945  -0.026080       0  \n",
       "12377265        0.3047        NaN  0.033770   0.029916       0  \n",
       "...                ...        ...       ...        ...     ...  \n",
       "12378280        0.0064  64.397075  0.031910  -0.044013       0  \n",
       "12378281        0.0043  64.256496 -0.043989  -0.001777       0  \n",
       "12378282        0.0029  64.223687  0.001114   0.015750       0  \n",
       "12378283        0.0074  64.482955  0.014955   0.047472       1  \n",
       "12378284        0.0053  64.649150  0.040055  -0.010725       1  \n",
       "12378285        0.0040  64.787992 -0.001671  -0.001827       1  \n",
       "12378286        0.0044  65.007993 -0.007163   0.014991       1  \n",
       "12378287        0.0065  64.852565  0.013823  -0.055471       0  \n",
       "\n",
       "[1030 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.0005565524286638859"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = stk_df[stk_df['secID']==np.random.choice(stk_df['secID'].unique(),1)[0]].copy()\n",
    "temp['signal'] = 0\n",
    "temp.loc[temp['closePrice'] > temp['EMA'], 'signal'] = 1\n",
    "display(temp)\n",
    "rule_return(temp)['position_open_ret_demean'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.0008695310486886148"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_tsmean_ret_by_crs['002976.XSHE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_tsmean_ret_by_crs.dropna(inplace=True)\n",
    "y = rule_tsmean_ret_by_crs.values\n",
    "const = np.full(shape=len(y),fill_value=1)\n",
    "reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HC0')\n",
    "mean_values = reg.params[0]\n",
    "t_values = reg.tvalues[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rule_daily_ret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ret_mean</th>\n",
       "      <td>-0.000110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>-14.007997</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_daily_ret\n",
       "ret_mean       -0.000110\n",
       "t_values      -14.007997"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame([mean_values,t_values],index=['ret_mean','t_values'],columns=['rule_daily_ret'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "## Time series test. Bootstrapping: White's Reality Check"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "- 原始index return去掉均值的目的：过滤掉牛市或者熊市时，随机策略的正或负的收益的偏误\n",
    "- position return 去掉均值的目的：bootstrap 的原假设是：策略期望收益是0。以此生成抽样分布。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>openIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>EMA</th>\n",
       "      <th>signal</th>\n",
       "      <th>position_close</th>\n",
       "      <th>position_open</th>\n",
       "      <th>position_close_ret</th>\n",
       "      <th>position_open_ret</th>\n",
       "      <th>position_close_ret_demean</th>\n",
       "      <th>position_open_ret_demean</th>\n",
       "      <th>EMA_close_cumret</th>\n",
       "      <th>EMA_open_cumret</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tradeDate</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-01-04</th>\n",
       "      <td>2073.2500</td>\n",
       "      <td>2067.0900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-05</th>\n",
       "      <td>2051.1500</td>\n",
       "      <td>2072.8800</td>\n",
       "      <td>-0.010660</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-08</th>\n",
       "      <td>2072.0000</td>\n",
       "      <td>2131.5600</td>\n",
       "      <td>0.010165</td>\n",
       "      <td>0.028308</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-09</th>\n",
       "      <td>2137.4900</td>\n",
       "      <td>2200.0900</td>\n",
       "      <td>0.031607</td>\n",
       "      <td>0.032150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-10</th>\n",
       "      <td>2210.7600</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>0.034279</td>\n",
       "      <td>0.025399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-11</th>\n",
       "      <td>2257.0100</td>\n",
       "      <td>2231.6300</td>\n",
       "      <td>0.020920</td>\n",
       "      <td>-0.010789</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-12</th>\n",
       "      <td>2215.8600</td>\n",
       "      <td>2173.7500</td>\n",
       "      <td>-0.018232</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-15</th>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.3400</td>\n",
       "      <td>-0.020272</td>\n",
       "      <td>0.052255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-10</th>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>3538.776923</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-11</th>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>3535.488139</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-12</th>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>3529.807260</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-15</th>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>3531.642368</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.542806</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-16</th>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>3529.687343</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.504912</td>\n",
       "      <td>2.471160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-17</th>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>3533.088834</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>3.504912</td>\n",
       "      <td>2.454213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-18</th>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>3536.585307</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.509237</td>\n",
       "      <td>2.454213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-19</th>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>3537.068792</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>3.481574</td>\n",
       "      <td>2.454249</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4204 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            openIndex  closeIndex  open_ret  close_ret          EMA  signal  \\\n",
       "tradeDate                                                                     \n",
       "2007-01-04  2073.2500   2067.0900       NaN   0.012758          NaN       0   \n",
       "2007-01-05  2051.1500   2072.8800 -0.010660   0.002801          NaN       0   \n",
       "2007-01-08  2072.0000   2131.5600  0.010165   0.028308          NaN       0   \n",
       "2007-01-09  2137.4900   2200.0900  0.031607   0.032150          NaN       0   \n",
       "2007-01-10  2210.7600   2255.9700  0.034279   0.025399          NaN       0   \n",
       "2007-01-11  2257.0100   2231.6300  0.020920  -0.010789          NaN       0   \n",
       "2007-01-12  2215.8600   2173.7500 -0.018232  -0.025936          NaN       0   \n",
       "2007-01-15  2170.9400   2287.3400 -0.020272   0.052255          NaN       0   \n",
       "...               ...         ...       ...        ...          ...     ...   \n",
       "2024-04-10  3528.9679   3504.7086 -0.001250  -0.008145  3538.776923       0   \n",
       "2024-04-11  3485.0294   3504.2447 -0.012451  -0.000132  3535.488139       0   \n",
       "2024-04-12  3505.7499   3475.8389  0.005946  -0.008106  3529.807260       0   \n",
       "2024-04-15  3473.5047   3549.0759 -0.009198   0.021070  3531.642368       1   \n",
       "2024-04-16  3533.3636   3511.1146  0.017233  -0.010696  3529.687343       0   \n",
       "2024-04-17  3509.1318   3565.4030 -0.006858   0.015462  3533.088834       1   \n",
       "2024-04-18  3550.5562   3569.8018  0.011805   0.001234  3536.585307       1   \n",
       "2024-04-19  3550.6087   3541.6619  0.000015  -0.007883  3537.068792       1   \n",
       "\n",
       "            position_close  position_open  position_close_ret  \\\n",
       "tradeDate                                                       \n",
       "2007-01-04               0            NaN                 NaN   \n",
       "2007-01-05               0            0.0            0.000000   \n",
       "2007-01-08               0            0.0            0.000000   \n",
       "2007-01-09               0            0.0            0.000000   \n",
       "2007-01-10               0            0.0            0.000000   \n",
       "2007-01-11               0            0.0           -0.000000   \n",
       "2007-01-12               0            0.0           -0.000000   \n",
       "2007-01-15               0            0.0            0.000000   \n",
       "...                    ...            ...                 ...   \n",
       "2024-04-10               0            0.0           -0.000000   \n",
       "2024-04-11               0            0.0           -0.000000   \n",
       "2024-04-12               0            0.0           -0.000000   \n",
       "2024-04-15               1            0.0            0.000000   \n",
       "2024-04-16               0            1.0           -0.010696   \n",
       "2024-04-17               1            0.0            0.000000   \n",
       "2024-04-18               1            1.0            0.001234   \n",
       "2024-04-19               1            1.0           -0.007883   \n",
       "\n",
       "            position_open_ret  position_close_ret_demean  \\\n",
       "tradeDate                                                  \n",
       "2007-01-04                NaN                        NaN   \n",
       "2007-01-05                NaN                   0.000000   \n",
       "2007-01-08           0.000000                   0.000000   \n",
       "2007-01-09           0.000000                   0.000000   \n",
       "2007-01-10           0.000000                   0.000000   \n",
       "2007-01-11           0.000000                  -0.000000   \n",
       "2007-01-12          -0.000000                  -0.000000   \n",
       "2007-01-15          -0.000000                   0.000000   \n",
       "...                       ...                        ...   \n",
       "2024-04-10          -0.000000                  -0.000000   \n",
       "2024-04-11          -0.000000                  -0.000000   \n",
       "2024-04-12           0.000000                  -0.000000   \n",
       "2024-04-15          -0.000000                   0.000000   \n",
       "2024-04-16           0.000000                  -0.010963   \n",
       "2024-04-17          -0.006858                   0.000000   \n",
       "2024-04-18           0.000000                   0.000967   \n",
       "2024-04-19           0.000015                  -0.008150   \n",
       "\n",
       "            position_open_ret_demean  EMA_close_cumret  EMA_open_cumret  \n",
       "tradeDate                                                                \n",
       "2007-01-04                       NaN               NaN              NaN  \n",
       "2007-01-05                       NaN          1.000000              NaN  \n",
       "2007-01-08                  0.000000          1.000000         1.000000  \n",
       "2007-01-09                  0.000000          1.000000         1.000000  \n",
       "2007-01-10                  0.000000          1.000000         1.000000  \n",
       "2007-01-11                  0.000000          1.000000         1.000000  \n",
       "2007-01-12                 -0.000000          1.000000         1.000000  \n",
       "2007-01-15                 -0.000000          1.000000         1.000000  \n",
       "...                              ...               ...              ...  \n",
       "2024-04-10                 -0.000000          3.542806         2.471160  \n",
       "2024-04-11                 -0.000000          3.542806         2.471160  \n",
       "2024-04-12                  0.000000          3.542806         2.471160  \n",
       "2024-04-15                 -0.000000          3.542806         2.471160  \n",
       "2024-04-16                  0.000000          3.504912         2.471160  \n",
       "2024-04-17                 -0.007145          3.504912         2.454213  \n",
       "2024-04-18                  0.000000          3.509237         2.454213  \n",
       "2024-04-19                 -0.000272          3.481574         2.454249  \n",
       "\n",
       "[4204 rows x 14 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "EMA_ret_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series = EMA_ret_df['position_open_ret_demean'].dropna() # position_open_ret_demean: (raw return demeaned)*position\n",
    "rule_ret_series_for_bootstrap = rule_ret_series - rule_ret_series.mean() # demean here: H0: the average of the rule's return is zero\n",
    "n_sample = rule_ret_series.shape[0]\n",
    "n_boostrap = 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4202"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00013157427473675618"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_mean_distr = []\n",
    "for i in range(n_boostrap):\n",
    "    rule_ret_mean_distr.append(np.random.choice(rule_ret_series_for_bootstrap, n_sample).mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a79f81d0>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rule_ret_mean_distr = pd.Series(rule_ret_mean_distr)\n",
    "rule_ret_mean_distr.hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "231"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(rule_ret_mean_distr > rule_ret_series.mean()).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.231"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(rule_ret_mean_distr > rule_ret_series.mean()).sum() / n_boostrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00013157427473675618"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(rule_ret_series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "def white_reality_test(rule_ret, n_boostrap=1000):\n",
    "    n_sample = len(rule_ret)\n",
    "    if n_sample < 100:\n",
    "        return None\n",
    "    else:\n",
    "        mean_rule_ret = np.mean(rule_ret)\n",
    "        rule_ret_for_bootstrap = rule_ret - mean_rule_ret\n",
    "        rule_ret_mean_distr = []\n",
    "        for i in range(n_boostrap):\n",
    "            rule_ret_mean_distr.append(np.random.choice(rule_ret_for_bootstrap, n_sample).mean())\n",
    "        rule_ret_mean_distr = pd.Series(rule_ret_mean_distr)\n",
    "        pvalue = (rule_ret_mean_distr > mean_rule_ret).sum() / n_boostrap\n",
    "        return pvalue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.219"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The p value of the rule's return series\n",
    "white_reality_test(rule_ret_series)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "#### Test another stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "one_stk_id = np.random.choice(rule_ret_df['secID'].unique(),1)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series = rule_ret_df.loc[rule_ret_df['secID'] == one_stk_id,'position_open_ret_demean']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a732a7d0>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rule_ret_series.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.281"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "white_reality_test(rule_ret_series)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "#### Test 300 stocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_id_300 = np.random.choice(rule_ret_df['secID'].unique(),300,replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp = rule_ret_df.loc[rule_ret_df['secID'].isin(stk_id_300)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>position_open_ret_demean</th>\n",
       "      <th>open_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25651</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-22</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25652</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-23</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25653</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25654</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25655</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-28</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25656</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-29</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25657</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-30</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25658</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-31</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608388</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.928323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608389</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>-0.053522</td>\n",
       "      <td>0.879799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608390</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.879799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608391</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.879799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608392</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>-0.083012</td>\n",
       "      <td>0.807865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608393</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.807865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608394</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.807865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11608395</th>\n",
       "      <td>688661.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.799426</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>689231 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  position_open_ret_demean  open_cumret\n",
       "25651     000010.XSHE 2013-10-22                  0.000000     1.000000\n",
       "25652     000010.XSHE 2013-10-23                  0.000000     1.000000\n",
       "25653     000010.XSHE 2013-10-24                 -0.000000     1.000000\n",
       "25654     000010.XSHE 2013-10-25                  0.000000     1.000000\n",
       "25655     000010.XSHE 2013-10-28                 -0.000000     1.000000\n",
       "25656     000010.XSHE 2013-10-29                 -0.000000     1.000000\n",
       "25657     000010.XSHE 2013-10-30                 -0.000000     1.000000\n",
       "25658     000010.XSHE 2013-10-31                  0.000000     1.000000\n",
       "...               ...        ...                       ...          ...\n",
       "11608388  688661.XSHG 2024-04-10                  0.000000     0.928323\n",
       "11608389  688661.XSHG 2024-04-11                 -0.053522     0.879799\n",
       "11608390  688661.XSHG 2024-04-12                  0.000000     0.879799\n",
       "11608391  688661.XSHG 2024-04-15                 -0.000000     0.879799\n",
       "11608392  688661.XSHG 2024-04-16                 -0.083012     0.807865\n",
       "11608393  688661.XSHG 2024-04-17                 -0.000000     0.807865\n",
       "11608394  688661.XSHG 2024-04-18                  0.000000     0.807865\n",
       "11608395  688661.XSHG 2024-04-19                 -0.011697     0.799426\n",
       "\n",
       "[689231 rows x 4 columns]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 36.4 s, sys: 0 ns, total: 36.4 s\n",
      "Wall time: 36.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "stk_white_p = temp.groupby('secID')['position_open_ret_demean'].apply(white_reality_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000010.XSHE    0.559\n",
       "000040.XSHE    0.113\n",
       "000046.XSHE    0.124\n",
       "000070.XSHE    0.373\n",
       "000400.XSHE    0.669\n",
       "000418.XSHE    0.416\n",
       "000567.XSHE    0.434\n",
       "000581.XSHE    0.577\n",
       "               ...  \n",
       "688556.XSHG    0.325\n",
       "688603.XSHG    0.356\n",
       "688626.XSHG    0.434\n",
       "688636.XSHG    0.228\n",
       "688648.XSHG    0.627\n",
       "688655.XSHG    0.209\n",
       "688657.XSHG    0.749\n",
       "688661.XSHG    0.588\n",
       "Name: position_open_ret_demean, Length: 300, dtype: float64"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    298.000000\n",
       "mean       0.529829\n",
       "std        0.247319\n",
       "min        0.007000\n",
       "25%        0.333000\n",
       "50%        0.522500\n",
       "75%        0.729000\n",
       "max        0.998000\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a71678d0>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stk_white_p.hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000673.XSHE    0.022\n",
       "000800.XSHE    0.066\n",
       "002246.XSHE    0.071\n",
       "002509.XSHE    0.078\n",
       "002604.XSHE    0.027\n",
       "002647.XSHE    0.071\n",
       "600146.XSHG    0.007\n",
       "600991.XSHG    0.044\n",
       "603555.XSHG    0.039\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.loc[stk_white_p < 0.10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "good_EMA_stks = stk_white_p.loc[stk_white_p < 0.10].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a7167110>"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rule_ret_df.loc[rule_ret_df['secID']=='300104.XSHE',['tradeDate','open_cumret']].set_index('tradeDate').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.loc[rule_ret_df['secID'].isin(good_EMA_stks[0:5])].set_index('tradeDate',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp2 = rule_ret_df.loc[rule_ret_df['secID'].isin(good_EMA_stks)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a63bc090>"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp2.pivot(index='tradeDate',columns='secID',values='open_cumret').plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "# MACD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "Moving Average Convergence Divergence (MACD)\n",
    "\n",
    "$$MACD = EMA_{\\text{fast period}} - EMA_{\\text{slow period}}$$\n",
    "\n",
    "$$E M A_t(\\text{Value})= \\left(\\text { Value }_t *\\left(\\frac{\\text { Smoothing }}{1+\\text { Days }}\\right)\\right) + E M A_{t-1} *\\left(1-\\left(\\frac{\\text { Smoothing }}{1+\\text { Days }}\\right)\\right)$$\n",
    "\n",
    "$Smoothing = 2$, $\\text{fast period} = 12$, $\\text{slow period} = 26$. 第一个$EMA$用简单平均。比如，计算$EMA_{\\text{12 period}}$，那么就等有12个观测值之后，取简单平均得到$EMA_1$，然后$EMA_2$用上述公式计算。\n",
    "\n",
    "按照级数展开可发现，越靠近当前的价格，权重越大。Smoothing越大，越靠近当前价格的权重越大。\n",
    "\n",
    "得到 MACD 以后，再计算 MACD 的 Signal，\n",
    "\n",
    "$$Signal = EMA_{\\text{9 period}}(MACD) $$\n",
    "\n",
    "判断标准：当 MACD 上穿 Signal 时，处于上升趋势。当 MACD 下穿 Signal 时，处于下降趋势。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MACD_df = hs300_df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "fastperiod = 12  \n",
    "slowperiod = 26  \n",
    "signalperiod = 9 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>indexID</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>highestIndex</th>\n",
       "      <th>lowestIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>turnoverVol</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret_demean</th>\n",
       "      <th>open_ret_demean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-04</td>\n",
       "      <td>2073.2500</td>\n",
       "      <td>2139.4900</td>\n",
       "      <td>2054.2400</td>\n",
       "      <td>2067.0900</td>\n",
       "      <td>10671970700</td>\n",
       "      <td>8.238107e+10</td>\n",
       "      <td>0.012758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012491</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-05</td>\n",
       "      <td>2051.1500</td>\n",
       "      <td>2083.4000</td>\n",
       "      <td>2030.7600</td>\n",
       "      <td>2072.8800</td>\n",
       "      <td>9274344700</td>\n",
       "      <td>6.802606e+10</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>-0.010660</td>\n",
       "      <td>0.002534</td>\n",
       "      <td>-0.010946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>2072.0000</td>\n",
       "      <td>2131.7400</td>\n",
       "      <td>2071.7200</td>\n",
       "      <td>2131.5600</td>\n",
       "      <td>8476790900</td>\n",
       "      <td>6.630394e+10</td>\n",
       "      <td>0.028308</td>\n",
       "      <td>0.010165</td>\n",
       "      <td>0.028041</td>\n",
       "      <td>0.009878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-09</td>\n",
       "      <td>2137.4900</td>\n",
       "      <td>2201.3600</td>\n",
       "      <td>2128.0600</td>\n",
       "      <td>2200.0900</td>\n",
       "      <td>8157762900</td>\n",
       "      <td>6.545619e+10</td>\n",
       "      <td>0.032150</td>\n",
       "      <td>0.031607</td>\n",
       "      <td>0.031883</td>\n",
       "      <td>0.031320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-10</td>\n",
       "      <td>2210.7600</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>2194.7700</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>8490497900</td>\n",
       "      <td>6.882262e+10</td>\n",
       "      <td>0.025399</td>\n",
       "      <td>0.034279</td>\n",
       "      <td>0.025132</td>\n",
       "      <td>0.033992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-11</td>\n",
       "      <td>2257.0100</td>\n",
       "      <td>2289.9500</td>\n",
       "      <td>2224.3700</td>\n",
       "      <td>2231.6300</td>\n",
       "      <td>8627654800</td>\n",
       "      <td>6.873001e+10</td>\n",
       "      <td>-0.010789</td>\n",
       "      <td>0.020920</td>\n",
       "      <td>-0.011056</td>\n",
       "      <td>0.020634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-12</td>\n",
       "      <td>2215.8600</td>\n",
       "      <td>2249.5400</td>\n",
       "      <td>2159.7700</td>\n",
       "      <td>2173.7500</td>\n",
       "      <td>7652572000</td>\n",
       "      <td>6.174283e+10</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>-0.018232</td>\n",
       "      <td>-0.026203</td>\n",
       "      <td>-0.018519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2007-01-15</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.6800</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.3400</td>\n",
       "      <td>6640309700</td>\n",
       "      <td>5.704345e+10</td>\n",
       "      <td>0.052255</td>\n",
       "      <td>-0.020272</td>\n",
       "      <td>0.051988</td>\n",
       "      <td>-0.020559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3531.2295</td>\n",
       "      <td>3490.0525</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>12879027400</td>\n",
       "      <td>1.997548e+11</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008412</td>\n",
       "      <td>-0.001537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3520.5893</td>\n",
       "      <td>3484.9252</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>12653439500</td>\n",
       "      <td>2.002935e+11</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>-0.012738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4198</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3516.6988</td>\n",
       "      <td>3470.0611</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>12892111600</td>\n",
       "      <td>2.085662e+11</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008373</td>\n",
       "      <td>0.005659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4199</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3552.4125</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>18394125000</td>\n",
       "      <td>2.674725e+11</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.020803</td>\n",
       "      <td>-0.009485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3545.5034</td>\n",
       "      <td>3503.6158</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>17615306500</td>\n",
       "      <td>2.533160e+11</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.016946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4201</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.9389</td>\n",
       "      <td>3498.0324</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>16846639800</td>\n",
       "      <td>2.449878e+11</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015195</td>\n",
       "      <td>-0.007145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4202</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3602.7902</td>\n",
       "      <td>3547.5996</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>17857410500</td>\n",
       "      <td>2.613299e+11</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.011518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4203</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3560.9492</td>\n",
       "      <td>3529.3237</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>14728150500</td>\n",
       "      <td>2.262295e+11</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4204 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "0     000300.ZICN        沪深300  2007-01-04  2073.2500     2139.4900   \n",
       "1     000300.ZICN        沪深300  2007-01-05  2051.1500     2083.4000   \n",
       "2     000300.ZICN        沪深300  2007-01-08  2072.0000     2131.7400   \n",
       "3     000300.ZICN        沪深300  2007-01-09  2137.4900     2201.3600   \n",
       "4     000300.ZICN        沪深300  2007-01-10  2210.7600     2255.9700   \n",
       "5     000300.ZICN        沪深300  2007-01-11  2257.0100     2289.9500   \n",
       "6     000300.ZICN        沪深300  2007-01-12  2215.8600     2249.5400   \n",
       "7     000300.ZICN        沪深300  2007-01-15  2170.9400     2287.6800   \n",
       "...           ...          ...         ...        ...           ...   \n",
       "4196  000300.ZICN        沪深300  2024-04-10  3528.9679     3531.2295   \n",
       "4197  000300.ZICN        沪深300  2024-04-11  3485.0294     3520.5893   \n",
       "4198  000300.ZICN        沪深300  2024-04-12  3505.7499     3516.6988   \n",
       "4199  000300.ZICN        沪深300  2024-04-15  3473.5047     3552.4125   \n",
       "4200  000300.ZICN        沪深300  2024-04-16  3533.3636     3545.5034   \n",
       "4201  000300.ZICN        沪深300  2024-04-17  3509.1318     3565.9389   \n",
       "4202  000300.ZICN        沪深300  2024-04-18  3550.5562     3602.7902   \n",
       "4203  000300.ZICN        沪深300  2024-04-19  3550.6087     3560.9492   \n",
       "\n",
       "      lowestIndex  closeIndex  turnoverVol  turnoverValue  close_ret  \\\n",
       "0       2054.2400   2067.0900  10671970700   8.238107e+10   0.012758   \n",
       "1       2030.7600   2072.8800   9274344700   6.802606e+10   0.002801   \n",
       "2       2071.7200   2131.5600   8476790900   6.630394e+10   0.028308   \n",
       "3       2128.0600   2200.0900   8157762900   6.545619e+10   0.032150   \n",
       "4       2194.7700   2255.9700   8490497900   6.882262e+10   0.025399   \n",
       "5       2224.3700   2231.6300   8627654800   6.873001e+10  -0.010789   \n",
       "6       2159.7700   2173.7500   7652572000   6.174283e+10  -0.025936   \n",
       "7       2170.9400   2287.3400   6640309700   5.704345e+10   0.052255   \n",
       "...           ...         ...          ...            ...        ...   \n",
       "4196    3490.0525   3504.7086  12879027400   1.997548e+11  -0.008145   \n",
       "4197    3484.9252   3504.2447  12653439500   2.002935e+11  -0.000132   \n",
       "4198    3470.0611   3475.8389  12892111600   2.085662e+11  -0.008106   \n",
       "4199    3473.5047   3549.0759  18394125000   2.674725e+11   0.021070   \n",
       "4200    3503.6158   3511.1146  17615306500   2.533160e+11  -0.010696   \n",
       "4201    3498.0324   3565.4030  16846639800   2.449878e+11   0.015462   \n",
       "4202    3547.5996   3569.8018  17857410500   2.613299e+11   0.001234   \n",
       "4203    3529.3237   3541.6619  14728150500   2.262295e+11  -0.007883   \n",
       "\n",
       "      open_ret  close_ret_demean  open_ret_demean  \n",
       "0          NaN          0.012491              NaN  \n",
       "1    -0.010660          0.002534        -0.010946  \n",
       "2     0.010165          0.028041         0.009878  \n",
       "3     0.031607          0.031883         0.031320  \n",
       "4     0.034279          0.025132         0.033992  \n",
       "5     0.020920         -0.011056         0.020634  \n",
       "6    -0.018232         -0.026203        -0.018519  \n",
       "7    -0.020272          0.051988        -0.020559  \n",
       "...        ...               ...              ...  \n",
       "4196 -0.001250         -0.008412        -0.001537  \n",
       "4197 -0.012451         -0.000399        -0.012738  \n",
       "4198  0.005946         -0.008373         0.005659  \n",
       "4199 -0.009198          0.020803        -0.009485  \n",
       "4200  0.017233         -0.010963         0.016946  \n",
       "4201 -0.006858          0.015195        -0.007145  \n",
       "4202  0.011805          0.000967         0.011518  \n",
       "4203  0.000015         -0.008150        -0.000272  \n",
       "\n",
       "[4204 rows x 13 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MACD_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MACD_df['MACD'], MACD_df['MACD_signal'], _ = ta.MACD(MACD_df['closeIndex'], fastperiod=fastperiod, slowperiod=slowperiod, signalperiod=signalperiod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0963e82d0>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "MACD_df.loc[MACD_df['tradeDate']<='2007-12-31',['MACD','MACD_signal']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa09648bc50>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "MACD_df['signal'] = 0\n",
    "MACD_df.loc[MACD_df['MACD'] > MACD_df['MACD_signal'], 'signal'] = 1\n",
    "MACD_df['open_ret'] = MACD_df['openIndex']/MACD_df['openIndex'].shift()-1\n",
    "MACD_df['position_close'] = MACD_df['signal']\n",
    "MACD_df['position_open'] = MACD_df['signal'].shift()\n",
    "MACD_df.rename(columns={'CHGPct':'close_ret'},inplace=True)\n",
    "MACD_df['position_close_ret'] = MACD_df['position_close'].shift() * MACD_df['close_ret']\n",
    "MACD_df['position_open_ret'] = MACD_df['position_open'].shift() * MACD_df['open_ret']\n",
    "MACD_df['position_close_ret_demean'] = MACD_df['position_close'].shift() * MACD_df['close_ret_demean']\n",
    "MACD_df['position_open_ret_demean'] = MACD_df['position_open'].shift() * MACD_df['open_ret_demean']\n",
    "MACD_df['MACD_close_cumret'] = (MACD_df['position_close_ret']+1).cumprod()\n",
    "MACD_df['MACD_open_cumret'] = (MACD_df['position_open_ret']+1).cumprod()\n",
    "MACD_ret_df = MACD_df[['tradeDate','openIndex','closeIndex','open_ret','close_ret','MACD','MACD_signal',\n",
    "                        'signal','position_close','position_open','position_close_ret','position_open_ret',\n",
    "                       'position_close_ret_demean','position_open_ret_demean',\n",
    "                        'MACD_close_cumret','MACD_open_cumret']].copy()\n",
    "MACD_ret_df.set_index('tradeDate',inplace=True)\n",
    "# open price cumret\n",
    "fig, axes = plt.subplots(3,1)\n",
    "MACD_ret_df[['MACD','MACD_signal']].plot(ax=axes[0], grid=True)\n",
    "MACD_ret_df[['openIndex']].plot(secondary_y=True,ax=axes[0],grid=True)\n",
    "MACD_ret_df[['position_open']].plot(ax=axes[1], grid=True)\n",
    "MACD_ret_df[['MACD_open_cumret']].plot(ax=axes[2], grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a7928ed0>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jLLTU72bsbqDVgI71O7Lo4iJam7empVnLGunXy2Rj8EaOxBxhqttUxjqPxUjbCA1Jg/r69R94nncDb1ZcWcGJuBP0s+/3lHorCILwcjh69CgAnp6eXL16FQBbW1sCAgIACAkJKVPfx8cHHx8fAFxcXErr3Ss3V8w2fNY81kixJEk2kiTtliTpuiRJxyVJspYkyU6SpAuSJIVLkjTznrpflpSdlyTJtqY6Lgj3k2WZb/2u8+m2K7jb1uXPdzzwn+LJwY8782pzc5YeDichM/+x2w9LyOK9jRexMtJhy8T2yLLM76ejavAOhAeJz8jnvzuCcGtUl1kDXHBtYIy7bT1GeTSinZ0JGupqSJJUemy672WyC4rLtDF3bwgRSTn8NKQlRtc2wJZRqgzTb+14pIBYKSuR5cpnHnSwV63BPR1RMlpcxxhGbQfNOvD7QEgK5WDUQRJyE5jRbgbb+m3DpI4J7+x/h7VBaxnuOJxdg3bx4SsfsrH3Rn7p/gsyMl+f/hpZlolIj+BwzGF62/Wu0YzD77u+T/dG3enWsBt97PoA0Mq8FbcybpFRkEF2YTYLAhbQ0qwlfe37ljlXkiTmdpqLha4FHx/9WEyjfgTFymJmn5nNnHNz6GLThVFOo5AkifEtxjPGZcxDz29u0hyzOmbsj9xfWpaen45SVj7gLEEQBEEQ/vW406cLgDmyLDsBW4GpwBfAbMAR6CdJkpMkSY2AgSVl3wJzq99lQajYooM3WHPyFmM62LJ+XDva2ZngUt8IB3MD/tvHmWKlzJw9IQ9vqMS/QU9+kYKdl28z+OdT6Csz2d78GM1+a8l1nXG8ebYvxbs/g6TQJ3VbAhB8J5PXV56mSCEzf2gr1NUqDwR1NNX5b18nsvKL2X7x7lrc7ZdiWXcqko9f0cDz4kfg/xHYdoK3/oY6davcF4VSwaSDkxixawSZhaqs0vnF+RQr7wbgTS30MdHTUq0r/lddW9VotFKBvNKL388vxNawEZ1sOmFrZMuGXhvwrO9J1wZd+U/b/9DAoAHjW4zHycSJ+vr1+djtY07dPsXSwKUsv7wcHXWdh06rfVTqauos8FrAIu9FpcF2S1PViO/V5KtsDt1MSn4Kn7f9HDWp/NeHkbYRC7wWkJyXzM+Xf67Rvr2oMgoymHxwMptDNzPaaTSLvRejqVb53tIVUZPUGOo4lGOxxzgUfYhTcafw3urNjnAxlV0QBEEQquKxpk/LspwEJJX8Ggm0AroAk2VZVkiS5F/yex6wp6RsD7Cs+l0WhPK2BsSw+NANhrrZ8FVfp7KjZ4W5NIzz59fGF7l2NYbdiSa0dWyIrKmLrr4xegZGoKUHWgagpcftHJkNRy4RdjOCBlrZGClSMVKm84d2NM7KG0gXi8GxN+nqlly/GojV+VVwfgX0XgBtajZIEeBCVCpvrD6LUR1Nfn+7Lbameg8+ITuR1rf/YonxSW4ctUFp0pWwxByC9h3B1zgEt+tnQV0LXpsFHu/BI26BsP76ek7dPoWapMZ7B9+jpVlLNodsplguxkrPiuWvLsfOyI5Gja9wOO0sCuWfd4N482YEDl3BqmMzuJp3h5n55qil3gITewy1DFnSbUml1x3uOJzg1GBWXlkJwDst36GeTs1M934QF1MX1CQ1AhMD8Y/wp61lW1xMXSqt72TixOAmg9kSuoURzUZga2T7xPv4PFkXtI7IzEjGuozlZvpN5gfM53bObb7t8C0Dmwx87HbHu4znSPQRvjn1DfkK1UOa4NRgBvL4bQqCIAjCy6Im1hQPBfyAPrIs/zs3NRGwBnKAZABZloslSVKXJEldlmVFDVxXEABIyMznW7/reNjV44dBLe4GxLIMgZvg8CzIuk0noL2mFhophXCq8vasgU8BNAEZUINibQPUzJoi2X8ILoPBwhlL4OuCC3wTFs4h+83o+H8EuSnQedoTvuOXy4IDYRjqaOI3xRNzA53KKyqK4chsOLkYSVbQU12Hvop82LScZsCX6qDUsELy/AjaTQIDi0fuS1haGEsuLaFbw270tuvNtGPTuJJ8hT52fbDSs2JN0Bq2hG7hU/dPSVbfg7JOAn5BwQxo6QRAZEYkY05Mw1DHkMn6Lgy5egCWe0CHKdDpE9XDmUpIksQXHl8QnxNPSGoIo51HP3L/H4eupi5NjJuwJXQLaQVpfPjKhw89Z5LrJPwj/Pnq1FeY6ZqRXZTN0KZD8bLxqnBboZdFYGIgCy4sQEZm241tANga2rL6tdW4WbhVq21NdU1mec7idf/XMatjhlkdM6Izo2ui24IgCILwwpMetC7uoSdLUi9U8YM3cFuWZauS8neB+kAWUCzL8sKS8ttAg/uDYkmS3gHeAdDQ0HA7cODAY/dJePksvZRPYJKCWR3rYKmnGvXTzk/CMXQJ9dIuk2nQlAi7UWQaOqJU1yYxu4jwlDz0pXwys3OJTstFTZGHsVoBFlr5WGgX0djcGC29uhRq1aVI0wjlPQmF7pWcp2TGiTxam8r8T+cXLBJPEOC2kGyDipMfZWdno6+v/8ReixdNZIaCr0/nM8xRk16NK/5/AKBZmIHztTkYZ1znjmVXYhoMJEOnPguORVOnKB0HI4muza3RMXr8zNKFykJ+jP+RHEUOn1t/joG6ARH5Eeiq62KpqUrotSZpDWH5YYw2Hc3yxOUAWGaOZmaLNgBsTtnM2eyzfGPzDYbqhmgVpGEXsQ7LhKPka5sS7vA2yabtH7ifsVJWUiAXUEft6SV425yymZPZJ9FT0+M7m+/QlMpP773/vb0vYx/+6f4YqhuijjppijTa6rVllOmop9bvZ0mRXMS8O/MoUBYwxWIKATkBGGsY01avLepSzT0oiCmMwUjdiG2p24gqjOLr+l/XWNsvK/G5LbzInvX3t5GREQ4O1UuSKtS+8PBwMjIyypR5e3vnyrL8kOl/T89jjxRLkuQAzAF6yLIsS5KUJUmSTslosTmq0eJ0oHlJfQ1ArmiUWJbllcBKAB0dHdnLy+txuyW8RIoVSn4+epOAhDCmvdaU17s2UR2IOApbpoGiCPosxNBtLK41mIzofnGaN1h4MIysyb9gsakjbTJ2Qd9tFdY9evQo4v1ddVP+uISBdiJfjPDGUKeSdZaZd2B9f8iJgkGrsGo5DKuSQ3qNkknKLqBfK+tqJ6T66tRXJBQlsKL7CtpbtwfAC68ydTTjNJl4cCJ/5fyFvqY+OUV5xBRF06z1+2hoZXPe9zwDmw6kX/t7MwQPhKjT6Oyehsu1uWDnDb1+VG0R9YzICM/g5MmTDGk2hO7u3Susc/97u7PcmUlZk7AxsEEpK5lxYgYn4k7QuUvnCtcjv8iUspJZZ2YRXxTPz6/+jGd9T4Yy9IleM/pSNIFXA+nYqSOa6o+2RlkoS3xuCy+yZ/39HRwcjIGBQW13Q6gmHR0dWrduXdvdeKDHzT5tAPwBjJZl+U5J8QGgtyRJ6kBf4GDJj09JWS/gREXtCUJVRafk8tHmS4xZe46ei08w/0AYvVpY8k5ne9V06XOr4PdBYGAFk/6BNuMeOOpWE0a2a4iaBDtDcqDTxxB+EG6Jt3p1xablsuvKbUZ6NKw8IM5KgLU9ITMO3twGLYeVOdzBwZT+rvWrFBCvuLyCz098TnhaeLljW0K38NeNvxjfYnxpQFwRDysPLHQtiM+Jx6exD3ZGDkjaMfxxLppNwZsoUhZVPO25UXt45xj0nAdxF2F5ezjwFRRkP7TfT4NnfU861e/EyOYjq3yOmqRGQ8OGqElqaKhp0N66PdlF2URmRD65jj6DMgszmfHPDLaGbWWcyzg863s+/KQa0MiwEUpZSUx2zFO5niAIgiA8zx73cf37gAOwVpKkQEmSTgFfA9OBG8BOWZZDZFmOB9YCocB3lCzVFIRHVaxQsvbkLXosOs7B4ERScwrR19Hg5zdeYfkbbmhRBH4fwO5p0KQ7vL0f6tXM/q0PY2agjYedCf5X7yC7TwDD+qp1zEK1/H0pDqUMozwaVVwhPxM2DobsBNV2R7aPH2ycilNldd59azeDdg6i/9/9Gbt3LL9c/oXfr//Od2e+o7NNZya7Tn5gO+pq6qX7xPa374+bRSu09eJYfCSIdUGb6FTfi0aGjTh4PYERK88wYuUZpm+9THpuIahrQLt3YUqAKrg/uQiWtVXtpVzLTOqYsPzV5VjrWz92G//uW3w1+WpNdeuZFp0ZzQj/EXj+4cmuCNX2Wh+98tFTu35Dw4al/RAEQRAenyRJzJ1bdgMdLy8v2rRpU6asbdu2rF+/vkxZbGwsr732Go6Ojjg6OrJt2zYiIyPR1dXF1dUVBwcHPvnkE4qKiqrcn08++YSkpKSHV6yCMWPG4O/vXyNtPe8eKyiWZfkHWZbryrLsWvLTQZblJFmWPWRZtpNledY9dZfKsuwgy3IrWZbFt7PwyC5Gp9FnyT9843edto3rsX9qZ3a+78n2yR3p2cJKNVr4W1+4uF6VrOj1TaBj+FT72LulFRFJOQQnF0PHDyHmDESffap9eNHsvHwbd9u62NTVLX9QqYStYyAxGIb9Dg3aPvZ1Mgsz+fLUl9gZ2bF/8H4mtZqEvbE9+cX5LAtcxrzz82hv1Z4FXgvQUHv4ipPxLcazpOsSXM1dcTF1QSHl4dryH4rkHPafak7Xn44yfn0AtzPyKFYq2XH5NsNXnCExqyRPob45DFgO4/artoraPAL+eqdGRo2VSpliRe3sXWtraIuept4zHxTLslzt/X1zi3L58MiHxGTHMNl1Mht7bWR8i/E1uqf0wzQyUD1MisoUe6kLgiBUR5MmTdi5c2fp78nJyWRnl/1Ojo6OJi0tDV9f39IyhUKBj48PU6dOJTQ0lKtXr/Laa68B4OTkRGBgIKGhoeTl5TFz5swq92f+/PmYmZlV866E+71cC7uE505AZCpvrDpLVn4xv7z5CuvGumNtfE+CofBDsNIL4q/CkLXQ7b9QC9ltfZwtUVeT2HX1NrR+UxXMnPrfU+/HiyIkPpOwhGz6tapkZPLsz3DzkGrtbZNXq3WtuefmkpKXwmzP2VjoWTDJdRILvBbwR58/2Dt4L7M6zmJx18Voq2tXqT1dTV28GngB0MK0BQA3Cw7gaNySiR5dsTTSYUavZhz8uAtbJ3Zg7Rh3olNz6b7gOKPXnOOPc9GqPbIbtoMJR6DLZ3B1K2wcAgVZj32fMam5dJ1/FIeZe3D5ah/7r8U/dluPQ11NHRcTlwcGxUpZSZGy6k/Ln4TVV1fTfWt3rqdcf6zzZVnmq1NfEZERwbzO85jYamLpKHlNSsoq4NrtjEqPG+sYY6RtJIJiQRCEarK2tkapVJKQkACAn58fffr0KVPH19eXcePGERQURFaW6rt6//79NG3alJ49ewKgpaVVbn20uro68+bNY8OGDSiV5R/Injt3jjZt2tCyZUsmTZoEqEapg4KCKCoqol+/fjg5qbYitba2Jisri1atWjFt2jScnZ3p1q0bBQUFAIwePbq0rYCAgJp9kV4ANbElkyA8EdduZzB27XmsjHT48932mBncE5QkhcL+L+BGyTTpkfvAqub/8KwqE31tOtibsPtqPNN7NAP38XD8J0gOB1ORNfFR7Qi8jbqaRK8WVuUPJgbDwW/AsRe4VW9f6EPRh9h5cyfvtny3wr136+vXp75D/cduv7FRY3Q1dMktzuW91uPxbuhYrk5HB1P+fNeD9aejCIxJ5/O/rrL/Wjzf9nehQT1d8P4czJrCtgmwYQi86Qvaj5Z0JDYtl9dXniG7oJgPujXBNyCG1Sdu8Zqz5WPf2+NoYdaCdUHryC/OR0ej/PZaCwIWcCDqADsH7qzyQ4iatvPmThLzEhm3bxxLui7B3dL9kc4PSAhgb+Re3nd9nw7WHWq8f7eSc/ho8yUux6oCYr/3PWlhY1Rh3UYGjcT0aUEQXhx7PlMNgtQkyxbQc85Dq/Xt2xc/Pz/Gjx+Pn58fM2bMKDPt2NfXl2XLlnHjxg38/PwYOXIkoaGhuLk9fLs9fX19DAwMSExMxNKy7Pfy+vXr+fTTTxk2bFi50en9+/djYGDA9evXGTlyJG+//TYGBgZkZGTQtm1bfvrpJwYOHMihQ4fo1asXK1asQEdHh+3bt7NixYpy079fdk7rcqsAACAASURBVGKkWKh1GXlFzN51vcyoR36RgimbLqGvo8GG8e3uBsSFOaoPxeXtIfoMdP8OJp+p1YD4Xx0dTLmVnENGbhG0fQfUteD00tru1nNHlmX8Lt/G08EUE33t+w/CzimgrQ99F1criVpqfirfnv6WZvWa8W7Ld6vZ64qpq6nT2qI1DsYOdGnQpdJ6LW2M+WloKw5M7cy3/Z05eTOFTvOOMGDZSS7HpKv2xh7yK8Sehw2DVeupq+ja7QyG/HyarPwiNrzdjo+9bfmsWSIpUVe5mfj4I8+Pw8XUhWK5mJDUkHLHbmffZmPIRm7n3Mbvpl+544m5iUw9MpWEnIQn1r/IjEgiMyN52+VtLHQtmHhgIkeijzxSG6uurMJEx4QxLmNqvH/puYW8ve480am5TO/hiIGOBj8fK58Y7l8NDRsSlSVGigVBEKprwIAB7Nixg5ycHHJzczE1NS09FhcXR1RUFK6urvTs2bN0CrUsy6irV232YnFxMWpq5cOyIUOG8M033/Dbb79Rp07ZrRjV1NTIy8sDID8/v3REGKBbt24A2Nvbk5SUhCzLzJw5ExcXFz799FPS0tIe7QWoBZIkaUqSlFOSvypQkqSBkiTZSZJ0QZKkcEmSZt5T98uSsvOSJNmWlFVYtzJipFioVRFJ2YxfH0BEUg7+V+7gP8UTE31tftoXSkRyDhvHt7s7XfrOFdj2NiTfALcx0PUL0DN9YPtPk6OlavQuNCGLto3NodXrELgJvGeCvlj7UVWnI1KITcvjk9ealj8YtE0VGPZfrlp7Ww1/hvxJWn4aK7uvfKJb1sztNBelrKzSNkSSJPFWe1u8Hc3xv3KH309HMnbdebZP7kAj54EgqYHvOFjfD4aug7q2FbajVMqcj0zl1M0UVp2IwKiOJtuGW9Lk8newYSv98tPppw05K7+H12ZCm7ehgi/jmtbS9G6yLVdz1zLHVl5ZiYSEraEtv137jUFNBpV5zVZfXc3B6IM4mTgxoeWEJ9K/47HHARjqOJTRzqOZfHAyU49OZaHXQrwbej/0/Gsp1zh95zRT3abW+Eh3sULJ5I0XiU3LY+OEdrjb1iO3sJjlR29yMykbe7Py+4w2NGyIf4Q/ecV51NGoQ7GymPSCdEx0TFDICm6k3aCBQQP0tWp2j9JCRSEaahov3dZbgiA8YVUY0X1SnJyciIqKYtu2baXrgv+1bds2MjMzady4MUqlktTUVHJycrC3t2fLli0PbTslJYWCggLMzcv/XePl5cXhw4f54osv2LdvH5s2bSo91qNHDxYsWEDz5s3x8PCgR48epce0te9+B8myzKFDhzh//jwBAQGcOHGCFStWPM7L8LSZAGdlWe76b4EkSWuA2cAO4JQkSduBHGAg4Ihqt6O5wHDgi/vryrJc6doo8Y0l1JrwxGyG/HKa9NwivhvgQkpOIRM3XODLv4P49eQtRnk0oqODqSqp0ullsLqbak3lWzug76JnKiAGcLS4GxQD0GEKKArh3Mpa7NXzZ/O5GAx1NOjpct/U6aI8OPg1WLaEViOqdQ1ZltkbuZdXLF7BsV75Kc01yUjbiLo6dR/pnAb1dJnkZc/GCR4oZZmxa8+TmV8ETv1VicVSbsLPnnDmF8gr+7S3SKHkwz8DGb7yNNsOn+KDemc5ar2cJn92gYu/qbKzD9/IOtNpXFPYqDK2r+sF+ZWvT60pZrpmNDBowMGogwDEZMXwxq43+ODwB/wd/jdDmw5lsutkIjMjWXVlFYsuLOJk3EmS85LZFqba+/tA1IEn1r/jscdxMHagvn596urUZXWP1dgY2LAxeONDz1UoFSwPXI6BlgHDmg57aP1H9b9DNzh1M4XvB7XA3bYeAGM7NkZLXY0Vx25WeI6toS2gep0Bll5aivcWb7y2eNFpcyeG+Q9j/oX5NdrP3KJc+v/dn58CfqrRdgVBEGpbjx49+OyzzxgwYECZcl9fX/bs2UNkZCTR0dH07t2bXbt20aNHD06dOsXp06dL6xYWFpY5Nz8/nylTpvDRRxXvTpCSkoKFhQWLFy/mzJkzZY4pFAqUSiXBwcGsXbv2gaPSWVlZ2Nvbo6Ojw+HDhx/11mtLPSD5vrIuwG5ZlhWAf8nv3sCekrI9QPsH1K2UCIqFWhGXnseoX8+iJklsm9SBUR6NmDXAhfORaWy7GIuPsyWf9WwG2YmwaSjsmwEOr8LEk2D3wPd0rbEy0sFAR4PQ+JKpraZNVOtez69STfsWHio1p5C9QfEMesUGHc37PtzPLIeMGOgxu9qjmjfSbxCREYGPrU+12nnSGpvqseJNNyKSc1h3MlJV2KwXTPwHrFrB3v/AT47waw/YPpG8HR9zctEo3gyeSKjeu/yj/SET0xegnRoKnlPho6sweDU070ODbu8wLO8zLrt9rxp93zYelIonfk9vNH+Di4kXuZR4iYUXFhKWFkZkZiRmumaMbzGe7o26U1+/PksDl/Jr0K9MOjiJDw5/QLFczJCmQwhODSYuO67a/VAoFcw7P49ZZ2ax+upqzsef50LCBbrY3P180dPUw7uBNxcTL5JXnIcsy5y9c7ZcdurMwkzeP/w+x2OPM6HFhBofeT0TkcLSI+EMfsWGIW42peWm+toMbWPD34G3yS0sLneeg7Eqn8G/ScNO3j6JnZEdXWy64NPYB8e6jlxOulyjff3t+m/EZsey/cZ28orzarRtQRCE2tS/f39MTEyws7u75Wd8fDyJiYl4et7dFnLs2LH4+vqira3Nzp07mTJlCo6Ojjg5OXHu3DkArl+/TsuWLXF2dsbW1papU6dWeM25c+fi4uJC27Zty2WolmWZiIgI6tevT7NmzVizZk2lfe/evTtBQUG0aNECXd0KdvV4NmkBnSRJuiJJ0l5JkuwAPVmWS7brIBGwBMwpCZ5lWS4G1CVJUq+kbqXE9GnhqcstLGbc2vNkFxTz5zvtaWyqB8CwNg1ob2eCpZEOmupqELYPdrynGh3uPV81xfMpbmnyqCRJwtHCgLD4exIhdPwAQnfBhd+g/YP3uK2MQimTkVeEcR3VFN+03EKM6miiof7iPdP662IshQolr7dtUPZAdiKcWACOvaFx52pfZ++tvahJarzaqHqZq5+GdnYmdG1mzrpTkbzT2U71sKBuIxjjD3cC4coWlLcvkx18CEVBHq2QKapnj7bDMLBwgfpuqgD6vn87Xo7mNKiny6y41mztOQ92fQyHvoHu3z7R+xnUZBArLq/g61NfE5ERwWTXyUxqNalMnaVdlxKXHUcLsxZ8deorjsYcpbddb8Y5j8M3zJeDUQcZ7Ty6Wv04c+cMv1//HT1NPXKK7j60un/tt4eVB+uureNS4iWyCrOYdmwasz1nl+5HrVAqmHxwMteSr/Glx5cMc6zZUeLcwmI+2XKZRiZ6fNPfudzxni5WbDgTzanwFF51sihzzN7Ynno69Th75yxdG3YlNDWUSa6TSl/vJZeWsPrq6tLp1Q8SnhaOSR2TB856SMxNZG3QWuyM7IjIiOBA1IHS10kQBOF5dfToUQA8PT25elWV6MvW1rY0g3NISNk8GT4+Pvj4qB66u7i4VJjpOTc3t0rXnjdvHvPmzauwPxMmTGDRokX079+f1NRUWrduzbhx44iMjCyt+9NPd2ftnD9/vlz769atq1I/nhANSZLufXFWyrJcOr1SluVASZKsZVmWJUkaDSwF5PvakCop4wHlFXem6v0WhOqTZZmZ24MIS8zit7FtcbIuu59wg3q6kJMMB/4LgRvB3BlG+4F581rq8aNxtDTA7/JtZFlW7UnaoB3YdoIT8+GVUY/V5ud/XWFLQCxa6mogQWGxkoGt67NwuOvDT36O5BQUs/50FK0bGtPM8r59po/MhuL8agVssizjH+GPvqY++yL34W7pjmmdZ2sKfmXe7WzH8JVn2HohllEeqv1nkSSwbk1sHUcmbbjI1cwMBrauz3ve9jiYPzw7tbqaxJgOjfnO/zpX+gymZZsgOLlY9X5t0v2J3UsdjTqMbD6SZYHLMKtjxmin8sGtQ10HHOqqRjkXei1kV8QuOtl0op5OPRzrOnIo+lBpUDzrzCzyi/OZ5TnrkfqxPXw7xtrGHBp6iNyiXE7EnSAhN4FWZq3K1Gtt3hoNNQ3O3DnD9WTViKtvmG9psLcheAOXky7zQ6cf6GPXp9x1qmvJ4XDi0vPYOrE9+trlv7Ldbeuhp6XO4dDEckGxmqSGu6U75+6cIzAxEBkZN/O7mVCdTZxRykpCU0PLrfG+l0KpYOy+sVjpWbGx18YK1+AXKgr57sx3FCuLWdp1KRMPTuSvG3+JoFgQBKGKzp49y7vv3k38aW1tze7duyutHxYWhq2tLQCpqano69fsLKWnoFiW5QemwJZl+d/AdgvwDZAlSZJOyQiwOaoR4HSgOYAkSRolpykkSaqobqVevKEm4ZmlVMosOniD7ZfimPpqUzo3vS/5VFYC7JsJi1rA5c3QaRq8c+S5CYhBFRRn5heTkFmSAVCS4NWvITcZzvz8yO3tvxbPloBY+rWyZqynLWM72NK7pRXbL8Vx7lZqjfa9NsmyzKe+V4hNy2X6a/et8U24DhfXg/uEam1vFZwazIx/ZvDBkQ+Izoqmh22Ph5/0jGjbuB6uDYxZdTyCwuK7U3dD4jMZsOwkkck5rH6rDQuHu1YpIP7XsDY26GtrsPZkJPT4Acyd4O/JqgdTT9CIZiOwNbRluvt0dDUfPI1LQ02D/g79qaejWkf7aqNXCUwMJDE3kQJFATtv7sQ/wp/U/Kr/e8goyOBw9GH62PVBS10LYx1j+tr3ZXyL8eWSQ+lq6uJq5squiF2cjT+Ljb4NlxIvEZ4WTmRGJEsuLcG7gTe9G/d+9BfiIcITs1l9IoLBr9iUriO+n5aGGp5NTDkSksjdvx3uamfVjsS8RHzDfNFQ06CFWYvSY04mToAqQdgD+5EeTnpBOsGpwSwJXFLueHp+OhMPTuRozFGmuk2lgWEDBjYZyIWEC4SnVZ4dWxAEQbirXbt2BAYGlv48KCAG+OKLL3jjjTdo3bo1b7zxBr/88stT6unTIUmSWck0aIBXgUDgANC7pLwvcLDkx6ekrBdwouSciupWSowUC09Fem4hU/64xIkbyQxwteZ973uCm+JC1bTN86tBUQQthkKnT1R7sz5n/k22FRKfiaVRyT6sNm2gWR84+T802yyvclupOYXM2H6V5laG/DS0FVoaqj/WcwuLuRiVxjd+19j5vifqas/ulPKH+ftSHCuOR6Crpc6FqDQ+69mMDg73jd4emwOaetDl02pdyz/CHw01DRZ7LyYuO47+9v2r1d7TJEkSH3Zrwth15/ny7yDmDG7B5dgMxq49h5aGGtvf64iD+aM/ITbQ0WRoGxt+Px3Fl32cqDdoFazyVm179fqmJ7ZcwUjbCL+B5bddqooetj1YFriMvbf2YmtkW7pu9UDkAYY3G16mrizLJOUlYa5bNqPnrohdFCmLGOBQNllKZTysPAhICEBdUmdx18W87v86iy8uJjg1GG11bb70+FI1M6QGybLM1zuvoaOpzue9mlVcKS8NDs9ibuJxjuaacvvkHep3fKPM/zcPSw8AjsQcwdXMtcw0aQtdC0x0TErXHFcmIEE1u83Lxot1Qeu4mnQVDTUNmtZtirqaOltDt1KgKGBOpzn0tlM9HOhn34+VV1by+q7XGegwkGnu02pt72lBEIQX0b/rhF9grYDFkiQVAGnABCAL8AN+BNbIshwCIEnSWiAUVSbqviXnf11R3cqIkWLhiVMqZT7cHMjZiFRmD3Rh4XBX1P4N5Iry4c83Vfv5ugyBKQEwaMVzGRDD3W2ZwhLu2/+165dQnIf9zbVVbmv+/lDSc4uYf09ATF4auueWstlyI+OS5nDmwNaa6vpTp1TKLDwYRmpOAXmFCsZ2tOXdznZlKyWGwPWd0O4d0K14pOx+xcryCYcUSgV7bu2hc/3OdLbpzIhmI9BS16qJ23hqvJuZM6WrA38GxDD0l9MMXH4SXS0Ntrzb/rEC4n8NcK1PsVLmxI0ksHRRzWwI3Q0X1tVU12tUY6PGOJk4sfvWbo7FHKOORh1sDW3ZE7mnXN1NIZvo4duDm+l3szPfzr7NxuCNNK/XvMqZxz2sVYGlVwMvmtZtyqsNX+Vo7FEAfu3xK2a6Nb/l2q6rd/gnPJnpPRwxvX+/boCY87DUHQLWoGtshodaMPUPvgfr+0Pa3b2JbQxssNazBuAVi1fKNCFJEk4mTlxPuU6hopD9kfspUhSVu9TFhItY6Vkxt/Ncetv1RkYmuzCbP0P/ZG3QWtpbt2dzn82lATGAua45W/psobddbzaHbsY3zLfK916oKCQwMbDK9QVBEIQXjyzLB2VZdpZl+RVZlrvJshwhy3KSLMsesizbybI86566S2VZdpBluZUsy9ElZRXWrYwIioUnbvnRcI6FJfFVPyfeaNfo7ohKYQ78MRxu7Ic+i2DAMqhn9+DGnnHGulpYGGoTem+yLQDzZtDxIywTDsPNh6fCv5GQxebzMbzp0Ui17rowB458DwtbwMGvaJhykm7ql+l4eoJquutzmN361M0UolJymdGrObs/7MRXfZ3Lj7b9swA064DHe1Vqc2PwRtpubMvcc3NJy7+7VdHZ+LMk5yXTx77m13w+TVNfbUrvllZcu53JxC727PrAk0YmetVqs0V9I+rpaXE0NElV0G4S2HmpMr4nP5tTX3s17sW1lGvsubWHDtYd6G3Xm4sJF4nPiS+tU6QsYt21dRTLxawJUmXkPBZzjCF+Q0jJT+Ejt4q3v6iIi4kLwx2Hlyaomug6kcFNBrOp9yaa1atkFLcasguK+c7/Os7WhrzRrlEFFRJVDxO19OCdo2i9vZsJJr/xs957cPsS/DECilVLOCRJop1VOwDcLNzKNeVs6kxERgRfnPyCT459wqaQTWWOy7LMhYQLuFm4oaupyw+dfmCdzzr+6PMHp0ee5vjw4yzwWkDTuuUfZNoa2fJNh29wMXFha+jWCqd3V2Rt0FpG7RlFaGpoleoLgiAIQnWJoFh4oo6FJbHgQBj9Xa0Z2bbh3QP5mbBhMNw6DgN/gTZja6+TNay5lSGXY9PLH+g8ndw69cHvw3J7y97vhz0h6Gqq80G3JhCyC5a0gWNzwaErTPwHaVooC1r8zQp5IPLlP+D3QarX9Dmy8WwUdXU18XGpJEN+yk24uhXajAM9kzKHFEqFKgvwmdnkFqkyOIakhjA/YD6WepZsCtnE4J2DScpVBXq7InZhoGlAZ5vqZ66uTWpqEkteb82l/3bnPz7NMNat/mi3mppE5yamHA9LQqmUVdtdDfgZ1LVg9yc10Oua52Prg4REVlEWXWy60LNxT2Rkfrv2W+lMgQORB4jPiad5vebsjtjN3lt7+fjox9jo27C1z1Y6WHeo8vXU1dT5wuOL0pFlOyM7vu7wdblp2TVBlmVm77pOQmYB3/Z3Kb88QqmAbW9DfjoM36DKLA4McmvI3JSO3OqyCBKvwbG72Up72/XGwdiBV8zLjhQDONVzQikr2XNrDwaaBqy7to4CRUHp8ajMKFLyU8qNMgNoqmlWaQ/uYY7DuJlxk0uJl6p0/34Rqqn1/hH+D60vCIIgCDVBBMXCExMSn8l7Gy/iaGnI9wNb3B0FzE1VTfGLPQ9D1kCr12u3ozWsUxMzwhOziUm9L92+pg4hzaZAVrxqJKeo/B6eCqXMj/tCOBySyBSvhtQ78RVsHqkKCsftg2HrwVKVKKdT8wb8UDCUUM/FEBcAvw94aLD9rEjMzOfA9QSGuNmgrVHJZvP/LAQ1TQrbvcvFhItl9ob9K/wv9kXuY3PoZob4DeH7s9/zydFPMNY2ZmOvjWzqvYnsomymH5/OltAt+Ef407NxzxdiTaOamlR+D+dq6uJoRkpOIUG3M1QFhtbQeTpEHIVbJx54bm2w0LPA3dIdCYnONp1pZNiInrY92RC8gWH+w/gj5A/WXVuHraEti70XgwTTj0/HXNecld1X0sCwwcMvUktWHI/gj3MxTOxij1ujCgLOM8tVDxN7zy/9LAAY4maDnpY6S2MdwPUN1b+f26opyO2s2rG9//YK9092MXVBTVLDy8aL+V7zSc5LZvuN7aXHLyZeBCoeZa6qHrY9MNA0YEvYlofWDUoOIiozCj1NPfwj/CtcDiEIgiAINU0ExcITkZiZz7i159HTVmfNmDbo/buVSHYS/NYXEoJg+EZwHli7HX0CujVTjR4dDimf+T3TqDkMXAHRZ2DzG5ARV3osI6+I0WvOsfpIMLObhDHh8nDVH8DtJsL4Q9DQo0xbHexN0FJXwzevDQz7HeKvql7bJ5w5uCb4XoylWCkz4t7ZA/dKj4HLf6B85S0+C1zE6L2jGb1nNJcSL5GSl8Lii4txs3BjbY+16Gro4h/hT3ZRNj90+oG6OnVxNnHmS48vuZBwge/OfEcH6w5Mc5/2dG/yOdKpiWpN7LF/p1ADuL8NBlZw+Duo4rTXp2mq21RmtpuJSR3VLIK5neeywGsBRYoivj/7PcGpwYxyGoWVvhWDHAZhoGnAkq5LMNYxruWeV+5YWBJz9oTQp6UVn/aoYL1z6i04PBsce6kC33sY6Ggy6BUb/K7cJtXza9XU6nMry7dxHzNdMzb12sSPXX7Ew8qDVmatWBO0pjSB2enbp6mnU4/Gho0f+750NXXpa9+X/ZH7CUsLe2Bd/wh/tNS0+I/7f0jOS+bsnbOPfV1BEIRn2Zw5c9DR0eHtt9+u8jlt2rQpsw/xo5o7d26FWaoTEhKYPn16pecdPXqUIUOGlCsvKCjgwIEDAJw4cYIxY8Y8dt9qmwiKhRqXW1jM+PUBpOcV8etod6yMSrKdZt6Gdb1U02JH/gmOPrXb0SfE1lQPOzM9DlUQFAPgMgj6LoLIf2CJG2ybQM6O6ZxdOJwPo6dwXfcd3oj5GknbAN7aAT3ngkb5EU49bQ3a2dXjSGgiNOsFI/6A5BvwWz8oyK7gws8GWZb562IcbRrVxc6skgRRJxcBEitMzTgQdYC+dn2JzormrT1v0XVrV7ILs5nZbiZtLNvg28+XUyNOcWz4sdK1kwB97fsysdVERjQbwf+8/1cm665Qlqm+Ni1tjDgadk9QrFlHNVoccxZuHKi9zlXCxdSlTLZpSZLo3qg7OwfsZNfAXSzyWsTgJoMBmNFuBvuH7C/d+/hZJMsyCw6E0aBeHX4a2upuMsK7FcD/I1DTgF4/VZgZfHSHRhQWK9kclAnN+6mS1FUwI+V+zqbO6GjoIEkSH7T+gPiceGacmIF/hD97I/fS2653tbNrv93iberq1GXSgUncyb5TWn4j7UbpWvAiZRF7I/fi1cCL3na9MdAyYGPwRi4kXOBm+k2S85KrvC5ZEAThWffZZ59haWnJ4sWLn8r1cnJy+PXXXxk/fny5YxYWFvz444+P3Obhw4fZt28fAJ06dSIiIoIbN25Uu6+1oVpBsSRJ9SRJOiFJ0tclv9tJknRBkqRwSZJm3lPvy5Ky85Ik2Varx8IzTamUmfpnIEFxGfzv9da41DdSHUiPhrU9IfMOjPoL7LvWbkefsG7NzDlzM4Wcgkqm/rmNgffPQbNeyFEnkS6tp1XBRRzN9VBvOwFGboF3j6sSHj2At6M5N5NyiErJAYdXVYFxUjD4ffBMju4BXInNIDwxm8FuNhVXSI+Bi79zzaUPy0M20M++H7M9Z+M/0J85neYwrOkwZnrMpEndJg+91nuu7zGj3Qw01TVr+C5ePK82t+BCVBo3k+55oNJ6FBg3Uo0WK5WVn/wMkSSJhoYN6daoG+pqqmnm6mrqFU4dfpacDE/hckw6E7vYVzw9Pmibajr7q1+BUf0K23AwN8DJypDTN1OgxRAozFIlMnwEba3aMq3NNA5GH+TzE5/jZuHG1FemPsYdlWWua87Pr/5MXnEekw9NplBRSEJOAiN3jaTP9j7MOz+P4f7DSc1PZYDDALTUtehr15cTcScYs3cMA3YMwHuLN5MPTSan6PlLLCgIwvPr22+/xdXVFXd3d06dOgXAunXrGDNmDJ6enjg6OrJnj2oHhMTERHr27ImrqyvvvvsuAJGRkXTt2pU+ffrQpEkTPv204i0mW7VqxbRp03B2dqZbt24UFKjyO8yePRsnJyf69OlDfn5+af2vvvoKNzc3OnbsyM2bN4mNjaVZs2bk5eURGBiIu7s7ynu+u3fv3o23tzcaGhpERkbS7//snXdcVeX/wN/ncoHL3kOGgAwBkeGeiHubI0sbVmpW2vhVmtqyYWlp6bfSSjMrszRzm3vgFnCLuJAte2+4cM/vj4MoAk6Wet6vFy+4z/Oc5/mcew/nns/zWcOGMXLkSMaOHUtMTAzt2rUDICwsDH9/f5o1a4aOjk7leaSlpdGnTx9cXV357rvvyM7OZurUqfzxxx/0798fgJEjR7J69eq6fPsbjPuuUywIgjawDbi5QNaHwBfARuCIIAjrkepFjQBaIhVU/gqoWkxS5pFh7vaL7Difwqyh3vTxtpEaM65K1svSPMny6XD/sWkPCz09rVl6MJpDken0b1VLIikzZ3jyV1aHxjFj3TmWjmtH3+vv2V3S19uGz/+L4N8TCbzbr6W02dDrI6nus2NH6PjKg59MHbPuZAI6SgWDWjerecDuT0AQ2GDZDN1CXWZ0mIEgCBjpGDG4xeAqZV9k6o5nOjbnh32RLDsUzZcjKmJVlToQNBM2vAoXNkGru6vrK3PvLNoXibWRLk/WtFlUWgA7P5KSarUbf9t5/BxN2HouGdG5F4KBNZz9B7zvrSb3897Pk1KYQkhSCAuCFtTZppKHmQdzA+cyZc8Ulp1bRmJBIuViOT0cerAiYgWORo7M7zGf7g7dAZjafipPuD1Bdkk2uSW5XM25ytKzSxm/Yzw/9fnprpJ8ycjIPDp8FfoVFzNvW2r2nvE0qW0dFwAAIABJREFU92R6h+m19h87dowDBw5w8uRJrl27Rv/+/Tl//jwA4eHhHDt2jKSkJPr06cPAgQP59NNPee+99+jZsyejRo1iz549uLq6cvjwYa5evYq1tTVOTk58/PHHGBpW3azNycmhQ4cOzJ8/nxEjRrBnzx48PT1ZtWoVp0+fJjk5GTc3yeMpLCyMmJgYTpw4webNm/nkk09YsWIFL7zwAgsXLmT//v189913KBQ37J8nT56kbdsbz+A7duzgzJkzeHp6VnHJ/vrrr5k3bx6dOnUiICCAn3/+meDgYC5dusTly5dRq9X4+Pjw5ptvMm3aNMLDw5k/fz4guXd/8803D/y5NAb3rRSLoqgWBGEokqLrXNHcA5gsimK5IAhbKl4XAdsq2rYBix5QZpkmiCiKLDsUzZIDUbzQ2YmXulbEnyWdgZWjQVMGL2yBZr6NK2gD0d7ZHCOVku3hybUrxUBJWTnf743E39GUPl73nsnW0Vyf3p42/BUSx5SebpKFqdvbksvrrlnQciCY1hK32wiUlmnYdCaRft42mOjV8KAdHwrh/6LuPpXtiTsJcgzCSMeo4QV9DLE01GVkgD1rTyTwbl8PLK7XxvV9SkratO8L8BoKirpN8iUDYTGZHI3K4MPBXjUnnjv4DeQlwujf7vj++9ib8HdoPPHZpTT3GQXHl0FRNujdfSy1IAhMa197bNmDEOgQyEDngSw5t4RyTTnjvMcxtf1UUgpSMFeZV1HAtRXaeFt4Vzm+tWVr3tz7JisiVvBmmzfrRUYZGRmZ6xw7dox+/fqhUChwdHTEwMCApCQpBKRLly4olUocHR3R0tIiOzubw4cPc/DgQRQKBfn5+cTGxuLq6oqHhwcODtKmp729PRkZGdWUYoDevXsD4OrqSlpaGsXFxXTv3h0dHR2aN2+Oh4dU/u7w4cPs2bMHf39/ysvLsbOT6tG/++67tG3blrZt29K5c+cqc2dkZNChQ4fK1+7u7nh6Vi8rqFAoKCoqoqSkpIplun379hgbGwOgVlevaQ9gbW1Namot4YNNnPtWigFEUUy9Jc7IQBTF6+9eKmCHZClOrxhfJgiCliAIWqIolj/I2jJNh9xiNTPXneO/s0n087bhoyEVDzGXtsG/E0DPDMZtkmr1PiZoaykYGWDP36HxfDDYC0vDmrMe/xMWz7XsIuaMbH3fMXsvdXVm94UUNp9JZHQ7RynWcNB8+KE97PgAnl7xIKdSp2w/n0xWobpm12mNBrbPBENbjri0JzvhH4a0eLjrCj9sTOzuwqqweP44GsvbfSvqziq0oNcH8M84OLsa/J9pXCEfMURR5MutF7A20uWZjjVsYGVchSPfg+8YaN6xev8t+NpLyu+5azk0b/0khPwolXULePYORzYc73V4j0OJhxAQeNn3ZUDKKH43BDoE0samDcEJwbzZ5k0uZV7it/O/8VmXz+QwCRmZR5zbWXTrC0EQas1lcLNr8s1jduzYQbNmN7zhYmJi0NWt+hxY25w3j6tpzM3PilOmTGHmzJlV+ouKiigvLyctLe3WQ9HW1qa0tLTytUqlqlGGTz/9lB49emBnZ8e3335bo2y1UVxcjI7Og5eLbAweSCmugVs/PaGWtqoNgjAJmASgVCoJDg6uY7Fk6our2eX8dKaEjGKRJz20GeSYx6ED+3CO+Qen2NXkGbkS3uoDSiOSISK5scVtUDy1NJSWa/hy9X6GuUo3iPz8/MrrO7dU5KuDhbQ0U1B+LZzgxPtTikVRxN5Q4Psd4VjkRaKouGE2dxxJiwsrObNuIVnm/nVyTg+CKIosOFqMrb6AmHie4KSIKv2WyfvwuXaciy3f5NcTf2OgMKA8spzgq8GNI/BjShtrLX7cdwWbkgTsDCvcrkRj2hq6otw+i9BMK0RFdeXj5mtb5u4JTS7jVFwJL/noEHrkULV+n3OzMUVBqEF/Su/i/VVrRJQC/Hf0HAYe2nTStaLg4K+cy6k5DrmxmGwxGY2o4dTRO9cuvhWHEgfCssL4d9e/rMtax7mic7gXuNNC1aIeJJWvbZlHm6Z+fZuYmJCXl9do6wcEBDBr1ixeffVVUlJSyMvLw9DQkOLiYoKDg8nIyCApKQm1Wo2Wlhbt27dn1apVTJw4kZKSEsrKysjPz0ej0VSeh0ajIT8/n7y8PERRrPx989+lpaUUFxdXrp+ZmUlGRgZXrlwhPz8ff39/Zs6cyauvvopSqSQjIwMLCwtmzpzJlClTOHDgAKtWrWLw4BshZ7a2tly8eJG8vLxqMt38+tChQ7z//vuMHy+F6+Tl5VFYWEhZWVnl+OuyKhQKsrKyKtvDw8NxdHSs9pldf7+aMnWtFOcJgqCqsBZbI1mLswEvAEEQlIB4q5VYFMUlwBIAlUolBgUF1bFYTRN1uYapa87wUlcX/B2bbpmQmtBoRJYcjGJ+6CVsjFWseTFAqqmZkwAbp0BsMPiNxXjwt3TR0W9scRuNrSkhHE7J46sXA9HWUhAcHMz16/utVaco0RTx/Yvd8LB5MBfh/zOKZ9q/Z/kt2oAFT/lJrq/qTrD4MH7Jq2H4G43u9hoanUn0jqPMHu5Dr05Ole1qjZo3dk9BP/cI3zbzw2HENM7/24sR7iPo3al3I0r8eOLVppiB/zvIH5FKNkzpeiPpk8NXsPJJehjFQvvqmStvvrZl7o7SMg2zFuynpY0RHz7THa1bM05f3gnBYdD3M7p0HXnX83pHHCJboSSoZycofRpVyM8EdQoAlUkdn0Hj4Jrryvr164k2jeZ8khTbp+WoRVCroHpZT762ZR5lmvr1feHCBYyMGi+MKjAwkH79+hEYGIiOjg5Lly7F2NgYlUqFk5MTgwcPJisri++//x4jIyPmzJnDhAkT+P333wFYt24dhoaGKBSKyvNQKBQYGhqyaNEiUlJS+PDDD1m2bJmUP8XICENDQ3R0dFCpVPj5+fHUU0/RuXNnTE1NadOmDYaGhvj4+DBy5EiCgoIQRZGJEyfSq1cvjh49yvfff8+QIUMYOHAgw4cPr7QIDxw4kPfff59Zs2ZVk+nm1w4ODowaNYr58+fj4uLC8uXL0dfXR6lUVo6/LuvAgQOZM2cOI0eOZNeuXRw9epR+/fpV+8xUKhUBAQEN9bHdH9d3Ju73B3gR+KTi70XAKEALCAU8AVvgREXbMGDV7ebT1dUVHxeuZeSK82dPFWd8+J54fOtyUSzIaGyR7orU3GLxuV+OiU7Tt4iT/zwhZheWiqK6RBSP/SyKX9iL4uxmonh8uShqNI0taqOz50Ky6DR9i/jlfxFisbpM3LdvnyiKorjx9DXRafoWccGuS3WyjkajEVceixXdP9gqBs3bJ5aVV7z34etEcZaxKJ5cUSfrPAgTfw8T/T/dIRaWlFVp/yr0K9HnNx/R5zcfMeniZnH9lfWiz28+4unU040kqczeCymi0/Qt4jc7b7o+NRpRXNZfFOd5iGJxbrVjrl/bMnfPr4eiRKfpW8S9F1Oqd6qLRfF/AaL4XRvp/noPvL/urOgza7uo0WhEMS5EugecXlVHUjcNnlj/hOjzm4/o+7uv2P3v7uLb+96ut7Xka1vmUaapX98RERGNLUKNLF++XJw6dWpji3HPdOvWTYyMjKy1PycnR2zbtq2YlZUlajQacdmyZeJbb711V3Pn5eWJrVu3FouKiqr11fQ5AgXiA+qhdflT13WKPwGmAVeATaIoXhRFMRlYDlwCPgdqzkP+GGKnV8676iXM0fqJtiFvoZnnDn89DVH7m2w5nQOX0xj4v4OERmfy5YjW/DDGF5NLa+CHtrBtGti3gdcOSyWHHrCu5aNAkIc1IwLs+flAFAMWHuTfy6W8v/4cb/59Cj8HE14Lcq2TdQRB4JmOzZk/2o/o9AIORaZLHd7Dwb4t7J0NpYV1stb9kJhdxO4LKTzb0Qk9nRsW692xu1kRsYI+hVLZga3qVLZEbcHRyBFfy8cjKVtTpKenNZ1amLM7IuVGoyBA38+hIBW21k8SpseJnCI13+25Qlc3C4I8rKoPOLYYMq/CgK+kLOD3gK+DCXnFZcRmFIJ9OzCyg4iNdSR50yDIMQiAno496WzXmTOpZ+QaxjIyMg3Kw3jPWbp0KdHR0bX2Z2RkIIoiJiYmCIJAQkICVlY1fEfVQFRUFD/88EOtscpNnQdWikVR/E0UxU8q/k4TRbGTKIotRFGcfdOYH0RRdBNF0U8UxbgHXfORQdcYpl6hZMop/s9wHiuFIWiunYQ/hsGyvnDtZKOJpi7XcDE5l0NX0tl/OY2QqAym/HWScb+GYm6gzeZX2/GMzkGEH7vAhtekZFrPrZVKLpm7NJrcTQ2FQmDB0/789lJ7jPW02Rqt5q+QOMZ3dWH1K51rzjT7APRvJWV1XnsiQWoQBOg3G/KSpIfsRmLruSREkSoJtvJK8/gi5Au8FYZ8nZ6Fr1lL/rn0D6FJoQxpMeS+E4/J1A2dW1hyITmX7MIbSTlwbA+B0+DM33B2TeMJ9wjwY/BVsovUzBzoVf1az02E/fOg5SBw73PPc1+vD3/2Wg4oFOA9DCJ3Q0njxeXVNQNcBqCj0GGc9zj8rPxILUolueDxylshIyMjc694enrSp0/t3ysuLi50796dVq1a4efnx/nz53nzzbvL9O/r60tgYGBdidrg1HVMscy9oFCAoTW6hta8+PRTjFhsT5TPm8xqfhaC58DSXlJNyt4fSUpnA1BUWs7KkFh+PRRNYk5xlT5b7QIW+6XSTycc5V87oTADrL3hqT/Aa5hsGb4NQS2tCWppzY7d+/Bt34lmJnr1so6uUothfnb8czye3GI1xiptcOoCLQfDoYWSBd/Asl7Wvh1bzibRys4YF0uDyrbvT31PZlEGP1xLRLvTFAY5eDA3dC6AXIu4CdDZ1YIFuyEkOrNqWbHA9yRvlk1vgK6hVPZL5p64ll3Er4ejGeFvX6nAVmHPZ1IZu/5f3tf87tZGCAJEpeVLDd5PQMhPcHkHtH7yASRvOniae3LsmWNoa2mjq5Qyop5JO0Mzw1rqn8vIyMjUIS+++GJji1BvLFy4sLFFaBTq2n1a5j7xdzTlxS7OLA9N5s+yXvB6GHR8FU4sh+/bQcgSKMmvt/XLNSJrjsfTc34ws/+7gIO5Pgue8uG/Eboc6RTCGfuvOKo1iUGXPkAZuR1a9JTKLL12RHrgkhXiu0JXKdSbQnydUW0dKCnTsPVs0o3GPp+AuhD2f12va9dEfGYhp+OzGewrPayqy9WsvbyW1ZdW87RgSiulMXR/lwHOA9AStPC19MXJ2OkOs8rUN36OJugqFRyLyqjaoaWEp/+USqytegZCfm6y4R5NlW92XALg3f4tq3cmnYUzq6DTq/ftdaOjVGBtpMu1rCKpwbETGNpCxIb7FblJcr0Ek4eZByotFWfSzjSyRDIyMjIyDyuypbgJMX2AJ3EZhXy4IZxitRcTB86VaoJue0+K1907G9x6gVNXsPIECzcwsn0ghTS3WE1YdCbf7LxMRFIuPezKWdk+GdectbBrLxRlAQI4tIOgGeDWB+wCGj2T8eOGKIrsjN2JnlKPQIfbu6b4OZjgamXAulPXGNOhou6plQe0GQfHl0HHV8CibmKZ74Zt4UkIWgX8kzyJP/8qBkFynfYxceONM/ugx0xQGWMBzOo8CxcT2f2+KaCr1KKdsxlHr2ZU7zS0ghe2wNoJ0v0p+gBKi6cbXsiHkPBrOaw/fY1XAl2xN61hg2z3LNAzhW7vPNA69qZ6XMuuUIoVCvAaCqdWSJuruoYPNHdTQ1uhjbeFt6wUy8g8ooiiKIdUPcQ8LLHXslLchFBpa/Hjc235v9WnmP3fBWxNVAzx9YXx2yE+DI7/ClHBcH79jYO0DdAY21MgGCDqmWNk44xgYg/GDmBiD8Z2oDKV4pe1lIiiyInoVA6cuUz4lWjU2dewF9J5WRVPL5tYTDIvwmHAwBo8BoJbb3DtBfrmjfW2PPZkFmfy2dHP2BO3BwNtA3Y+uRNjHeNaxwuCwGBfO37Ye4XMglLMDSqS9ATNhLP/wJ5PJZf3BuK/s0nYO4WSWZLOaI/RqDVq+jv3p8vxvxG0dKuU9xnhPqLB5JK5M51bWDB/52WyCkoxM7gl2ZOuIYz5W4pV3/0JbXRPQFsfMK+fWrGPAqIoMmfbBUz1tJncs4aNqat7pZ9+X0iK8QNgb6bPmfjsGw3eT0DYUojcBa0evf+zLnZd+OH0DxxNPEpnu86NLY6MjEwdoVKpKmvwyorxw4coimRkZDwUybdkpbiJoaNUsOBpf1JyQ5i65gzNzfXxdTCVEtw4ticyJZfNh8IoTb6MXl4MVqXxmKWmYkARFkIkDgmhGIs1J1MpVago1ShoRyHtKheUfolKIwTzAGj3lGQNtmktWRdkGpWLmRd5c++bpBel86zXs6y8sJI1l9bwQqsXWHt5Lb2a98JKv3pWwL5eNny35wp7LqQwup2j1GhkA13flOLV40PBsUO9yi6KIkk5RZxNSsSs5X4GOA3go84fSZ15KXB2NQQ8BwYW9SqHzP3TqYX02RyLymBg6xpiNRUK6PI6OLRH+49RsKwfPL8BbH0aWNKHg+DLaRyOzGDWUG8p3v9mNBrY9TGYNocOLz/wWvamemwPT0KjEVEoBCm3gL6llIX6EVSKX2j1AluitvDR4Y9Y98S6224cysjIPDw4ODiQkJBAWlpaY4sic5+oVCocHBzuPLCRkZXiJoiuUoufnmvL8EWHGf3TUSZ0c8HZwoD9V9LYdi4JbS0FHjatsbfvgJmBNlZGKvwdTTiTW8KskwmgLsRFJ4fU+KtYaDIwFgowoghzZTHNjJQ42Dvg5tQcXWNLMGoGJg4Ixg6yEtzEOJt2lok7J2KkY8SKQStoZdGKqOwo/rzwJ5HZkWyJ2sKptFPM7T632rE+9sY0M1GxK+ImpRig8+uSx8HOD2H8jnqNBZ9+YDr744+gcjClTCzhFb9XbnSGLYVyNXSaUm/ryzw4fo6mmOlrs/lsYs1K8XWad+Rkm7l0vPCFVFZu0j4wtG44QR8CyjUic7dexNlCn2c71hAzf24NJJ+Dkb9AReKoB8HeTA91uUhqXgm2Jiop5MV7mBSvXJIHukYPvEZTQqVU8WW3L3l+2/PMODCDOd3nYKJbQxIzGRmZhwptbW1cXOSwqoagXCNyISmX7EI1Xd0eP8u8rBQ3UayMdFnzame+3n6RxcFXATDT12Zi9xa8EtgCC8OaH5rGXo8hBVLzitlzIRVbYxUtbY1oZqJ67C7wh5mfz/6MnlKP1UNWY6knZYwe33o8L+98mS1RW3AydmJHzA7eafsO1vpVFRBBEOjjZcO/JxIoVpej0q6IAdc1hB7T4b93JFd81571IntOSQ674nahKDdFqRfPoBaDcDWtcBctLYSwX8BzMFi61cv6MnWDtpaCkW0c+ONoDOn5JVjWct8BKNJ3gLF/w68DYNWz8OKWOlHuHhXWnkzgUkoei59tg47ylg1IdbGUM6KZH/iMqpP1HCrila9lF0pKMYDv09KmWMQmCHi2TtZpSrS2as2MDjP4KvQrRmwcwcKeC/G1kuudy8jIyNyJY1EZTF55kswCqQzjE/52fDXK98bz42OAbBpswtiZ6rFwTAB73u3B7ncCOfFhX94f5FWrQnwr1kYqxnZoTk9Pa+xM9WSFuA4p05TV+ZyF6kLWXl5LckEyMTkxHEg4wJiWYyoVYoCOth0Z5jqMNwLe4MfeP1KuKWf1pdU1ztfX24YidTmHrqRX7Qh4TooZP/pDnZ/DdfbF76NMU0Ze3BhGWf7CZ10+u9F5eqWUwK3z6/W2vkzdMbaDI+py8Ubt65vQaESyCkop11Qk0bDzhxE/QkIo7PuigSVt2vwVEoenrREDfWyrd4YthZw46Pt5nXns2JtJSnHC9QzUAI4dpZjvM3/XyRpNkTGeY/hr8F8ALD7TeLXZZWRkZB4WLiTl8vLvxzHT1+Z/Y/x5p68HG08nMmLxkeoVKB5hZEvxQ4Cr1aOVKfRh58i1I7y7/11mdpzJMNdhdTLnlqgtzA+bT0ZxBvaG9nhbeKOt0Oaplk9VGScIAl90u6Fs9HDswZpLa5jkOwldraqbJZ1aWGCkq2RbeDJ9vG1udCh1ocMk2DcbUiLAxrtOzuFmdsbsxEzHhrhCe4b4uKKjVRG8rimHo4vAvh0071Tn68rUPW7WRrRzMmN1WDyTAltUbq7ll5TxzNJjnE3IQRBgWAttgoKQ4lWv7oPD30HLQfLnDMRmFHA6PpuZAz2rb04WZsKBeVIuhxY96mxN+0pL8U1KsSCA3zPS/35WLJg9mqXPvCy86Ofcj7WX11JcVoxKWT3BiyiKfHT4Iwy0DZjZcWYjSCkjIyPT+JyIzeK1P0+gr6vFHxM6Vn53tLIz5qMN4YxZcowOLub08bKmi6slnrZGJOcWcyoum5NxWaTkFtPB2Zz+Prb1UnJUEAQr4ALwJBAHrAFMgOWiKH5RMeYj4AUgCxgtimKMIAgtahp7O2RLsYzMPbAvbh+v732dfHU+66+sv/MBd0F8XjwfHvoQe0N7Pu/6ueR6HLuLwS0GY6F3+yRUYz3HklWSxaGEQ1Xaw9PDuZB1joGtbdkenkRh6S2W7fYTQKknKah1TE5JDkeTjmJY1hYLA10Cmpvd6LywCbKipeRMsufCQ8OYDs2JSi9gcfBVRFFEXa5hysqTnE/M5a3e7vRsac2mq2pOxWVJB/T/AkwdYf2r9Vpf/WFh0+lEAIb62VXvPPQtFOdCn0/rdE0DXSWm+to3ahVfx28MIEiJ7h5huth1obi8mJMpJ2vs3xy1mY1XN7I9ZvtDUy5ERkZGpi759VA0T/18FF1tBStuUogBenvZsHdqENP7t0QoSGP7tk0sXjSf2bPeYe03k8lbM5nex1/lnciX6LWjLwUL2pO/ZjJc3gF1e0+dB5yv+PtD4AugJTBMEARvQRCcgBEVbZ8BX9U29k4LyZZiGZm7JKckhxkHZ+Bh5oG/tT9/X/ybjKKMOyqud2LJ2SUoFUoW9FyAtb41LiYuLDyxkAk+E+54bFubtmgrtDmddpreTr0BSC9K55Vdr2CuMufDNr/xz/EEtocnM7LNTZn/9M0lN+oTv0n1p00da17gPrjuOh2b4MZQbxu0FBXKr0YD++eBpQd41Y2FXaZheMLfjn2XUpm34xL7L6eRlFNEfGYRc0a2ZmyH5uQVq+kxdxcz1p5j8xvd0NE1guE/wm9DpLq7g79p7FNoNERRZMPpa3RwMcfu1rrE2fEQskSqR18PGbur1Cq+jqkjOHeTyrP1eK/O12wqtLNph7ZCm8OJh+li36VKX3JBMnND5qKj0CGzOJPUwlRsDGxqmalpk16UzowDM0jIl8IbJvlOYrjbcBTCnW0e4SlRLA87zKmLjkRnFKAQBN7q7c6bvd3rW2wZGZlGJvxaDp//F0FvT2u+fdq/akUETTlc2obq/HpeiznIa/kpcJMzoohAuZ4FClNHFMY+ZJfrci4yGtuIDXB+Jdj4QJ9PwL3vA8koCMIAIPmmph7AZFEUywVB2FLxugjYVtG2DVh0m7ERt1tPthTLyNwlf1/8m8KyQj7t8ikj3EagETXsi9/3QHPG5cax+epmRnuMrkyW5Wflx/IBy3E2cb7j8bpaurSyaMXp1NOVbV+GfEluaS4xuTF4NNOiubk+a09Wjwel61vS70PfPtA53MreuL2Y6lhTkNeMYTdbxi79B6nnIXCalAlX5qFBW0vBD2MDmNa/JdeyimhpY8z/xvhXJvYzUmkzzluHSyl5rAyJlQ5y7gadJktJ1a7ubUTpG5fziblcTSvgCf8arMTBc6TfQfXjvmtvqlfdUgzQajhkXIG0S/WyblNAX1uftjZtOZJ4pFrf4tOLUWvUzOoyC4ALmRcaWrw6Y0/sHkKSQ/Cx9MFSz5JZR2YxZc+NrP5lmjI0oqb6cRdSeGb9dHZmfA1mO5gS5IqfgwlLD0SRX1L3OTNkZGSaDqIo8vmWCMz0daorxFf3wqIOsPpZiD4Azt1hwFx45h949TBMvYLwcQbK6VdRvBIMY//C9LnlFI5ehX/Rj6xz+gjKimHlk7DuFSmHTO0oBUE4ftPPpOsdgiAYANORrL/XMRBFsbji71TAFrAG0ivOqwzQEgRBq5axt0VWimVkbsPfF/9m0s5JXMm6wsoLKwl0CKSleUs8zDxwNHJkd+zuyrFborYwbf+0u3bFE0WRhScXoq3QZkLrO1uFa8Pf2p/zGecpLS9lT+wedsXuort9dwDCM84xso09R65m1GwxavM8nFwhWazqgJLyEo4lHUNP3RpLQxUdK+rcIoqw/2swd4VWI+tkLZmGRRAEpvR04/CMXvzyQjue8Lev0u9vrSSguSkrjsXe+B/o/RFYtoSNb0gZlh9D/gqNQ0epYJDPLSWtUi9ICa86vFynnho3Y28mWYqr3ZM8hwCClIX6EaarXVcisyNJLrhhaCguK2Zn7E4GuAygT/M+CAhcyJCU4ofRjfpo0lGaGTRjXuA8VgxcwQSfCRy6doiEvAQ0ooaRm0ay4MSCKsesDIll4sq9iKpLmOtakabcQrbBnzzXQ4u8EjX/hNXN94GMjEzTZGdECiHRmbzd1+OGQqzRSM9pK0aCoAVPLod3LsCTy6DTa+DRX/JoMrSu0bDRv5Ut47q6884lL3Z0XydVOgn/F5YESeUGa6ZMFMV2N/0sualvNvC1KIqFN7XdepMWammrbextkZViGZlaOJhwkDkhcziadJQnNz9Jdkl2pUuzIAj0cepDSFIIOSU5lJSX8M3xb9ges53jKcfvav41l9ewK3YXL/u+XCXD9L3ib+WPWqMmIiOCJeeW4GzszNzAuSgEBWfSzjCqwm164a7L1Q/u9o70+8C8+17/ZsKSwygqKyIuwZnBrW1vuE5f3gHJZyFwKmjJURuPKs92dCIqrYBjUZlSg7aOcoR9AAAgAElEQVQeDJoHuQlw8vfGFa4RyCooZd3JBEYG2GNmoFO1c8/noGMI3d+tt/XtTfUoLC0nu1BdtcPIFhw7SDH+jzDX3aZ3xOyobAuOD6ZAXcDQFkPR19bH2cSZiMwIsoqzGLhuIH9G/NlY4t4z5ZpyQpNC6dSsE4IgIAgCw92GA3Ak8Qjh6eFE50RXJhwDyWXy000RtHSNBEFk+YBfGOc9jm3R25h1/GXMWn7ND+GzSSt8fDLOysg8TiRkFfLhhnA8bAwZ275iQ7asBNZOkKpGtB4Nk/aBz8h7fl6bMdATP0dTpq6/SJzv/8FL26S5f+kDp++56sFw4EdBEGKQkmytAvIEQbieOdEayQKcBFgCCIKgBERRFMtrGXtbZKVYRqYGQpNCmX5gOi3NW7J+2Hp8LHzobt+dNjZtKscMcB5AmVjGdye/Y8OVDaQXpaNUKPn38r93nP98+nnmhs6lq11XJrae+ECy+ln7AbAiYgURGRE84/UMxjrGuJu6czbtLI7m+rze0401JxKql9UxdZQsVSf/gNijDyQHwP74/WgLuhTnOTPkuuu0KML+r8DMWbrZyjyyDPFthrFKyV+hcTcaXQLBqRsc/BbUNbjyPsL8FRpHsVrD+G4uVTviQqRwgq5vSvH99YSDWQ0ZqK/jNVTaqMqKqbf1Gxt3U3c6N+vMotOLiM+VrJ9borZgo29DO9t2AHiZe3Eh4wIbIzdyLf8a84/P51TqqcYU+645n3GePHUene06V7Y5GTthb2jPoWuH2B0neTLlqfP4bO9q5u+4xOSVJzE30EHP7DQ+Fj60MG3BtPbT2PvUXj7p/Ane5q0pVYXx4d66T8IoIyPTuOQUqXlpeRjF6nIWPdMGpZZCcm9eMQLOr5PigEcuAR2D+5pfRymFWgkCTPnrJCXN2sIrB8ChPWx4Fba8A+XqO08EiKLoIoqisyiKzsC/wBhgFzC4wj16KLC74mdARdsg4GDFFDWNvS2yUiwjcxOF6kJe3fUqE3ZOwEDHgIU9F+Jm5sbKwStZ1LvqQ4K3hTfjfcbzz+V/WHByAb5Wvoz2GM2u2F1kFdceQxGVHcXkPZOx1LNkTvc5d5UQ5XZY6lniaOTIztid6Cv1GdpiKCDFJp9LP4dG1PBWb3c6upjz4YZwIpJTqz709fwATJvDxilQWkihurCWlW6PKIocSDiAMd5YGxrS9nrW6cg9kHhSsohpad9+EpmHGpW2FqPaOrA9PIn0/BKpURCg50zIT4bjyxtXwAaktEzD70di6O5uiYeN0Y0OUYTdn0i1wjtNrlcZ3Kylcn4RibnVOz2HSL8vbKlXGRoTQRD4rOtnKAUlHxz+gKOJRzl87TCDWgyqvO96W3iTUpjCiogV+Fj4YGdox7T908gpybnrdS5nXWbCjgkMXT+UN/a8UV+nU42jidJGZsdmHSvbBEGgm303QpJC2BWzi7bWHdAWLVgfuYHFwZEUqcuZNsyIyJzLDHUdWnmcia4JozxG8cfQH9AXXTiYEMrWc0kNdi4yMjL1S0lZOa+sOE5MRgE/P98WdxsjyI6DZf0hIQxGLYNubz9wZRBHc33mj/bj3LUcvvzvguRu/fwG6PIGHF8Gf46Eouz7nf4TYBpwBdgkiuJFURSTgeXAJeBz4L3axt5p8gZRigVB+EgQhEhBEMIEQXBuiDVlZO6HHTE7OJx4mDcD3mTz8M3YG96Im6xWXxR4I+AN2tu2p0BdwKTWkxjtMRq1Rs2mqzW7JWaWZTJx50QUgoIlfZdgpjKrcdy94m/lD8Aw12EY6kgPwn7WfuSr87mafRWlloL/jQlAVBTw8s6JjNs2jrNpZ6WDdQ1h2PeQeZUr2/6PoH+CKmPQRFEkLDmMt/e9TdDqIIJWBzH72Oxq6+eX5rM7bjeJBYlkprvR3d0KhUKosBLPBZPm4DumTs5VpmnzbMfmqMtF1hy/ySvBuZuUrOPId3e9S/yws+VsIql5JUzs3qJqx5VdEHdEyvx8n7vxd4urlSEWBjoci67BFdbcBWxbw4XN9SpDY2NrYMvMjjM5lXqKSbsmUSaWVW4cgmQpBkgtSuU57+eYFziPlMIU/r4oufqVlpeSU3Z7BXlj5EZOpp7ESMeI4ITgSqt0fXM06She5l6Yq6p6G3Sx60JhWSEJ+Qmcv+JEUUYblAaR7J7hxca3vFl2+RMMtA0Y6DKw6oTn/kXrn+d4uugSuqoY2q1tQ/avT8LZNVI2WhkZmYcSURSZsfYcx6IymfekH11cLSHpjOTWnJ8Mz6+H1k/W2Xr9WtkyoZsLvx+NlTbXtJTQb7ZUlSL2KCzrC5nR9yL/i6IoBouimCaKYidRFFuIojj7pv4fRFF0E0XRTxTFuIq2GsfejnpXim9TP0pGpkmQVphGUZnkXrg/YT82+jZMbD0RlVJ1hyORSikFLWBh0EICHQJxN3OntWVrdsbsrHH85uzN5KvzWdp36V1ll75bOjTrgJagxRjPG4qnr6UvQKXyWyKkYOW+nJzyOHQUuqy7su7GBC16oO40mQ9TgikqK+LX8F/ZHbubDw59wPgd4wlLCaObfTecTZz559I/XMu/Jp3P1c1M2DGBrqu68k7wO2grdMjLdKe7e0WM9Pn10g5kj2mgvCWmUuaRxM3aiI4u5vwdGodGc1Oeiy5vQF4SRGxsPOEaCFEUWXYoGndrQwLdb8oXoNHAnk/BzAXavljvcgiCQAcXc0Kux3jfitcwiA+BvOSa+x8RhroOZeMTG/mxz4/82v9X3M1ulBzytPAEwEzXjL5OfWll2Yqu9l1ZdXEVpeWlvLv/XT669hGv73mdi5k1GxrCksPwt/Lny25fAlI8ryiKTNwxkR9P//jA8h9LOsYf5/9AfdOGUlphGmfSztDJrlO18R2bdUSBFqIooFPamu+GvoyOQofhG4YzctNIskuyq27KajSw4wMppjDpLO2t/CkTBFbo+6OOPwnrJsLPgRBbPZO3jIxMw5CQVcjHG8NZdij6hifWXSCKIl9uvcD6U9eY2s+D4QH2Up6X5YNAoQ3jd0gb13XM9AGe+DuaMv3fs8RmFEiN/s9ICnh+qqSQNzEawlLck4r6UcA2oPMdxsvI1AuiKFbJQgpwIOEAA9cNZPqB6ZSUl3Ak8Qg9HHrUaBWuDRNdE3o79a48ppVFK6JyoqplMo3OieZEwQnGtByDm5nbg5/QTQxzHca2kdtwNXWtbHMydsJKz4qvwr7irb1vMXLjSNRCOmVJL2Gl6MjW6K0UqAsqx/9q25wIXV3mpGfjbmDP28FvsyVqC5P9JrPryV3M7jabud2lBF6rL65md+xu3j/0PqmFqUxsPZHFvRfzTLOfEcuM6epmKWUb3j0LbFqD/7N1er4yTZtnOzkRl1nIocj0G41ufaXs48ceXElo6oREZ3I+MZfx3Vyq3kvOrYGUcOj1YYOFEnR0MedadhEJWTWERXgNBUS4+F+DyNKYtDBtQTf7brS3bV+l3VjHmO723XnJ5yV0tKSNu3He48gozuDd4HcJjg+mlV4rzqSd4f/2/V+18ka5pblcyrpEe9v2lfG8hxMPczL1JCHJIfx89ufK7Nb3irpczddhX/PyzpeZd3weY/8by6XMS4iiyGdHP0NL0GKU+6hqx0WnlqHOd8dE8GLHG0Pp6+HFmqFreNXvVbrYdeHX/r/iayVtmqLRwIbX4OgP0OEVeOs0bZ74BYWg4Jp/EO2LvmOH9xwozpHqjoevq7aejIxM/fJPWDz9Fxzgr5A4Pt8SQccv9zDhtzA2nr5GVFo+6fklhMVkcjE5t/LZUxRFMvJLmLvtIksPRvNiF2emdLKUQuX+ekryFpq4G6y96kVmHaWCH565EV9crK7wNnHpDhP3gMq4XtZ9EBoiDWyV+lGCIGgJgqBVoSTLyNQpoiiSU5JDTmkO+kp9LPQsKmPHFpxYwB8Rf7B6yGpamrdkR8wOph+Yjp5Sj33x+1gRsYKisiJ6OPZ4IBmcTZzJV+eTUZxRJav0krNL0Ba0eaHVCw80f00oBAXNDKuWfBEEgZ/7/syKiBXsi99H7+a9mdZ+Got2p/LXaR10nQ6wI2YHI91HotaoWR7xO73tuzMkLwzvq+F85tGe8e3fJtAhsHJOWwNbejXvxdora9kStQVPc0/+GvwX2grpAX/x1mN4NTPGykhXSqyUHQfjNsl1iR8z+reywdxAh5UhsQR6WEmNCgV0fAW2vQcJx8GhXeMKWY/8cjAacwMdRgTcVLaqrAT2zQZb3wYtS9bBRSqLFhqdiYOZftVOK0+wcJNcqNvff1m4h53FfRZXed25WWfcTN0ITggmwDqAF1UvUuxUzPSD0wlLDqsSw3sq5RQaUUM7m3YIgkAXuy5sjd6KSqnCUNsQHS0dPj36KSsHrUTrHu+DW6K2sCJiBU+3fJoOth34IuQLnt7yNN3su7E/YT/T2k3DydipyjHqcg3v/XsW/fyXWD+uO4a60mNeC9MWTPa/JYZdFGHnh3B2lZRbInAaCAKGOoZ4mnuSpbmIl1ce7xZs5WS753nryl70104ATRn4PnVP5yIjI3N//HIwitn/XaCLqwVfjfKlSF3OupPXWH8qgT0XqydUbm6uj4GukvjMwsqa4+PbWfCR+S6E7xZASZ4UO9xjBmjf2SPyQXAw0+ebp/yZtOI4L/9xnCXPt0NPRwss3WDCbnjr/iuv1AcNoRTfsU5URbHmSQBKpZLg4OAGEEvmUaOgvIAlaUuIKomqbNMWtOlt3BtvPW9+S/4NEZEF+xYw3Gw4s67NwlHbkfFW45mTNIfvTn6HjqBDyZUSgiOD71uOnCIp/mzD/g24qSSL8ImCE/yX/h/dVN04F1JrvbZ6oRe96GXbC0Q4H3oeJ7Gc0kJHrLFh+fHlmF8zJ6o4igJ1AU4l7hz26IffmY/59exBrhR5EtysvEriBa9iL3aV7kJA4EWTFzl84DAAJWUiodGF9HXSJmzLb7Q98SUZlp04HydCXHCDnrNMw5Ofn1/l3t3JWmR7RAp/bdmLnaG0MaVV5khnLX3SN3/ORa+3G0nS+iWjSMOeC0UMcdXm2OGDle32CVtwz47jjO9LZB040GDyaEQRfSVsOHIe89zIav0uBv44Rq/nyK7NlGkb1TDD40kPZQ/StdIZohxCYUEhOjE66Cn0+OnwTxRZ3sjmvSFrA0qUZF/IJvhSMMaFxhSoC9gWvY1uht1wVbnye/rvzN86n46GHW+zYnX2Z+1HW9Cma1FXhBiBaZbT2JS9if0J+2mh2wKHVAeC04Irx2cVa1h9qZSIpHKm+OsSceIEEbeZ3z5hM+6Rv5BgP4RITXvYv7+yz6bUhuCMYESOI6qt+SvqT3bqWPCdmRc+617h3JV4Mi3aVo4XRfGePKxkmg633rtlmg5749T8EVFKOxstJrgWcfVsKACd9KBDZy3iclXE52koKgNbA4HMYpFTqSWgLmaYZSoBwmVal53DPeIYQngJGeZtifJ5ngKlCxw+1iDnoA1M8NFh2bl0Ri7cyf+1UaGrbJr3ioZQipMAL6hWP6qSimLNSwBUKpUYFBTUAGLJPEqkF6Xz8s6XiVfH87r/69gZ2lGgLiA0OZTtsdvZm7cXa31rAqwD2J+wHw9jDwrjC/myz5e0tmpN8plkFp9eTBeHLvTt2feBZHHNc+XHdT9i1sKMHu49+PjIx2xI34CvpS+DVYNp7Ou7u0Zkwamd2Or04lLp37i0ceFi9EWEFIGXer+EqcoUunaHteNpeXkxLcsvQe+PwC4AgB5iD87uPUtrq9aM8x1XOe++i6mUi2E828Ob9vtmgb4ZVi/+SZChVWOdqkwDEhwcXOXabtW2hMPf7mddvIp/XuksJV4DKB6L7emV2Hb0A726STTXlFi0LxKRS7w3qhuO5hWW2ZI8+N8EcO6O34gHz+55r3SJC+NqWkHN9x53Y1j6L92s8sF/aPX+x5QggnhLfAtBECqv7dBjoWyI3ECbLm0w1pFc/37a8hO+1r7069UPgLalbflt1W+Ui+W8HvQ63ube7Fm3h2hVNNODpt+TDJuCN2GPPT179qxsG8IQonOisdSzxEjnxiZGWEwmr/wSgkYUeb2nG1P7t7z95LFHYP9y8ByCw1MrcFDcEk0XD/v2Sh5GnorJzNu/g0LXVbxho83Pul74XvwGXtwM9m0JSw5jxsEZfN7l88ra0DIPD7feu2WaBlfT8lm1+yBBLa1YOq4d2lp3iHjNT5USOcYchOgDkCHlfkFlAgFjIWAcFg5tsah/0asRBLQ+fY23V59mWaSKX19qX+nF0pRoiJji2upHycjUGd8c/4aEvAQW91nMK36vMNR1KGM8x/BNj294v+P7qJQqPu3yKRNaT6CorIjl55cT6BBIa6vWADzr9SweZh6MdHtwt0Y7Azu0FdrE5sYSlRPFhsgNjPUcy+8Df8dAq36zzd4NWgqBzq4WXIv3REBga/RWQpJC8DT3lBRiAAMLeG49DJwnJcpaEgR/DIekswiCwPe9v2eS76Qq8/55LBYLfSVdIj6D1Agpy6CsED+2WBnp8vEQb47HZvFnSOyNjjbjoKwYzt25nvfDhiiKrD2ZQAcX8xsKMcDRRVCYDn0+bXCFGKBTCwui0wuIz6whrtguAIwdHvks1PfDrZbPke4jKSkv4b8oKQY7vzSfC5kXKmseAxjpGNHOph3eFt54m3sjCAJ9nPoQkhRCbmkNpbFuQ2J+YpUKCNdxMXGpohAD/B0Sh56OFnvfDbqzQpyXAmtelGrHD/9RCm24hR4OPfipz098Hfg1E7q54W7sh5D4OkqFNq+bqSgwsIA/hpMduZMZB2aQWpjKzEMzSStMA+BS5iW+DPmS2cdmczbtbLUcGzIyMrWj0YjMXHcOlVLB10/63l4hTr0gxQkvaAUbJ8OVneDYAQZ/C5OPwXsxMPR/4NC29jkagCf87flubAAn4rIYtyyE3OKmV4mi3pXi29SPkpGpE3JLc9kVu4sn3J6gU7OqmTgFQWCs51gOjTlEV/uueJp70sa6DQCT/W7EVxnrGLN22Fp6Nu/Jg6Kl0KK5UXNicmM4kXICgOe9n0epaDq7Yl1cLUnK1KWVuT+br27mdNrpau+dFAM6Cd4+D30/g6TTUgbSf8dD9EEpQUsFl5Lz2Hsxmd+t/0Lr3GopPs296WUWlGlYRraxp7u7JfN3XKKsvOJ6sfOX4mpP/tG4wtUDZxJyiEorYFSbmxSZgnQ48r2U1KqRHkoG+NgiCLD2ZEL1TkGQZLu6B0ryG164hwgvcy98LX355ewvFKoLWXdlHRpRU+3e+U3QNyzpu6RSqe7dvDdlmjIOJBxAFMW7Vo5rU4pvpaxcw75LqfRqaV11M6YmRFF6gC7OhadX1JrsRhAEutp3RUdLB20tBf/Xx4PkDGPGOH1ASlE637UdRrGhNR/tfp3M4gzmdp9LobqQiTsnMnT9UJ7c/CTrrqxjY+RGnt36LLOOzJIVYxmZuyA+s5CPN4UTGp3JB4O9sDaqJe43ORxWjobFneDcWmjzArx6CKZGwujfpDwR1l41bno1FkN87Vj0TABnE3J4flloY4tTjQZ5ShdF8Qfgh4ZYS+bxY3v0dkrKSxjhNqLWMTfv+M/sOJPw9HBaWbaqN5mcjJ2Izo1GpVRhrW+Ng6FDva11P3R1kxxo7LW7EJ65CKBK8pgqqIyh61uShe/gN3DiDwhfCypTsG8LZs6kXM3msO5+7JLToftUKWGLzGOPIAiMbufIwSvpnE/Mxc+xwhOhzTjYOhUST0tK8iPCupMJ6CoVDGx9U9K7vZ+Dugh6fdxocjmY6dPV1ZI1xxN4s5f7DVf263gNhZAfIXIXtKr9Pvq4IwgC09pP4/ltzzMndA47YnYQ6BBIO5uqSeNMdE2qvPa18sVKz4rdsbsJSQphS9QWlvVbRhubNrWuVaguJKskCztDuzvKdTIum6xCNX28be58EieWS5/zwHlgc/ffgb29rLE01OXYBUPGeo7l74t/s9vGgtSiUqZnZDK4sBhN54/55vg3tLJsxRjPMQxpMQQtQYufzvzE7xG/42zizHif8Xe9pozM48bO88m88ucJBGB0WweeaudYfVC5GvZ/DYe+lVyje34oKcD65tXHNkEG+DTjx+cUTF55orFFqUbT2T6QkblPNkRuwM3UDW8L77sa72nuyZMedVekvCacTZyJz4vnePJx2lq3bXIJSFytDLE20iU3wwuloERboU2AdUCt4y+n5HE0USMVX3/3Ioz8BbyfoDwvheIza+mUuYFCEzd4crlUbqaJna9M49HJRfqiPhaVcaOx9WhQqh4pa3FesZqNpxPp622Dsaqi3FLCCTjxO3R8Faw8GlW+0e0cuJZdVPVzuE7zTqBvKbtQ3wX+1v4MchnEhsgNAHzY8cM73t8VgoJezXuxJ24PGyI3oNJS8d6B98guzq4cE54eTkpBSuXr67Xg78ZSvPtCCjpaihuZ3msj46pUj7hFT2g/8Y7z3oy2loLR7RzYezGVp10n0dy4OZb61vza83ueM/GGfycwNDuD4KeDWdR7Ec96PYuJrgmGOoa82+5dBjgPYOGJhbyx9w2WnVuGWtP0XCdlZBqbnw9E4WSuz6HpvZg32q/6vaW0EFY9Cwe+lr5HXz8OPaY9NArxdfp627Dk+aZXgUJWimUeOtQaNSsvrGTExhFM2jmJc+nnGO42vEkpns7GzpRpykgrSqOtTePGcdSEIAh0c7Pk6OViujbrRaBDIPraVd3uyso1bA9PYuySY/RbcICxS4/x66Fo0NEn3mEwXypfwz/1YzzzFvOMzWZMXt4EPiNlhVimCtbGKlytDKoqY3qm4D1cqttbWkOc60PIb4djyClSMymwhdSgKYf/3gFDGwia0bjCAf1b2WKkUvLP8fjqnQot8BwMl3dI9cVlbsvbbd/GzsCO99q/V60UXm0MchmEgMDLrV/ml/6/kFGcwawjswDIK83jpe0v8d2p7yrHJ+YnAnepFEek0MnV4vaJa8rLYP2rUn3sJxbdl0vlmPaOaET470wmm4ZvYvWQ1bRvHgTPrQO3PrD5LTi0UHLRvglBEPi86+eM8hhFTE4MC08uZMvVLfe8vozMo8zllDxOxGbxTMfm2JnqVR9Qkg9/PCF5egxZACN+euiU4Zvp6Wnd2CJUo+kEOcrI1MK/l/8lMjuSF1u9yJWsK8w7Po/onGh8LX1JK0rDRt+GIS2GNLaYVbi5dmRTVIoBXu/lRvDlNE6dHMQbPd15ZukxCkvLsTVWkV9SxuWUPFLzSrA31WP6AE/OxGfz2ZYIVhyLJTq9AC2FwEAfWyZ0cyGg+aOXRVim7ujUwoKNpxMpK9egvJ4wpM3zUn3UC5vAb0zjCviA5Bar+eVQNH28rPF1qHARD/lZisMf+UutcZsNiUpbixEB9vwdGsekQFe87W6RyWsYnPwdoveDR//GEfIhwdbAlu2jtt/TRmwbmzYcePpAZTLD1/xe4/tT33Mx8yLn089TXF7M+fTzleMT8qX47zu5T0el5ROVXsBLXZ1vL8CR/0FCqHQ9mtxZ0a4JJwsDurtb8tuRGF7o6oyxquJ/WUcfxvwF6yfB7lnSdT/0f5JrZwUqpYpZnaW44kHrBrE9Zjsj3B9fV31RFIlMzedqWgFlGg0DWtneuDfKPJasCo1HW0tgVJsawu00GtjwGlw7LsULez/R4PI9DshKsUyTJqckh6/DvqaorIhVF1dRLpbjZOzE972+p4dDjyZlHb6Z60qxqa4pLUxbNLI0NdPCypDfX+rA2KXHmLHuHM4W+jiY6XMlNQ8jlTbtXcwZ5mdHHy8btBQCZeUa5my7yMXkXJ7p0JxBvs2wr2k3U0bmFjq7WrAyJI7wxFz8r8cVO3UF8xaSC3UTVIqL1VLlQJW21h3HLj8kWYnf6l3hIp1xFfZ8Bu79oXX9hmrcC//Xx4Nt4cm8889pNr7eFV3lTefmEgi6xtImhawU35H7+e6pzO4PPN3yaX459wt/RvxJfJ5kvY/OjaaorAg9pR6J+YmotFSYq25vCQqLyQSgq5tl7YMyrsK+OZJ3xgNej+/192TYokMs2hv5/+ydd1gUVxeH32GX3jsKiKDSVFBExQZi7y2WGDWaxJgYEzUxpn0pppgYNZpEY4/RJLbYe+8VRQUsIAoKSC/S++58fwwKKnak6LzPw5N4792ZszA7O+eec36Hz3u4lU4oteCVpZKI3oEf4GYg9PzlvmtJEAS6OXbjr4t/kZaf9sj396IhiiJrzsTw1/EbXEnMujPetI4JP/RrRD1Lg8e658i8WOQXqdhw/iZdGtpgbqB9/4KjM6V7c5cfZIf4OSI7xTLVmrXha8krzmNuh7kEJgZio2/DYOfBaCo0q9q0h2KmY4axtjFeVl5oCNV397exnTHrxrYiLbsQHyfz+wV4yqBUaPBVr8er25aRKUtLR0nY7VRkaqlTLAiS4Na+KZAcXuU1t2VRqUWGLDpFXHoevw1pgp62kn9PRTGgqS2t73E+YtJyWXA4gq4NrWlsZyylTW8eBwot6P1rtSonMNPX4udXGvPmskDmHrjGpC5lWvcotcC5G4TtgF7FoJAfD54nxtrG9KnXh/VX11OsLsbDwoOQlBDCb4XjaelJXHYctQ1qP9L5DopJx0hHiaPFQ9r97ZsiXY/dpz/z9djYzpiBXnYsPX6dAV52uNiUaQ2loQHtPpI2WDaPg5WDpQf4bj+DUWmaebe63VhyYQn7ovYx2GXwM9lT01h4JJJpO8NoWNuI7/s1oomdCRHJ2Xy9+SI9fz8GQPO6pswe0gQ700coicu8MOy+lEB6bhFDm9e5f/LGMTj4I3gMgVbvV75xLxHV92ld5qWnUFXIitAVtK7dGj97PyZ5T2KY27Bq7xCDtBv+a/tf+bj5x1VtyiNxtTGidX2LhzrEMjLPgqWhNvWtDDgRcY/IU5PhkuDWid+qxrAHsCIgiuAYSfMAWlEAACAASURBVARp2J8B9PvjOOvO3uT1padZW6YmVxRFvth4AQ0BvuldouR7eDpEn4Tu08Do0crBlU0HV2s6ulqxKSj2/km33pCXBtEnKt+wl5BhbsMoVhcjINz5rghLDQMkoa3HqSc+H52Op73Jg53nmNNShKnNeDB8DHXqx2ByVxe0lQq6/nqEdtMPcCAs8e4Fdt7wzlHo8BVc2QV/tIDAv+7UGjubOlPXqC67buyqEHtqCrsuxjNtZxi9PGqx7YO2jPBxoLGdMf2a2rLvIz+mD/RgfMcGhMZn0eO3oxy/llLVJstUEisDoqljpkfreuZ3T+Slw4Z3wMxR6jtcjTZZX0Rkp1im2rLj+g5S8lIY2XBkVZvyVHjbeGNvWI6cvozMS0jb+hYERKbeSUsGwMASmo2C4NVwK6rKbCtLUlY+M3ZfoW19Cw593J632jjyaTdXTn3eER8ncyavC2HW3nDUapEFhyM5ejWFT7q5SsIoEQfh8M/gOVT6qaY0dzQjJi2P1OyCuyfqdwSlrqxCXUk4GjvSw7EH3ep2o4llE4y0jAhNCwUkp/hR9cQ5JdoPTe1Nyl8girD3a0nsrQIjTFZGOmx5vw1f9nRDT1PJeyvOcS761t2LlFrg+zG8d1Jqu7ZtIqx6FbKT7qRQByYEkpL3cjh+ITfTmbgmiKZ1TJhZjqqwlZEOg73t+ahTA3aNcqCP3gWW/7uU2KtBUvaJzAtLZHI2AdfTGNLc/v7gxPZJkBUvaQFoG1SNgS8RslMsU6WIokhoaihzz8/lq+Nf8cXRL+58SW68uhFHY0da1WpVxVbKyMg8K+1dLCkoVt/fEqj1eECA49UjWjzvYAT5RSq+7dsQfW0lX/ZyZ2z7etgY6/DXG80Z2MyO3/dfpe3PB/h5Vxid3KwZ7uMAcedh3Rtg6SLVUlbjHX3PEjGwkNiMuye09CXHOHSbJOwi89z52fdnpvtNRxAE3MzdCE0LJaswi8zCzEdGii/GZqAWoUmdBzjF149IWQu+kyv8gdrJ0oDR7ZxY8XZLrAx1GL08kM1BsRSr7rluzOvBiM3QbZq0aTTPB0K30dmhMyIiB2MOVqhd1ZG49DzeWh6IhYE2i0Z4l18znJMCR2bArx7YLW/JD7nfs4ip2K7wQ5zuKLXhCVgk1YfLvFCsORODQkNgULN7BLZC/oOL66D952BXPQVbXzTkoiGZKqNYXcy7e98lICEAhaDAQteC5LxkzHXNGeIyhHNJ55jgNaHaimnJyMg8Pj5O5mgrNTh0JZn2LmVaMRjbQtNhcP4faDsRTMqpqaokilVqtgbH0cXdhnqW9zsRmgoNZgz0wMFMjxUB0Uwf6MGgZnYIMQGwYpDUauq1NZJzWY1pbGeMIEBITAb+Lve0xXDrA2HbIO6clAYrU2m4mbmxInQFYWlSCvWjnOKgkhT/25sc93FkBhjYQNMRFWpnWSwMtFn+ZgvG/B3IhNVB/LQjDBcbQ+qY6VHHTI+2DSxwq2UEPmOl/sgb3oY1w2jQdx72hvbsj97PIOdBz82+qkYURcavOk9+oYoVo1tiaXiPiFJhjtTG6uQfUJQDjn7SfdC6IUHRafyz8zCdNCPoGBuCVlhJGyuPIdDxazAuR6VYpkZRUKxi3dmbdHKzwspIp3TiVpQUJbb3ker0ZSoF2SmWqTJWha0iICGAD5p+wGDnwZjomDD58GTWha+74wj3cOxRxVbKyMhUBDqaClrVM+dwePL9k76TIXiNlOo5aFml23ab4xGppOYU0qfJg9NWBUHgg44N+KBjAymt8dgsSQTFpA6M3FojHlQNtJXUszQg5Gb6/ZPOXUFDU6pDlZ3iSsXNzI0idRHjD4zHVNuUplZNH7o+KCYdezPd8tVqY07DjaPQZSpo6tw/X4E4Wuize6Ivey4nsjU4jui0XIJi0snIK0KpIfBpN1dGt3NEsHKF0fthxSsI2z+iQ9tRrIjZQ1ZhFoZaho8+UQ1k7+VEAqNu8WP/xjhb3/Me02Ng1VBIvAAN+0P7L+4SHGxSBzKsmjPpv2AmpBXxrqeC0XpHMDq/CMJ3wfCNcgSxhrP5fBypOYVSttFt1CrY+I5U/jBgodRHXqZSkNOnZSoVURRJyUvhZtZN5p6fSzvbdrzd+O07rSpGNRxFdlE2yy4uw9va+5E1VTIyMjUHP2dLrqfkEJWac/eEsR20mQCXNkJU1Yk8bQ6KxVBHSXsXy4cvVBVLqW3z20itl9x6w9sHaoRDfBsPO2OCb2Yglogf3UHXBJz84PKWO8JIMpWDq7krAJoamvzZ9U8s9R5+HQbFpNPE/gE94o/OAl0z8H6jos0sFw0NgW6NbPhjmBdbP2hL8DddOPO/TnRys2bqjlDG/nuO3MLi0tZNumZ0vLiTYnUxR28erRQbKxuVWmTG7is4Wegz2Puee0PCBVjcAdKjYNg6aTOwHAV+P2dLdk9sxwAvW+YHF9MyoC3RQw+Arin800/a/JCpkajVIguORNCwthFty3Y1ODZLKnvoORNM61aZfS8jslMsU2lkF2bz9t638f/Pn+4buqMSVXzR8ou70qMbWjSkmXUzRER6OfWqQmtlZGQqmttp04eulBMtbjMBjGxh5yeS01nJ5Bep2HMpke6NbO7u31sWtQoCl8IcLykNVBCkh9mBf0kPqTUITzsTUrILiM/Iv3/SrTfcug6JlyrfsJcYRyNHJnhNYFm3ZTQwbfDQtYmZ+cRn5Je2OCvLrSgpktj8rSpN5bc01Gb+cC++7OnGnssJDJx/krj0PElgb+BSPFOiMNfQZl/0viqz8Xmy8nQ0V5OymdTFBaWizON2wgVY3gcUmvDWXmjQ+aHHMTfQZtorHuz/qD1KDYEvj+QijtoO+hZS26u0yOf8TqofGblF7L2cyJ5LCajVNXPzbm9oIpHJObzjV6/0OTjuPByaBg0HSGnyMpWK7BTLVApx2XGM2jWKswlnedfzXd5r8h6z2s/CzvD+yMr7Td7Hw9KDLnW7VIGlMjIyzwtHC30czPU4dCXp/kktPeg6VXpgDFhQ6bYdDEsiu6CYvk0eUMeZmwb/vgLbPgR9S3h1Fbx7XEp7rIG6Bx52xgDlp1C79AQEWYW6khEEgdGNR+Nk4vTItbfrict1is/+BYIGNKucKPHDEASB0e2c+HNUc6LTcun7x3HJdodWaHgOpWt6Gnuj9vLx4Y+Jy46ranMrjA3nbvLN5ou0cjKneyOb0omUa/B3X9DUhVHbwMr1sY9Zx1yPDzs7cyQ8md0xShi+XppY+SrkZ1bwO6iexKTlMnH1eZp+v4e3/w5kzD9nGTD/xJ0WejUFURSZdygCezNdety+PtRq6ftFzxx6ye2XqgLZKZZ5rqjUKv65/A/9NvcjJiuGuR3nMq7JOMZ6jsXXzrfc13jbeLOix4oXtsZIRuZlpr2zJSfvbc10G/d+4NwNDk6t9BZNe0MTMdbVpKWj2f2TWQmw2B+ijkPv32H0PnDtARo19yvUrZYRSg2BoJiM+ycNLMGhNVzeJKdQV1OCYtJRagg0rG1090RRPpz7G1y6SyJ21QR/Fys2vNcaHU0Nhiw8ybWkbOg0hQ+zChkrWHA45jB9NvVh7vm55BXnVbW5z8T2kHgmrQ2mVT1z/hzlXdpmJycFVrwi/f/IrWD26M2Pe3m9lQOuNoZM3XEZlYkjDP4b0iJg/VsvfOumi7EZdJx1mJ0XE3izjSOrx/gwc5AnN2/l0feP43yyLpi0nMKqNvOxWHv2JsEx6Xzg36A0i+D831KkuMsPNS7z6EWh5n6jy1R7rqRdYfiO4Uw/Mx1va2829t1IG9s2VW2WjIxMFdLexYr8IjUB19PunxSEknZGGrB1QqW1BVKrRQ5fScbP2fLuNEeAojxJDCc7GUbtgGYjX4gdfB1NBU3sTTh6tZxUdpD6LCeHwbWnS20VRZGzUWnlb37IPDNB0em41TK6v73P5c2QmwrNR1eNYQ/B2dqQNWNaUVCsZseFeDC0Qcd3Eu9FnmNLiyl0sO/AwpCFfHX8q6o29amJTs3ls/UhNLU34c+RzdHTKtGzLcyFlUOkDbaha6RWVU+BUqHBOP/6xKTlcTIiFRx9oft0uLoH9k2puDdSDZl/KAJtpQYHP27Pl73c8XEyZ2AzOw5+7McYXyc2nIvljb9OU1hcvdvJpWYX8OOOUJrXNWXg7TZMuWmw71uo0xoav7hq7E+CIAhtBUEIEAQhRBCEk4IguAqC4CQIwllBEK4JgvC/Mmu/Khk7IwhC3ZKxctc+DNkplnkunI4/zdDtQ4nLiWO673T+6PiHLJolIyODj5M5WkqN8lOoQRKr6vI9RB6stDTqkNgMUnMK6eB6T3siUYQt46X2RAMWgX3zSrGnsujoZs2luEziM8qJzHkMAeM6cOinJ44Wn76eRr8/jvPK/JNM+i/4fjEvmWdCpRYJuZlefur0ueVSBNLRr/INewxqm+jiaWdc+vlv8Q7oW1Hr5EKm+01nrOdYdt/Yzfmk81Vr6FNQpFIzfvV5EOC3V5uWblioVZIGQexZeGXJM99HOrtbY6SjZO3ZGGmg+VvSJsiJ3yFo5TO+i+pJdGouOy/GM6ylA7VNdO+aM9TR5Isebsx9rSnBNzP4cUdoFVn5ePy4I4ycgmJ+7N+4NItgx2QoyIQeM16ITdcKIgLoKYqiB7AImAR8CUwFXIA+giC4C4LgAPQvGfsO+Lnk9fetfdQJn9opFgRhuCAIBfeMVYinLlOzCUsLY8LBCdQxrMPGvhvp7thd7jUsIyMDgK6WAh+nB7Rmuk2zN8ClB+z7BuJDnrtNB8KS0BAkpde7OP8vXPgP/P8Hbi+e8F8nN2kTYH9oORsUSi3wnSQ9yF/b/9jH3BwUy9DFp0jOKqBvk9psvxDPv6cqNxX+RSciOZucQtX9TnFqhJTi33R4tU7tb+9ixfmYdCnVVUsP2n4I1w/DjWOMajgKK10rZpyZgVqsfhG/YpWa/KLyU3SXHrtOUEw60wZ4YG+mVzqx50up93e3nyQRu2dER1NBnya12XUxgcz8Immw2zQparx1wgupSP3nsUgUGgJvtKlb/gK1mm6G1/nV9TKqgEUs/vF9/psxlsAVUyg4vRyuH5GyfaqYExEprD93kzG+TjS43aLr0ka4uA78PgObRlVrYDVCFMV4URRTBMmBcAMuAX7ADlEUVcC2kn/7AztLxnYCrUoOUd7ah/JUd01BEEYAfYGkMmMV5qnL1FxuZt1k7L6xGGgZsKDzAsx0yqnPk5GRealp72xJZHIOMWm55S8QBOgzV2ops3Kw9LD/HDkYlkTTOqaY6muVDiaHS0rYddtBu0nP9fxVRX0rA+qY6bE/NLH8BZ6vSdHivV9J6Z+PYNP5WCauCcLbwZQ9H/kxe3AT/F0s+X5bKJHJ2RVs/ctLUHSJyFade5zioJVS6YHn0Cqw6vFp72KJKFKauu/9BhjYwOGf0dPUY7zXeC6kXGDKiSkk5pRem1GZURyOOfzQY+cV53Ey7uQzZydkFWYx5/wc5p6fy/bI7dxITWfsilM0XfgazZd348CVhLvWx2fk8dv+q3Rys6KnR63SiVML4NQ8aDkWfMaiFtVEZkRSpCp6JvsGNbOnoFjNtuB4aUChCYOWSwr+q4dVuibD8+RWTiH/Bd6kbxNbrI3u6bmtVksdAeY2g7+60+/GD3yvuYy3C/9hcM5KvK/ORnvHeFjeG3FmA/irB5xeDFkPuOc9RwqKVXy58SJ1zPT4oEOJunx6NGz7CGp7SZtDLx9KQRACy/yMKTspCMJ4IA7wAOYD+qIo3m6ZkATYAFZACoAoisWAQhAExQPWPpSn3UrcAbwKlC0WqjBPXaZmkpqXyrv73qVQVcjCTgux0X/k9ScjI/MScrsP8AOdMQB9cxixAYoLpPYlz6ntSFJWPhdiM+5OnRZF2PIBKHWktGmNB7RoquEIgkAHVyuOR6RKPWTvRakFvWdDUihsm/jQNOpilZqpO0Jpam/CsjdaYKCtREND4Oc+9alHNOsDX5yH9KrmfEw6hjpKHM3LtFtSqyB4FdTrAEbVu1TJw84EM32t0tZsmrrQ6j0pmhcfQu96vRnuNpytkVvptbEXYWlhAHx/6nsmHpzIrfxbDzz27LOzGbN3DGvD1z61fUFJQQzaOoglF5aw+MJiPjv6GQO3vcKRzGmgfwk0kxnz3yrmHriKWi0iiiI/bAtFpRb5pnfDO8cpurCO7N2fg2svMv0/5dezv9J5XWf6burLwK0DOXLzCCtCVzDr7KyHvqfy8LAzxtnagJWno0o3APTM4LU1oCqEv/tAZvxT/w6qE/+ciiKvSMUY33uEyW5FwfLepYrN/RfB+CCYHAH/S4Bv0gkacYlvHFcyouh/zGcghZlJsONjmOUKy3rBmSWSuFXe81evXnL0OpEpOfzQr5GUWl+QLelVqFUwYDEolM/dhmpIsSiK3mV+FpWdFEXxd6A2sBuYB9z7JSQ8YIyHjD+Qp/oLiKKYCtybEnuXpy4IwoM89ep9t5Z5bIrVxZyKP8WJuBOcSzxH+K1wFIKCxV0WP1ZLCRkZmZcTJ0sDGlgZsONCAqPaOD54oXVDeH2z9IC3pDMMXV3hdb27L0oRn05u1qWD1/ZBzCnoOavaOxjPSic3a5aduMGxqyl0aVjORmb9TlL6+MEfpL9HmwnlHufglWSSswqY2q8RuloKKYVz79dY3TzDTs1iEk9bIOq9i9BmPCi1H9s+lVrkj4PX2Hs5kYTMfEa1rss4//pP+3ZfCIJipHriO/WIAJGHIDNWUq6t5ig0BPycLTkcnoxKLaLQEMDrdak/a8ACNPrN49MWn/Ka22sM2TqExSGLGe81noD4AAD2Re9jkPP9YkSJOYmsC1+HtkKbaaen0ciiEe7mj5+ceCn1Er+e/ZVT8aeopV+L5d2W427uzorg/cwInIFCL4LPWnzGnPNzqVU3nJl7wjkfnU5WQTGnr6fxUWdn7M30SMhJYOa+CRxPu0iugx0ehhC1qS/pBen42fvxuvvrrAhdwbj94wAQENh5fSe/+P2Ch6XHY9kqCAJvtXXk0/UXOByefKcHPJYuMHyDdM/8uy+8uUtylmso+UUqlp+4gb+LJc7WZTqSJF+RNkuLcqWsoqbDy63FbVLPjib17IhM9mPQgpOsLRrO5jfNMIrYBhc3wPYyWUB65mDqKNXk3/6xb/5UKuH3kltYzOKjkXR0tcLX2RKKC2H9aEi6DMPWgcXLfU97GKIoioIg/AscArIEQdAp8SutkPzKdKT0agRBUJa8RCUIQnlrH4rwqBQTQRBGA/fKGLYpOeENURTrlqybjOTxzy75dxxgD9wURbFWydg7gK0oil/fc44xwBgApVLZbO/evY+yW6YKEUWRoNwgtqVvI6k4CSVKHLUdcdB2oKleU+po16lqE6st2dnZGBgYVLUZMjIVzpNe25uvFbLpWhGz2utiqvPwpCXd3Jt4hHyPVmEaFxp/Rbrp4z04Pg4/BuSRUyQytW1JDaAo0uzsJJTFWZxuMQ9RQ7PCzlUdKVaLjD+QS1MrJW97PMBZFdW4X56JVfJxIh2HE+1wv0Py27l8ItLV/N5GhfONf6gdv5t8bXMSrf0JybPAOOE4vooLZBnU47L7ZPL0apVzopLTiSJp+SLZRSIbrhYRnKzCxVSDfBXEZquZ1k4XC93Kq5mtTvftW/lqPjyUx4AGmvSpV5ru7xI2B8vk45xo/TdqhdZDjlA9OBVXzIKQAr7y0aGeiZSJ0SB8IbXi93DKZwmF2lJLms23NrM/cz+eep6E5IZgrDDGQmnBeJvx9x1zXdo6jmYdZZLNJBYnL0ZT0OTz2p+jKTz6M6wW1XwX9x2F6kLaG7WnrWFb9DT0EEWRn07nk5BbxKet8rHVsWJFygrO556nk/gta8NARwmDnLXwtVOiIQj8Ez2VEFUcnYu0Kbbw5WJBOPoa+vQx7YO9lj0ABeoCLuZdxF7Lnnx1Pn8m/0muOpevbb/GUPF47SiL1SKfHMnDXEfgi5Y6dwWqTG5dwCNkChnGroR4THnofaw6Xd/3ciimiGWXCvm0uQ5u5tJ1op8dhWfwV4iCBsGe35Gr/3jPnFdvqZh2Oh87Qw1GN9bGSBNu3IwmNyUGrbx46isScRASsFEnYCWmolESaEwzbUqsbU9Szb1AeLqsoT03ilgZVsj/WurgYqTC/fJ0LFLPEN7gXeJsuz/VMV8E/P39c0VR1C9vThAEZ+CaKIpqQRCGA72Rgq8HgE3ASeB1JKd4O9AC6Am8Joriq4Ig/HHvWlEUwx5mzyMjxaIoLgGWPMZ7i+cpPfWScPkiAB0dHbF9+/aPcTqZqmLJhSUsPbeU+ib1+dTzU3ztfNFR6jz6hTIcOnQI+fqWeRF50mvbvmE2G385TJqBI/3bPiRafBu/7rC8F03CZsAbO8Cm8dMbW0Jceh7huw4wqbMz7duX1HiFboPsCOg7D7+mnZ/5HDWBnqnB7LqYQKu27dBWPuChz9cXNr+HU8i/OGmlQYcvpcgxkJSZz4U9+5jlFk77kPmQmwI+49Dx/xwHbUNM84vw/mEf39aLYmjsT7Q8/xG0/xx8xkq1kCWIosiW4DgWHo7kcnwmAEoNmNNRm97aQRSE7eZSwS3UoXXx7jBAEmPTLUeBuYKpTvftf07eAC4xtlerUqEetQpOvwluPfDt2KUKrXt8PHMKWXRhL5n69rRv7ywNNraHOTtorRUK7b8AwD3XnUPrDxGUG0Rnh840MGnA/OD5uDV3w1q/NLvjZtZNTm46Sf8G/Xm99es0iGvAmL1jiLKIYnTjR7enOhV/itToVH5u9zM9nHrcGT8Qlkj4rUC+7+fJMB8HAHTidXh7z9v4+yl5p2dbTPU0MdGTNiKCD07htJjA+wpL3hm+U0oNfwBd6Xrn/9tltKP/5v6E6IfwP5/H16SdqHuDrzdfQqeOB63qmZeZaQ9OVphuHINfxnroN/+BqsbV6fouS36Rim9+PUJjW13eHdBGcvozYuHP90BHD0Ztp8UTtLZqDzi6JPLp+hC+PZmPWhRRi5bUMXPA292UC7mFJGcVYKCtJOlWJoqMG7xhEsxrxQcwu/gDmDhISt9NRzxR9L1IpeaLkwdpUdeMt7s0gLWjIPUM9PwF5+ajcX7i38xLQzfgPUEQ8oAEpOBpPrAVmAEsve3kCoLwF3AFyEFyngGmlLf2YVRkAvs+4ENBEL4GegBHS8b3Aj0FQdhUYujrFXhOmedIdmE2ZxPPYqxtTBOrJgBsj9zOb+d+o3vd7vzU7icUL2itnYyMzPOlnqUBbrWM2Bocx1uP4xTrm0tpZn92hn8Hwui9YPJsWSnbQuIA6O1ZkiKtVsPBqWBeX2pJ9JLQ06MWa8/e5Gh4Cp3crctfpFBCvwVg6QrHfoX5rcG+JdTvRGREChuUe/CIuA61m8KwtVC7yZ2XGulo4u9iyaxoTQa/dwzFzsmSeNf5f6D9Z+DeHzQ02BYSz6TVgXQyT+V/TVKok38Fm7QzaB6X6pG1azfF3NgI3YwzsGkvKLSl17eZ8MLWfd/LrksJOFnqU9+qTGQv+qTUm7gClI0rC1N9LZrYm3DoShIfdi5xC8zrgXM3OPMntP0INHWw0rOil1MvNl3bxCDnQdjo2zAveB7/XP6HVrVbUd+kPrqaury//320ldqM8ZB0elrVboW/vT+LQxbTw7EHCTkJOBk7YaJT/ibKhvANGGkZ0dGh450xtVpk+q4rOJjr8Wpz+zvjza2bY6lryR9Bf/Cxty51zduBWo24/zt+i1iBma4BIwZtfKhDfC+Oxo4MdB7IuvB1uJu7sydqD3YGdrzf9H2MtY0f+LrB3vbMPXCN77ZdZtO41ndvankOgVvXpbZq+hbQ+fsa1e5n1t5wolJz+eetFpJDXJAlCS/mZ8KbO5+q13Mnd2v2Ofgx79A1tJQa9PG0xcXm/si8KIpsOBfLpLV2pHZ4n/G2V+D0Etj7NRz8ERoNhOZvSgJZD/mdqtQiP+0IIy4jnzm+KljkD9mJUg2xx+Antv9loqSe+PdypnzKWTsXmHvPWHJ5ax9GhTnFoigmVJSnLlN13Mq/xeorqzkZd5KQ5BBUoqSl5mfnR7FYzPHY43hbe/ND2x9kh1hGRuaZ6O1Zi+m7rtDjt6MUFKsY4GXHq83tMTd4QBqvsa3kGC/tJjnGz1gvtyU4Dg87Y+palGRvXd4o1Xi98udLJXrSpr4FxrqabL8Q/2CnGKQ2P+0+gmaj4OxfUk3ewan4AMlaNtB7ITQeXG47oAFeduy+lMiuGCU9h66CKztg/3ew7k3Q+wTRoTWO4eFc0olEO6cQwpDUx+1bgO+HkrNkVAvT/CK6zjqMm/oaf9Q9gu7+b+HqXhi6qlKixlVJem4hpyLTeMfX6W5Nl9Ct0gZB/ZqV2eDvYsUve8NJyS7A4vZn3uc9qR72wlrwGgHABK8JNDJvRMtaLdEQNHA3d2f55eUsv7wcDUEDS11LUvNTWdhpIbUNSjUAPvb+mL6b+9J1vRSR9bLy4q9uf6Eh3H19ZhRksD96PwOdB6KtKL33bA6OJSwhi9+HNkVTUfoahYaCr1t9zY8BPzJu/zh8rL35Pj2XFYmnOGNixGfeH6Gna/rEv493Pd9la8RWvj7xNRa6FpyMO8nuG7uZ5juN1rVbl/saHU0FPw1ozFvLA5m99yqfdXe9e4Hfp5CTAifmSEJ5fp+CjtET21bZBN5IY/HRSF5rWYd2DSwl2zePk0T/hq19pkwhU30t/tfz4bXmgiDwSjM7jl5N5vdDN2g52peWb/SHxMtwZjEEr4Ggf8HYXtJdqOMDdiX1x4KAKIpciM3gl52XSIs8x3+1T+O1d6ukUfHmLrD1emr7ZZ4fj6wprmx0dHTE/Pz8Ry+UqXDOJZ5j8pHJJOcm427uTqvarfCp5cOl1EssClmEnlKPQS6DGOE2AgOt6ll/Ut2prmlKMjLPytNcmVZxMgAAIABJREFU24mZ+Xyw6jwG2kpyC4s5FZmGiZ4my95ocX8P1rLcOAb/9AfbZjDiySIytwlPzKLL7CN82dON0e2cQFUM83ykdN53j1frPq/Pg0/XhbD9QjyBX3aSlFEfA1EUefvPI5yOzmbnRx2wNXnw30GlFuk86zC6Wgq2fdBWcurUKsmhu7KDnGvHCM3Wx8y5FU5N/KS/rYlDuVGY0PhMBi04iZ2JDpvaxaCzY6L0QDpiw1NdC4+iuty31529ycdrg9nyfhs87Eo+H6IIsxtBLQ9pY6AGceFmBr3nHmPWYE8GeNlJg6IIC9pK/x17vNy/f2JOItfSr6Gt0OZk/En2R+1ntMdoejnd30t849WNhKaFoqPQ4a9Lf/Fd6+/o36A/AGcTzzLzzExyinO4nnGddb3X4WLmAkgpr/4zD2Gsq8nW99veLWpWQpGqiHVHpzDrxmaKAJUgMMR5MJ+1/BylxtNtqh25eYSEnAT61e/H9YzrfHHsC65nXOcXv1/wr+P/wNd9viGE1WdiWPZGi/v7ravVsP1DOLtM2mhqOlwqPbD1AqX2Q6/vgmIV8w5GEJGcTUae1EZKX0uJl4MJ9SwNyMsvoK6FAY3sK07MK7ewmB6/HaVYLbJroi8G2ko4+Qfs/gI6f/dAsb/nQXpuId1/O0p8Rj4tHc34tLsrXnVMIT8DLm+BKzvhxlEokMo90LOgQNeShPRctIqzMCcDLUEl1SK3fFfKbKkBmxKVhSAID6wprgpkp7iSuf37FgSBS6mXWBi8kLcbv01jy2evj3sSgpKC+P3872QXZlPXqC6RGZGE3wrH3tCemX4zcTN3u2t9kboIAeGpb/QyEtXl4UpGpqKpiGs7LCGTMX+fJTW7gMWve9O6vsWDF1/cIEUZXbrD4H+eOLI7ZcslVgZEc/LzDlJk+vy/UiRi8D/g3ueZ3kdN5Eh4Mq8vPc2iEc3KV6G+h2NXU1h+8gZ7Lycypbf7w1XES1hzJppP11/g7zdbSAqsJWTkFjFg/nE0BIHdE33LdUAeZO8n3Vx4zyKk9FoYsqLCNzSqy3179PJALsdlcPyzDqWR4thzsNgf+s6DpsOq1sAnRK0WafHjflrVM2fO0KalE7c/iyM2Qb0HO4JPdC5Rzahdo7iecZ0t/bago9Sh/+b+FKmKcDJxoq5R3btqebeHxDNu5TkWv+5N5/KyJ3JSYMdkuLSBCBt3ZtnXp5vrYHrXq9gU9oyCDMbuG8vFlItY6lpirGNMsbqY+ib1+cXvlzvXQU5BMa/MP0FkSg7zXvMqP+Mj9hwc/hmu7Qd1EWhogqULKcV6WDh5gGEtMLaTfvStKNDQ5ud1R0iLukwz/WScNOKxUCVjrEpDW52HHgVoC5KjnCvooWHpjI5jScTUvoUURX2KdO0pWy6x7MQNVr3tI9VJX9kFq18D1x7S/bmSU8AzcotYExjN0mM3SMrKZ1hLB8z0tcjKL8bcQAsjbQGDrEhqZ4Zgnh7Cjdg4NIA6trWxs6uDjn1TqNMKjB4sLviyUt2cYtnDqUTUoppx+8cRlBSEs6kzwcnBqEQVtfRrVYpTnF2YzYarGzgWe4yT8Sex0rXCycSJoOQg7A3teb/p+wx1HYqh1v31FZovuAKrjIxM1eNqY8Tad1sxfEkAw/8MYIxvPTQVAisDojHW1aR5XTP+18sNIx1NaDRAqqPc8TFsmyC15XjMh6W8QhXrz92kayMbySEuyJZSeW29a1RdZkXSqp45pnpSCvWjnOIlRyP5YXsoZvpavO9fnxGt6j7WOfo1tWX23qt8s+US/i5WWBtpo6etZP7BayRlFbDo9WaP5RAD+Dpb4utsydJjN3jz077odP8Zdn4Cx2dDu0mPPkANI6egmCNXk3mtRZ27U6fDtklRKJeap2CroSHQ3sWSPZcSKFKpS1OUGw2UajfPLKkwp1hD0OArn68YvG0wI3eNxNPSk9jsWJZ2XUpzm/vbvP17KgpbE927+5ffJj0GlvWErHjw/5J6bSfyh+L5PCMZaxuzqPMiVoSu4Gb2TTIKMsgqzGJv1F7OJ53Hy1pKw9XXVrLqbR9G/nWad/89y7CWdXjPvz7WRmVEUG29pD7G+RmIkYdIv3qanJvBFKZFoUy9jAnZd51bG/gaQAsoVoCpg6TjYNCUXEGPW2pNFNoGXE/OIiIqmnqJ0XilLkcZsEA6gIEN2HlLDrJdC0ln4BGZHCcjUll24gajWteVHOIbx2HtSCkT4iFiYc8TYz1NxvjWY2iLOkzbGcY/p6IQBNDVVJBbqCqz0hVwxcXakCUjvbE306t0W2WeDdkprkSWXVrGsdhj+Nv7k5ibyIAGA7iYcpHQtNAnPpZKrSI5LxlrPet7+0Xf4VziOWYGzuTb1t/SwLQB3578ll03duFo7MhYz7GMajgKPU35QysjI1N9sDbSYcN7rflhWygLDkcgCNDR1RpBgDWBMdiZ6vJBxxKl6BZvQ3YSHJkO+lbQ6ZvHOse2kDiy8ot5rUWJUNfxXyXxkyErapQQTUWiqdCgWyMbtgTFkV+kemAK9f7QRKbuCKV7Ixt+fbXJg9Wqy0FbqeDbvg2ZtjOMVaejySuSHigdLfRZP7Y1ng9LmS+HsX71GLr4FGvP3mREyzEQEwAHfpAEwOq2faJjVXcOhydTWKymW6N7NixCt0rvtYb2ou3a0IZ1Z29yIiK1NO1XU0dS+D3xu6Q2bGxbIedqYNqAhZ0WMunwJDZd20Sfen3KdYivJWVxMjKVyV1dpB7KZcmMg+W9IS+9pDa0WYXY9jAMtAx4x/OdO//OK86j438dWX1l9R2nGKRa2X9Ht+SnHaGsCIhm/blYto9vi4N5aSBOpRZZfyGTWXsNSMhsDbSmlr5AK+faBEXGI2bGYiukYEoWdQxF2jR2oXVLH6l/r7K01ZdeyQ+AJeCQmc+Yf85yKSaFQXaZdDOJwTb7AtbRwRiGbZMWaigl57hhP2njQ7+sWrbEvEPXqG2sw6fdXOHietj8vuSID1sP2o/Xqup5YaijydT+jfm0uyu6mgo0FRrkF6nIyi9GqSFQqFKTkVeEg7neE90XZaoPslNcSVxMucicc3Po7ND5rpSXaaenseHqBlRq1WMLVwUlBfFjwI+EpoVSx7AODS0akpiTiKaGJo0sGtHYojGaCk0mH55MbnEuc8/P5bMWn7E3ai8j3UfycfOPn+dblZGRkXkmDHU0+XmgB8N9HNDTVlDPUtIwGPFnACtPRzO2fT2Ut6NK/l9AThIcmyWl/7Uc88jjrzodjZOlPj5OZpAWKYnQNBoI9vc/IL9M9Gxcm1WnYzh0JYluje5O9QuITGX5yRvsu5xEo9rGzBr8ZA7xbbo2tKFrQxtEUSS7oJjkrAJsTXWf6lg+TmY0sTdh0ZEIhja3R9n7N4gLgk1jYdwZybl6Qdh1MQFzfS2a1y3j/CZfgZRwaPHoa7660q6BBfpaCnZeiL+7Ftb7DTj+G5xbLn3GK4gWtVqwutdq/rvyH280fKPcNf+eikZTITCkjOI0INXA/zdSSp1+fVOlOMTloavUpW/9vqy+spqUvBQsdEvLTIx0NPlpgAej2znRZ84xpmy5xNJRzREEAZVaZNiSU5yKTMOrjgkfdm6Ad10zoi+ewd+/CaLoSUZeESnZBRjqaN4dZX4E1kY6rBnjw/xDEey+lMCqi2aAJwBuhvlMdM3AXRVG7eQjKHZ+Avu+ldobtf3wzoZOYmY+x6+l8JFvLXT3TIbAP6W040HLy3WgqwojndKsAB1NxV0biE/yO5OpfrxcSiKPwZaILXxx9AuSc5Mr7Jg5RTl8cuQTLPQs+KbVN3dFdt3M3MgrziMqK+qx7RuxcwSp+amMazIOWwNbgpKCAMgqymL55eVMPDSRcfvHYalnyWDnwRyIOcCPAT8CMMytZtUcycjIvLw0tjO+4xADjPBxID4jn32hiaWLBAF6zgKXnrDrM4g4+NBj3kjJ4Vx0OoO97RFURVItqkIbOn/7vN5GjcHHyQxzfS22hcTfNX49JYcRf54mIDKN11rWYemo5uhqPVskRBAEDHU0cbI0eOqoiiAIvOPrRExaHkevpUiRpJ6/QHo0nF74TPZVJwqKVRwIS6Kzu/XdkcvQrdJ/XXtWjWEVgI6mgo5u1uy+lECxSl06YVpXUvU9uxxURRV6TlsDWz5s9mG57ZmKVWo2no+lW6NapYrYtzkxB26ehl6zpbTgKmSwy2CK1cVsvLqx3Pl6lgZ82NmZg1eS2XNZul+uPB3Nqcg0pvR2Z/3Y1gxpXod6lgZ3nkkFQcBET4v6VoZP5dzpaCr4sLMzuyb6EvxNF4K/6cLqMT5omdjwzhlr2p3zo+WtHzjXY4d0zZ6cC3O84PRiyEpk15kwXtfYxbshgyFwKbR6H0ZuBcOHKOLLyFQgcqS4DH9f+psZgTMAOBZ77KEy+E/CjwE/3qldubff3G1Bq9DUUPSUeqy/up63Gr2FjvL+G9LhmMN8ffxrWtZqye/+v5eb+lygKuBK2hUiMyJpa9sWTQ1NtkVu49DNQ3Rx6EItA7nQX0ZGpmbS0c0aWxNd/jkVdXckU0MBAxZJPYzXjoI3doJ1+S03tgTHIQjQx7M27JsCcedhyL+SuMxLjrIkhXrDuVjyClXoaikQRZGvN19EW6nBzontsDKsXpGQjm7WmOppsi7wJv4uVlINaoMucGQmNBkm9Wet4Zy4lkp2QTFdy0udtmsutXmpwfRobMOW4DgCrqfRpqy4XvPRsGoIXNpYaT1dz0bdIiOviB73/q6TQqUe5m59oPHASrHlYTgaO9KyVkvWhq/lzUZvlptpOLJ1XdadvcnnGy6QV6jilz1XaOVkzsjWdR9YdldRGOtK0VQfJ3M2vdeaxMwCriRm8cO2y7yyMZ0ve37BW20nSmJlOz6GHR8zHA0UmmqwaAnd10o9z2VkKpGXKlKckJPA1oitbInYwpqwNSy9uJSk3CQAdl7fyYzAGXR26My63usw0THhmxPf8Czq3NGZ0fzv2P/YErGFMR5jaGZ9f6qNk7ET2gptQlND+f3c7ywIXsDMwJmAJIyVVZgFSPXBkw5PwtXMld/8f3tgLbC2QhsPSw/61e+Hha4FxtrGDHUdCsBw9+FP/V5kZGRkqhqFhsBwHweOX0vlu62XKSwuE1nSNoBXV0otlZZ0hKBVUluXMoiiyKagWFrUNaP2hflw6g8p9fQlFdcqj54etcgrUnHwivTduONCAkevpjCpi3O1c4gBtJQa9G1iy97LiaTnFkqDnb+Hwhw4OqtqjasgDoQloa+loHW9MimkadchPghc729DVNPwc7ZCV1PB9gt3ZyjQoAtYuUsbHGp1+S+uYA5cSUJTIdC2QRnnXBQl501LX4oSVxPdgVddXiU+J56jsUfLnddUaDD3NS+sDLWZuCaIrPxivu3b8Lk7xPciCAI2xjr4OVuy+f02dHW34fttl9kcbwKjtsObe0hqPYUFxb3Y4rMa3tojO8QyVcJLEylOz09n2PZhJOUl3TUeEB/A3A5z+e3cb7iZuTHddzpKDSVvNHyDr098TVha2H3tiR6HoKQg3tj9BgpBwQj3Ebzj8U6565QaSpxNnTked5wbmTcw0zFjzZU1qEQVu67vQiWqGOY2jDVha6ilX4t5neahr/lk6uXvNXmPNrZtaGol32RkZGRqNm+1dSQxM5+lx69zPuYWS0c2x1S/RADGzBHeOQrrR8OmdyWhlm7TwKI+AJfiMolNvsVci0Owfxk0HgRdf6qy91IdaelojoWBFttD4una0Ibpu8Nwq2XEcB+HqjbtgQzytmPZiRtsCY7j9VZ1wcoVGr0C5/4G/8+rXKDnWTkfc4umdUzvTjMPXg0I1SJq+azoainwd7Vk3+VEfujbqFSBXENDUhJf/xaEboaG/Z+7LQfDkmjhaIZhmbpRwrZJvWh7zKxWmQft7dtjpWvF6iuraW/fvtw19a0M2Px+GxYejsRMXwtna0NyinIYt38cg5wH0dOpclPv9bSU/Da0CSOXnubjtcGY6GnRrn4LJu2FM4Irx9t2qFR7ZGTK8lJEikVRZMrJKaQVpLG4y2J29N/BgUEHmOw9mRNxJ5hwcAKx2bF80PSDO314fe18ERA4FHPoic+nUquYGjAVcx1zdg7YySfNP3lof183MzeupV+jWF3Mn13+xN3cnXXh6/C08qRlrZYsubAEXU1dFnZeiJnOkytMaim0ylVYlJGRkalpaCk1mNKnIfOGeXEpLpOhi0+RnFVQusCoFozcAl2mQvQp+KM5LOsFh34mddu37NX+BPfry6DZG9B/4RP3N37RUWgIdG9Ui/1hiWw6H0tUai4fdKhfKmxWDWlY2xi3WkasDbxZOtjyXSjMgqCVVWdYBZBfpCIsPgtP+zKlV6IIwavA0feFSfvv5GZNUlYBF2Iz7p5o2B/MG1RKtDgmLZfwxGwpDf82Rfmw50spYt2sfGGuqkKpoWSgy0COxx4nJjPmzrhaVBOTGcP+qP3MD5rP5oj1jO/Y4M7G1p4bezibeJavjn9FcHJwpdutrVSwcIQ39a0MGfN3IJPWBnP0agpf9XKXWuTJyFQRL8XTwKZrm9gfvZ+PvT/Gp5bPnfFhbsPYfn07R2OP0tSqKW1tS1s4mOua08SqCQdjDjK2ydhHnkMURQISAihWFxORHkFYWhgz/GZgqWf5yNe6m0u1b752vtQ3rc+CTgu4nnGdplZNEQSBwIRAbA1s5XpgGRkZmRJ6NK6Fsa4mo5cHMuqv02wa16a0z6mGAlq/L0WCA/+UahIP/YgfEKfjBIMXVVj/0xeRnh61+OdUFF9tvoiDuR5dH9G3uDrwanN7vtlyiXPRt/CqYwp2zaS+0wELofnbUtSxBnIpLoNitYinXRlRqOiTkB5VoarMVY2/ixUaAuwLTby7NZeGAnw/ho3vQPjO5yoqdrtk4K7exKfmwa0bMGJTtdxAe6XBKywKXsSALQMw0jZCpVaRXZRNgap0o1BAwM/OD2t9SbBqa+RWbA1sERCYcGACrXRaYZJkQhOrJpVmt7GuJitGt+S1xackYbOGNqUt8mRkqoia+S3xBGQWZjL77Gy8rLwY4T7irjmFhoKvW31NXaO6fNTso/vqLNrbtyc0LZRd13cxaOsg9kftL/ccMZkxjN03lrf3vM3YfWOZGTiTFjYt6OrQ9bFs9LbxRlepy5uN3gTAVMcUL2uvO/Z423jLDrGMjIzMPbSpb8HsIU24FJfJ/EMR9y8wtAb/L8h/5xQ9jNbTUvkfOh+ckh3iR9C8rhmWhtrkFqoY3dbx/l6t1ZCBzeww1FGy9Nj10kGfsZAWARHlf3fXBM5HpwPQpKyjGLwKNPVfiHri25jqa+HtYMa+0KT7JxsNlPrkHp5+n05ARbL3ciJ1zfVwuq14n5UAR3+RlO2r6T3DSs+Kab7TGOQyiDa129ChTgdedXmVb1t/y6qeq1jXex0iIjuv7wQgLjuOMwln6F+/P3M6zMFc15xt6dsYsXMEEw9OJDEnsdzziKL4wLmnxUxfi5Vv+zC5qws/v+JR6bXOMjL3Uv22vZ6B2OxYpp+ezoAGA/Cz9wNgUfAi0gvS+azFZ2gI9+8BNDRvyNb+W8s9nr+9P7PPzmbykckATD8znXZ27dBSlDYw3xe1jy+PfwnAJ80/ob5JfS6kXKCXU6/H/oA7GDkQ8FqAfEOQkZGReUK6NbKht2dt5hy4SpeG1rjaGN01n5iZz+R1IVxOKmD5my0wk9PzHolCQ2BAU1s2BcUysJn9o19QDdDXVvJqc3uWHr9BXHoetU10JaVgAxsIWAANOle1iU9F8M0MahvrYHW7RU5+BlzcCO59JXG5F4hO7lb8uCOMm7dysTMtIyaqUEK7j2DLB3B1Lzh3qfBzx6TlcuxaCuM7NCgd3P89FBdAl+8r/HwVSde6Xela98FBGA8LD7ZFbmNUo1Fsi9wGQK96vbA1sGV9n/Vs37+deKt4FgQvYMCWAczwnUFrW6nzSnp+OlsitrDu6jquZ1zn29bfMqDBgAqz3Uxfi3H+9SvseDIyz8ILEyk+n3Se17a/xoGYA0w6PIng5GBOxJ1gRdgK+jfo/1RiWY7GjrSu3ZpOdToxw3cGcTlxrAtfd2d+QfACPjz0IU7GTmzss5ER7iNoVbsVYzzGUNvgyVokyA6xjIyMzNPxbZ+GGOloMnltCMUqNQkZ+UxcfZ7hSwLoMvsIp6+nMrV/I/ycH13OIiMxuasLBya1f+Z+xJXJyNZ1EUWR5SdvSANKLWj+FlzbBylXq9K0pyYo5hZN6pSJEp/7R6qVbjmm6ox6TnRyk9J795cXLfZ4FYzt4fDPzyVavOp0NALwaouSTaDYcxC0Qso2MK9X4eerTHo69eTKrSvsjdrLmitr8Lb2xtbA9s68vkKf0Y1Hs77Peqz1rRm7fywfHPiAMXvG0GFtB2YEzsBQy5DGFo35KeAnrt6qmZ8lGZlH8UI4xXnFeYw/MB4DTQOWd1uOlZ4Vo3aO4p2972Cpa8kHTT946mMv7LyQ2f6z6Vq3K82sm7EoZBGBCYHMOT+HP4L+oLdTb5Z1WyanN8vIyMhUEWb6WnzfrxEXYjOYvS+cN5edYfelRPKKVLSpb86O8e0Y1rL6qidXR5QKDfS1a1YymZ2pHh1crdgWHF/aTrHZKFBowelFVWrb05CaXUBMWl5pPbGqWIp6O7R9IVvWOFka0MDKgC3BcfdPKrXAdzLEBsLlzRV63sJiNf8FxtDRzZpaxrqS073rc0lp2ndyhZ6rKujm2A2FoOCjQx9RpCriw2YflrvOwciBf7v/S596fbiRcYPMwkwGOg9kfZ/1rOixgt87/I6+pj4fHPiAhcELuZR6qZLfiYzM86VmfeMBV9KusPP6TkY2HImpjikAOyJ3kF6Qzuz2s/Gy9mJ+p/lMOz2N9nbt6degH9qKZ0+XEwSBiV4TeWv3W7yxW1Ig7F+/P1NaTyk3LVtGRkZGpvLo0bgWPRrb8MfBCBQaAktGet+tIivzUuDvasW+0CQiknOob2UABlZSe6agldDhS9AxfvRBqgnBN6V64jvCU6GbISMGuk+vQqueLwOb2fHTzjCuJWVLf7+yNB0uCaft+wZcuoOyYkoh9lxOICW7kNdalgg9XVwPMaegzxzQMXr4i2sAZjpm9K3fl6jMKH5q+9NDgzh6mnp836b8dHELXQtmtZ/Fdye/Y27QXOYGzWW423AmeE1AR1n9epjLyDwpNcqb23RtE8N2DOPPi3/yypZXOBV/ClEUWRm2EmdTZ5pZNwOk3a75neYzxHVIhTjEt2li1YQ9A/cwr+M8fvH7RXaIZWRkZKoR3/VthKe9CT8NaCw7xC8pvg2kFPkj4cmlgz5joTAbTsytVFuWHb/OoSvlpAI/JhduZiII0MjWWIpeHv8dzOqBc7cKtLJ6McDLDoWGwNrAmPsnNRRSfe+tG5JzXEGsDIjGzlRXunbyM2Hv12DjAU2GVdg5qppvW39bIVmNXtZebOq3iWOvHmOo61D+Df2XoduHEpkRWSF2Hrl5hJlnZpZmepQhNDWUPpv6MCtwFkm5T/+5kpF5EE/l0QmCMFYQhFBBEC4LgjC+zPhXgiBcEwThjCAIdUvGnARBOFsy/r+nNXRd+Dq+Ov4VnpaeLO6yGAMtA8bsGcPkI5MJvxXOa66vVUpdrrmuOe3s2tGlbhfZIZaRkZGpRlgYaLN5XBsGe9cMcSiZisfeTA8nC32OXC3jFNfyhIYD4MQcyCwnNfc5cCoylSlbL/PW8kC2h8Q/1TEuxWXgaK6PgbYSwndDfBC0/bDGtpd6HCwNtengasX6c7EUqcrpS1y/IzToItUWZ9y8f/4JiUjO5kREKkNb1JFU1vd9A1nx0Gu25ITLlIuxtjFftPyCBZ0WkJqXytBtQ/ny2JfMODOD6Mzopz7unPNzWH55OWuurLlrvEhVxJfHvyQxJ5Hll5fTb1M/UvNSn/VtyMjcxdPeWaMAL6AZ8JEgCMaCIDgA/QEX4Dvg55K1XwJTS8b7CILg/qQnO5d4jqkBU2lduzULOy/Ep5YPa3qt4RXnV9h9YzdGWkb0cOrxlG9FRkZGRkZG5kXB19mSU5Gp5BepSgc7fQOiCg5Ofe7nV6tFpm4PpZaxDl51TBi/+jy+0w/iP/MQKwOiUasfTyjqUlwm7rWNpCjx4Wlg4gCer/6fvfMOc6M4//h3Vjr7zt3Y595w4bCNewdjZHqxTUgBklBDAgHCj04ILZRA6IEAoYSemBogNBuCseWKce+917N9Z599/U678/tDt5LubqWdlbaMpPfzPHmCpb3d0e7szLzzvu/3dbj13nPJyO4oKqtGcOMh4wPOfwrgGvD1HSmLbr3/4y74FYZfjOwGbJ8DLHkTGHsD0G1kSufNFk7pego+mvwRRnYaiR8Lf8T7G97H5dMvTyrfeNORTdhweANaNmmJZ5c+i53Hdka+e33169h0ZBMeP/Vx/Ou8f6G0tjRSZoog7CIpo5hzPo1zXsk5rwRQDKAlgIkApnPOVQDTAYyrO/w0ANPqPv+q7t/C7C7djVuDt6JL8y54csKT8CvhNOg8fx7+PO7PePnMl/Fs4Fnk+fOS+SkEQRAEQWQQE05oj6paDUt2HIl+2LYXMPpaYPlUYOtMR6//+cq9WL33KO48pwBvXz0aV4zrieE92qBtsxzc89lqXPbGj6ioCSU8R0lFDfaWVGJgl9bA5v8B+5YDE+4AfDmOtl0GAgX5aNe8CT5fsdf4gLa9gIn3AJumA2s/Tfo6VbUq/rNsD84Z2AkdavYCn/w2XA95YtJBjVlJp+ad8NIZL+G7n3+HT6d8ilxfLq7+5mpcP+N6PDD/AVw+7XLcPPNmlNWUJTzPV1u/gp/58dY5b8Gv+HHn7DtRUVuBpQeW4rVVr+H848/HxB4TMTh/MPof1x9fbP3CpV9IZAspxeAwxvoB8HPO9wDoAKCGWV2JAAAgAElEQVQIADjnIQA+xpgPQHPOeVXdnxwE0En0/EWVRbjuu+ugchUvnP4CWjdtLJAxvut4jOk8JpWfQRAEQRBEhjC2dzs08SmYu7mBpzHwJ6BDf+A/vwnnpTrAkfIaPPr1Bgzq2ho/GdoVzZv68efJA/HcpcPwyfUn49GLTsIP24rx0BfrEp5n3b5jAICBnZoBMx6s8xL/0pE2y4bfp+Dckzrh+/UH428ejLke6DoS+PwmYP9Ky9fQNI6/fbcJJRW1uPokP/DuhYAWAn71IdCkmfkJCEN6te6Fd897F2f3PBuHKg5hzp45UJiC2Xtm4+ZZN6NarTb8O1VT8dW2rzC+23gUHFeAx099HBuPbMStwVtx66xb0a1lN9wz5p7I8VP6TMH6w+ux5cgWt35axrLr2C786utf4dsd3wIAjtUcw/y98w3zut2EMdaNMTatLlV3DmOsS7yUXLvSd5nZj2aM/RbAbxt8fAoABmAmgIc55zMYY3cCCHHO/1b3d/sAdAewh3Peue6z6wB05Zw/0OAa1wK4FgByu+eO+P3zv0cT1gQLyxaiVCvFTR1vwvFNjxf5PQQhNWVlZWjRooX5gQSRZlDfJmTiLwsroTDgnjH1o8hyK/djxNLbUd00H8uGPwHNZ66aa6Vvv7KyCosLVTwwLhc9W9XPSVXUGrQpWY1dOzZhzWGgf/dOaNvvFGi+Jo3OM317LT7cWIMv+s/G4O2vYs3AP6Io/2ShNmQCGw6reHxRFa4f0hRjOhsXSmlSfRjDl90JxjWsHPIwKpqLaQnUqByvr67GokIVt+Qvxw2Vr0DhKlYM/QvKWqZ3TeJkcGPsXly2GO8Wv4tuTbphXItxGNV8FPKU6Lu5vnI9/nHwH7im/TUY2nwoAGD2sdn4z5H/oJnSDLd3uh0dcqLiiaVqKe7bcx8mtpqIyW0mo7C2EBurNqIgtwBdm0RrMNdoNdhRswMn5J7g6O9LV46EjuC5wudwWD2MHJaD6/Kvw3+P/Bd7avfgzFZnYkqbKaZ6TZxzFIWKwMHrPSMRJk6cWME5b270HWMsH0B/zvkcxthNAHoAaIdw1PHnABYAuBpAOYDPAIwCcD6AyzjnlzDG3mx4LOc84W6kqVEc9w8ZewHAAc75X+r+fVld4+9ljPkB7OScd2WMbQIwmHNexRi7H8ARznlcCci8znm84IkCaFzDiI4jcMPQGzCq06ik2kgQshEMBhEIBLxuBkHYDvVtQiYe/nId3lu0E6sfPAc5vgZBcVtmAFN/AQz4CfDzNwGTRZ9I39Y0jnd/2IEHv1yH2846Af93Rr/ol1XHgAV/Bxa+AtSU1v+7vOOgjL4WOPkmoGnUMLnlg+VYs3UnZvhvBToMAK76yrSdmYSqcYz76/cY1qMNXr08QX7vgbXAW+cB1WXA4Iuhtu6JTQdKUVRWg5LySlSVH0Ozpk0w7MTe6NKpCyp8LfD+rOXwHd6Cya23ol35lrDS9M/eAPKz03Bya+z+attXeGP1G9hSsgUD2w3EW+e+FUl9fHDBg/hmxzeYfcnselVjvtj6Bfq26YsB7RrLEd34/Y2Ys2dOvc+GdxiOd857J/Lvl1a8hFdWvoIPLvgAA9sPdOiXpSfHao7himlXoLCiEE9OeBIPLXgIBysPoqmvKcZ1HofgniCuGHAFbh5+M5oYbNzVqDV4Z+07+Pf6f+Nw1WEAwNk9z8atI8KefREYY3GN4gbHTQZwIcKpugNjbMoiAJUA+sXYn9s45z0YY1sbHss5fznRdZKqU1znPW7HOb8p5uMZAG5ljD2AsKU+t+7z7wBcwBj7L4DJAK5IdG5+hGPmxTOhairym+Un0zyCIAiCILKYId1b4835GjYdKA3n5cbS90zgjAfCYckdBwAT7kzpWntLKnHdv5Zgzd5jOLlPO1wfiPE2rv0sLAhVURQ2woddBvQ8BRsOlOKhl9/BI8fNQ9/ZjwNL3wJOvx8Y+itA8WHbvoN4wfcsUFUCnPvXrDKIAcCnMFwwuDOm/rgL2w6VoXd+HE9mx4HAH5YCc58BlrwJn1qN/nVfaWCoYblArYrcJTUAgGYArgGgNmkKX8dxQL9rgFG/BfyNF/2EvUzqPQmTek/C9zu/x22zb8Pdc+7Gs4FnAQCzds/CqV1PbVRGdUqfKXHP96fRf8LoTqNRFapCfrN87Cndg3+u/ic2HdmEE9qeAM45vtz6JQDgg40f4JH2xvWXswmNa6gKVaGJrwnunH0ndpbuxGtnvYZRnUbh2YnP4tGFj+KWEbdgbOexeOzHx/Duuncxe89s3DXqLkzoNgG7ju3CM0ueQUl1CQ5UHMDesr04rdtpOK37aThQfgDvrnsXm0s247Mpn8Fnr3r7LwB8CWBSg5TcLgh7iiPpu4yxeOm7XcwukpRRDOAlANsYYyvq/v0s5/xdxthbADbWNXBy3XcP1v2QpwC8yTnfYHby43KPS7JZBEEQBEFkO8O6twUArNhd0tgoBoBTbgl7GWf+BdBU4LQ/Jm14vjF3OzYVluH5S4di8uAuUBQGqLXAf68HVn8MdBkG/PpjoOvwyN+c2L0Z2gw4AxdtHoIFl/0RLWf/GfjiD8CPryLU8xQ8WPI9CpStwE9fAzoPTqpd6c7PR3TD1IW7cPozs3FK33Z4/YpRyGtisNBukQ+c9ziKxz+I8U/OwhkndsBzlwyF36cglzGUVYfw6tz12LNvH1B5BBeMHYSxg/pndGkrmTmj5xm4a9RdeHzR43hn3TsYmj8Uh6sO44weZ1g6T7eW3XDlwCsj/z5SdQTvrH0HH2/8GPeOvRcrDq3A3rK96Ny8M6Zvn447Rt5hqE0kG6U1pXhmyTM4XHUYz098Xrjc7KL9i8DBE+osPfTDQ/h086do07QNSqpL8PDJD0eicYfkD8FHkz+KHHvf2PsQ6B7AE4uewI3f34ixncdiTdEaMMZw4nEnomernrhv7H0Y33V85G/6tu2LO2ffiZm7Z+KsnmeJNNvPGFsS8+/XOOevxR7AGDsf4dDp/wD4e4O/ZwAahjzrNyze5/EbY9pcAzjnTeN8/iKAFxt8dgjA2GSuQxAEQRAEYZXux+XhuOZNsGJXCX49pmfjAxgDfvIK4GsCBP8KHN4OnPc4kNfW0nU45/h2bSEmnNAeFw6ty2XUNODzG8MGceAe4NTbAV/j5dbNZ/bD9DWFeHlrO9x1zXdhJeU5TwPL/40TWAirRz+BIYN/kczPzwgGdmmN4J0BfLB4N/7+/Wb8d8Ve/HJ0j7jHvzF/B6pCGm456wT4/VHjuUVTP647cxCAQS60mhDh1/1/jYX7FuK1Va8h0D2AHCWnnnGVDG1z2+LsXmfjy21f4tYRt+LLrV8iz5+HJyc8icunX47/bvlvPSNaRhbuX4j759+PwvJCAMCiwkUY03kMKmorkOvPhcLCGzmqptbzxFaGKnH77Nuhaiqm/2y6ofG/aP8ifLr5UwS6B9DM3wzDOgzDRf0uStie8V3HY8yUMZi6fipeXvky+rTpg6dPexpdWhg7Xc/qcRZ6tuqJ11e/jjN7nCli0Ic453HzIxhjfQE8DuAczjlnjJUyxnLrPMAdEPYAlwDhAJG68GnOOVfjHJsQ2iYjCIIgCCKjYIxhSLfWWLmnJP5BPj8w5UXgtLvDBuxLY4B11sq8rN57FHtLKnHuSZ3DH6i1wFe3AKs+BE6/Dwj80dAgBoATO7XCRcO64tU527Bw+2HgpJ+BX78Alx73MSbm/Bt9z/iNpbZkIl3a5OHWM/thQOdWeGv+9riKuEfKa/DOgh24YFBn9O3Q0uVWEslw+8jbUR2qxtfbvsaYzmPQoknqYl8XF1yM8tpy/O5/v8M327/B6T1Ox9AOQzG8w3C8t/49w7JQRZVFeHzR4/XqIrtNrVaLx358DL/73++Q68vFW+e8hTZN2+DDjR+iqLIIF3x2AS796lJsK9mG55c9jzHvjcFLK16CqoVrsX++5XOUVJegtLYUr69+vdH5a9QaPLLwEXRr0Q1PTXgKT0x4ApeeKFbzPMeXg6tOugqzLp6Ff5//77gGMQD4FB+uHng11hWvwz9W/gNfbv0yYuBbhTHWEsD7AK7knO+v+1hPyfUhHJE8o+5/59Z9ZpS+G3tsQsgoJgiCIAgi4xjSvQ02HyxDaVVt/IMUBZj4J+DaWUCLDsBHlwMfXgZs/AaoTGBQ1zF9TSH8CsOZ/TsA5cXAvy4Clr0T9g6feofp3z984UD0atcMN05dhh1F5fh27QEs2XkEt51dgOZNk81wyywYY7j6lF7YdKAM87cUGx7z5vztKK9R6wucEVLTq3Uv/LJ/uMyY1dDpeAzNH4r7xtyHYzXHUFpbiov6hj2h/zf8/3Cg4gD+vODP9TZWqtVq3DzzZkxdPxWXfnUpZu5ytoZ5PD7a+BHe3/A+Lut/GT6e/DFGdhqJi/pdhJm7ZuL24O0orSnF3rK9uPDzC/H66tfRu3VvvLLyFVzzv2uw4+gOvLP2HQxuPxhT+kzBe+vfq2eIcs7x2I+PYcexHbh37L3I9Zsr7hvRLKdZxFOdiMl9JqNri654ZeUruGfePTjnk3Nw/Yzr8eGGD7G+eD02H9mMgxWmTlsA+AOAvgDeYoytYIwtQDgl904AmwF8wTnfwDkvBKCn7z4C4K66v290rNkFk1afdorc3FxeVVVlfiBBpCGk0EtkKtS3CdkIbjyIq95ajPd+OwYn921v/gdqbVglevZTQKgy/FmrbjjYtCc6XPgI0G1EvcM55zj9mdno1jYP/5rUAnj/l0BpITD5eWCoeE3hLQfL8JOX5qOsOoS8HB+6ts3DNzefCn9D1ewspqpWxSmPz0RBp5Z486pRyM2Jho4erajF+Cdm4tQT2uMfvx6R4CyEEV6O3WU1ZZi6fiouH3A5muXYVx+ac46DFQfRsXnHyGdvrnkTf1v6N0zoNgEKU9C6SWsUVRVh/t75+NPoP+GLrV9gXfE6PHzKw7iwz4UI7g6iRZMWjlfAqQxV4rxPzkPvNr3x5jlvRj7fU7oH5396Pjg47h59N07vfjpeXPEiTu9xOs7ocQa+3PolHvvxMVSEKqBxDX8L/A0D2w3EpM8moV1eO1w+4HKceNyJmLFzBt7b8B6uHXwtbhp2U4KW2EeNWoOS6hKUVJfgm+3f4OttX2Nf+b56xxS0LcAnF34ipD7tFmQUE4SLkOFAZCrUtwnZKKmowci/zMCvxvTAwxeeJP6HtZVQdy/GjhVBqAfWo/uhOcjTyoCC84HznwZah3OHNxaW4pzn5uDtcQcRWHMv0LQlcOlUoFuCEkJx2H24Ap+v2It5W4pwy5knYGzvdpbPkem8MW87HvlqHXq2a4ZHfzII4/uFNzqem7EJz83YjGn/dyoGdGnlcSvTj2wZuznneHjhw5izZw5aN22NI1VHcLjqMG4ceiOuHXwtqkJVuHnWzfhh3w8Y1H4QVhWtQp4/Dx9N+gi9WveyrR1bjmxBtVaNge3CJaLeXvM2nln6DN459x0M7zi83rEP//AwKkIVeGz8Y4Ze2gPlB/DE4idQUl2Cf571T/gUHxbtX4SXVryEZQeXRY771Ym/wt2j7xYW7bIbzjl2le7ChsMbwMCwt2wvgruDePf8d8koTgQZxUQmky2TD5F9UN8mZORPn67CJ0v3InhnAF3ahGui7iquwM7D5Ti1X/2yj3tLKtGpVS58CsNDX67FW/N3AACaoxL/O2UDuq58EfDlABPuAIZfiRe+3wh14au4xf8J0GU4cOl7QKvObv/ErGL+liLc/9812F5cjhsCfdC2WRM8N2MzTu7TDq9dYX0zgsjusbtWrUWOLyfyb90wXnloJX476Ld4e+3b6N6iO949/13kKDkJziRGYXkhfvbFz3Cs5hh+2u+naJ/XHu+vfx+D8gfh1bNeTfn8sWwt2YriymLk+HIwJH+IUOiz24jWKXYLSlghCIIgCCIjuXFiX/xn6R68OGsLHrtoEOZuPoQbpi5DaVUId55TgBsCfVBSUYvHp2/Ah0t2Y2JBPq48uRfemr8DvxzdA/93Rl+c9+ws3LhrIj79/a+gTL8d+O4B8Jl/wU1qTXgVNfiScMh0Tp7XPzfjOaVve3z9f6fiz1+swUuztgIAxhx/HO6fNMDjlhHpSKxBDAC5/ly8fObLqFarkefPQ4+WPXD77Nvx9pq38bvBvwMAlFSVoE1uG8vXCmkh/HHOHxHSQri04FJ8vOljcHCM6DgCd4++25bfE0ufNn3Qp00f8wOJCGQUEwRBEASRkXRr2wyXjuqB9xftwqLth7G9qBz9OrRAn/wWeOrbjfhw8W7sLakEA3DBoM6YtmY/Zm08hB7HNcP9k/qjWRM/ftYvB2+sKcEXu3vhJ5d/BuxfhUPz3sZbK8ox6rTzcfpZU5KucUxYJ6+JD0/+fAguGtYNzZv6MLibdQOFIOKhMAV5/vAG19m9zsZpW0/Dv9b9C5cPuBwL9i3AzbNuxpUDrsRtI28D5xwcHH7F3Jz65+p/YtnBZXj81MdxQe8L8LvBv0OOkoO2udbKwBHOQUYxQRAEQRAZy01n9MX+o1Vo4mc4s39H/OH0vmiW40O/ji2wZu9RTBnSBZOHdEFBp5b4etV+PDZtPZ7+xRA0axJeIp3S1Y9FR/LwyFfrcHKfdujQeTBezr0GU9kuXD/hTDKIPWJcH8q7JpznqoFX4epvr8anmz/FexveQ54/D++sewfLDi7D7tLd0LiGP47+Iyb3nhw3Z3fb0W3456p/4rxe5+GC3hcAADo06+DmzyAEIKOYIAiCIIiMpUPLXLx+ZeN801vOPKHRZxcM7owLBtfPC1YYw7MXD8HkF+fh1o9W4I6zC/Dlyv04vaADWuWmnmdIEIS8jOg4AgPbDcTTS55GrVaLF05/AduObsPHGz/G+K7jsbdsL+6ddy/+seIfaNO0DVo0aYHm/uYoqS7BsZpjuKD3BZi/dz5y/bm4a/Rd5hckPIOMYoIgCIIgiAT069gSD00ZiD9+shrztyxAy6Z+XHPq8V43iyAIh2GM4cqBV+KuOXdhZMeROK3baQh0D+A3J/0GAKBqKj7Z/AmWHFiC0ppSlNWUobiyGG2atkGrJq3w/LLnAQAPjHsA7fMESsMRnkFGMUEQBEEQhAkXj+yO4vIaNPX7cPHIbmhJXmKCyArO6nkWrh54NX7S7yeNQqR9ig8XF1yMiwsuNvzb1YdWY03xGvys38/caCqRAmQUEwRBEARBmMAYww2Bvl43gyAIl/Erftw28rak/nZQ/iAMyh9kc4sIJ5CvaBVBEARBEARBEARBuAQZxQRBEARBEARBEETWQkYxQRAEQRAEQRAEkbWQUUwQBEEQBEEQBEFkLYxz7nUb6sEY0wBUet0OgnAIP4CQ140gCAegvk1kKtS3iUyG+jfhFXmcc2kctDKqTy/jnI/0uhEE4QSMsSXUv4lMhPo2kalQ3yYyGerfBBFGGuucIAiCIAiCIAiCINyGjGKCIAiCIAiCIAgia5HRKH7N6wYQhINQ/yYyFerbRKZCfZvIZKh/EwQkFNoiCIIgCIIgCIIgCLeQ0VNMEARBEARBEARBEK5ARjFBEARBEARBEASRtZBRTBAEQRAEQRAEQWQtZBQTBEEQBEEQBEEQWQsZxQRBEARBEARBEETWQkYxQRAEQRAEQRAEkbWQUUwQBEEQBEEQBEFkLWQUEwRBEARBEARBEFkLGcUEQRAEQRAEQRBE1kJGMUEQBEEQBEEQBJG1kFFMEARBEARBEARBZC1kFBMEQRAEQRAEQRBZCxnFBEEQBEEQBEEQRNZCRjFBEARBEARBEASRtZBRTBAEQRAEQRAEQWQtZBQTBEEQBEEQBEEQWQsZxQRBEARBEARBEETWQkYxQRAEQRAEQRAEkbWQUUwQBEEQBEEQBEFkLWQUEwRBEARBEARBEFkLGcUEQRAEQRAEQRBE1kJGMUEQBEEQBEEQBJG1kFFMEARBEARBEARBZC1+rxvQkDZt2vC+fft63QyCcITy8nI0b97c62YQhO1Q3yYyFerbRCZD/ZvwiqVLlxZxzvO9boeOdEZxx44dsWTJEq+bQRCOEAwGEQgEvG4GQdgO9W0iU6G+TWQy1L8Jr2CM7fS6DbFQ+DRBEARBEARBEASRtdhiFDPGjmOMzWWMPWjw3TWMsc2MsTWMsRF2XI8gCIIgCIIgCIIg7CBlo5gxlgNgOoBNBt/lAbgbwDAAvwTwUqrXIwiCIAiCIAiCIAi7SNko5pzXApgMYK7B12MALOKcl3HOVwNozxhrluo1CYIgCIIgCIIgCMIObBHa4pwfZIwZfdUBQFHMvw8B6Ahgux3XzRQOllbhklcX4u2rR6FnO/cUAK9+axHmbSkyPzADGdq9DT7+/cmmx32waBce+HwtOLjh93k5Pnx6wyno26GFbW3bV1KJC/4+F2XVIaHjnWhDKry/aBf+nOCeuc0vRnbHYxcNivx7b0klJlm4v1bIy/HhsxtPQZ98OZ7Fez/uwoNfxH8WzZr48dkNJ6O3JO11iyveXIQftmbe2HfJqO74y08GmR/oEA9/uQ7/Wrgj7vcdWubi+9tPQ26OL+F5Fmwpwm/fXYJaVTP83q8oePmy4QgUdEilubZh1t54jOjZFh9cO870uKk/7sRDX6zzbEwVfW4y8uAXazH1x51gYLj3gv648uReke/mbynCb99ZgpBm7bm5iV9R8OrlIzDhBG8FencfrsDkF+ehPM68ycBw36T+uGJcL1uupz83O+jYKhczbnO//+4qrsCUl+Lfs0zl12N64sEpA71uRlI4rT5tNII3sp4ZY9cCuBYA8vPzEQwGHW6WXGw+omJ7URX+O/MHDMl3TxB8+Y4KdG7GMDg//Sa6VFhXrGLV7iNC/ez79dXQuIZze+U0+u5IFcf8fSFMm70QgwWfW1lZmel1Nx1RcaSiFmM7+9A+L3EwRzJtcJrv11WDcw3nGNwzt/lxfwgLN+xBMFgc+WzjYfH7awX9WXwdTI9nEW5vLb4OLsQgG9or0rdlYcWOcnRprmBQ+8wZ+4z6utssWF+JljnAyV0a96ddxzSsKqrE9O9no21u4vfu+121qKhRcVZPP5r66i8ZajWOb3eE8O0PK4H97owxZn07UXvjsbZIxcpdh8XmoXXVgEdjqpXnJiM/1PXJ8loNM5dtRM+aHZHvZuysRWWttefmJrUqx7c7Q/h2wQpo+5x79iJj97piFSUVtRjX2Yd2BvPmdztrMXPpRvSo3mFLmxasr0SrHGCcwVhihZ3HNKwuqsQ3M2ejTVN3+6/ZPctEftgXwoL1uxBsdcjrpiSF0yu3/QDax/w7H2FvcT04568BeA0ACgoKeLZJw+duKwZ+XIgBAwchMKCja9f1zf0OEwZ28tSz4AV/nb4eb83fIVSC4PuSNWhVtB8vXntWo+9W7zmKyS/Os/TcREofNN0a7g83TxqFcX3aJTx21Z4STHlxvut9JxEzSlajVXGh4T1zm9+8vRiHSqsRCIyPfNZkaxGw6EfcMnkUxvZOfH+tsHJ3CS58aT4GnjQIgf5yPIvvjqxG68PGzyLS3kGDEDgx9famU1kPZc7/EBjYBQ9deJLXTbGNq95ahCPlNfX6utu8tGEBjmur4MXfjW303UdLduOu/6zCqDFj0a1t4iyq7fO3A+vW4akrJ6JNsyb1viuvDmHgn7/F8b17IzChj63tj4dZ307U3nj85at1eG/RLqF35tvDq9H6yAG8eO2Zgi22j48W78Zdn6zC6LHj0LVNnuvXT5UX1i9A+3YKth0qR4eO7REIDIl8t3XedmD9Ojx95elo3cz7TdyGlFbV4tsH/4fj+/RB4NTejl1HZOxWNh0CFi/C7ReOxshexzX6fuxj36NDp/r3NxX+vm4+Orb348VrxqR0ng8W7cLdn67GmLHj0Lm1u/1Xv2d3/GQ0RvRsfM8ykcvf+BHl1SEEAqd43ZSkcGTrgjH2FGPsbACLAAxjjLVgjA0BcIhzXurENdMZVeN1/+9uCE9I4/AZh71nND7GIvfcjJDGocS5R4oSPcZO9Lb5FPNno7fN7jakgqpxKAJtdwOFsUb3xsr9tYJ+PumeRZz+G2mvKk973UJV5emjduEz6OtuE9J43PdKn2tExl79GKNnJOt7Bhi3Nx4+Rfx5qZrm2Vyt/yY1TccJfQ5XDOZ9fc2lSOrEk6mvm/VxK/1Z9Hrx5i4rKB7Oc5F7lkXrbKP3LJ1wylPcE8BxnPMaxth9AJYD0ABc6tD10pqoUezudTWNwyfrbOAgfiX80nLOEScXPoKmcfjjTAL+ununcZuNYi5utPnrQr7sbkMqqAnumdv4FQbNZaO44fW8JNGziLRXor7jFiqXp4/ahU/xfjGiJTCK9bHKilFs9Ixkfc8A4/bGw2cwNsU/v/3jlSj6b1LTdJzQ53C/jzX6Dfqayy/pOkh/5l6/17FtSDSf2PlO2jVG+z2c56L3TM7+5QR+pfF7lk7YZhRzzt+O+e+LY/77UwCf2nWdTER/cdwWewhpPLJQySZ8EWMWMPv5CT0fDu3i6rvXIhOCX6KdZJ1E98xtfD7W6L1KZgErgozPQtU4fHE6uYztdYtQBm4I+n3eG8UhgU0YkTaGEmxc+SSMjknU3nj4LXqKvZqro89NXjGqROjvupEnU/9NssxXDdGNKa/fa8C8j1vpz0LXU+1ZR3jpbU9mXEh3fApL6+izzFoVpCn6gOf2TpbK7QlPSTd8db1eZKLRuLlRbLfHQt+9thI+LZPXJJG3yG18jKHhrXEqpEnxcEc6HiqPnyKhWDBSMo1wH/W6FfaiMO936BOG6+vh0wJt1Mczo76rKAyMyTfmAcbtjYdiYf5QubVz20nUKPbk8imjv+s+ZhQ1FP5/WearhujNkmGM1kwi2BSF2Tr3JVp7WcHLyBKze5aJ+GzuB26TYcuC9ETfTXJ7d0WmMFc38VnYfU3k+XDK02Zl91rfSZbNazInexcAACAASURBVCLLJBDevY7jKbbZ8xLpDxLtkiZ6Fv4sNooz0lMsQfi0miD6yEoOu9teqVRJ1lMc+7eJUDXNszE16mlLT6s4pGnwm3iKJZmuGsEYkyItAoj200TrITvnPrvWEV5GRGWtp1iC/posmbUqSFP0XRU3d1c451IJIrlJxFMs6LGId4+s7PRbwZKnuO63SOU1SeCddBtFYWi4lovkbNvtKbbgCXOLRF57xYLwUSaRjFcvHVAkWDwnij6yksOucQ6FIa7mgwxe8VjM2muElcgS1cONRl8kGsmTy6eMxsP32ijnVa3zRlp5bm7jk6Sv6/curvAos9lTbFOf93Ke07LUKJZpPWoVMoolIOIpdrEj6ZfKak+xkMdCc91THEp3T7FNuUB2kMhTbHcbrQgJuUUij6iM7XWDiMcjw/QUpPEU26DBEI7Qib888StMKjVks/YaYc1T7KFR7MsETzEzjC6QKaopHvJ5iuPPJ7bmFNvlKfZwnjPzrmci5CkmUkYP4XHzpbVieGUa0cWI+SSfaDES3YG0d7FgRQhKRhEULxdwDTHynukhXtlSkile7qyM7XWDTC2TIcNiJLwhZtzhrAhthaOY4n8vw2+NJZkxz9rmrHepTlZKacmIWrdJa2Rcqqr8KWR2hyUnSyStK0F6hJ19RNXsiTjzeeg4kF3IzQmslDyVETKKJUAPl3WzI2mSC0w4SURgKMWwNadyMq0s2mUq2aAjU7kbI++ZlZJXVoiGGUr0LBJ4iiPtlSA0z0305y9LH7ULGcLWwuI4xt9ZNYoTeV5lE3NJyijWRZQE5yGvUp3SXXtAFxs0NIolSvWJh90CVskSSetKIKRnt1FsRzSPl/Oc7EJuTiBDFYRUIKNYArz0FGfawlAEK5N8wpJMkbAyZ4xikQlBRm+fTJ5iY3GVxGFgySJjKHuicNZIeyXwQriJ6lCkgNf4FcXzvpcwXN+CwKHZGOKT4LfGkpRR7NPHC7GIJc88xeluFGvhsnSGRrEWv2SdLBilAHmBmdfT7ugNu9YRVgT+7CYrPcWShPsnCxnFEuClpzjTQghFsBIOlkg0yqkdSCtCUFbEa9xCKqPYsAxHnSfe5tFPRtGzRCFokfZK1HfcwKlIAa9RDPq62yQqdWWlFJ65USzhe2bZUywuYJWo1JXTRIziNB0n9DHQpzQWrLIrRNdJwilAXrfCXIvD7kgVu7z4Xq6RIvdM8j5mJ7IIwyULGcUSoO8mubnzHfEUS75L6gRWdr4TiUY55aW1IgTlZbmBeMgkXuIzEP/INk9x/PB/+drrBpmqp2C30E0yJBKcsloKL9HzkcErHksyY55VbQuv5moZo5GsoD8bo+gCmTZw4xFOAfLeKjYrL2S7pziBPoEVvOy/kXuWRetsn6JIJYJoFTKKJUB/cdz0FGeq2IwIVgbJRJNmxLi2eQCwIgQVEfuSaBCSaaFhlOcUmajsLskU8YR5v4DRCSWob6pY8NxlEk6pj3uNIoHASSKPpv6+CdflTfB+Kopc/dasvUYoVjZnZfAUSzTHWEGfj3ys8dgs0wZuPBTm/WYXIOYptvOdDCWIOrGCl2KkWekpVtJ3Aw0go1gKVC+M4gwVmxEhEk4jsjjjCYxih+rSahbCOyP50RKFqyQSd3Ibv0HInObQ7m00Z9LW06aEyuP3Iys5nplEphrFRn3dbRJ5NK0JbSV+Pn5FkarfmrXXCCvaFpqH4oWZED7tr/MUNxyb7aqF6yR+n/dpEYD5mtHuknDhtVfq64joe5byqSyTqak6ifApStqOFQAZxVLghVHsVFmadMBqfch4k4CiMCjM/udmVg+wYRuYA21IBS9FYRriUxRwXn8DxKnagfrpZPIUqwnqbOsfp/OubjJYKXmWTuieGu7hgiRhuL6FeqGqpiUMF5ZNzMWsvUZYT+PxZrmW7ptnep80CkP2stSVKLKUHzMTKHSiJJMdz8ZTT7GamXNNIuzeHHEbMoolQN9VcXN3xYo3MtOwErZmLvhi/wBgVQhKtrpwXorCNCQi7hPzbul93+42sjhiLl6iaohbykVvrwxeCDfJVE9xVFDGuzYkEsdRLETWqDxxyKF0Y55Je42w4oFNVOrKaawIpMmIHu0VrySTV6WuRPExSUoymQiA2jn3cc5tK0MWNYpTPpVlstFTrEiwOZsKZBRLgL6b5G5Jpux7WXWshK15aRSLCkHJ5zWRZ/fdSNwn5ODurSy7+jqJPMWAfO11g0w3ir0q36IvZM3ruosIS8XPhQfk67dm7TXCSqmYRAJmTmNFIE02NI2D16WQGBrFqjxzVTx8CpOibJ6qcTAWf5PVZ2NKg34aOz3FXoyLYQdBeAM6W9CfWRoOFwDIKJYCfXJ3c+DL1IWhCBFPscBOlpkQh88BEQz9fKKPRjajOJG4k9voXo7YZ6Qvyp3wEBiVgPKSkMlue9jjJk+4txs4JbTmNV7XkxUR4gEEjcAEqv/6uWTqt2btNcJKST+7vGbJYEUgTTZivZuGJZm4PFFN8ZBlfjcrX+WzMY3LzvWplRKcdpMOQm524/XmbKqQUSwB+qToZohMpubViWBJ4MRENMqJCUsX/xDdXZTNa6IlEHdyGyMvh+qgaI1ftmdh4rUP5/+42CAJyNQNQSvjmhOYhQpaqReqJRA41M8lgfMsgll7jdCF/lLVtnAavZ0ybfaJEnnXfXVGcYNO42WpK1FkENADRKLm7PMU22oUezgupoOQm91EhWw9bkiSkFEsARFPsYu9iEoyWQlbczd82uruomzCBlJ5iiPiV/WFtpzyuvh8sj0Lk919n1weNzfIVKNY8dAjEnvdeOOllVJ45nWK5eq3yQg22ZnG4yTp7CmOFVU02rAMmWx6y4AsnmKzPh6+v/a8k5Fa8jasT60I/NmNl2kPXhEdL+QZn61gy9NijN3PGNvCGFvMGOvV4Lu7GWNrGGMrGWPn2XG9TEPfgXXTYxNZwEi+S+oElsPWEhkVDsjPawnEaozbIMdOso6WRHkSp/D5GnuKzbynKV1PMgEgs51qH5Or77hBpoqfeLn4i72uqafYBiNQkcRQ0EkmvNlKWKdZ6KqTpHNJptjNf0VpLFilaRyyL4FkMYrN+rhiY9SRbk/ZGj7tQf/Vc4qziaz3FDPGegK4CEABgIcBPBHzXUcAvwEwBMAUAM+ker1MJBQxit3rRVGhrezaxQKii0c7wtb8BiFZqRKyKP5hFBbmJSETcSc3MfLGOJnnI8sCRidkEh4oW3vdwKqQXboge06xXaXw9HPJ1G+TCW+2VJJJ47bXVRclMoamYZ5FbPSCsadYk34ckCU9SuydtNdTbIfTxstxMRyeL3f/spvo+jr9xgvAHk/xRADTOecqgOkAxsV8V113DT+A1gCO2HC9jEN/Wd0c+CILmCwMn9Y9vyIeC1OhIgcmLFXTLHkdZPP2eSkK0xCjUB4nQxFlMzLNIx3kUDZ1E/33Sr4WtozXYa5mFQ2slMILifRbid4zs/YaYWWxrmqaZ3O1YmEzQzZiN2oUgygeTZN/HJBlTlFF8vztyim2sWyilXQ5u0lmXEh3vE7jSRW/DefoAKAIADjnIcaYjzHm45yrnPMSxthfASwGoAL4pQ3Xyzj0zuOmkEWm5tWJoO8Mi0zymokok88gJCtVrApByZbHKldJpsahPE62T5YFjI5ZX5It9N4N9PdVdg+RVbz2FGsmc4pVgcOmOYkFDmUSfjJrrxHWjGLvcoqjJVbkud+iRNc5imF0QUjT0MxvxzLYOcICVqrXzYAqpAhvr9CWnSWZvOi/TqZqyUpknE/D8QKwxyhu+MsjPYAx1hTA1QBeAHAugJ8D+EvDEzDGrgVwLQDk5+cjGAza0Kz0YfeeagDAvsIDrv32tUXhQXbVyhWo3u1z5ZqysOtY+LevXLUaOQfXJzy2qroGhfv3IhgsMvy+uqoS+/ZXCz+3srIy02N376mGGlKFz1lTVYV9+wuleW+qamqxf1/8e+YmG/eFAAALFi7EtubhRevuvdUI1YrfXyvUVldhX6E8z6K6phb7EjyL2mr7+o5I35aB1YfCfWLliuWo2Jk5Y9+mvbUAgAU/LETH5u4b/MWV4Z2nLZs3IVi5vdH3NXWems1btiLIdyc81+GSSjTzs7j9qeRwFUqquWv9zaxvHy6pRLOc+O01YsfR8Dy0YtUqsMLES7Ga2hD279uDYPCQ8PntQn9um7ZsRVBL/NxkoyjSJzeisJyjpsG8euRoJWotPje3OXqkCkcd7usiY/eefdUI1cSfN/ftrWl0f5PlUEX4uW3etBHBim0pnata77+btyCo7kq5bVbYs68atQnuWSayeU94Hpo3/wfkN0u/jWc7jOL9APoDAGPMD4DXhVIDwDkAtnDO/8kYexPAVsbY85zz0tgTcM5fA/AaABQUFPBAIGBDs9KH6UWrgD270T4/H4HACFeuyTYdApYswsgRwzGiZ1tXrikLGwtLgQVz0H/AQAQGd054rDLrW/To3h2BwADD71sum432+S0RCAwXunYwGIRZ/55WtBJ5pUWmx+m0WBpE+/xWwm1wGmXmN+iZ4J65SenKfcCq5Rg5ahT6dmgJAPj60Eo0s3B/rdB8aRDtJHoWbOY36NUj/rNobmPfEenbMsA3HASWLsaokSMwtHsbr5tjG0dX7AVWr8DI0aPRJ7+F69fffbgCmD0LA048EYGR3Rt9H1I14Lvp6NnreAQC/RKe69k189CueRMEAqMNv39v1xJUHa5AIDDBlrabYda3zdprxNp9R4Ef5qH/gJMQOKlT4oO/n45ePXogEOgvfH67qK17br0Enpts7Cqu65P9+yP3UBmwc1u95/j06rnIb5mLQGCUd4004d87l6C2pBKBwKmOXUNk7P78wArsqjoc97gfqzYAu7bZMgfsLC4H5gQxcEB/BIZ3S+lc1SEV+O4b9Dy+NwKBvim3zQqfH1iB3VVH0mJetIvDy/YAa1Zi9Jgx6NmuudfNsYwdZvwMAOcyxnwAzgcwlzH2FGPsbAAVADqwcMHVlggb4dU2XDOjiJRkcjHnQRdEyLbQDsBacXEz0Sg7yxBEr2m1JJMilaiBl6IwDTES91EdbJ8TwmupYFZyRDbBIjcI2RiaJxN6OLjXQlvxxHEslWRSTfqtZCkjZu01wsrzopJMyRGKWecYCm2ZhATLgCxjtFl5IaP7m8q1AHvS+7wcF5Mp1ZbuWBnnZSRlTzHnvJAx9haAjQDKAUwG8DSA4wB8COBnAFYhHFb9R855TarXzDT0XAc3cx5UGyXv0w0rOSZhIY4EZQiYfWUIote0NlHbWQrBDqyWlHISI3Ef1cH2KZKJnoX7UvzvjcRnMp1MrdGuP2fPjGITcRzGGBQmOO5ygX4r03tm0l4jIs9LsDSgV3O1ojAw5q7miV3ofU1RWGQu0GKEIGWaq+Ihi+6DZlJeSGEMnNe/v6lcC7Bnfaqfwotx0Y57kW5YKb0nI7YoDHDOXwTwYsxHF8f89/V2XCOTiXiKXRXaqiuOnmUvLBDjPRTw6Jl6in32lSGIXtOqp9j+NqSCTLujbpdkksmDxTk39xRL1F63yNQa7T5ZPMUJvUmKmKdYwCslU781a68R0eeVeOzWNA6NeztX2+kFdJPYqJDYqKEmMf8tS1RTPGQRbzQrXxUrsKQgtXtqZzQPY8yzeyhTeUq3sFJ6T0bSLws6A9EnRTdfWjvDU9INUU8x5+aLEYU5UZIpiTrFkow/msbBeWLvupsYlRMxU9FMhbBSqBwPQ29GIk+IT9BIyST0kMpM9RR7VpJJNZ9TFEU8XDhxKTxFqlJiyXhyoxt2Jufm9hkIyZKuESWxVTb0TYjYeT8d1IGdSNFKBlVL/G7rmwt29BO7o3m8KuHmZYSHV6R7SSYyiiVA7zxudqJsLskkmvMgUsvZ70RJJou17XwSeYplWMDFEikn0jB82qFyPD4mz2Qg4hH1CYazZhKaZH3ULrz2FOv3NdGc4hfcNDLbGPQpcvXbZBa/0dSOxGN3xEDw2FMsy7hmhdg53GjTKKTJHz6tKAwyTO+qpiU2im00huyO5vEx+9dpImSjUey3cXPEC8golgC987gbPm1u8GUqovUhI970BAOzojDbPRaqxi1NBj4H2pAsMizgYjESiVFN8mxTQSbRM5Hddr9kHjc3EPFopiN2LkqTQSTkURHcNDLbGJQtwiEVT7Ho5qynnuI0D5/2+aKe4lghxHQwWmTxFJulHdkpsBQSmLus4PdojeRkqpasKGkszAeQUSwF+qTnZmJ6VnuKBRePEc+H255ii+IfXu2CGiHDAi4WI9EH1STPNhUUBVLs6gNiXntFERP6ySREPJrpiOhmn1OIbIj5fTZ6iiVadKlJeBz1xaPZ7zATMHMDJ+Y5N4gINjEGfZ85drxLB6NYFiHNsJicuVFsx3sZjeaxZ55WPOq/6SDkZjd+gzSFdIKMYgnwRmgrM8VmRBDNfRHJu3YiV8XqRO33ybOLH71ncgwtev9u6Cl2ymiXylMs4BEVDWfNJDK2JJPHYWsiG2Ki46WZAJKoYJdbJCPYJOwpVr3vr7J55kWJfdd9deFBseNzOhjFsghpmpWvslNgye5oHq+87elQ8stuIhEDaRqBJsfKNcvxIqc4FLODmm2IeopFjAonVA2tDqQKY9J4TaJh+R43pA4j0YeQpjlXkkki0bOQgMJ8uoZFpoJsIf52EQ1b82YBLSJg5mNiC3zV5B2VTfjJrL1GGJWLM0IGUUyfAqnqr4uixbzrvohnPvq9auL9lAEnxDyTwczrGVvmyo5rAfb1ecWjnPh02HSxG68jllKFjGIJ8MIoztQQQhGEhbYEwk+dECCxOlHLVC4jYhQ7lbRrEb+B+JBmoqKZ2vXk2NUHov3XbHdflg0Vt5AtxN8u/DYuSpNB7/YJhd0EQ0HNFpOylRJLTX1aMI3Hw+gbv6KkZZqFcUmmGE9xGnjyZBmjQyZaJ7Z6im3eCPJKKC4dNl3sJmIUp+F4AZBRLAWeeIozVGxGBCNFYiOiedfxXxMnPBbh8F7xV1OWOoaAfAJuiqHiaGIVzVQQXfS7gYhugFelKrwkUz3FXoetiUQmiCrlmxmZMo15QHIpGaKLRxnC/UVLaclG7MZgNOe1/veyb475JEmP0kzfSSVynB3XCp/TJvVpj+Y5J1O1ZCXqKZZkIWQRMoolQB+43dxZIU+xhZJMCd4SJzwWZjU6GyLTAlG+kkyNRR9U7ly/Fw0PdQMho1ii0Hu3yFRPsWj9dacQFSYUsdnNjBUfY1J5IpLxCEUWjyY3RJNgEyddtQdiU6Ci8350fA5ZnGu9QBYhTbPyVXbWSbd7I8jnkbc9G8OnReuvywoZxRLgZU6xXep+6QRjTKg0iIin2OfAYsHq7qJURrFkEQhGGyCqpjlmEMmyqw8ICh/55Cj34SYy5Gg6gZ3hi8kgEn1kt6eYS2AsAMktfo3KxRkhg6dYpjnGCrHvulGuYzp48mRJjzJ/J/VUpdTnE1Ug6sQKXnqKM22eMYM8xUTK6IsJNxen0RBC1y4pFT7F3NMQnVATnIfZvwgNaYlrdDZqg8BvcQuREEo3MRqgQ6pz3gGZPK9C6umSCRa5gWwh/nYhKtzkFMLh+gKuYtGaqLL03WTqkSoKA2Pmnn197PLSo+lj6bl5phmET+tzJec8qVJabqMoDJx7X4LM1CiOiFraca26c9plFHs0z2VjnWI761V7QZaaRHKhD9xuzjlRL1J2dgGRnW+vPMVaEp5iWeTvZQvLNwrl0RzMI5NlVx8Qy8vyS7Sh4haZWqNdVLjJKURSJ3yKeSiopnFwkxQHmcRcRNobD5HxQh+7vPcUe3b5pKlXkqlBzr1+22UpHxgPvyR9XSR6A7DHuWP35rpXkQ7hPGy5+5fdyLZhaZXselqSEq1T7N6so18zw9aFwojkSInV3bT/5Q9pmqWal36BhaZbyBaaGvWeuZNH5lXukhEiZdd8CkvLUiupoGocCgunUWQSimA4rlPYJeymCuYmx17TS1LRURAZL2SIvhENe5cNLWZju6E6e2R+l6V+YBx8BhUUvMAszz8qYJr6tUT0CazglVp9KA3C8+1GtOSprJBRLAH6wO3mTqyuJJhpC0NRrOQUJ6y76UCpCo1bmwxkUhCWzQtn6Cl2cKJKt2chU+i9W4QXd5k39emLe682ZYT7m2iEjklpp9hjvSQVNXOfQA1a3cjwMszXJyiQJhuxG4P68wlp9Y1iK6lKXqCnb3nd183Sjmz1FNusTeKVMJ9qMRUuE5BpbE6GzFsZpCHRQdpdT7HsuTRO4vcppoO3l57itBXakixfU4nsWtb3FDvVPimfRYpGSqYRVnf3uhX2Iyrc5BR25bCLjCEyLbxSUTMXef8inmIPPZrp6ilWY+5dw+gC/b7K7snTPcVeb7aaiZLZ+U7avbnu1TyXDkJudiPT2JwMGbg0SD+ig7R7nUh1sFZrOhCuL5z4GJGwNb+iIGSzi1+1KAQlk1hSZGEsSUiakSKvk4qQMnlehYwUiTzbbhFSM9NT7PVixK7wadF+G3usl0RTkZwximXYaJRJt8IKaoyXvWFYp27jy1+SKfz/Xs/xZmXHbDWKbS7t6FX/TYeSX3bjdRWEVMm8lUEaEh2k3TSK5d8hdRK/wM63iGhUWDjG1qaZ5u40boM8NST1PixL39KN80ZlOBwy2mXK0dUiC4tEQnHybKi4hZZETdl0wO9x7qGIUez3mefQiowhkZrMEvTdVMY8n6IICG15P6bKpFthhdjSPg2NtrTxFPskySkWFNqS1lPsQf91UtRTViJjcxqOF4BNRjFj7H7G2BbG2GLGWK8G3/VgjH3FGFvOGHvAjutlGlGhLXc9xdm2gxWLiJqmvrNotjizWyDNqifTKxEJI0TEndzESPTByTwfmdSc9f6byCnqz0KjOJShUTKKx7mHIhUNFIEcWhFPsUzeiGh0jPXllF9AaEsGnYZ0jSiJ3VDwN9ggVSWrlBAPWUTlwqHA8fu4nSrZdvd5EWFVJwipmTnXJKKhynu64U/1BIyxngAuAlAA4HwATwC4JOaQ9wH8hXM+PdVrZSqRkkwuLqateiMzDZEcKX1wNxOXsDvVyqpRrEgUPi1SBshNjEq3ONn3FYkWjyKeYiULjWJVk6d/2knEU+zRpoxImK+IxzEaoZPYuI69ppekopRrSY3bY6NYBq+8VSKh7Qpr1Gdk2GwQIbKxK0FJpkSbyQ2FzFK9FmDfs/FqntO4/P3LbshTDEwEMJ1zrgKYDmCc/gVjrB8ATgZxYvScVHc9xdmX6xCLX0BNU0hoi9nvKbZa8F0q76RkC42IURzzsK3mbFtBxPPjFtFnEf+YbPQUq5omTSSDncjiKTZTjTbzIAj1W4O0CK8ICcwT8RCp2yzDmCqiki0jWkxuasP0grQxig3mMC8wSzuKlmSSzyj2ap6zKpqaCcik95AMdhjFHQAUAQDnPATAxxjz1X13EoBixtg3jLEVjLGf23C9jEPvO5y7lyOVjap4sSginuKYXeZ46DnF3EajVNOsqSPru6B2tiFZZPBqxGK0y+6kp1hfPMrwLGJrdMbDq1IVXpLxnmKvjGIBj6mIESjSbxVJvGdAtL1JlWQS8BTLEH2TrtoDsRsKendqWJJJ9g0yo2gnLzD1FNuofm/3RpBX0XSaJr+Qm914LfiYKimHTwNo+Mtje0ALAL0ABAA0AbCYMfYV57yq3h8wdi2AawEgPz8fwWDQhmalDzW1och/zwwGXTFW9+6rRm2NmnX3WqeqogKFByoT/v4VB8PPZeXyZTi2zWd4zO5dNQCAmbOCQgN4WVmZ6T2vCanYt3cPgsGDpucDgN07rbXBSWLv2dE498xtGICt23cgGNwHIHx/9+4Rv79W0PvDrGDQ8/qE+rNYsWwpSrbG77+cAzNnzUq5vSJ9Wwb27a9CbY2WFm21gr4Rs3XbdgR9e12//uat4b4/f96cuHPY4eIqHCtNfO8Ly8OblZs2bkCwdIvhMRsLw3174cJF2N3Seb3QRH1bpL3xqK6swP7CqsTz0IHwb12+bCkOb/FmTD1cXIVj5en3zmyp65Pz5s5BYXn4/Vi1Zg1yizZgf1nyz81NNu4PP/8fFv6InS2c6esiY3etqmHv7l0IBgsNv99dGr6fq1avQdNDG1Jqj/7c5s+dY8s8euSwN/23VtWwJ8E9y0T0Tc8tW7chyPZ43Brr2GEU7wfQHwAYY36Ew6XVuu9KAMzjnB+p+34fgM4AtseegHP+GoDXAKCgoIAHAgEbmpU+8O+mQd9bGH/qBOTmOD/xfVa4HHuqS5Bt91qn1cq5OK5NLgKBUXGPqV5bCCxbilEjR+Kkrq0Nj1nLtwCbN+IUwecWDAZN7zn/3zT06tkDgcCJpueLtGHLRoyfMAFN/d4aolVr6u7ZqJEY2MX4nrmN/7tp6NY9ej/5/6bh+F7i99cKa7TNwJZNGH/qaWji91bcv2rNfmDZMoweNQoDurQyPMbO9or0bRn4z75lOFB7LC3aahXfd9PQrYczfduMlaHNwOZNmBgIxN2c+2T/chSFjia891sOlgJz5+CkgQMQGNLF8JiqNfuBFcswbMTIuH3bThL1bZH2xqPl8jlo174ZAoGRcY+pWL0fWL4MY0aPwomdnP+tRvxn3zIc3pd+78yK0CZg82acHghgW1EZMH8OTuwffk6bD5QC85J7bm5SsXo/sHIZho8c6djzNxu7Oefg30zD8cf3QiBwguExmw+U1ru/qbC8dhOwZTMmBgJgNhjFH+9dhpJCd/uvfs9694p/zzIRzjnw7TR075mev9uOVdsMAOfWhUyfD2AuY+wpxtjZAOYCGMcYa8EYawugEwD3t7AlR9U4mvrdDX1zslZrOuD3iYetCeXR2BjaZL0kkzzhKiLiTm4TKxLDOa/r+860Tz+vDM9CV1dP1H/19qarKEYyZGpJJkBMVd8pIsKEUYKtzgAAIABJREFUCW6tSG5fpN8mTFuRp9+KtDceVuoUe12Syevw3WRQNQ7GwiGs0bG5voaL7GlkMszvQvoqNpdk8inMFoMYcKZ0phkyvLdewBhLW2E+wAZPMee8kDH2FoCNAMoBTAbwNIDjOOcljLFHASxA2AC/k3Nek+o1MwnOOTQONPErqA5priWnqxbzVjMNkcWIyKRpt6iApnFwnjifriGylGwAxERy3CZWJEa/RU71fTvLUqSKLgCXKPxMptI2bhFSM9goZuZaCU6h1onKJFrIiuT2pVu/DcXUwrWKSDm9qOiQd4OqIiCQJiOx2inReTL6HSC/voAM87uIVoidmgYqt3d96negdKYZ0VJtcvcvJ0hXYT7AnvBpcM5fBPBizEcXx3z3CYBP7LhOJqIPIE39CkrhrtCW7JOBk/gEFmdaxPNhbhTb9dyik4/430hVnkSCBVxDYjdAIru3Dk1UuqiG10qhQH3l1XgoEiy43CaTPcV+Lz3FAqIyIp5iTcDzKlO/1dubzCJepG6zDIJQIqW0ZCRWHCraZ7TId4D8RrEMfV3kXtmpfm/n+rS2thZndGOY1LMt1q9fb8s5RdA4xz+ndEbrvApXrysDL0/qiOZNa+r97tzcXHTr1g05OTketswcW4xiInn0CbFJnRXkqqdY8snASURUP/Wd8UShwHZ7ipPxCugGngw7cyEJFnANMTKKnRLBinqwPLJMYtD7b+Ldfe8XXG5jteRZOiGiqu8UqkD5EZE63iKeV5n6baS9SWy0iYWTe+9xEpkvZSRk4CnWf4cMpa5EkKGvi0TN6eskW9SnbYzm2bNnD/p2bQ+1SQv0d1HnRNU0qPuOoXPrPOS3bOradWVA23sUbZs3QZc2eQDCEbHFxcXYs2cPjj/+eI9blxh53DlZij7QNXE5pzh2sshGRHIeoiWZEp8n9thUSSb8WDfwZMjhUFNYIDqFT1FiFkLh9jnV9yO7+hJ4VcR29+Ux4t0ikzcE/R4aLyGBlBy/hVJ4Cfstk6ffpuLJVQSMYhk2GtO1JJOqRWvSN5wnNYGQYBnwsfrGvBdEyo4lSo3QPcU2zH12RvNUVVWhWas2qF8Yx3n02yCRf8A9WP2yRIwxtGvXDlVVVXH/RBbIKPYYfQDRVYPdWkxncgihCCI736qAaJTdu7hJeYolyq9LRXTGKfwxGyCRUEeH2ifDrr6OKhA+HRGK8962cI1MrtEuUgfYKTSNm26G2SUspUfHyNBvUxHUEfIUS2C8+RVFijHNKkY5xZENUoFIGhmwO0UrGSKe4oSio3WOHRvyN0ICUSdWUBQFjavHOot+Nbl7lzMwsOiugP5ZmuwOkFHsMXruYcRT7FIuYiaLzYggkiMlEl5ldz5vMgssGdQpdVQBkRy3id0ASUUUR/RagCzPQo90EBGKk8C6cIlQTJ5hpuHzUBBJJPrIilGcLv02ldxUn4Cqs25keLmRIyKQJiMqj1Ya0Dds9N8hY6UEI2RIj9IE+nhk7rOhmSL6BFZgcNskto9QKITf/OY3AIDq6mp89913jT6XDpa+91vu0SAL0CfEiFHs0i6/Sp5i08WjyETg9zljFFuZEGQ0xGTyxMV6z5z2uvgkEj0TKqMRCSl0pUlSoGncMaE1rxExspxC4+abDSKlfUQiHCL9VoY0hRTGFKFNgrqv7TQSrCKiki0jqsojqUgNx2YZKyUYEdl497Cvi4TwR9chqU8mIvoEVnH79tkVPu33+/Hmm28CAGbOnIlvv/220eeywYC0tYolHw4yn0hOsa9+DT03rpvtRrGdnmK7hbaS8hRLsEAMJWHUO02sp9hpxVG7N0lSQWSDJeqFyB6rONM9xV71vZBq7im2kkMr5CmWQOU9FcEmMaEt8hQni8p5xBPccJ6UsVKCEdGwZO/uv8i82bDkVWrXszfazJvhPhpAvWPHDkycOBFTpkxB//798cgjj0BVVdxwww0YNmwYTj31VGzYsAEA8Prrr2Pw4MHo378/3n77bQBA+/btUVJSgjvuuAPvvvsuzjnnnMjnAFBeXo5f/vKXGDZsGM4991wUFhYCAK666irccccdGDZsGE466SRs3LjRsKWbN2/GaaedhmHDhuG6666DqqoAgCFDhuD222/HoEGD8NOf/hTV1dUAgFdffRUjRozAyJEjsWjRokbXmjJxLLZs3mT7HXUDUp/2mIj6tN9d9emwAqvck4GTCOUUC6mg2iuQFgnvtTCKk6c4Mb4YcR+n88hkKo8lohgqU3vdItNzir0Ks4wVNYqHiBCYqpr3W6nGvBTGFLG6zd7nvnpR59UOwn0y/N+RPqM28BRLvkGmt9/L8Gkr4ne2eYptjOZhCHtuH/pyLdbtO2bbeQFgQJdW+PPkgY0+b+gp/uGHH7B9+3a0b98eo0aNQk5ODqqqqrB8+XIsWrQIN9xwA2bOnInnnnsOM2fORH5+PioqKiLna9OmDe68806sWbMGTz/9dL1rvfDCC+jfvz/ef/99fPzxx7jnnnsiXuSKigosX74czz//PN544w08+eSTjdp600034ZFHHsGECRNw4403YurUqbjiiitw9OhRjB8/Hs888wx+//vf48MPP8SZZ56JTz/9FIsXL8batWtxww03YO7cufWudc8jT+CDqe8gMGaoHbfYVbLXKpIErYFR7NYkr2kcGRpBKIRPQDhERDRKD72y67klIwTll8hrIoMoTENia1JHFEcdL8kkwbMQUAz1N/CeZAOZHCXjY+aq+k4R9sqZeIoZA+eJRYP0vpgu/TaVMc/vM98kEEnjcRpFYdB4uLRKOhHOc6/zFDeI6hLZ9JYBvf1epgqIbMzYOfeJKNlbg4F7LLR1wgknoHPnzsjJycHJJ5+MDz74AOeeey4AYPTo0di8eTM0TcOVV16Jn/70p5gzZw6aN28udK2FCxdGznX++edj3rx5ke/OOOMMAECfPn1w6NAhw79fuXIlJkyYYPj3p512GgDg9NNPx7Jly7Bo0SIsX74cw4cPx+WXX47i4uJG1+rR63gcLioSartskKfYYxp6it0syZTNnmIrYWuJxSWc8RRb2SX1STBp6qTiNXGK2JBSERXNVK8FSOLBEskplmhDxS0y2ij20FMsUv851phV4uiyqgLvqJzvmfX51KcoppsYMng0Y1X10ykfX4vpk4rCoLDoPBnZ9Jb89/gk2GgVESVTFAbG7FHJtrs6iv7qPDBpgOsqyPrVtBgPOuccR48eNdxkuvPOO3H22WfjD3/4Ay677DJcd9115tdgLO6GVdOm0RrJ8Y5REjxXvd2xf3vRRRfh1VdfjXstBjnWo8mQvVaRJOgTalMPPMWZGkIogkjYmj5pJlqM2O2x0AS8JA3xSRBepaM67IlNhliRGKe9LjIu1kUUQ9N1AkuG2DzDTMPv885TrAkYxQ0VgI2wspkj13tm/W99zHzc1jQOxrzVaZBJt8IKIU2rNxcZVSKQXV9AipJMqlgf9zF7NuXsro6in8nNOxh5Ver616ZNm7B7927U1NRg7ty5+MMf/hARzVq6dCn69OkDRVFQXFyMIUOG4L777sOCBQvqnbN58+YoKytrdK3x48dHzvXNN9/g5JNPttTW4cOHY86cOYZ/P2PGDADAd999hxEjRmDUqFGYO3dupB2xnuL6N8BSE6QhM1cGaYRXRnFI0zLWWyKCqKfYbDGiRBZn9uRbieSBNsRub3UqqBIs4BqisNiFkLNGu0yLR1XjUFji+oAyeCHcRiT3NV2xa1GaDCLRRyLq7CJh/zL122Rqy+uIpPGIlLpyGpk2IaygavU3BX1KTM16AZVzGZAhJSeSdmT2ftukfm+3p9gLq1gP19YvXVBQgOuuuw6DBw/GJZdcgttuuw0tWrTA0KFDcfPNN+Mf//gHgLAXdsiQIbjnnntw44031jtnIBDA7NmzcdZZZ9X7/IYbbsDGjRsxdOhQvPrqq3jssccstfX555/HAw88gGHDhqGyshKXXXZZuO2MYc6cORg4cCAOHz6Miy++GF27dsU999yD8ePHY8iQIYY5ynK/UYmh8GmPaaw+7ZKnmMsV4uo2iojgCzfPa7FTcTF8Hh5pnyiylQGSbZERW5PaafVpmRaPIh5RGbwQbiNjH7ULEVV9pwh7ihMfI7JpJBKOLFO/VVPYaPMp5mOFKlDqymn8Eo1rVlAbbP7Hbho5LbpoF4oEfV20fJVPYbaoZNu9EeSFp7ghubm5mDZtWr3P/v73vzc6TvfYxlJUl5+bn5+P9evXN/o8Ly8PU6dObfR3uno1AEyaNAmTJk0ybFvv3r0RDAYbfc45x1NPPdUot/myyy6LGM5G1zr9nPNw1nkXGF5LdshT7DERo5g8xa7ij1EkjodIjly0JJM9VnEqJZlkUAcNeyfl6leKEq1J7ZZRLEOObqzyajxk8ri5hYx91C5E6q87hZCnuIECsBHRjUHz88jQbyNjShK5qT5FEVLj9noTJ11V6hvO4bH6Ek7PBXYhg6c4qq9i/n7b0U77o3nC53JTbKuh+rQsInX33nsvhg4dGvnfK6+8kvD45NodP8dZdshT7DG6IeN2SSbV5pyNdEOknqfIYsTuurTJlN/Q2yCBTSxFqF9D/ApDTaiuJJPDCyEZlEJ1wnVjEy9i7C4plg6ENE26PmoXXtYpFvHAiyzwoykk8fuuTP02mZQXndgolkTn93qujtYz9/5+W0FroIju90XD1dU0CZ+ORh95N8GLVOLQv7dj7rM7mieyB+pq+HTdtd27pBCPPvooHn30UUevIdtvtgIZxR6jDyBN/T4A7uUiipTPyGSEjGJuvltpd7hsMkJQdnurU0FGZd/YPCcRFc3UrhX+fxkWjyJ5WXaXFEsHVC05r1464FcUVKqqJ9dWNfN0ExGlfJESR1KljCQhjqgT9uwnHrdtz69MApnC1a0QUuvP4bH6EsmkKnmBDH1dVJTMLk+x3RtBnoRPx7iKe/XqhSVLlrh5dVvYsWNHcn/I0lZni8KnvUYPdYuET7sU+pbJYjMi+AUEIUR2K+2esJLyFEukICytUdwgj8wp8eHIol+CxaNIioRMIm1uoTZQpM0kRLQSnELk3RfZNFJVgVJ4NkfopILe3mQ2mcM54ImPkaF8YsMav+lCI09xjNBWMqlKXuCTwEuvCZavihUyS+16mSC0Vf/S2QRDjPp2mkFGscfohllEaMstT7GEYa5uogipT4ss8hzyFFsqySRRHiv3fgHXkFilccc9xRItHhsqrxohgxfCbWTcuLELv02L0mRQhSITzDeN9GFMyFMswcpLb28ym8xhz5qJp1hAwMxpZBIQtIJRTnG6eoq93PQW9hTbVZLJ7o0gXu//CIcxqniRLjnGcq1esxDvhLYyV2xGBLGSTO4bxZH8NAvhnTLVmg3nqnvdivrE1qQWVdFMFpkWjyIeUZkEi9wik41ixaZFaTKIhDwKeYo1AU+xZO8ZkIKn2CTrJazT4LGnWKL7bYWGHsdYdfa08RRLMEaLlq/y2VQnXeMcdmW45ObmovToEXDOPRXayjZijWDOOYqLi5Gbm+thi8SwJaeYMXY/gCsBHAHwC875jgbf5wJYCeCvnPO37bhmphBqYBS7JrSV7Z5iFg5b0xKEkYcEcuTsVoYUqdHZEBkmTR0ZFnAN8ftivQNiKprJItPiUcxIkae9biGjGJxdiKjqO0XD8jdGRMP147dRRLhKpuiYVMT7wp61xM9LREXeaWSaY6zQcA6P9RSHkphrvUBEsd1pRMtX2eYpVu3zFHfr1g1L1m5BaUUFlKO58Lu0a19Zq6K4rAb8SNPI+j5bKC6rhqpxhA5HjeDc3Fx069bNw1aJkbJRzBjrCeAiAAUAzgfwBIBLGhx2P4DdqV4rE9F31Zr63c1FzGRviQiRuoucQ4mT9aFp3FSQJ1JD0CYvrUiNzobIZNho3PsFXEMUFptHFv7MqZxSmcpjieRlidSNzTQ0AQG9dMVb9Wkr4frxj9EEjBX9MjL022TEEXX0nGLOuWHIIaBvYMvhKZYhGskKDdc5vphNo7TxFEuQKiBavsqu8Ue1MWUgJycHRaw1bvpiG2bcNgF9O7S058QmTF+9H9d/sQzf3HIqTuzUypVrysJ1/1qCHUUV+PbWYV43xTJ2dLuJAKZzzlUA0wGMi/2SMTYYQA8A82y4VsYR8RT73PcUZ7NRLCLUIuL19NvssUhFaEsGo1hKT7Fi5Cl2pu/LJHom4hGN9h3vjXi3yGRPsbdGsXmpK5FNIxFPMWPMU694LJExO4mNNpGxW4a52u55zi1UjddLRYpNm0qXOsWKwqAwb+d30fJVfkWxxyjm9q4jvKj1nEqptnTHryhSOAaSwY7w6Q4AigCAcx5ijPkYYz7OucoYUwA8DeAKAL+PdwLG2LUArgWA/Px8BINBG5qVHqwqDAEANq5fCwBYt349gqVbHL+uqnHs2b0LwWCh49eSkR3bawAAwdlzkOs3HrQKD1ShqlJL2B+LKsMv/rr169FO4LmVlZUlPN/quv6wbOkSHNwkNikcqgi3Ye269TjumPN9JxGFB6pQbXLP3ObQwWqUV6gIBoOR9225hftr6Vp1z2LN2vVoe9T7Z1FVlfhZxPadVNtr1rdlQOMcnAO7d+1EMLjf6+bYTtGhaF93m9KyChSzyoTXXn8w/P4tXrwEh1r7DI/Ztr0GDMCcObNNrsixfYc7c1iivi3e3sbs3BGeh2YGZ6NJnKikwoNVqKrwdkzVn9uixYtxMM5zk5HSsgoUKdE+WVFeiQNqBYLBYOS5zZ5t/bm5DQOwfYdzY5bpumRf+PkvWbwYe1vEnzcrKipx4FBFyn21tKwCxb7EY4kV1h0It//HRYtR2Mqd/rsm5p7taS6Xo8BpiouqUFYu1zpQFDuM4oZbL7Ej+00APuOcF8YLDQIAzvlrAF4DgIKCAh4IBGxoVnpQunIfsGI5Rg4bCiz7EX37FSAwpoej19Q0Dv7NNPQ+vhcCgRMcvZasbPFtAzaux8njx6NVbo7hMR/sXoqjvByBwIS459l/tBKYPRN9TyhAYLT5cwsGg0jUv4/V9YexY0ajb4cWpueLtGHOTPQTbIOTvL97CY7xioT3zG2mFa3E1rIiBAIBHF2xF1ixAmMs3F8r7CsJP4sTCgoQGOXts3hv1xKUscTPQm9vvxNSb69Z35aBWlUDvp2OPscfj0Cgn9fNsZ2vDq3EjvIiT55D08Wz0LlTGwQC8UPm+IaDwLLFGDJsOIb1aGt4zKKqDfBt32b6G5rM/Ab/z96dx8dV1Y0f/5yZydKmSdOm+76nLV1pS8tWAwhFEEU2FZTncUNFAVFceXys/lwekUd9EEFBBQEFtIhQoKwltIXudKVtuqd7kyZNm6TZZub8/pglk3Qyc2fmzr13Jt/365VXm1nuPZl75t57zvec7xk6bBhlZZNTKbYhser2muYdePbHL280FWoP7NrBRRdfTM/c6LdjT1Wuo8nVRFnZxQlv3yz+Hcfh/XXMOHcWM4YX21aOROWtfZshEXWyeOsK+hTkUlZ2Hqubd5BTuc/x5yyAnLeWMHTYcMrKJqVl+/HO3bXvH4LNm7jg/LmMLCno8nXFW1bQpzCPsrI5KZUnb83bDB7Uh7KyGSltJ8S3/ThsWMfMc2cxbZg19bdmffAzmzePESU9LdmnU7xwfCOHW2oz4rvVmRmN4qPAJACllAfQwaHUANcDI5VS3wWKAa9Syq+1fsKE/WaFs7NPp3/IQXce1hFiJHmFN0YSrs7bMS/RVuLDe521DJD9Q/06c7tcZy3Dka6676SENIlkT3dCea0QHjJpVmpTh4mcKmA1I4kJjeQ/MHoOMSupT6p8KazkYOT7ZySBWboZSZDmRF5fx2t4ZHZ2JyQwM8ruum40KZlZ66SbfR/hsuE6177kl2W7dAy3S9maGC4VZhyuN4ErlVJuAom2liulfqWUukJrPV9rPVJrPQr4LXCPNIg7smNJptB8x2xNNmOEkTkmfh1/7mF4DUHTGsUdy2eEkxJtObNRzFnLcKSrjI46FobWjTW3/jpd+Pg7PONsslwRS85YLaHEbmY0ik1a/iVVqazkYKRz1qftn/dqJEGaE3U+NpFzir0+5+W/6IqduQIgojM5TmeiWfP8vQaWE0yEx4brXPs87MyoY2ZyK+WIJIjJSDlSHBwa/RhQATQC1xCYR9w31W13B+FGsYWJtiRS3N7zHesG0siSNqETnp2RYo/Lug6VeIx8ZlbzuFx4fR0zjqY70ZYTjoWRxoUdCUjslMryOZnA7khxvJtmI41io+cQO//WSKmc8yJXQeiKkQRm6eakrPqJCHQMtjdKIhuXfgOdhk7hcZuTwCpZ1mefNnc0jx0jorL9WhOL221vJ04qTFmnWGv9IPBgxEM3RXnNQjP2lW1CF8O8nPiNNNP2Gf6ydr8erJBQuv+YkWIjkQ93eiLFiZxIQ4fRCSchI9F1q4WWPQHjWTST5XJYozje3+mk8lrBn+UdgnZGlPw6/jBiI41Ao+eQwFrz9tfbVBpXRr5/PgPTeNLNE77O2VqMhHVe2sftUrR6A3+E1wHD0o1y2Rx5MzrCxsi628b2Z25HkNkj+oxIZam2TOex8TqUqu7bKnIIO5Zkaj/BpX1XjhWOFMeMWMS/aJo9nzelSLEDbhA7z+FyArer/ULdPs8n+yPFXgNzHZ1UXitke++9W9l3M2JkqSsjc/sSihQ7YN5aoLzJ3UoZXZLJ7k4cV/g6l1mt4s5rPLtd7Y1LI+tqO4XH5jma7bk44ixRaVKEMJV5+tGEOnUkUmwNl0PyPSRDGsU28wVDg3mhOcUWnPhCFza3WaujZyAjkWJfQoljzLlZSGbNSydFip1wA9dZZPQsdBOdtkixw5KexRvO6qTyWiHbR8m43fbdjPgMdIiFG4Gx5tD6jDWKXQ6JRgTKm9x7XSp+o9gJU1IytfOsc+Mq8lrgM3neajq5bZ4qYDRplMukTjmz7yOMfM/MlkyAI1tIpFgkLXRvEE60ZUG0L9R+y5QLQjq4DczDNdKoaG8Um1OuZLLjOmlOsZHkTlaLjJ6lO8mcHQk9umKkt91J5bVC6Pyarf2BbmVf8imfgWHP4ZvTWHNodfzOSAjeeDlgdEzg704yUuyOf7NuZBpPujkpgWAiOl/DPR0axZnTYHHbmEAPjCeNMus7afZ9hB33SMkkTc0WdieGS0WW3hpkjlBvksftQilrvrShSHF3/LKGGB22Fu/EHHrarEhxMksGhV7qhGifM7NPB+YUa63TnmTOSUscGeltd1J5rRCKUGZrpNjuRFvxPlcjjUCfXxvqFLQ7ehaSyjnPbSBRo5Fh6emWyY3iyGPTOVIcr9PbKexOKpdIoi0zpjSYfR9hx3WuO0eKpVEskuaLiNpaNR8s1H5z2txPKxmZI2UkYqGU6jBPKVWh7SQynyZcBgfM9zIy5NxqkTd04WFgaSqjUgqXRZ1b8Ri5sQiV1wkJi6yQ7ZHi0Dndjmix3x9/GLHbwDBGo+cQt8s5SzIl3Sg2+Hmk63xlVPgcmmHnic5L+0R2pBhZV9spXDbXda/PeKPYjGuf2VMGwksPWlh/fd14RKaZ98RWy9Jbg8wR2ZtkVe+KRIojh412/RqvwbltZkYsfEnOeQ3UHVOKkBKnRoohcKFNJhKfKI/L5YgLgtFj4XG5HBFxs0L7+TY7L312LrFlJFJs6jrFDqm3qUWKDSbasjmimYmRYq01ft2xIed2ucKNy4xaksllTlbnZLV31sd+nRmNIb9fo7W5EVa7IsVKdc/gk9ul0Dozp2Vl551BBomcd2DV5HS/Ntbrl82MrLto9KLpMbEX15fksQmMMrC/VeyEG7jOwh0gur1RnM6673I54+bR6FxHlyszL17JyPZ5XkbWX0+H8PIjceewG8zlYKDeuh1Sb1MZHWOoUWxgqat0y8REW9HO9W7V3jAy2untBIEEVvbt3xdciUMZSDyaah1Jx7KJ4UixlY1ig7kRspGRpfecShrFNgs1ZFwuhcuieSPdOVV8iJHhNEaH8LhNTD8fGCpH3ItPZx4HRYrtvoHrrHOkOJnPNxEel8sRN49G1zftTpHiUCeY0+qoWYxk1U+H8Fz9eNnODWTK9xqst06JFKcy1NPIzaMTMvpnYpb6aB3M7ohzc0ZFit32dnobTUpmSqM4nOnazERb1tdfJ2SNt4uR9dedShrFNotMomFVpNjo/JBsFj5JxloaxODNiNuktfkgVB8S/1q6bb5ohjghKUxn4WiMTyf9+Sa6PydcDLx+v7H665DyWsGK4fN2CmfVt3hNU6MjMDwGEkv5DNZbpyz7kUrCJiNL+gUimvbeqhlJkOY00b7rkXXGideqrtidVM7K72Q6ztFmL51phM+XOfXLbHZO40mVNIpt5tPtveJWTU4PD5/O0miJEUZ6soxG2sxMkOb367hrAXZVBiecgIx+ZlaKTBLj18l9vonuz875XyF+v7GIaHdsFGdrh2CobWb1sDWfwWtKOFIcc0kmY1EiqxJTxuPTyY88cBvonA1ENJPavGmMJARzmmgj4iJH4znxWtUVt7J3SSajScnMaLyH3m/maB6zl840IvLevruxY11os0ij2GaRvUlul7Kkhz98sXDY3E8rmTlszcxGRdKRYpe9F80QJwz16yxy3p7XZ1WkOK27MCSRSLETOlSskPWNYncoEmttBfQZHH0UnlMc4wtiNCrllM4co+WNxkhWZyMJzNItExNt+aN81z0R10knXqu6YtZSR8ny+40vk5bqvN3Q+zM+UpxB9ctsmZiDIEQaxTaLXKTcqqy16TjpZJpQD17sYXzGE22Z9eUPzXlNlN0XzZBAfXbWaSXyBG3FPDLnJD0z1vHlVs5Y2sYK2T582khW/XQwmiCwvREYY1uGs087Y9mPVCKORhqbRpa6SjcjCdKcJlqkOHCd9Iefz5TcAnZ3ehuOFJswYq09aGNepbdjpIMTV+LhGiROAAAgAElEQVSwSujYZdL5IsRZd6/dUOQXx6qsteGTToZcENKh/eYx9Uaxy+RGsSeJi4GTbhDtvoHrLHIojzeYRTOdnBIp9nVao7Mr3TFSnK3D2tzhhEjWVkBvxNKCsRiJ2CSyTrET6m0qESEjjWIr8iDEYyRBmtNEixQHGpftzzttpYSu2F3XjXYmRy55lcq+wNz701DnsLVLMnXjRrEMnxbJ6phoy5psmtk+hNAII9k0jfaOeky8YCXbe+2UoYRen9/2G7jOPBEXRCsuVIFjYX+r2HD2dIeU1wrhLMlZeu6za5ir8URbxs67RhorTqm3qWSZNXLz6ISM/kYSpDlNtM7/yHwPmRYptvP6bnT5Krcr9TqSjnO0HY00o/eP2aj9PG//+TlRzrp77Yb8ESdml7JmHTVpFLc3lGJ93n6Dc7lcJkZp/UlGHey+aIb4U0g6ky6RkeJU1hQ1yuNSMYeHWsWfyPB/B5TXCqHvadZGih3eKA59F+Odd40niEugkGli9HsWjaF1ih0Q0QxdBp2Qt8KoqOsUu1R4aoFfZ86cT7szrfsSiBSnei8UOjeYeY42MnffbEbnYWej0LHLwDaxNIrtdnakOP21SBrF5kYsPCYmSEs26mD3RTPEm8LyJOkSOR/OirUDnRTBMp6wyP7yWiH0Pc2Um+FE2d0ojve5Gj7vGs7lYH+9TWVpHyNLHTlhGGY4UpxBvWfhOhlxPfJERoodsNSVUXZ3ehudImDGfUg6IsXhvCIW1l8nTHuwi0SKRdL8EUk6XBb1fEuj2FjKeJ82FrFwKRMjxUkmgnI5ZEkmo8sAWckdMR8ulaiO8f05I+mZ3+CSEHbfcFkpHCl2WB01ix0REUggUmwwl4ORemtmLodUpDK82W1gGo9P2z8MM3Q4nJC3wqhoS/u4VGBOsdahqTR2lS4xdp+jvQl+J3UK9STU0ZXpkeLA/aNlu3OU8Hk+g84XIaacEpRSP1RK7VZKrVVKjYp4vLdS6mml1I7gc+eYsb9s0jFSbE3Pd7SsjN2NkWyahntH3WYvyZREpNjtjAzCRpcBspK7U6Q43eWzO1NoSGKRYvvLa4Vo0aNsYmTd23RIpKM1Xg4GK6NSZkhleLM7zs1je+PN3vqqlMq4ESWhzzQyWhe5EoFPZ04kz+1y2VrXjU7rCicwTaGoocCQmddppRQuZXH2aQuWf3QqIyOCnCrlI6aUGgl8AigFfgL8MuLpVuBJrfXE4HMLU91ftom84FmVYbB9qFv3/MJC/GyaoZsRY5E28xKk+fz+pHpIzVgKIVVaa/zaeZ0tkUN5rEq0Zfex8Ps12uCxcEJ5rZLtibbsWh8ykRUN4nXCGF6SyQHnPEgxUhynE8NJo7oy7TzhDa+d3f5Y5FKMqSylZTW3sreBYTQpmTviWpv8voxlsk+U1fXXaHQ9G9nVOWsGM1pFlwBLtNY+YAlwfugJrXWT1vqV4K/7gT4m7C+rdG4UWxFhal9TMu27cqxwpLiLzzt07jQUaTMxQVqyy3s4ITrppBu4SJFDeazLPm3zsUhgWQsnlNcq4SQuWTp8OlTXnTp8OvSaeNNWjG7HCaNjfCkkbIo3rNPo+s9WyLT1zMNL+0SJFIeuBZnSOeaISLHBjPCB16eyr+C2TD5HW32+yKREbmYLHTu770mT4TFhGwOAEwBaa69Syq2UcgcbyZFuBF6LtgGl1G3AbQD9+/envLzchGJlhuPVzTQ1acrLy2k43UQDpP3v33rEC8C6tWs5VNA9W8anWgJf1u07Kig/s/es59uCJ88D+/dRXn445rYa6ps4o4wdt4aGhpivO17VTFOLTrgONNQ30dSQ/roTS6vP+GdmpW01gVPRuvUbOF7dltTnm4jG+iaaHXIsKivjHwuzyhuvbjvB1sNtAKxbu4YDPbPv3PfBiVBdf5/Te92W7XfvqcB+t32wldzqHTFfq/0+Kg8epLy8KurzDY1NnKhqjVuXqo63cKbZZ0mdi1W3GxqbqDZQ3mhONgdaANu276C8Yc9Zz7d4g9/j/XspLz+U8PZNpX3sP9D1cXOavXWhOrmFnKrtAOzfH/j+l7+znMYzyR83q1VXtXCmKX11Pd65u+pEM2fa4l839+8Lfr7LltHDk1yDcE/EcfMEj5sp/H72Vx6gvPy4eduMwehnlo22VQfaGGvWrad2t3XXITOY0Sju3BVw1jdBKTUTuBaYG3UDWj8CPAJQWlqqy8rKTChWZnhi/1ra6pspK7uYP+5chdfvp6zsgrTu88T6Q7B5ExfMm8eIkp5p3ZdT1Ta2wttvMGbsOMouHH3W802tPnj9VcaNG0vZh8bG3NYfdq7E74eysvNjvg4CDY9Y9fuv+9bgb2ylrOyiuNtKtgzpcqbVC2+8Zugzs1LenhpYu4qp06ez8tRedBKfbyIerliJxt5j0dgSOBbjx8Y/Fg9XrARSL2+8uu0EVWsPwpbNXHD+PIb1yb5zX+7uE7BuNdOmz2DemBLL9lt04CSsfI8Z06dRVjog5mvzlr3O4CFDKCubEvX53JVvMWRwP8rKpsfczhsnt/BB3TFL6lysup278i2GDolf3miq6puh/C3Gjp9A2byRZz1f39wGb77OhHHjKLt4TMLbN1PuO68zJMZxc5rCylpYtZIZ06fzoQn9Adj37j7YsY3zL7gQz9plDB08gLKyaTaXNL7Xarew/dTxtNX1eOfuP+1eTU6rl7KyC2NuZ69nH1QEPt/inrlJlaXX/vbjNj943MyQW/4ag4cOo6zMmtRGf9q9mrw2X9rv553ItbMa1q9hxoyZzB7V1+7iJMSMrvKjQD8ApZQH0JFRYqVUP+Bx4NNa6yYT9pdVvBFr4XrcVs0pDs7ZyNJkM0a0D1uL/nxoXoux5BLmLaWV/JJMqa8PmCqnzteMXPbEiuHTTkh6lkgyPTMTxTldex3NvigxOGFJpvifa7xEW4ksheeEOa6R1/BEhT6vrs4XTpqS4pTP26hoCZs8EcPVff7MuQeyO6mcz+DyQkaWGDOyLzD/PsLjtnYIutfvd8T31g7dOtEW8CZwpVLKDVwFLFdK/UopdUWwkfwM8H2t9Qcm7Cvr+CKy9Vo1t8+pjRcrtd88Rm/Mho6D0eQSZh03nz+55TdcDrhh8fmccwMXyR1xgvb60j/PxwnLYyVyY+GE8lrFl6YkLk4Ruim1+niGEqoYaRu6XbHXdTfaceWKsx2rpLK0T7wlmZy0UkSm5R4IdVR3WJIpMvu032/7UldGBZb5sy/zdyApWfzXGVnq0si+wPw6b/V1Ltl7uWxgV+esGVJuFGutjwGPARXA/wO+A4wE+hKYR3w+8HOl1MbgT3Gq+8wmkV8ct7LmopPtyWaMaM/SGv35RJZucbvMW6c42UimxwFJZ5yUFCZSOOlDcBmOdNd7T4YlPXNCea3ipMhbOrgi6rqVoi1/0xV3nHXdjd5Mekw876bCaBQtmlCksqvj5XdQfc20RnGovzvyGt5hSSYHLHVlVCCRpn37N7p8VWQkPpV9gfl13up7pFSWast0mdwoNmNOMVrrB4EHIx66KeL/T5uxj2wVeUGVSLF1jEaKDS9pY1LEwufX5OUkfoPlhOUynNrgiIwU+/ya/CQ+38T257J9KYL2Y2GgkeKA8lrFSZG3dAhdSyyPFCdyvowzXN9ncDiymUvhpSKVxlW8YYZOulZnWqM42tI+kWvWZ1L26cDQdfsixUandZmxFE+6ztFW3yNlUqeL2TK5UZydE6sySOclmayoROGhwd30Cwvt0cMuI8WJLGmjzIu0JRvJdMJyGeGGmMNGILQvE6FTWlPU+P7sX4ogkWXXnFBeq/gdOprBLPHWX0+XRCKa8UZEGR2O7HZZHxGPJpWbX1ecpUsSmcaTbmaOiLKCP8o13B3x/TC69JcTuFwqpWWOUuVPsFGcyvUkXaMjrF620qdl+LQ0ikXC7GwUZ0ovaTq4XAqluo4UexOYH+s2MUFa0usUu+3tSQbnRoojozFWRAc8Dohgtc/vNjLkzf7yWsVJkbd08EREwqyUyOcad53i7hgp7iKylsg0nnRzwmikRES7hrsjRlJkUiQv4yLFKdSTdEWKrU4U5/VlTv0ymxn1wC7SKLZZZG+lVT2xTp37aTV3jMQLiUSUzIzSJnuhtmo+eixObRSHRkT4tTU3Qi4HDDNMJFLscsB8dKtkez6FcCTM4oiemYkJA9fE+Pt02zR/urNUIkLtiZ+6mMajnVNfnTAaKRHRrkftI8R00is92MGlAnOKtU2ReqNJycyIEKYt0ZbF1zl/Bo1EMJsZIwbsIo1im0X2Jpk5NzUWp2YJtlqsToiElrQxsQcylURbdg9tc+p8zchojCVLMjmhURyeT5f6EjnZJNsjxe1zJq2NKiWWmLDrCK8Od1wZX/7FzrqrTehoi3XuTmSpq3TLtEhx6DON/K6HjlObz4/WzrtWdcVjQmMzFT6/NrR8lRnlTNuSTBZH2zOp08Vs3X1JJpGCyOGcVt1MhxsvDuh9tpPH1fWSHoncjJg57N2bZCbTeMucWMFJN3CRInuvvX5/2svnhIQ0Zg5nzSY+v0ap7M2nEG84brpES2rUlcB1LnaCQ6P1NvI9djDjBj5WYzORaTzplmnrmUeLOHoiGsWRvzud2+YOIKPTjtwmTN9IJElkIqy+zmVSIjez2dU5awZn3b12Qz6twzdoVg2f9uvsvjE0ymWgh95YwhfzTrZ+v07quDghCUoin5mVwjfPWuPX6a/3ThrKbmg4qwPKa5VsXzsycqqAlaIlNepK4Lwb/blEpvaEh8LaeN4LD29OsVHc5ZJMDprqlGnniajDp4P/b/UG1zB2wOdqhDtOQrZ0MzpFwG1Cor90Jey0o1GcKfXLbPES2TqZw25fu5/I3iQrl2Tqrj1YkWJF5hNb0sbsSHGSjWKHNMTM7uFNVWTSh0CkOM2NYhMTryUroYibA8prlUxKrpMMu4atJRLRNBIpTiSpj50jZNIeKXbQcH8nXGMSEW06T+j/Ld4MixTbPBzVZzBplNuEJeHC5wCTk8vZsSRTptQvs4WOnUSKRcIiIxdW9cT6/elfliYTxDpJJhwpNmtJpiSPjRPmeyWS3MlKkQl5/P70J60JfI8zJxO4mUuKOV22N4pdNiWfSjQxYdzOyESS+tgZKTYhj0KsxqaTlk/MtEaxoUhxhtwHRS4raAfD2acjEpmlsq/IbZnF6utctl9rYpFIsUhaxyWZXBIptlCsYWvtvcwGI8UmRSuSXpLJATcsiSR3spInovfakkixI45FYhE3byZevZKQ7clPbIsUmzSHPZlIsZ1L1ZjRKDYyYskJ12snnNcSEbNRnGFziu1OXGQ0k7Ip2afTNGXAqkS2Id26URyuB5l3X+Gsu9duyOvX4SyaHovWmu3OX9ZIsZZkSiRiYWb2Xm+yc4odMN8rdMFx2o1G5FAeo1k0U9qfA24eJdFWdNk+pK29rlt7PBOJaHpiDNcP11tDWaztT7RlRsZ9V4xzd+h+wAkRzcB65plzkxvtGt45Upwp90Eum+t6ousUp9QoTlOHhdXXOW+W56+Ixe5OnFRIo9hmkUOZXUphxTVHGsUBbnfXkeJEIgCxEnYlyq+TjBQ7IDOok9bUjBQ5lMeKREtOWB7Ln0gjxQHltYrPYMQjU5kxfDEZiUQ0XTHWu01kHWknNIr9JjSKY0WKQ/cDRjoJ0i1WgjQnirYawtmN4sy4BXbEkkyJNIpTuJ6E6pjZUwasTkbq9xtbWi4b2d2Jk4ruecQcJHIos1XrqHm78Zc1kifGepmJrLtp5lJaXp8/+XWK7W4UJ/CZWSlyKI8Vw2edEHmVSHF0RhPGZCq7EvIk0okYa2RNIvXW7oYCmJMIK1aHZiJLXaVbrARpThQtYVPoOLVk2PBpM5Y6SoXRETaeiGtt8vtKz7Gx+h4pchRod+OEc3OypGVks8gleFwuhV+DTnNvVqAHK627yAgu1XWPZiJRz9DQZTOOm18ndwPkVvZH+xJZBshK7Y3iUN3P/kZxIkvFOKG8VjG6tEimsishT8Ija0xILOWESLEZ57xY5+5ElrpKt8Awb7tLYZwvymcXOk4ZtySTCUsdpcLo8kKR19rk99VxW2axfEkm3X0T2johCWKypGlks86RYkj/iS+wTzn0HperywRZifRWhnpxzThsySaCcrtcaG1fdkpwVlKYSKHihCLFViTa8tt9LBKY3+2E8lrFijnldgo1AOxKtGV8SabUE0s5qVGcSkQo5pJMCSx1lW4ZGymO+OxCx6nF6wv87oDP1QgzljpKhdFIsRkJlnxpGh1hxzrFmVK/zOaE5fKSJS0jm0X2wFk19M3n9yNt4kAvsRk3I6FeXDOGvie74Ht7GewfSuiEG7hISqnwjWeyn28iwvM6bewlDR0LoyMdIDN7dROV7clPXC6FUvbNKTby2caKFCdyDrGrAyBSIt+zrsRavcCM7NZmccKyf4mIdg13Z2qk2KZcASFGz5tm3MOmbUkmC+uv1tbcaziVE87NyZKmkc18EYmVwkPf0nxz6tNIpJhAL3FXn3VC626GIsUmdKInvyRTKFqd2Uln0iWUZMOXZCKzhPZlUwbgSKF6YCiLrwPKaxUrhs/bzY7EaYnOKY47XDhDIsXh71kK11O3yxV3Go8TIk6xljB0ovYpUO2PdU605YTP1Qg763r7dd3Y8pSQWjn9fo1S6Ui05bKs/oZ2kyn1y2yhzlk770eTJS0jG4V6k0InG6vSmPv8ySVzyjYxh60lkfAl1Uix1jrpOcVOSIFvRtKZdPG4AmsU6iQ/30T3BZmTAMgJ5bVKYHpCdl/27JgjHspOqwxGk7paLzSRZd08DujMMWN4s5Hh5E64Xpu59KAVfMGpSJF1MvTdz7Qlmew8RyeyTJoZ5UzXFCcr66+TEuTZJdPOFyGm3B0opX6olNqtlFqrlBrV6bkvKKV2KaW2KqVmmbG/bBGqL6GhBqEhWOnuzbJiWZpMEKvnO5GEL6HXpBopTmQIYldlcELUxIlDhtxKtd8IpbnuuxwwHDmRpW2cUF6r+PzOrJ9msmPN8kQSmLlV/BE6mVJvE4lsd8VI4jEn3Fy7Mi1SHOW7HuoPa/VZcy0wi52Ji5L6TqZQT9KVoCrWeuBm86cpWVgmibX0npOl3ChWSo0EPgGUAj8BfhnxXA/ge8BM4NPA71PdXzYJ9SaFeuBC/6Y/Upz9QwiNCESKo7dkE0n4YlakODyXJomkLU6I9iUS5bGa2x3RKE5zoqXwsbAxyUR7pDj+Kd4J5bWKL8lEdpnEzkixER63gRE6hqJS9i5TA+aMjokVKXZSnoZMi/xE+66H6kxLmzXXArOYkcAqWQmNOjJh9IbPl75IsVXnCm+alpXKJJl2vgjxmLCNS4AlWmufUmoJHRu+c4E1WusGYItSqp9SqqfW+kysDR46eYamVp8JRXO2llCyh06R4t1VDZxsbE3bfk83ex1xkbWbWynqW9rYdbz+rOeOnmoGDPaOBj/LXVUN1MY5bocb/FH3B9DclnzvdbgMx+vpW5Cb8PvNcPRUU6AsDux9dytFTWNL+P9p3VdEfejTMyet++rK0brgsTDQ7WlWeWPVbaeob/Zmf6TYpahpbLX0WJxoaDF8TXEFR21EK19lTWP4NXG34wq95wzFPdL7PeuqbofLm0KdcitFfXMX16G6wHXICddrl0vR6nP+dzykpqH1rHN9qM5YdS0wS+j4V9acoSjf/Loe69xd3+IFDC6TFvw8j5xqTrqe1DS2puUc7XIpWrw+S+pv+DPLkPqVDi6XoqahJWPOFyFmNIoHACcAtNZepZRbKeXWWvsinwuqBgYC+2Jt8N7nt/LOzmoTipYZCvLcHf791COr0r7PuaP7pn0fTleQ52bl3hou/82yLl/TM9cdfzu5CR63FV3vD6BnXuJfy1AZPmlB3YnHyGdmtZ55bt7cXhX8vxmnvRj7yg1s/6Y/rkzrfowIlcXIa0wpb5y67QQXjC2xuwhp1TPXw+JNR1i86Yil+x1QmGfodQV5Hk41tcU87xYY+I4WBOvtPf/cZKyAqYpRtwtSOOf1zHOzZn9tzM+jR47959SCXDd1Z2IfN6cZWNSxTvbIcaMU4WtB6J7L6ULX1G/+I411Pc6520gdz88NfL4PvLWLB97alXRRBhXlJ/3erhTkujlpcf3NlPqVDgW5Hv698Qj/3mjtdShVSqc4R0Ep9W3Aq7X+TfD3I8DwYOT4RuAirfVdwedWArdorfd22sZtwG0A/fv3n/X//vA0p1oyL+yeDJeCqf3c5HkUrT7NlhO+lBY+N2pUbxcDemZ3wpl4apr87Knr+sMuylNM7Bv/pJbIcWtubiY/v+sTvtsFU/q5yUtwWJeVdScWo5+Z1Q7W+zna4E/6802EU45F7zxFqcn1N5Z4ddspsv3cF6rrVhtYoBhZFL++NbRqttX6oItLfJ4ncE2MF2Xxa83WEz6avcmUNjGx6rbR8nblRJOfvTGuQ0a/x+kW77g50aACxYhOdXLnSR91zTrl42aldNd1I/clU/u5yTVw3Qx9vqmIdtxSZXX9TeQzy0ZGr0Pfvfny9Vrr2RYUyRAzGsWfASZpre9VSnmASq310OBzFwFf1VrfEvx9NzBTa91lPL20tFRXVFSkVCYhnKq8vJyysjK7iyGE6aRui2wldVtkM6nfwi5KKUc1is3oLn8TuFIp5QauApYrpX6llLoCWAPMVEr1UkpNB6pjNYiFEEIIIYQQQggrpTy5Tmt9TCn1GFABNALXAPcDfbXWrUqp/wI2AH7gU6nuTwghhBBCCCGEMIspGWe01g8CD0Y8dFPEc/8C/mXGfoQQQgghhBBCCDNlb7YRIYQQQgghhBAijpQTbZlNKVVPYCi2ENmoHx2XKRMiW0jdFtlK6rbIZlK/hV1Gaq37212IkPQu2JmcCidlIhPCTEqpdVK/RTaSui2yldRtkc2kfgsRIMOnhRBCCCGEEEJ0W9IoFkIIIYQQQgjRbTmxUfyI3QUQIo2kfotsJXVbZCup2yKbSf0WAgcm2hJCCCGEEEIIIazixEixEEIIIYQQQghhiYQaxUqpYUqpV5RS25RSy5RSQ5RSY5RS65VSu5VS90a89ofBx9YqpUYppUqUUhsjfg5Hvj7ifVcrpSqCPx+JeHxG8D1lXZQtajmCz/VXSp3o6r1CgO31+3ql1Dql1Gal1PQo7zurHEqpezvtszldn43IbBbVbZdS6ndKqfJOjyd17lZK9VVKLVdKLTTtgxBZJ5W6HXxsVvD3LUqpB7vYx1nnbaXUl5VSW4Pve14p1bPTe1xKqYeC5dqmlPpJxHNSt4UhNtbvPkqp15RSG5RSbyil+kR531eVUtuDZbuzq/Km43MRIi201oZ/gP7A/OD/7wB+BfwFuA5wA6uBycBI4P3gY9cAz0bZ1iJgdpTHPwCGAoOBnQQa7pOAtcCrQFkXZTurHBHPPQ6809V75Ud+tLa1fp8DbAT6xihbl/U7+Pw5wGK7P0P5ceaPRXX7UeD/gPKIx5I6dwM5wf//GVho9+cnP879SbVuA69EvP9t4Lwo+4h23i4FcoLP/xW4Jcr7pgb/zQF2B7chdVt+DP/YWL+/A/x38PkfAd+J8r6rgB7Bn/1A72jltfszlB/5MfqTUKRYa12ttV4W/HU/0Af4EPCK1toHvBT8/RJgSfCxJcD5kdtRSvUDxmqt13V6fBRQp7U+rLU+ChwkcOHZCSwAjsUoXrRyoJS6Mvi+fYn8raL7sbF+3ww8qLWujVG8qPU7wheAJxL6g0W3ke66HXQv8JtOjyV17tZatxG4sVtu+I8U3ZIJdbse6KWUcgEFQF3k9rs6b2utK7TWbcEI8QhgR5SybQn+dwjQAtRI3RaJsKt+h94XfFlv4GSUsr2itW7SWjcBNUBhF+UVIiOkMqf4RuA1oEBrHRq2WQUMAgYAJwC01l7ArZRyR7z3M8DTUbYZfl/k9rTWvjgNBqKVQylVAHwX+EnXbxMiKsvqNzAFKFVKva+UelUpNTTKe6OVAwClVA5wNfBiYn+i6KbSUbfRWldFeSypc3dX2xMijmTq9neA+4FVwJNa652dttnVeRul1JPAUWC51np958IopXKVUlsJRPC+HyqT1G2RJCvr91+AGcHpMIMJjLiMSik1HvBorQ91UV4hMkJSjWKl1FUEekYXAZ3TV6suHot0K/BUlE1HS4Xd+b1dibbPnwL3aa3PGNyGEHbU715Ak9b6XOBfwEID743c5zXAUq11S5T3CRGWxrqdinj7FCKuFOr29QSmrzwJfFopVdjpdV3el2itPwsMJNCp+dnOL9Jat2qtpxCY3vJTpdRY43+REO1sqN9zCNyb/BGYSGAqTLRyeQhMBfhWjPIKkRESbhQrpcYB/wN8WmutgXqlVH7w6QEEepmOAv2Cr/cAOjikA6XUbKBKa30k+HsoWdCiyPd12l60cixQ7Ylfirsox7XAw0qp/cANwDNKqUsT/ZtF92FT/a4DFgcfWwZMMFi/Qz5PYE6bEF1Kc91OpByJ1G0h4kqxbt8DfF5r/TugHPhsIvclwYjdImBelLodes0xAsOlz03Dny+ynE31+5vAD7TWTxMYcflfXdTv3wCva63fjFFeITJCotmnCwkMnfuP4NwDgDeAq4PDNK4B3gz+XBl87Co6zp3pcAOvtf6Z1nqG1vqG4NCLfKXUUKXUYGA4gQQAZ9FavxZ83wytdV20cmitR2utR2mtRxG4aH1Ka700kb9ZdB821u+XCXTaAMwDthmp38EyDwZGa61Xmf+JiGyR7rqdSFmM1m0hjDChbrcBJcH/DwLqjZy3lVITg/tXwBXA1si6DbQppYYFX1MAXEgX9zNCdMWu+g2coX2aVuh9Hc7dSqkvAiVa65/GKa8QGcGT4Ou/DowDHgtcBzgDfJxAlOtXwF+01jsAlFKPARVAI4EvLcGeravoNMyikzuApSjF9gAAACAASURBVAQy6H09gV6mhdHKIUQCbKnfwXlpf1BKbQZqCSTe6mxhtHIQGM769yT/XtF9WFG3k7UwWjmEMCiluh18/ysqkIhoM/BMlH1EO2//UCk1k0CjYyXwp07vyQcWBRvEfuCPWutt5vzJohuxq37/GHhcKfU94BSBe43Ofg/sVUptDP7+awJZrDuUV2t9QfJ/vhDWUTKyQQghhBBCCCFEd5VK9mkhhBBCCCGEECKjSaNYCCGEEEIIIUS3JY1iIYQQQgghhBDdljSKhRBCCCGEEEJ0W9IoFkIIIYQQQgjRbUmjWAghhBBCCCFEtyWNYiGEEMIgpdQ18V8V9X1TlFLlcV7jVUptVErtVko9ppQqjPP6BUqp3GTKI4QQQoh20igWQgghDFBK9Qa+l8Zd1GmtZ2itxwE7gT/Hef2PAWkUCyGEECmSRrEQQghhzMPAzGA0d49S6m6l1Gal1Fil1J1KqbVKqe1KqS8AKKX6KqXeUEptBO4KbUQpNUAptSS4nT92sa9fAnOUUiXBn7eVUu8rpVYopXorpb4OnAu8p5T6hMFtCiGEECIKaRQLIYQQxvwA2Ka1ngEcBPporadprfcAj2it5wAXAt8Nvv5OoDz4+r0R2/kRcF/w8X5Kqcs670hr7ScQLR6vta4BPqK1PhdYD3xUa/0gcAS4QGv9vJFtCiGEECI6j90FEEIIITLUixH/v1Ep9U0Cnc19go+dC/w0+P83gAXB/18IXKyU8gO9gJFdbN8D+JVS/YE/KKVKgRJgV5TXGt2mEEIIITqRRrEQQgiRnGYApVRP4H+BmUAVcDTKa3Wn3xdoraO9juA2c4DxBKLF9wB7tNbXK6V+FqM8MbcphBBCiOhk+LQQQghhTCOBKGxneUADgeHMl0Y8viHi9/kRj78LXAuglMpTShVEbkwp5QJ+Dryota4DCoEPlFLuTtuJLE/MbQohhBCia0rrzp3X9iouLtbjxo2zuxhCpEVjYyMFBXKvKrKP1G2RraRui2wm9VvYZf369Se01v3tLkeI44ZPDxw4kHXr1tldDCHSory8nLKyMruLIYTppG6LbCV1W2Qzqd/CLkqpSrvLEEmGTwshhBBCCCGE6LakUSyEEEIIIYQQotuSRrEQQgghhBBCiG7LcXOKhRBCCBFbU6uPA7VnKB1UaHdRhBDCkLa2Ng4dOkRzc7PdRREWys/PZ9iwYeTk5NhdlJikUSyEEEJkkLX7a/n2PzdRWXuGJXddzMRBRXYXSQgh4jp06BCFhYWMGjUKpZTdxREW0FpTU1PDoUOHGD16tN3FiUmGTwshhBAZwOvzc/9rFdz0x5V4/RqPS/GPtYfsLpYQQhjS3NxMSUmJNIi7EaUUJSUlGTE6QBrFQgghhMM1t/n4zJ9X8+Dbu7nh3GG89o35XD55IM9vOESL12d38YQQwhBpEHc/mXLMpVEshBBCONz/vl7Bqr213Hf9NH5143QK8jzcNHs4J8+08db2KruLJ4QQGUEpxS9/+csOj5WVlTF79uwOj5133nk88cQTHR47dOgQV1xxBaWlpZSWlvLcc8+xf/9+evbsyYwZMxg3bhzf+ta3aGtrS/vf4UQtLS288cYbdhcjadIoFkIIIRxs9d4a/rRiH7fMHcFNc4aHH794fH+G9M7n2bUHbSydEEJkjvHjx/Piiy+Gfz9x4gQNDQ0dXnPgwAFOnjzJokWLwo/5fD6uvPJK7r77bioqKtiyZQtXXHEFAJMnT2bjxo1UVFTQ1NTEvffea80f4zBLly7ltddes7sYSZNGsRBCCOFQWmt+8PwWhvfpyQ+umtThObdLcc30Iby7+4QMoRZCCAOGDBmC3+/n+PHjACxevJiPfvSjHV6zaNEiPv/5z7N161bq6+sBeP3115kwYQIf+chHAMjNzaWwsGP2f7fbzX333cdTTz2F3+8/a98+n4/bb7+dmTNncvHFF7Njxw4AFi5cyO23387cuXOZOnUq69evB2DXrl3Mnz+fadOm8ZOf/ASA8vJybrjhBi655BLGjh3LAw88EPXv9Pv9fOUrX2HatGnMmDGDtrY2ysrK2Lp1KwAPPvggCxcuBAKR8u9///tMmzaNSy65hD/84Q/MmjWLqVOnsnfv3vBrfvOb3zBt2jT27NnDqlWrwuX985//TF1dHffccw9PPPEECxYsSOygOIRknxZCCCEcavvRevZUN/KL66ZSkHf2JXv68GK8fk3FsXqmDSu2oYRCCJG4Hy/+gG1HTpu6zclDivjRNefEfd0111zD4sWL+eIXv8jixYv5wQ9+wEsvvRR+ftGiRfz+979n165dLF68mJtvvpmKigpmzZoVd9u9evWisLCQqqoqBg0a1OG5f/7znzQ3N7NhwwbWrFnD7bffztKlSwE4cuQIq1evZtWqVXz7299m6dKlfPOb3+Sxxx5j9OjRzJs3j5tvvhmAFStWsHPnTtra2pgyZQp33nnnWeV49tlnOXPmDJs3b8bn8+F2u2OWu1+/fmzevJnrr7+elStXsn79en75y1/y5JNP8qMf/QiAkydPsnnzZgBuvfVWXn31VXr27MnkyZP55Cc/ybe//W22bt3K/fffH/dzciKJFAshhBAOUnW6mXX7awF4fdsxlIIPTxoY9bVTh/YGYOthc28uhRAiW1177bW88MILNDY2cubMGfr16xd+7vDhw1RWVjJjxgw+8pGPhIdQa63jNixDvF4vLtfZTaxVq1Zx5ZVXAoE5y7t27QpHlOfPnw/AvHnzwhHklStXcv3113PuuedSXV3Nvn37AJgzZw5FRUWUlJR0OX95+fLlXH311QCGyl1WVgbA6NGjueiiiwAYO3YsJ06cCL/mYx/7GAB1dXVs2LCBSy65hLlz54bXn850EikWQgghHOQHz2+lvKKK1+6ezxvbjjNrRB/6F+ZFfe2wPj3o3SOHLYdPWVxKIYRInpGIbrpMnjyZyspKnnvuufC84JDnnnuO06dPM3r0aPx+P7W1tTQ2NjJ27Fj+8Y9/xN12TU0NLS0tDBgw4KznlFJoraO+L3K4deg1brebjRs3dnhdeXk5eXnRrweRtNZnZX2O/L2pqanDc5HbzMnJOassAPn5+eH/Dx8+/KyyrVq1Km65nEwixUIIIYRDHKlrYumO43j9mnv+uYkPjpzminOiR4khcJMzZWgRHxyRRrEQQhi1YMECvve973Httdd2eHzRokUsWbKE/fv3c+DAAa6++mpefvllFixYwHvvvcfKlSvDr21tbe3w3ubmZu644w6+8Y1vRN3nRRddFE5EtX79esaOHRuOKL/11ltorVmxYgWTJ08GYPbs2SxZsgSA06dPJ5TV+oILLgjvK/S+fv36sWfPHrTW4WHbySguLiYvLy88P7mmpgaAgoKCs5KWZRJpFAshhBAO8czag2jglrkj2HCgDoDLJw+K+Z4pQ3qz42g9rd6zE7sIIYQ428c//nFKSkoYM2ZM+LFjx45RVVUVHj4M8LnPfY5FixaRl5fHiy++yB133EFpaSmTJ09mzZo1AGzbto1p06ZxzjnnMGrUKO6+++6o+7zuuuvo1asXM2bM4K677uKhhx4KP9erVy9mz57NV77yFe677z4gkAzr/vvvZ8aMGVx22WW0tLQY/vtuvvlmXC4X06ZNY/bs2fj9fu666y7uuece5syZ0+HvTsbjjz/Ol770JWbMmMGNN94IBIZgv/POO1x++eUpbdsuqqswvl1KS0t1RUWF3cUQIi3Ky8vD8zaEyCZSt1PX5vNz4f8s5ZwhRTz8mVl8+NfvUJDr4bW758d83+JNR7jj6Q28fOdFnDOkt0Wl7T6kbotsZmX93r59O5MmTYr/wm5m4cKF9O/fn6997Wt2FyVtoh17pdR6rfXsLt5iOZlTLIQQQjjAixuPUFXfws/njiQ/x83TX5qHkX7rKeFkW6cc0ShevOkIY/v3YvKQIruLIoQQtli9ejVf/vKXw78PGTKEV155pcvXpxKkTHRfIjppFAshhBA2211Vz3+/sJWZI4q5ZGIgQcvwvj0NvXdk354U5nnYevg0n5yTzlLGd7Kxlbuf3UhZ6QD+9B+OCQAIIYSl5s6de1YiqmzYVzaTRrEQQghho/rmNm57cj09ct08fMss3C4V/00RXC7F1GG9eXfPCfx+jSvB95vp9W3H8Po17x84GTX7qRBCiI4WLlxodxEEJiXaUkr1VUotV0otjPLc95RSW5VSm5RSHzFjf0IIIUQ20FrznUWbqaw5w+8+fS6DeufHf1MUN84ext7qRpbtqja5hIl5afNRAGobW9l7otHWsgghhBBGpdwoVkrlAEuAnVGeGwh8HpgOfAz431T3J4QQQmSqVq8fr689S/Qjy/ayZOsxvnflRM4fW5L0dq+eOoSBRXn8ecU+M4qZlJqGFt7bU8OC4BJS6/eftK0sQghnclqCX5F+mXLMUx4+rbVuU0pdA1wFjOr0dAuBhrcH6A3IFVIIIUS3dduT69h5rJ4HbzmXlXtquP/1Cq6eOpgvXjw6pe3melzcev4ofvVaBe/tOcHwPsbmI5vplS1H8fk1d142njX7alm7v5ab5gy3vBxCCGfKz8+npqaGkpISmVrRTWitqampIT8/uVFQVjJlTrHWuipa5dZa1ymlfgGsBXzAp83YnxBCCJFpdhw7TXlFNbkeF9c99B4A10wfwn3XTzPlBvGWuSN4cOlubn50dcrbStaY/gVMHlzErJF9WF8p/eBCiHbDhg3j0KFDVFfbO81DWCs/P59hw4bZXYy4TFunWCn1n8AorfXCiMfygLeAvwJXAhu01j+N8t7bgNsA+vfvP+sf//iHKWUSwmkaGhro1auX3cUQwnRSt+P76wctrDjs5acX9uClvW0MK3RxxUiPqRGTPXU+jjT4478wTcYWuxnSy8XLe1v55842Hri0J0W5mR0RkrotspnUb2GXSy65pFutU7wA2K21flQp9Rdgj1Lq/7TW9ZEv0lo/AjwCUFpaqq1aRFwIq5WXlyP1W2QjqduxnW5u4/alb3HtzGF88urpfDJN+ylL03YT1WtULf/cuZLWkvGUzXJ+hCAWqdsim0n9FiLAlOzTnSmlfqWUugI4AwxQgW7wQgKN8JZ07FMIIYRwqmfWHOBMq49bzx9ld1EsMXVYb8YN6MV3n9vMn5bvzZhEK0IIIbqntDSKgZFAXwJDpyuBzcAK4Lta69Y07VMIIYRwnL3VDfzmjV1cPL4fU4f1trs4lsjzuPnX7Rdw2cQB/PTl7azcU2N3kYQQQogumTZ8Wmv9eMT/b4p46qtm7UMIIYTIJK1eP3c/u5G8HBe/umG63cWxVFF+Dr/91AymLXydFbtPcMG4fnYXSQghhIgq3XOKhRBCiG6nxevjgbd28c91h6iqb+GhW85lUG/nL0lhtp65HqYO682afbV2F0UIIYToUrqGTwshhBDd1l/f28/v397DtGG9+ct/zuaqqYPtLpJtzhvdl02H6mhq9dldFCGEECIqaRQLIYQQJmpo8fJw+R7mT+jPn/5jDpdOHGh3kWw1b3QJbT7NhoOybrEQQghnkkaxEEIIEfTCxsN86Yl1tHiTj2o+tmIfJ8+08a3LJ5hYssw1a1QfXApW75Uh1EIIIZxJGsVCCCFE0Asbj/DGtuP8+vWdSb3/TKuXR5bv5fLJA5k+vNjk0mWmovwcJg8pknnFQgghHEsaxUIIkaAfPL+Fr/3tfVl7NQt9cOQUuW4Xjyzfy3t7TiT8/mU7T1Df7OVzF4wyv3AZ7LxRJbx/4CTNbTKvWAghhPNIo1gIIRJQcayev68+wMtbjvLM2oM0tfp4qHw3f3xnD8t2VuP3S0M5U1XVN3P8dAt3XjaO0SUFfOsfmzh1pi2hbbyx7Ti9e+Rw3ui+aSplZrrinIG0eP08tarS7qIIIYQQZ5FGsRBCJODh8t30zHVz7ohifv7ydj7x0Lvc92oFv1iyg1v/sobynVV2F1Ek6YMjpwGYPaovv/3UDKrrW7j331sMjwjw+vws3XGcSycOwOOWy2ukeWNKuHh8Px58ezenmxPraBBCCCHSTdYpFkIIgyprGnlx0xG+ePEYbj5vBAt+u4xjp5t5/HNzmDasmAv+5y2W7TzR7bMNZ6ptwUbx5CFFFOXn8I0Pj+f+13dyxTmD+Nj0IXHfv77yJCfPtHH5ZDn+0Xz3yol89Hcr+MUr27ninEExX9uvII+pw3pbVDIhhBDdnTSKhRDCoIfe3oPH5eKLF41mQFE+L379Ivr0zGFAUT4Ac0b15d3dic9DFc6w9fApRpX0pCg/B4Cvlo3j2XUHeWnTEUON4je2HSfX7WL+hP7pLmpGmjK0N5+YOZSn1xzk6TUHY75WKVjx3UsZWtzDotIJIYTozqRRLIQQBuw/0cii9w/x2Xkjw43g0kGFHV5z0bh+/GLJDqpON4df4yR7qxt47YPjVBw7zS3zRjJnlMx7jbT1yCmmDW3PGO12KaYO7R2OIMdyqqmNlzYf5YJxJfTKk0trV+6/cTr/ecEo/DGGpB882cSdT29g3f5ahs4YamHphBBCdFdy5RZCCAMeeGsXOW7F7WVju3zNheP6AfDunhN8YuYwq4pmSN2ZVj7++3epb/bSM9fNG9uO8/Rt85g2rHsuG6S15tHlewEoHVTElCFFHKxt4tPnjejwutKBRSzZeowzrV565npo9frJ9XScL+zza+56ZgM1jS3ccelMy/6GTOR2qbhLVU0d2pvv57pZX3mSj0ujWAghhAWkUSyEEATmCze3+c+K/gLsOl7P8xsP86WLx8SMAE8eXERxzxze3V3juEbxn5bvo77Zy+KvX8SAojyuf/g9/uMva1hy13wG9XZeVDvddh5v4Oev7Aj/3rtHYMj0lCEd57GWDuqF1rC7qoEct4uPP/gu//zK+R0adg8u3U15RTU/+8QUZo2U6HuqPG4XM0YUs77ypN1FEUII0U1Io1gI0e15fX5u/csaDp1s4huXjef2S8bhdikgEAX8/r+2UJjn4cvzx8TcjsuluGBsCct3VfPq1qNWFD2uvgV5jOlfwGPv7uPqaYPDyYv+/B9zWPDbZby85ShfuGi0zaW03qq9NQC8dMdFHKlr4tHle9lxrJ5pnZI7TRgY6CSpOFbPsVPNtPr8vLHteLhRfLq5jUeW7eHqqYO5Ze5Ia/+ILDZrZF8eXLqLxhYvBTIcXQghRJrJlUYI0e0t2XqMypozzBxRzP++sZPfvb2bocU9uHbGUFwK1lWe5Nc3TaekV17cbV1SOoBXthzjK0+9b0HJjcnzuGj1+fnGZePDj5UOKmRs/wKW7azulo3i1ftqGFrcg3OGFDFlaG+uOGcQfr/GFewMCRlZUkCex8XO4/VsOXwKCAyPv4dSABatO0Rjq4+vfKjrYfUicbNG9sGvYePBuvC0BCGEECJdpFEshOjWtNY8VL6HMf0LeO4rF/Dm9uOsP3CS7Ufr+c2bOwH48KQBfGKmsbmN1587jJkjimnzGVvbNt12VzXw0uYjTBhYyPiBHYeGz5/Qn7+vPkBzm4/8HLdNJbSe1ppVe2spK+2PUu2N4M4NYgjMgR0/sBebDp5i48E68jwuNh86RX1zGwW5Hv66cj+zRvaR5YNMNmN4MUoFlrmSRrEQQoh0k0axEKJbe2dnNduPnua+G6bhcimuOGdQeA3VjQfreGHjYW4vG9eh8RSLy6UYN+Dsecl2mTS4iGu6WE7oQxP689i7+1m9r5YPdaNlhHZVNVDb2Mq8MSWGXj9hYCH/ev8wAF+eP4Y/LtvLmn21AFTWnOGeK0rTVtbuqnePHCYMKOS9PSe4Ze4I+hbkGv4OCiGEEImSRrEQolt7uHwPg3vnc22ULLczhhczI06m3Ew2b0wJeR4X71RUd6tG8ergfOJ5o401iicGk695XIovf2gsj7+3nyVbj7FmXy1Di3tw5ZRBaStrdzZ3TF+eWFnJrJ++SZ7HxdDiHnz90nFcd66zktgJIYTIfNIoFkJ0W+srT7J6Xy0//Ojks5bZ6Q7yc9zMHVNCeUUV186MHk02at8pH30P1ZlUsvR6a0cVQ3rnM7xvD0OvDyXbmjG8mL4Fucwe1YdF6w/hcSme/fL55Li7X92xwneunMiF4/pxpK6JI3VNvLenhu89t4XJQ4qYOKjI7uIJIYTIIqY0ipVSfYEXgLe01gs7PTcCeAgYCjyvtf6JGfsUQohUPVy+h+KeOXxqznC7i2KbS0v7s3DxNj724Lupb2ylCduwyA2zhhkejhtqgIXmtl44rh/v7q7h3qsnMWtkn7SVsbvrledhwTntUfiahhYW/HY533hmI//+2oXdah68EEKI9Eq5UayUygGWAFu7eMnTwE+11ktS3ZcQQphl1/F63tx+nLsuG9+tl3y5ee5IRvfvhdfnT2k7W7ZsYerUqSaVKv0SacwO6p3Pk184j5kjAu/57LyRjOvfi8snD0xX8UQUJb3yuO+GqXz+8XUsWn+Iz8yTJbCEEEKYI+U7Qa11m1LqGuAqYFTkc0qp8YGXSINYCOEsr2w5hlJw6/nd+8Y61+MyZT6x+/h2yiZlbyPx4vHtn1Fhfk44GZuw1iWlA+jXK5eNB+ukUSyEEMI0pkyE0lpXdfHUFKBGKfWqUmqjUuoGM/YnhBCpWldZy8RBRYbWHhZCOINSikmDi9h25LTdRRFCCJFF0j1msBeB6HEZkAusVUq9pLVujnyRUuo24DaA/v37U15enuZiCWGPhoYGqd8O4PNr1u49w4VDPXI8TCJ1W1il0NvKe8faeHPp23iirC1tNqnbIptJ/RYiIN2N4jpghdb6JIBS6ggwGNgX+SKt9SPAIwClpaW6rKwszcUSwh7l5eVI/bbf1sOnaH59BR+/cCplXazhKxIjdVtYpb7PEV7Zt4HBE8/lnCG9074/qdsim0n9FiIgLetIKKV+pZS6AlgOnK+U6qWU6gMMAg6nY59CCOHza0PDKtfurwVgzijJHCxEppk8JJAN/AMZQi2EEMIk6VpccSTQV2tdB/wMeI9AA/nbWuvWNO1TCNHN/W7pLq56YDn3Pr+FVm/X2ZTX7T/J0OIeDO5tbJ1aIYRzjCopoGeuW+YVCyGEMI1pw6e11o9H/P+miP8/Bzxn1n6EEALg7YoqBhXlM2lwIGrU0OLlLyv2Mbh3Pn9bfYDKmjM8+YXzzlqLVmvN2v21nD+2xI5iCyFS5HYpJg4qlEaxEEII03TfxTmFEBnrREMLtz2xjjyPm6e+OJcZw4t5alUlp5u9PPmFubx/4CQ/XryN1z44xoJzBvE/r+5g44E6APxaU1XfwuxRfW3+K4QQyTpnSG+e33AYv1/jsiDZlhBCiOwmjWIhhKNpraltbO2wdNKi9Ydo82lKCjzc+ufV3DBrOC9uOszF4/sxfXgx5wwp4slVlfzmjV0cOtnEH9/Zy/RhvcnPceNSirLS/iyYnL1r6gqR7SYHv+M/fXk7BXnutO5rf2Ur61srYr7mTKuPPdUNDC3uwc8+MTWt5RFCCGE+aRQLIRzt0eV7+cWSHfzw6sl8/qLR+P2ap9cc4LzRffn1TdP52t/e59m1B2j1+bnrsvEAeNwu7rpsPHc9s5GfvrydD08ayKO3zjprKLUQIjOdP6aEwjwPj7+3L/6LU6Q1qL27Y74m1+OiINfDOzur+eFHJ5Ofk96GuhBCCHNJo1gI4Vg1DS387q3dFOR6+MlL29hV1cDUob2prDnD3R+ewLA+PXnh6xcBnDWM8pppQ3i4fA8nz7Ry3w3TpEEsRBYZ1a+ALT9eYMm+jC5Z88LGw9z1zEYqa85QOqgw/QUTQghhGmkUCyEc63dLd9PY6mXJXfN5du1BHn9vH0+vgT49c7hyyqAOr+08r9DlUjxz2zy0hj4FuVYWWwjRDY3t3wuAvdUNlA4q5NipZgrzPRTkya2WEEI4nZyphRCOdLiuiadWVfLJOSMoHVTIf18zma+UjeG1rccY3renoeGJxT2lMSyEsMaofgUA7D3RiNaaa3//LheN78f9N063uWRCCCHiSdc6xUIIkZJ3Kqrx+jVfuGh0+LEBhfl89vxRlJUOsLFkQghxtl55HgYW5bG3upHKmjMcO93Mki1HaW7z2V00IYQQcUijWAjhSGv319KvVy5j+xfYXRQhhDBkdL8C9p1oYNOhwBJwja0+3t5RZXOphBBCxCONYiGEI63ZV8t5o/tKgiwhRMYY078Xe080suFAHT1y3JQU5PLS5qN2F0sIIUQc0igWIkFtPj8/e3kbu47X212UrHXo5BkO1zVx3qi+dhdFCCEMG9OvgLozbbyzs5qpQ3tz1dTBvLXjOI0tXruLJoQQIgZpFAuRoEeX7+XR5ftYtP6Q3UXJWmv31wIwZ7Q0ioUQmWNMcLrHvhONzBhRzDXTh9Dc5mepDKEWQghHk0axEAmorGnk/97cBcDWI6cs3XeL10dDN4k2rNl3ksJ8DxMHFdldFCGEMGxMv17h/08fVsyskX3I87jYeLDOxlIJIYSIRxrFQiTgx4u3keN2cenEAWw9fBqttSX7rTrdzOW/XsbnH1tryf6sdqSuiYO1Z8K/r9lXw5xRfXG7ZD6xECJzDOvTgxx34Lw1Y0Qxbpdi/MBe7JTpNkII4WjSKBbCoNrGVt6uqOLzF47i0okDONXUxuG6prTv91RTG7f+ZQ0Has+wZn8tVaeb075PK3l9fm7502q++rf1AJxoaGFPdSNzZD6xECLDeNwuRvTtSb9eeQzpnQ9A6cAidhyTRrEQQjiZNIqFMGj5rmq0hssmDeScIYFhvVsPn07rPn1+zdf//j57qhv4r6snAfB2RWBumlVR6nR77v1D7DvRyAdHTnOqqY11wfnE58l8YiFEBvrknOF87sJR4cz5EwcVUl3fQm1jq80lE0II0RVpFItuY+3+Wq576N2k5+WWV1TTtyCXqUN7M2lwEW6XYlua5xX/35s7Wb7rBD/5+BS+wVE2lQAAIABJREFUcNFoBvfOZ+mOKo6dambuz9/ixU1H0rr/dGvx+njgrd0U98xBa3i/8iSr99WSn+Ni6tDedhdPCCESdtv8sXztknHh30sHFQKw41h6O1GFEEIkz2N3AYSwyiPL9vL+gTrW7qvlkokDeHHTEZZsib9+ZOmgQu64dDzLdlYzf3w/XC5FvsvN2P4FbD2SvpucNftqeWDpbm6cNYxPzRmOUopLJw7g+Q2H+e8XtlJV38LiTUf42PQhaStDuj279iCH65p49NbZ3P639azZX8va/bXMHN6HXI/02QkhMl+oUbzzWD0XjO1nc2mEEEJEI41ikVX+vvoAT62q5MipJvr0zGXm8GK+8eEJ9Mr38HZwSYw1+2spK+3PL5fsoKHFy8CivC635/Vplmw9xu6qBmoaWykrHRB+bsqQ3qzYfSJtf8sLGw9TkOvmJx+fEh6Gd9mkAfxt9QFe33ac3j1yWLmnhjafnxx35jUgtdY8/u5+Zo4o5sOTBjBlaG/e3lHFzuP13HHpeLuLJ4QQphhQmEdxzxwqjtezvrKWh8v38LtPn0uPXHfK29Zas67yJNuOnMbn13xm3kjpUBRCiCRIo1hkjZ3H6/nvF7YyYWAhV08dTFV9C699cIztx+q5buZQvH5N/8I81u6rZU91A4frmvjZJ6Zwy9yRXW5Ta82dz2xk8aYjKAUXj2/v5Z88pIh/bThMVX0zAwrzTf1btNa8s7Oa88f263DjdMHYfuTnuBhUlM/dl0/grmc2suFAXUbOv31vTw17TzTy65umo5TivFF9+eOyvYDMJxZCZA+lFKUDC9l+tJ4f/vsDth09zeJNR7hpzvCUt72+8iQ3/mFl+Pflu6p5+DOzyM+J3+B+ZctR3tx+nF/dMF0y/Qshuj3pThRZQWvNf/17K73yPTz1xbn87BNTefTW2Tzw6ZlsP3qaX766g8mDi7hu5lA2HzrFax8cB+gQ+Y1GKcX/XDeVCQN7MXtkH0p6tUeVpw0rBuC93TWm/z37TjRy6GQTH5rQcahdfo6bhz8zi0dvnc0lEwfgdimW7aw2ff9WeGpVJX165nDV1MEAzA5mm/a4FDNHFNtZNCGEMNXEQYVsPFjHtqOnyc9x8bc1B0zZ7rajgSk8S+66mF9cN5XyndV8/e/vG3rv02sO8K/3D/O31ZWmlEUIITKZKY1ipVRfpdRypdTCLp7PV0pVKKX+04z9CdHZi5uOsGZfLd+9ciJ9C3LDj182aSA3zx2B16+5YdYw5ozqS6vPz59X7GP8gF4MLe4Rd9sFeR6ev/1C/vKfczo8PntkH8b0L+CRZXtNzwQdauh+aMLZjfZLSgcwfmAhRfk5zBxezLJdmdcoPn66mde3HefG2cPDEY3ZI/sAMHVYb3rmyiAWIUT2mBCcVzxpcBHfXjCRTQfr2Ho49USNO4/XU5jnYeKgQj593ghuu3gMb+2o4kxrIKHkG9uOsyvKGsl+v2bjgToA7nu1guNZttSfEEIkKuVGsVIqB1gC7Izxsh8CB1PdlxBdWbLlGEOLe/DJ2WcPR/vh1ZP5r6sn8anzhjN7VKDhVdvYyocm9De8/YI8D4X5OR0ec7kUX54/hm1HT7N8l7lzi9/ZWc2okp6MKOkZ83XzJ/Rny+FTGbHUxwdHTrH18ClW7qnhk39ciQJuPm9E+Pk+BbncNHsYn54zouuNCCFEBpo9si+5bhf3XjWJG84dRn6Oi7+bEC3edbyB8QN7hfNOzBxRjNaBx70+P3c8/T73v15x9vuqGqhv8XLnZeNp8/n56lPr2VPdkHJ5hBAiU6UcjtFatymlrgGuAkZ1fl4pNQ0YAaxIdV9CdGXjwTrmjumLK8q8qP/f3n3HV12e/x9/3dnJySKTEAIhJIS9l7jAibPWVVe1P2u1y/Zb+221ar+101bb2t1K66i2oq2jjqICahwM2XsFQkiA7AEZZJ7798c5CQFOyCAnJ+P9fDzOg+RzPuM64c7JuT73fV93aJA/d52bBkBYEGQmRrC7qKrDodOdcc20ZH69bA+/ey+bzvQVby1pwnQw3Nlay+qccm6YObzD880bHcuvl7nmlV08PrGTUfe+Q5XHuOr3n+B0/5CSo0P5x11zSI1znLDfY9dP8UF0IiLelTk0gm0/vLS1CNblk5J4c9NhfnT1BALOoFDi3uJqLhp3/L0/c2gkALuLqggJ9Keu0cm63Aqsta2JM7j+ZgBcOy2Z0fEOHn5tGwt/8xHXz0jh9rNGMi4pstsxiYj0Rz0yRtFaW9z2zbaFMcYP+CVwO/Dl9o43xtwN3A0QHx9PVlZWT4Qlg0RFnZPCo3WE15V2qu2MCKknPwCO5W8l69CZFxeZn2R5aXcFdzy9pnMHrO/cfvENhWRlnb4HurrBlWUu/3QLgcWBp93Xl97e34jTwv+b6BraPivRUJe3layemVYnfUB1dbXeu2VA8kbbjm9qoqq+iX+89QGpUd2rQn20wVJW04CpKmqNz2ktgX7w3rodZO92JdtlNQ28tOQDhjqOJ99LttYTEQj7t64hyhh+Mi+I17IbeHldHovX5PE/04OZmqBpLCcrO+akuNYyLvbMK4f3FXrvFnHx9jvevcBr1tpCT0lzC2vtImARQGZmpp0/f76Xw5KB5J1tBcAGrr9gJtNGDOlw/1lnNVFe00BKzOmHJnfWuedZbjl0hCZnx33FGzdsYNr06R3uFxLox/ikSE73e9Pi4dVL8Ysayvz5kzoVry88sX0FE5ND+MFt5/o6FPGSrKws9N4tA5E32vaYymM8ueV9nLFpzD9nVLfOsTqnDN5fzWVnTz1hOlDmto+pDQyiMSIcY3KxFvwSMpjfptr1j9ZlMSc9lgULZrZu+8ylUFnbwFmPvk9V2DDmzx/f/Rc4AGTtLiY+IviEv8U3LVrFloNH2PbIBR5HpvVHeu8WcfF2UnwdMNIYcz8QDTQZY5zW2ue8fF0ZRDbmVxLk78f4YZ0b7uUIDsAR3HNN39/PMCWlc9WSq/b7M2Nkx4l7V6TGOjhQVtOj5+xJ+eW1bM6v5P6FY30diohInzAsOpTk6FDW5pZzZzeT4uxi1xzgjITwE7aPSYxgxd5S6hqbmT5iCDkl1azJLW9dAqqipoGc0hqu9zBFJzosiNQ4B/tL++7flN7w7vZC7nl+PeCa7vPk52fQ0OxkdU45AAcrjnVY88OTytoGnvpkP5+dlkxafHjHB4hIr/FKUmyMeRxYZq09r822R4BcJcTS0zblVTJuWCTBAQNnOFNXjIpz8GlOzy8LdaZ+uzybzQcrGRbtWsP5CvfSSyIi4lqP/ePsklPm+3bW3qIqwoMDSIoKOWH72KERvLrhEBW1jdwyewQxjiDW5Za3Pt8yn3hGOyOr0uIcbD985pWx+6ujdY383+vbGDs0gjvPGcUTy/Zwz/PrGRXnwM+A07qqfnc1KV65r5T7XtpM4dE6lmwt4M17z6GxybKr8Chz0mK99GpEpLO8tU7xSCDGS+cWadXstGw9dIRpneypHYhSYx0cPlJHXWOzr0NpZa3lhTUHeH9XMf9Yncek5Khu3VUXERmoZqXGUFrd0O1e2T1F1aQnhJ+SUI9JdC3/1NDkZMKwSGalDiG3rJbiqjqamp385r09xIUHtTvCKS3eQX7FMRqanN2Kqz+z1vLokp2UVNXzi+smc+PMFP5y2wxKqur5ZG8pd8xLBY730p/O0bpGct3/t+sPVPCFp9cSFuzPD6+eQE5pDfc8v56Ln/iQzy1azfu7irz5skSkE3qsp9ha+2ybr2/08PwjPXUtkfUHKvj+f7aRnhBObUMzUwdzUhznSjYPlNWS6V4L09cOH6mj6Gg937wwg7rGZs5Oj/N1SCIifcrsUa6e2rW55d0aSptdXM2CzFOXFmz7d2BiclTrDdPnVh4gNMifbYeO8sdbpreuEX+ytHgHzU5LXnkt6QmDZ4ivtZZH397F4jX53HNeWutNgykp0fz8ukk89cl+7r0gg3e2FXpc+7nted7aUsAP39xOeU0Dt80dyZKthSRFh/DqV+YRHRZEWU0Dv3svm7FDIwgPDuD/Xt/OWWlxhAYNzhFvIn2BSgtKv7Mhz1XpOSTQj70l1RhDj8/T7U9GuZc12l9a02eS4g3u4XkXj09kYnKUj6MREel7RseHMyQskGdXHmDH4aOn3XfM0AhumT2itVf4YEUtpdX1Ht/zh0aGEBESQH2TszWpPTcjjj98sBdwvS9fPmlou9caFec6JqekelAlxU8s28Oij3L4/NyRp9TAuHb6cK6d7pqDnZ4Qzp7i9pPiN7cU8I3FG5k8PIoLxyby3KoDhAcH8MKX5hAd5lqB4ZsXZjB3VAwzUoewMa+Smxat5g8fZPOdS1V7Q8RXlBRLn/e3j3PILavh4SvGs6uwijueWkNseBAv3X0WoYH+HKys7bFK0v1Ry1q/uX2o2Nb6AxWEBvozto8k6SIifY0xhhtmpvCvdfm8vvlYu/s1Oy1VdU1U1jbytQXpALy4Jh9jYOHEU5NbYwyTkqNoaHIS6F4D+bk7Z/NxdilLthZw38VjTjuHueVGa84gK7b1+ubDnDcmnh99ZsJpfz5jEiP456cHcDqtxwrU7+0sIj4imNe+ejb+foZb5owg0N+vdVg7uAp0znOPoJqbFsvVU4bx9Ce5fPPCMa1rWYtI71JSLH2atZYnP8qhpKqeHYePkl1czRBHEIu/NJeh7uIiUWGDuycyMiSQWEdQ69ylvmBjXgWTh0cR4K8/7iIi7Xnw8nE8ePm40+7jdFru+9cmHn93N/ERwVwzNZkX1+Zx4dgEhg/xfEP4ic9NxbZZJdAYw3lj4jlvzKnDrU8WFRpIXHgQ+0tcf1Pqm5oHfCHL6vomDpTVct304R0WPRuTGE5do9NjBWprLatzyjgrLRZ/d8LcmdUprpycxBubD7Mxr0JFt6TXrc4pY8rw6EE/fF+fWKVP21dSQ0lVPRePT2TLwSNEhwWy+O65DIsO9XVofUpfWkKjrrGZ7YePMn0QD2kXEekpfn6Gx66fwrkZcdz/yha+/e/NlFY3cOvcke0ekxgZ0nrjuDvS4sLJKa3m+VW5TPnhUt7dXtjtc/ma02lZtqOI/PLadvfZXegavj4uqeOlHdMTXD2+ezzMK84tq6XoaD1zu5jYzkmLxc/Ayn19byUJGdiyi6q4adFqnl6x39eh+Jx6iqVPW+VeaujhK8Zx/8JMYhzBxDiCfBxV35Ma6+CTvSW+DgOArYeO0OS0TG9nuQ8REemaoAA/Fn1+Jnc/v443Nx8mJSaU8zM67vXtrrR4B0u2FvBY4W6ami1f/ecGvnVRBkOj+tcNaafT8sKaPDblV3LphESe/PxMj/vtKHAluOOSOp7yk5HommedXVzNReMTT3hutfszy5y0ri3AEhUayKTkKFbuK+VbF4/p0rEiZ2LJVtcNr4/2lPC1Bems3FfKE8v28Pc7ZxMWNLjSxMH1aqXfWbWvlGFRIYyICevWOo6Dxai4MF7ZUM8XnlmDr39KBUfqAJg+YvBWBBcR6WmhQf789faZ/PS/Ozk3I87jfNaeMirOwdG6Jvz9DK98ZR6Pv7uLXy7d47XreVNceDBTU6JZsbeMhianxzm7OwuOEhkSQHInRqFFhgSSFBXisQL16pwy4iOCSXPPy+6Ks0bH8bePc6htaOJQxTHiI4JbC3OJeMvb2woAVxHb6vomnv4kl7W5FSzfWczVU4b5OLrepaRY+iyn07I6p5wFmQlKiDtwwdhEPthdQnlNg69DISjAj5tnpxAbHuzrUEREBpSQQH9+fM1Er1+nZYmoW2aPYGpKNM/fOYdDle0XA+vL4iOC+XBPCfc8v551B8qZN/rUJQJ3FRxlbFJkpz9rzBg5hLe2FHDV1GEsyEwAjs8nnpsW263PLPNGx/KXD/fxxLI9PLsyl9Hx4bz21bMH/TxP8Z7c0hp2FVZx4dgE3ttVzNLthXy4pxiANzcfVlIs0lfsLqqivKaBs0ar6ERHxg+L5JWvzPN1GCIiMgCckx7HvRekc9c5aYBrXnN/XuXh7PQ4Av0NH+4uOSUpdjotuwqruHFmSqfP99NrJpFbVsM9z6/n2S/MYl56HPtKqt3zibs2dLrFrNQYAv0Nf/14PykxoewuquKh/2zlVzdMUceAeMU77loBD10xjhX7Snn07V00NlvmjIrhw90lHK1rJDIk8LTnsNby360FFB2t54vnjOqNsL1Ghbakz1rlLjihpFhERKT3hAb58+1LMokKO/0H4v4iPDiAmSNjyNp9au2NvPJaahuaOzWfuEVUWCD/+OIcRsaE8a1/beJoXSOPv7ubkEA/Lhyb2PEJPAgN8ue8jHhGxITxypfn8Y0LMnh1wyHe2Hy4W+cT6cjb2wqZPDyKtPhw5oyKpaSqnlFxDu6/bCwNzU6Wbi867fHlNQ3c9fd1fP2Fjfz4rR28s63/FuQDJcXSh23IqyA5OrRTc3xERERE2jM/M57dRVXkltZQ19hMXWMzjc1OdhZ0vvJ0W9FhQfzyhimUVNVzx9NreHd7EfdekHFGVb//cMt03vv2+SREhvDNCzMYnxTJb5dn0+y0HR8s0gXFVXVszq/kEnexuHMzXCMorp4yjGkp0SRHh/JmBzdkfvTmdj7OLuXhK8YxYVgk3399G0dqG70eu7coKRafO1hRy/0vb+Gzf1rBxb/+sHVpoS0HjzAlZXCvQSwiIiJnbsFY19zf+b/MYuz332Hs998h46G3ue9fm/EzMCax8z3FLaakRHPn2aPYmFdJWryDL52bdkYxhgb5E+jv+mju52e494J0ckpreGuLeoulZ7WMmmj5vbhichJnp8fyuVkpGGO4bnoyH+4pYVN+pcfjN+RV8J9Nh7n7vDTuOjeNX1w3mfKaBh57d1evvYaepjnF4lMvfJrHj9/aAcC0EdFszKvk3e2F3DQrhbzyWm6ePcLHEYqIiEh/NyYxgl/fOIWio/Wt2+qbmjlUcYyUmDBCArtX0Oq+S8Zw5Fgjt80d6bGy9Zm4dMJQxiSG8/v39zJ8iHdGzWVXNBNxoLzD/UIC/RnfhWJk0rd9sKuYoZEhjHePkEiKCuWfd81tff5L56WxeG0+P3hjO699ZV5rtftN+ZVU1zXxy6W7iY8I5ivzRwMwMTmKi8clsmJvae+/mB6ipFh8prK2gR+8sY0ZI4fwqxunkhwdykW//pCV+8qYMMz1Szp5uHqKRURE5MxdO314j58zLCiAx2+Y0uPnhZbe4gzuXbyR6/68yivXAODTzp37H1+cwzkZp1bvlv6locnJx9mlXDUlqd2bHBEhgTywcCzf/vdmXt5wkBtnprD98BGu+eOK1n0eu24yjuDjqeSYoREs3VFIXWNzt28y+ZKSYvGZd7YV0thseejy8a3zhueNjuXl9QeZMWIIABOHKSkWERGRwenKyUkMjQrhWEOzV86/ZctmJk8+fVLvtJav/nMD72wvUFLcj5VU1ZNTUk2z01Jd38R893Ji7fnstGT++ekBHntnFwsnDmXRRzk43OulB/j7MSt1yAn7ZySE47SQU1LD+GFdm6PfFygpFp95fdNhRsU5mJh8/BfnrLRYnlt1gBfX5pEaGzZgKl+KiIiIdJUxhlmp3VvmqTOchwM4b0x8h/udmxHH8h3F/PgzVkOoveyV9QdZd6CcR6+d3KPn/cU7u3h5/UEiggMI9Deck376Gxx+foYfXj2Rq//4CQ++upW3txXy/+alMq+d4zISXeubZxdX9cukWIW2xCcKj9Sxen8ZV08ZdsKb65w01/JLBUfqmDw82lfhiYiIiIjbxeOHUni0jm2Hjvo6lAGtqq6RH/93By+tzaehydnp4/69Lp9/rcs/7T4bDlQwOt5BZGggl4wfesLQ5/ZMGh7FTbNSeGtLAQa48zRrEY+Kc+BnYG9xdafj7kvUUyy9akNeBW9tLqC0uh5r4eqpw054PsYRxLikSHYWHNV8YhEREZE+YEFmPH4Glu0sYpI+n3nNMytyqXQva5RXXkt6QninjnvyoxyanZYbZ6Z4fP5IbSM5pTV859JMvrYgHWs7v8zXdy4dyzvbCrlwXCLDTrNManCAP6mxDiXFIh2pqW/i3hc2cqjyGABTU6IZHX/qL/tZabHsLDjKpGS96YqIiIj4Wmx4MDNGDmH5jiLuu3iMr8MZkI4ca+SvH+eQEhNKfvkxcktrOpUUNzY7yS2todm65gqHe+gB3nTQtbTS1BTXKMyuDIGPcQTx3rfnExbUcfGs9IRwsvtpUqzh09Jrnli2h0OVx/j3l89i1fcu4B93zfG43w0zh3Px+ESmpGj4tIiIiEhfsHBiEjsKjnLH02vYVdi7w6ir6hr52ZKdlFTVd7xzP/XUJ/upqmvi5+65xLllNZ067kBZLU1Oi7Wwu53/l015lRjT/VVdYhxBnaoonZEYTm5pTZeGfvcVPZIUG2NijDEfG2MeOWl7lDFmsTFmlzFmrTFmQk9cT/qfjXkVPL1iP7fMGcGs1BiSokI93skCGJcUyV9vn9kvy7mLiIiIDES3nzWS7102lk35lVz/51UUHa3rtWu/va2QRR/lcNff13qtErcvVdY28PQn+7ls4lDOTo8jKjSQ/aWupPh372WTtbsYcK2t/a91+dQ3Hf8Z7Cs53jO7o6DK4/k35VeQHh9ORIh3C9hmJETQ5LQc6GRC35eccVJsjAkE3gb2eHi6AXjeWjsW+BHwyJleT/qfvLJavvTcOoZFh3L/wrG+DkdEREREuijQ3497zh/N6187m4YmJ48u2dlr1165t5TQQH+2HDrCff/a1KU5sf3Boo9yqGlo4n8ucg1NT41zkFtWw5FjjTyxfA/ff30bTc1Onlt5gO++vIV/rs5rPbZlDq8jyJ8dh0/tKbbWsim/kmkjvD8Cs2W4d38cQn3Gc4qttY3GmKuAy4HUk547Bixxf5sLnLiglQx45TUN3PHMGpqclr/fOZuoUC2xJCIiItJfpcY5uOf8NH7//l5unj2ideUQb7HWsmJfGRePTyQ1zsHv3svmYMUxUmLCvHrd3lJe08CzK3O5YlISmUMjABgVG8ba3ArW5ZZjLeSXH+PVjYd48qMcAP72cQ63zR1JUIAf+4qrSYoKYWRsGDsLTk2K88prqahtZGqK99Ow0fHhGAN/+XAfy3cWef16PalHCm1Za4s7MWH7BuBdT08YY+4G7gaIj48nKyurJ8ISH6tvtvxiTR0Hq5x8d1YI+dvXcfpi8QNfdXW12rcMSGrbMlCpbctA1t32PdHfEhti+N/Fa/jhvBD8vLh28aEqJyVV9cQ2l+KoKgfgP++tZFL8wKgXvLawidqGZqaGVRz/v6hu4HBlI4s/2IS/gbhQw4OvbKHJwpVpgbyVU8djL73HOcmBbNx3jJhAiGxuYsOhJt7/4IMT/j9WHm4CoKkom6ysHK+/ntmJ/uwrO8rhsv61fFevtCZjzDTgGsBjZSVr7SJgEUBmZqadP39+b4QlXmSt5e7n17P/aC1/vnUGCycO9XVIfUJWVhZq3zIQqW3LQKW2LQPZmbTvuthDfPPFTVQNGcNnpib3bGBtPLNiP7CDL15xNsEB/jy6ZjmRyenMn5fqtWv2pg1Ld+Nn9nLbFfNb6+kciT7Ef/ZuYn2pYdqIIdwwczj3v7KVs9Ji+f2X5rD3tx/zQaGT7918PsXvv8sNE1OYmBzF0gObGTFh1glVq19+YQOxjjJuvfIC/P28d/OiRWeb04mVqHzP69WnjTFxwLPAze7h1DIILN1RxLIdRTx0+TglxCIiIiIDzFWThzE+KZJfLt3t1WrDK/aWMjI2jOFDwogLDyI8OKC1CNVAsKuwilFxjhMKzKbGOgCoqG1k9qgYrpmWzOdmpvDwleMwxvC1BensK6nhyY/2UdPQzOh4B+OTIgFOGEJd19jM+7uKuXTi0F5JiPszr/QUG2MeB5YB7wMvAt+z1m73xrWk73E6LU8s20NanIMvDJC7eCIiIiJynJ+f4bsLM/nCM2u5/elPGZ8URWhQz/S3nZ0ex7zRcTQ1O/k0p5wrpwwDXOvrjopzkDPAkuJJySculZQa52j9evaoGIID/PnF9ZNbt10xKYknP9rHr5e66hyPTggnPSGcQH/Dp/vLuMr98/pwTwm1Dc1cpg6qDnlr+PRIIAbXPOKzgJ8ZY37mfm6+tbbSS9eVPmDJtgJ2FVbx25umEuCvpbBFREREBqLzx8Tz5fNH897OIhavyaOx+cx7jJut5dUNh1hx/wWszimnqr6J88fEtz4/Ks7BpvyBkUrU1DeRV17LDTOGn7A9KjSQGEcQlbUNzBh5aoEsPz/DAwvHcdtTnwKuqs9BAX58dloy//w0j8smJnF2ehxvby0gOiyQuV4uhjYQ9FhSbK19ts3XN7Z5anFPXUP6vman5TfLs8lICOfKycN8HY6IiIiIeIkxhgcuG8sDl/Xckpuvb3LNVV53oIL/bj2MI8if+ZnHk+LUOAdvbTlMfVMzwQH+pzlT37enyLWucEvV6bbSE8Kpb3K2u7bwORlxnDcmnh2HjxAfHgzAI1dPYGNeJd98cSP3LxzLezuLuWzSUALVSdWhgVG2TfqMNzYfYm9xNX+6dbrmLoiIiIhIl1w0LpGQQD9e23iQd7YVctH4xBPm26bFOXBayC+vJT3h1GSyP9lV6EqKx7nnA7f16xundHj8H26ZRll1Ay2rAIUFBfCnW6dzw5Or+M7LWwDUSdVJSoqlxzQ1O/nt8mzGJUWycILmLoiIiIhI1ziCA7hwXCIvrc3HaU9N6lrm2+4v7f9J8e7CKhxB/iRHh57y3PAhHa/DHBkSSORJPckZiRGs/t6FFB6po6ahqbUAl5ye+tKlRzidlmdX5pJbVst9F4/BT73EIiIiItINV08ZhtNCRHAA52bEnfDcqNiWpLjaF6GdkZ8t2clDr21t/X5nwVEyh0b0+OfmkEB/UuMcTBgW1dqLLKdBP0GGAAAQgklEQVSnnmI5I0eONfLcylxeWJNHwZE6ZqUO4aJxCb4OS0RERET6qfmZ8QwJC3QPpT5x3nBUWCCxjiD2l9a2biuvaSAsyP+UffuSZqdl8Zo8quqauHrKMGaPimF3URWXTUzydWiCkmI5A29tOcwDr2ylur6JczPiePDycVw8PlF3pERERESk24ID/HnrG+cSFeq5yFRqnIP9pdVY6xqp+OiSXdwxbyQPXTG+dZ+tB4/w+/ez+f0t0/pEQa4dh49SVdeEMfDTJTs5f0w8lbWNTBke1fHB4nVKiqVbFq/J48HXtjJ9xBB+9JkJTBimX2gRERER6Rme5tm2SItz8O/1B5n8yFKq6pvw9zNszj9ywj5LdxSydEcR2UXVTEz2/efUVTmlANy/cCw/f3sXWw4e4XMzU7j+pOWYxDeUFEuXrdpXxvde3cqCzHj+dOsMQoN8f/dNRERERAaHry1IZ1h0KOU1DUwYFsmm/EqW7ig6YZ/9pTWAa9mjPpEU7ysjLd7B3eemsbuwivSEcL46f7RGWPYRSoqly55YvofEyGD+fNuMPj13Q0REREQGntQ4B9+6eEzr99X1Tby4Np+y6npi3Wv25pa5kuLsYt8X5GpsdrJmfznXTEvGz8/wxOem+jokOYmqT0uXrNpXxpr95Xz5/NFKiEVERETE5zISXUsztSTA1lpy3YW4souqfBZXi62HjlDT0My80XEd7yw+oaRYPLLWsnJvKbc/vYavv7CBusZmmp2W3yzfQ3xEMDfPHuHrEEVEREREyEgIB44nxaXVDVTXN52wzZdW7SsDYG5ajI8jkfZo+LScwFrL8p3F/PGDvWzKryTWEURZTQNVdU04reXT/eX8+DMT1EssIiIiIn1CUlQIjiB/9rp7hVvmE08bEc2m/EqONTT7tAbO+gMVjI53tA7tlr5HPcVygt8sz+ZLz62jtLqen1wzkRUPXMDPr53Eh3tKWLO/nJ9fO4nb5o70dZgiIiIiIgAYY0hPjGBviatXONedFF8yfijWwr4S3/UWW2vZlF/JtBFDfBaDdEw9xdLqk+xSfvd+NtdOS+ax6ycT4O+6Z3LT7BGMiAkjITKY9IQIH0cpIiIiInKijIRwPtpTAsD+shoC/AwLxsbzi3d2kV3suwrU+eXHKK9pYGpKtE+uL52jpLgPOVrXyH82HqKx2fbaNUfHO5g9KoaP9pTw8H+2kR4fzk8+O7E1IW4xL12FAURERESkb8pICOfl9Qc5UttIbmkNI2LCGB0fTqC/YU+R73qKN+ZXAK6h3NJ3KSnuQ15ak89Pl+zs9esaA9bCiJgw/nTrdMKC1CxEREREpP/ISHQV29pbUsX+0hpS4xwE+vsxKs7h0wrUG/MqCQ30JzNRoy37MmU/fcja3HJGxITx5r3n9Mr1nE7LpoOVrN5XxtSUaC6ZMBR/Py0gLiIiIiL9S4Z7it9bWwo4UFbbuvxRRkIEy3YWceGvsno1nsjQQB6/fjKb8iuZlBx1yihM6VuUFPcR1lrWH6jg/Mx4okIDe+26CzITWJCZ0GvXExERERHpaSkxYXxuZgrPrMgFYFRcGAB3zEt1jYrs5XhW7i3l3sWb2FdczRfOTu3lq0tXKSnuI3LLaimraWDmSK1fJiIiIiLSVY9eOwlj4MW1+WS4hyvPHhXD7FG9//l6+Y4i7npuHQDTVGSrz1M/fh+xLrccgJmpKtcuIiIiItJVfn6Gn312Em9+/Rzm+CARbuui8YncPHsE/n6G6SP1+b6v65Gk2BgTY4z52BjziIfnvmiMyTbGbDPGzOiJ6w1E6w9UEBkSQHp8uK9DERERERHpl/z8DJOGR2GM7+vk/PgzE3j3f84lMTLE16FIB844KTbGBAJvA3s8PBcKPABMA24G/nim1xuo1h2oYMbIIfip0JWIiIiISL8X4O9HeoKqTvcHZzyn2FrbaIy5CrgcSD3p6TnAGmttNbDVGBNnjAmz1tZ25txPfbKf6rqmMw2xz2u2lr3F1Xx2WrKvQxERERERERlUeqTQlrW2uJ0hCglAaZvvS4BEYH/bnYwxdwN3A8THx5OVlQXAH7NqKa/r7VpxvhHgB+FVB8jKOujrUMSLqqurW9u3yECiti0Dldq2DGRq3yIu3q4+7SmjPSV7ttYuAhYBZGZm2vnz5wOw7rzBkRC30NDpgS8rK4uW9i0ykKhty0Clti0Dmdq3iIu3k+ICIK7N9/G4eos7RUmiiIiIiIiIeJNXlmQyxjxujLkEWANMM8aEG2OmACXW2ipvXFNERERERESkq7zVUzwSiLHWNhhjHgY2Ak7gJi9dT0RERERERKTLeiwpttY+2+brG9t8/Srwak9dR0RERERERKSneGX4tIiIiIiIiEh/YKztWxWejTFVwG5fxyHiJXGcuEyZyEChti0Dldq2DGRq3+IrI6218b4OooW3q093x25r7UxfByHiDcaYdWrfMhCpbctApbYtA5nat4iLhk+LiIiIiIjIoKWkWERERERERAatvpgUL/J1ACJepPYtA5XatgxUatsykKl9i9AHC22JiIiIiIiI9Ja+2FMsIiIiIiIi0iu6lBQbY4YbY5YYY3YYYz4yxgwzxqQZY9YbY/YaYx5qs+/33dvWGmNSjTGxxphNbR6H2u7f5rgrjDG73Y/L2myf6j5mfjuxeYzD/Vy8Maa0vWNFwOft+zpjzDpjzBZjzBQPx50ShzHmoZOuWeetn430b73Utv2MMb83xmSdtL1b793GmBhjzMfGmEd67AchA86ZtG33thnu77caY/7QzjVOed82xtxjjNnmPu41Y0zYScf4GWP+5I5rhzHmR22eU9uWTvFh+x5ijHnXGLPRGLPMGDPEw3FfMcbsdMf2jfbi9cbPRcQrrLWdfgDxwHnur+8FHgeeBq4F/IFPgfHASGCDe9tVwEsezvUyMNPD9u1AMpAE7MGVuI8D1gLvAPPbie2UONo89yzwYXvH6qGHtT5t3xOATUDMaWJrt327n58AvOnrn6EeffPRS237r8Bvgaw227r13g0Eur9+CnjE1z8/Pfru40zbNrCkzfEfALM9XMPT+3YmEOh+/u/ArR6Om+T+NxDY6z6H2rYenX74sH1/F/g/9/M/AL7r4bjLgVD3IxeI8hSvr3+GeujR2UeXeoqttSXW2o/c3+YCQ4DzgSXW2mbgLff3C4C33dveBs5qex5jTBww2lq77qTtqUCltfaQtbYAyMf1h2cPcClQeJrwPMWBMWah+7j9XXmtMvj4sH3fAvzBWlt+mvA8tu82vgg816UXLIOGt9u220PAEydt69Z7t7W2EdcHu487/SJlUOqBtl0FhBtj/AAHUNn2/O29b1trd1trG909xCOAXR5i2+r+chhQD5SpbUtX+Kp9txzn3i0KqPAQ2xJr7TFr7TGgDIhoJ16RfuFM5hTfALwLOKy1LcM2i4GhQAJQCmCtbQL8jTH+bY69DVjs4Zytx7U9n7W2uYOEAU9xGGMcwP3Aj9o/TMSjXmvfwEQg0xizwRjzjjEm2cOxnuIAwBgTCFwBvNG1lyiDlDfaNtbaYg/buvXe3d75RDrQnbb9XeCXwGrgeWvtnpPO2d77NsaY54EC4GNr7fqTgzHGBBljtuHqwfteS0xq29JNvdm+nwamuqfDJOEacemRMSYDCLDWHmwnXpF+oVtJsTHmclx3Rl8GTi5fbdrZ1tbtwD88nNpTKeyTj22Pp2v+BHjMWlvbyXOI+KJ9hwPHrLXTgVeBRzpxbNtrXgW8b62t93CcSCsvtu0z0dE1RTp0Bm37OlzTV54HbjbGRJy0X7ufS6y1nwcScd3U/PzJO1lrG6y1E3FNb/mJMWZ051+RyHE+aN+zcH02eRIYi2sqjKe4AnBNBfj2aeIV6Re6nBQbY9KBnwM3W2stUGWMCXE/nYDrLlMBEOfePwCw7iEdGGNmAsXW2sPu71uKBb3c9riTzucpjkvN8cIv0e3EcQ3wZ2NMLnA98KIx5oKuvmYZPHzUviuBN93bPgLGdLJ9t7gT15w2kXZ5uW13JY6utG2RDp1h2/5f4E5r7e+BLODzXflc4u6xexmY66Ftt+xTiGu49HQvvHwZ4HzUvu8DHrTWLsY14vLhdtr3E8BSa+3y08Qr0i90tfp0BK6hc3e45x4ALAOucA/TuApY7n4sdG+7nBPnzpzwAd5a+1Nr7VRr7fXuoRchxphkY0wSkIKrAMAprLXvuo+baq2t9BSHtXaUtTbVWpuK64/WTdba97vymmXw8GH7/i+umzYAc4EdnWnf7piTgFHW2tU9/xORgcLbbbsrsXS2bYt0Rg+07UYg1v31UKCqM+/bxpix7usb4BJgW9u2DTQaY4a793EAZ9PO5xmR9viqfQO1HJ+m1XLcCe/dxpi7gFhr7U86iFekXwjo4v5fB9KBZ1x/B6gFPoOrl+tx4Glr7S4AY8wzwG6gBtcvLe47W5dz0jCLk9wLvI+rgt7Xu3CX6RFPcYh0gU/at3te2l+MMVuAclyFt072iKc4cA1nfaGbr1cGj95o2931iKc4RDrpjNq2+/glxlWIaAvwoodreHrf/r4xZhqupGMV8LeTjgkBXnYnxE7gSWvtjp55yTKI+Kp9/xB41hjzAHAE12eNk/0RyDHGbHJ//2tcVaxPiNdaO6/7L1+k9xiNbBAREREREZHB6kyqT4uIiIiIiIj0a0qKRUREREREZNBSUiwiIiIiIiKDlpJiERERERERGbSUFIuIiIiIiMigpaRYREREREREBi0lxSIiIp1kjLmq4708HjfRGJPVwT5NxphNxpi9xphnjDERHex/qTEmqDvxiIiIyHFKikVERDrBGBMFPODFS1Raa6daa9OBPcBTHez/Q0BJsYiIyBlSUiwiItI5fwamuXtz9xljvmWM2WKMGW2M+YYxZq0xZqcx5osAxpgYY8wyY8wm4JstJzHGJBhj3naf58l2rvULYJYxJtb9+MAYs8EY84kxJsoY83VgOrDSGPPZTp5TREREPFBSLCIi0jkPAjustVOBfGCItXaytXYfsMhaOws4G7jfvf83gCz3/jltzvMD4DH39jhjzIUnX8ha68TVW5xhrS0DLrPWTgfWA1daa/8AHAbmWWtf68w5RURExLMAXwcgIiLST73R5usbjDH34brZPMS9bTrwE/fXy4BL3V+fDZxrjHEC4cDIds4fADiNMfHAX4wxmUAskO1h386eU0RERE6ipFhERKR76gCMMWHAr4BpQDFQ4GFfe9L3l1prPe2H+5yBQAau3uL/BfZZa68zxvz0NPGc9pwiIiLimYZPi4iIdE4Nrl7YkwUD1biGM1/QZvvGNt+f12b7CuAaAGNMsDHG0fZkxhg/4GfAG9baSiAC2G6M8T/pPG3jOe05RUREpH1KikVERDrBWlsCZLsLZ41us70CeA/YB1yNq3cX4LfAJcaYXcBkjvcW/wBY6D7Pp0Cie3u0MWaz+zwRwHfd25/FVWl6FbCmTUjPAZ8YY64/zTlFRESkA8bak0d0iYiIiIiIiAwO6ikWERERERGRQUtJsYiIiIiIiAxaSopFRERERERk0FJSLCIiIiIiIoOWkmIREREREREZtJQUi4iIiIiIyKClpFhEREREREQGLSXFIiIiIiIiMmgpKRYREREREZFB6/8DI6IVEq0xhNYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(3,1)\n",
    "MACD_ret_df.loc[:'2009',['MACD','MACD_signal']].plot(ax=axes[0], grid=True)\n",
    "MACD_ret_df.loc[:'2009',['openIndex']].plot(secondary_y=True,ax=axes[0],grid=True)\n",
    "MACD_ret_df.loc[:'2009',['position_open']].plot(ax=axes[1], grid=True)\n",
    "MACD_ret_df.loc[:'2009',['MACD_open_cumret']].plot(ax=axes[2], grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "## Cross-sectional test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>preClosePrice</th>\n",
       "      <th>closePrice</th>\n",
       "      <th>openPrice</th>\n",
       "      <th>highestPrice</th>\n",
       "      <th>lowestPrice</th>\n",
       "      <th>negMarketValue</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>turnoverRate</th>\n",
       "      <th>EMA</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-20</td>\n",
       "      <td>824.193</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1044.285</td>\n",
       "      <td>1053.778</td>\n",
       "      <td>970.235</td>\n",
       "      <td>4.835036e+10</td>\n",
       "      <td>4.182345e+09</td>\n",
       "      <td>0.0840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.197544</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-21</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1026.564</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>988.906</td>\n",
       "      <td>5.318694e+10</td>\n",
       "      <td>2.285485e+09</td>\n",
       "      <td>0.0440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.016970</td>\n",
       "      <td>0.100033</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-22</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1126.562</td>\n",
       "      <td>1132.891</td>\n",
       "      <td>1069.601</td>\n",
       "      <td>5.487665e+10</td>\n",
       "      <td>2.761567e+09</td>\n",
       "      <td>0.0510</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.097410</td>\n",
       "      <td>0.031769</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-25</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1139.536</td>\n",
       "      <td>1157.574</td>\n",
       "      <td>1087.005</td>\n",
       "      <td>5.456661e+10</td>\n",
       "      <td>2.324186e+09</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011516</td>\n",
       "      <td>-0.005650</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-27</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>1069.284</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>4.994705e+10</td>\n",
       "      <td>2.446556e+09</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.120245</td>\n",
       "      <td>-0.084659</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-28</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>953.780</td>\n",
       "      <td>996.817</td>\n",
       "      <td>1024.348</td>\n",
       "      <td>950.299</td>\n",
       "      <td>4.672266e+10</td>\n",
       "      <td>1.617434e+09</td>\n",
       "      <td>0.0336</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.005682</td>\n",
       "      <td>-0.064557</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-29</td>\n",
       "      <td>953.780</td>\n",
       "      <td>870.870</td>\n",
       "      <td>943.021</td>\n",
       "      <td>948.717</td>\n",
       "      <td>861.377</td>\n",
       "      <td>4.266117e+10</td>\n",
       "      <td>1.410758e+09</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.053968</td>\n",
       "      <td>-0.086928</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-07-02</td>\n",
       "      <td>870.870</td>\n",
       "      <td>867.073</td>\n",
       "      <td>848.402</td>\n",
       "      <td>881.629</td>\n",
       "      <td>840.807</td>\n",
       "      <td>4.247515e+10</td>\n",
       "      <td>8.756147e+08</td>\n",
       "      <td>0.0209</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.100336</td>\n",
       "      <td>-0.004360</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578732</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>28.070</td>\n",
       "      <td>27.570</td>\n",
       "      <td>28.180</td>\n",
       "      <td>28.180</td>\n",
       "      <td>27.150</td>\n",
       "      <td>1.421167e+10</td>\n",
       "      <td>1.128337e+08</td>\n",
       "      <td>0.0080</td>\n",
       "      <td>29.920663</td>\n",
       "      <td>0.026594</td>\n",
       "      <td>-0.017813</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578733</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>27.570</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.400</td>\n",
       "      <td>27.940</td>\n",
       "      <td>27.310</td>\n",
       "      <td>1.408796e+10</td>\n",
       "      <td>1.264233e+08</td>\n",
       "      <td>0.0089</td>\n",
       "      <td>29.673933</td>\n",
       "      <td>-0.027679</td>\n",
       "      <td>-0.008705</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578734</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.800</td>\n",
       "      <td>27.600</td>\n",
       "      <td>28.580</td>\n",
       "      <td>27.600</td>\n",
       "      <td>1.433023e+10</td>\n",
       "      <td>1.743296e+08</td>\n",
       "      <td>0.0121</td>\n",
       "      <td>29.495464</td>\n",
       "      <td>0.007299</td>\n",
       "      <td>0.017197</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578735</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>27.800</td>\n",
       "      <td>29.400</td>\n",
       "      <td>27.710</td>\n",
       "      <td>29.650</td>\n",
       "      <td>27.710</td>\n",
       "      <td>1.515499e+10</td>\n",
       "      <td>2.526946e+08</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>29.486372</td>\n",
       "      <td>0.003986</td>\n",
       "      <td>0.057554</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578736</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>29.400</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.400</td>\n",
       "      <td>29.880</td>\n",
       "      <td>28.660</td>\n",
       "      <td>1.487664e+10</td>\n",
       "      <td>2.443983e+08</td>\n",
       "      <td>0.0163</td>\n",
       "      <td>29.426717</td>\n",
       "      <td>0.060989</td>\n",
       "      <td>-0.018367</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578737</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.800</td>\n",
       "      <td>28.730</td>\n",
       "      <td>29.990</td>\n",
       "      <td>28.610</td>\n",
       "      <td>1.536118e+10</td>\n",
       "      <td>1.925252e+08</td>\n",
       "      <td>0.0127</td>\n",
       "      <td>29.462268</td>\n",
       "      <td>-0.022789</td>\n",
       "      <td>0.032571</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578738</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>29.800</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.550</td>\n",
       "      <td>30.880</td>\n",
       "      <td>29.550</td>\n",
       "      <td>1.560861e+10</td>\n",
       "      <td>1.963816e+08</td>\n",
       "      <td>0.0125</td>\n",
       "      <td>29.540147</td>\n",
       "      <td>0.028542</td>\n",
       "      <td>0.016107</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578739</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.610</td>\n",
       "      <td>30.160</td>\n",
       "      <td>30.490</td>\n",
       "      <td>29.490</td>\n",
       "      <td>1.526324e+10</td>\n",
       "      <td>1.148845e+08</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>29.546800</td>\n",
       "      <td>0.020643</td>\n",
       "      <td>-0.022127</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11647115 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "109       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "110       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "111       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "112       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "114       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "115       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "116       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "117       000001.XSHE 2007-07-02        870.870     867.073    848.402   \n",
       "...               ...        ...            ...         ...        ...   \n",
       "12578732  689009.XSHG 2024-04-10         28.070      27.570     28.180   \n",
       "12578733  689009.XSHG 2024-04-11         27.570      27.330     27.400   \n",
       "12578734  689009.XSHG 2024-04-12         27.330      27.800     27.600   \n",
       "12578735  689009.XSHG 2024-04-15         27.800      29.400     27.710   \n",
       "12578736  689009.XSHG 2024-04-16         29.400      28.860     29.400   \n",
       "12578737  689009.XSHG 2024-04-17         28.860      29.800     28.730   \n",
       "12578738  689009.XSHG 2024-04-18         29.800      30.280     29.550   \n",
       "12578739  689009.XSHG 2024-04-19         30.280      29.610     30.160   \n",
       "\n",
       "          highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "109           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "110           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "111           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "112           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "114           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "115           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "116            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "117            881.629      840.807    4.247515e+10   8.756147e+08   \n",
       "...                ...          ...             ...            ...   \n",
       "12578732        28.180       27.150    1.421167e+10   1.128337e+08   \n",
       "12578733        27.940       27.310    1.408796e+10   1.264233e+08   \n",
       "12578734        28.580       27.600    1.433023e+10   1.743296e+08   \n",
       "12578735        29.650       27.710    1.515499e+10   2.526946e+08   \n",
       "12578736        29.880       28.660    1.487664e+10   2.443983e+08   \n",
       "12578737        29.990       28.610    1.536118e+10   1.925252e+08   \n",
       "12578738        30.880       29.550    1.560861e+10   1.963816e+08   \n",
       "12578739        30.490       29.490    1.526324e+10   1.148845e+08   \n",
       "\n",
       "          turnoverRate        EMA  open_ret  close_ret  signal  \n",
       "109             0.0840        NaN       NaN   0.197544       0  \n",
       "110             0.0440        NaN -0.016970   0.100033       0  \n",
       "111             0.0510        NaN  0.097410   0.031769       0  \n",
       "112             0.0426        NaN  0.011516  -0.005650       0  \n",
       "114             0.0489        NaN -0.120245  -0.084659       0  \n",
       "115             0.0336        NaN -0.005682  -0.064557       0  \n",
       "116             0.0316        NaN -0.053968  -0.086928       0  \n",
       "117             0.0209        NaN -0.100336  -0.004360       0  \n",
       "...                ...        ...       ...        ...     ...  \n",
       "12578732        0.0080  29.920663  0.026594  -0.017813       0  \n",
       "12578733        0.0089  29.673933 -0.027679  -0.008705       0  \n",
       "12578734        0.0121  29.495464  0.007299   0.017197       0  \n",
       "12578735        0.0170  29.486372  0.003986   0.057554       0  \n",
       "12578736        0.0163  29.426717  0.060989  -0.018367       0  \n",
       "12578737        0.0127  29.462268 -0.022789   0.032571       1  \n",
       "12578738        0.0125  29.540147  0.028542   0.016107       1  \n",
       "12578739        0.0075  29.546800  0.020643  -0.022127       1  \n",
       "\n",
       "[11647115 rows x 14 columns]"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df.drop('EMA',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['MACD'] = stk_df.groupby('secID')['closePrice'].apply(lambda x: ta.MACD(x)[0])\n",
    "stk_df['MACD_signal'] = stk_df.groupby('secID')['closePrice'].apply(lambda x: ta.MACD(x)[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0965e7250>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stk_df.loc[stk_df['secID']=='000001.XSHE',['tradeDate','MACD','MACD_signal']].set_index('tradeDate').loc['2020':].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['signal'] = 0\n",
    "stk_df.loc[stk_df['MACD'] > stk_df['MACD_signal'], 'signal'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>preClosePrice</th>\n",
       "      <th>closePrice</th>\n",
       "      <th>openPrice</th>\n",
       "      <th>highestPrice</th>\n",
       "      <th>lowestPrice</th>\n",
       "      <th>negMarketValue</th>\n",
       "      <th>turnoverValue</th>\n",
       "      <th>turnoverRate</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>signal</th>\n",
       "      <th>MACD</th>\n",
       "      <th>MACD_signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-20</td>\n",
       "      <td>824.193</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1044.285</td>\n",
       "      <td>1053.778</td>\n",
       "      <td>970.235</td>\n",
       "      <td>4.835036e+10</td>\n",
       "      <td>4.182345e+09</td>\n",
       "      <td>0.0840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.197544</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-21</td>\n",
       "      <td>987.007</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1026.564</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>988.906</td>\n",
       "      <td>5.318694e+10</td>\n",
       "      <td>2.285485e+09</td>\n",
       "      <td>0.0440</td>\n",
       "      <td>-0.016970</td>\n",
       "      <td>0.100033</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-22</td>\n",
       "      <td>1085.740</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1126.562</td>\n",
       "      <td>1132.891</td>\n",
       "      <td>1069.601</td>\n",
       "      <td>5.487665e+10</td>\n",
       "      <td>2.761567e+09</td>\n",
       "      <td>0.0510</td>\n",
       "      <td>0.097410</td>\n",
       "      <td>0.031769</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-25</td>\n",
       "      <td>1120.233</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1139.536</td>\n",
       "      <td>1157.574</td>\n",
       "      <td>1087.005</td>\n",
       "      <td>5.456661e+10</td>\n",
       "      <td>2.324186e+09</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>0.011516</td>\n",
       "      <td>-0.005650</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-27</td>\n",
       "      <td>1113.904</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>1069.284</td>\n",
       "      <td>1002.513</td>\n",
       "      <td>4.994705e+10</td>\n",
       "      <td>2.446556e+09</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>-0.120245</td>\n",
       "      <td>-0.084659</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-28</td>\n",
       "      <td>1019.602</td>\n",
       "      <td>953.780</td>\n",
       "      <td>996.817</td>\n",
       "      <td>1024.348</td>\n",
       "      <td>950.299</td>\n",
       "      <td>4.672266e+10</td>\n",
       "      <td>1.617434e+09</td>\n",
       "      <td>0.0336</td>\n",
       "      <td>-0.005682</td>\n",
       "      <td>-0.064557</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-29</td>\n",
       "      <td>953.780</td>\n",
       "      <td>870.870</td>\n",
       "      <td>943.021</td>\n",
       "      <td>948.717</td>\n",
       "      <td>861.377</td>\n",
       "      <td>4.266117e+10</td>\n",
       "      <td>1.410758e+09</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>-0.053968</td>\n",
       "      <td>-0.086928</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-07-02</td>\n",
       "      <td>870.870</td>\n",
       "      <td>867.073</td>\n",
       "      <td>848.402</td>\n",
       "      <td>881.629</td>\n",
       "      <td>840.807</td>\n",
       "      <td>4.247515e+10</td>\n",
       "      <td>8.756147e+08</td>\n",
       "      <td>0.0209</td>\n",
       "      <td>-0.100336</td>\n",
       "      <td>-0.004360</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578732</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>28.070</td>\n",
       "      <td>27.570</td>\n",
       "      <td>28.180</td>\n",
       "      <td>28.180</td>\n",
       "      <td>27.150</td>\n",
       "      <td>1.421167e+10</td>\n",
       "      <td>1.128337e+08</td>\n",
       "      <td>0.0080</td>\n",
       "      <td>0.026594</td>\n",
       "      <td>-0.017813</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.495800</td>\n",
       "      <td>0.067497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578733</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>27.570</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.400</td>\n",
       "      <td>27.940</td>\n",
       "      <td>27.310</td>\n",
       "      <td>1.408796e+10</td>\n",
       "      <td>1.264233e+08</td>\n",
       "      <td>0.0089</td>\n",
       "      <td>-0.027679</td>\n",
       "      <td>-0.008705</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.630392</td>\n",
       "      <td>-0.072081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578734</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>27.330</td>\n",
       "      <td>27.800</td>\n",
       "      <td>27.600</td>\n",
       "      <td>28.580</td>\n",
       "      <td>27.600</td>\n",
       "      <td>1.433023e+10</td>\n",
       "      <td>1.743296e+08</td>\n",
       "      <td>0.0121</td>\n",
       "      <td>0.007299</td>\n",
       "      <td>0.017197</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.691164</td>\n",
       "      <td>-0.195897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578735</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>27.800</td>\n",
       "      <td>29.400</td>\n",
       "      <td>27.710</td>\n",
       "      <td>29.650</td>\n",
       "      <td>27.710</td>\n",
       "      <td>1.515499e+10</td>\n",
       "      <td>2.526946e+08</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>0.003986</td>\n",
       "      <td>0.057554</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.603266</td>\n",
       "      <td>-0.277371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578736</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>29.400</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.400</td>\n",
       "      <td>29.880</td>\n",
       "      <td>28.660</td>\n",
       "      <td>1.487664e+10</td>\n",
       "      <td>2.443983e+08</td>\n",
       "      <td>0.0163</td>\n",
       "      <td>0.060989</td>\n",
       "      <td>-0.018367</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.570602</td>\n",
       "      <td>-0.336017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578737</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>28.860</td>\n",
       "      <td>29.800</td>\n",
       "      <td>28.730</td>\n",
       "      <td>29.990</td>\n",
       "      <td>28.610</td>\n",
       "      <td>1.536118e+10</td>\n",
       "      <td>1.925252e+08</td>\n",
       "      <td>0.0127</td>\n",
       "      <td>-0.022789</td>\n",
       "      <td>0.032571</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.463522</td>\n",
       "      <td>-0.361518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578738</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>29.800</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.550</td>\n",
       "      <td>30.880</td>\n",
       "      <td>29.550</td>\n",
       "      <td>1.560861e+10</td>\n",
       "      <td>1.963816e+08</td>\n",
       "      <td>0.0125</td>\n",
       "      <td>0.028542</td>\n",
       "      <td>0.016107</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.336055</td>\n",
       "      <td>-0.356426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12578739</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>30.280</td>\n",
       "      <td>29.610</td>\n",
       "      <td>30.160</td>\n",
       "      <td>30.490</td>\n",
       "      <td>29.490</td>\n",
       "      <td>1.526324e+10</td>\n",
       "      <td>1.148845e+08</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>0.020643</td>\n",
       "      <td>-0.022127</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.285805</td>\n",
       "      <td>-0.342301</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11647115 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "109       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "110       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "111       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "112       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "114       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "115       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "116       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "117       000001.XSHE 2007-07-02        870.870     867.073    848.402   \n",
       "...               ...        ...            ...         ...        ...   \n",
       "12578732  689009.XSHG 2024-04-10         28.070      27.570     28.180   \n",
       "12578733  689009.XSHG 2024-04-11         27.570      27.330     27.400   \n",
       "12578734  689009.XSHG 2024-04-12         27.330      27.800     27.600   \n",
       "12578735  689009.XSHG 2024-04-15         27.800      29.400     27.710   \n",
       "12578736  689009.XSHG 2024-04-16         29.400      28.860     29.400   \n",
       "12578737  689009.XSHG 2024-04-17         28.860      29.800     28.730   \n",
       "12578738  689009.XSHG 2024-04-18         29.800      30.280     29.550   \n",
       "12578739  689009.XSHG 2024-04-19         30.280      29.610     30.160   \n",
       "\n",
       "          highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "109           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "110           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "111           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "112           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "114           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "115           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "116            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "117            881.629      840.807    4.247515e+10   8.756147e+08   \n",
       "...                ...          ...             ...            ...   \n",
       "12578732        28.180       27.150    1.421167e+10   1.128337e+08   \n",
       "12578733        27.940       27.310    1.408796e+10   1.264233e+08   \n",
       "12578734        28.580       27.600    1.433023e+10   1.743296e+08   \n",
       "12578735        29.650       27.710    1.515499e+10   2.526946e+08   \n",
       "12578736        29.880       28.660    1.487664e+10   2.443983e+08   \n",
       "12578737        29.990       28.610    1.536118e+10   1.925252e+08   \n",
       "12578738        30.880       29.550    1.560861e+10   1.963816e+08   \n",
       "12578739        30.490       29.490    1.526324e+10   1.148845e+08   \n",
       "\n",
       "          turnoverRate  open_ret  close_ret  signal      MACD  MACD_signal  \n",
       "109             0.0840       NaN   0.197544       0       NaN          NaN  \n",
       "110             0.0440 -0.016970   0.100033       0       NaN          NaN  \n",
       "111             0.0510  0.097410   0.031769       0       NaN          NaN  \n",
       "112             0.0426  0.011516  -0.005650       0       NaN          NaN  \n",
       "114             0.0489 -0.120245  -0.084659       0       NaN          NaN  \n",
       "115             0.0336 -0.005682  -0.064557       0       NaN          NaN  \n",
       "116             0.0316 -0.053968  -0.086928       0       NaN          NaN  \n",
       "117             0.0209 -0.100336  -0.004360       0       NaN          NaN  \n",
       "...                ...       ...        ...     ...       ...          ...  \n",
       "12578732        0.0080  0.026594  -0.017813       0 -0.495800     0.067497  \n",
       "12578733        0.0089 -0.027679  -0.008705       0 -0.630392    -0.072081  \n",
       "12578734        0.0121  0.007299   0.017197       0 -0.691164    -0.195897  \n",
       "12578735        0.0170  0.003986   0.057554       0 -0.603266    -0.277371  \n",
       "12578736        0.0163  0.060989  -0.018367       0 -0.570602    -0.336017  \n",
       "12578737        0.0127 -0.022789   0.032571       0 -0.463522    -0.361518  \n",
       "12578738        0.0125  0.028542   0.016107       1 -0.336055    -0.356426  \n",
       "12578739        0.0075  0.020643  -0.022127       1 -0.285805    -0.342301  \n",
       "\n",
       "[11647115 rows x 15 columns]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 45.9 s, sys: 1.17 s, total: 47 s\n",
      "Wall time: 47 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "rule_ret_df = stk_df.groupby('secID').apply(rule_return)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.drop('level_1',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>position_open_ret_demean</th>\n",
       "      <th>open_cumret</th>\n",
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       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-22</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-27</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-28</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-06-29</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000001.XSHE</td>\n",
       "      <td>2007-07-02</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647107</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647108</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647109</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647110</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647111</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647112</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647113</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647114</th>\n",
       "      <td>689009.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.773591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11647115 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  position_open_ret_demean  open_cumret\n",
       "0         000001.XSHE 2007-06-20                       NaN          NaN\n",
       "1         000001.XSHE 2007-06-21                       NaN          NaN\n",
       "2         000001.XSHE 2007-06-22                       0.0     1.000000\n",
       "3         000001.XSHE 2007-06-25                       0.0     1.000000\n",
       "4         000001.XSHE 2007-06-27                      -0.0     1.000000\n",
       "5         000001.XSHE 2007-06-28                      -0.0     1.000000\n",
       "6         000001.XSHE 2007-06-29                      -0.0     1.000000\n",
       "7         000001.XSHE 2007-07-02                      -0.0     1.000000\n",
       "...               ...        ...                       ...          ...\n",
       "11647107  689009.XSHG 2024-04-10                       0.0     0.773591\n",
       "11647108  689009.XSHG 2024-04-11                      -0.0     0.773591\n",
       "11647109  689009.XSHG 2024-04-12                       0.0     0.773591\n",
       "11647110  689009.XSHG 2024-04-15                       0.0     0.773591\n",
       "11647111  689009.XSHG 2024-04-16                       0.0     0.773591\n",
       "11647112  689009.XSHG 2024-04-17                      -0.0     0.773591\n",
       "11647113  689009.XSHG 2024-04-18                       0.0     0.773591\n",
       "11647114  689009.XSHG 2024-04-19                       0.0     0.773591\n",
       "\n",
       "[11647115 rows x 4 columns]"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### Cross-sectional test of cumulative return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_cumret_by_crs = rule_ret_df.groupby('secID')['open_cumret'].last()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000001.XSHE     1.114993\n",
       "000002.XSHE     2.294606\n",
       "000004.XSHE     5.451040\n",
       "000005.XSHE     2.925598\n",
       "000006.XSHE     7.514906\n",
       "000007.XSHE     2.538491\n",
       "000008.XSHE     2.829294\n",
       "000009.XSHE    17.588384\n",
       "                 ...    \n",
       "688789.XSHG     0.893267\n",
       "688793.XSHG     0.463594\n",
       "688798.XSHG     0.486045\n",
       "688799.XSHG     0.820711\n",
       "688800.XSHG     0.377908\n",
       "688819.XSHG     0.725053\n",
       "688981.XSHG     0.708889\n",
       "689009.XSHG     0.773591\n",
       "Name: open_cumret, Length: 5299, dtype: float64"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    5299.000000\n",
       "mean        1.927220\n",
       "std         2.675874\n",
       "min         0.010465\n",
       "25%         0.707447\n",
       "50%         1.083236\n",
       "75%         2.025365\n",
       "max        49.514932\n",
       "Name: open_cumret, dtype: float64"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a759c650>"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rule_cumret_by_crs.hist(bins=75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rule_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ret_mean</th>\n",
       "      <td>0.927220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>25.226376</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_cumret\n",
       "ret_mean     0.927220\n",
       "t_values    25.226376"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs.dropna(inplace=True)\n",
    "y = rule_cumret_by_crs.values\n",
    "const = np.full(shape=len(y),fill_value=1)\n",
    "reg = sm.OLS(y-const, const).fit().get_robustcov_results(cov_type='HC0')\n",
    "mean_values = reg.params[0]\n",
    "t_values = reg.tvalues[0]\n",
    "pd.DataFrame([mean_values,t_values],index=['ret_mean','t_values'],columns=['rule_cumret'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             Test for Constraints                             \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "c0             1.9272      0.037     25.224      0.000       1.855       1.999\n",
      "==============================================================================\n"
     ]
    }
   ],
   "source": [
    "rule_cumret_by_crs.dropna(inplace=True)\n",
    "y = rule_cumret_by_crs.values\n",
    "const = np.full(shape=len(y),fill_value=1)\n",
    "reg = sm.OLS(y, const).fit()\n",
    "print(reg.t_test('const = 1'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "平均年化收益："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.04837052777619055"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2.1293**(1/(2022-2007+1))-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.03934659891056258"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1.9272**(1/(2023-2007+1)) - 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### Cross-sectional test of mean daily return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000001.XSHE   -0.000027\n",
       "000002.XSHE    0.000145\n",
       "000004.XSHE    0.000692\n",
       "000005.XSHE    0.000507\n",
       "000006.XSHE    0.000414\n",
       "000007.XSHE    0.000229\n",
       "000008.XSHE    0.000188\n",
       "000009.XSHE    0.000643\n",
       "                 ...   \n",
       "688789.XSHG   -0.000248\n",
       "688793.XSHG   -0.000248\n",
       "688798.XSHG   -0.000283\n",
       "688799.XSHG   -0.000184\n",
       "688800.XSHG   -0.001112\n",
       "688819.XSHG    0.000153\n",
       "688981.XSHG    0.000045\n",
       "689009.XSHG   -0.000296\n",
       "Name: position_open_ret_demean, Length: 5299, dtype: float64"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# time-series mean of daily return\n",
    "rule_tsmean_ret_by_crs = rule_ret_df.groupby('secID')['position_open_ret_demean'].mean()\n",
    "rule_tsmean_ret_by_crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_tsmean_ret_by_crs.dropna(inplace=True)\n",
    "y = rule_tsmean_ret_by_crs.values\n",
    "const = np.full(shape=len(y),fill_value=1)\n",
    "reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HC0')\n",
    "mean_values = reg.params[0]\n",
    "t_values = reg.tvalues[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rule_daily_ret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ret_mean</th>\n",
       "      <td>0.000041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>5.323517</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_daily_ret\n",
       "ret_mean        0.000041\n",
       "t_values        5.323517"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame([mean_values,t_values],index=['ret_mean','t_values'],columns=['rule_daily_ret'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "## Time series test. Bootstrapping: White's Reality Check"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "- 原始index return去掉均值的目的：过滤掉牛市或者熊市时，随机策略的正或负的收益的偏误\n",
    "- position return 去掉均值的目的：bootstrap 的原假设是：策略期望收益是0。以此生成抽样分布。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series = MACD_ret_df['position_open_ret_demean'].dropna() # position_open_ret_demean: (raw return demeaned)*position\n",
    "rule_ret_series_for_bootstrap = rule_ret_series - rule_ret_series.mean() # demean here: H0: the average of the rule's return is zero\n",
    "n_sample = rule_ret_series.shape[0]\n",
    "n_boostrap = 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4202"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00010860179949022546"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_mean_distr = []\n",
    "for i in range(n_boostrap):\n",
    "    rule_ret_mean_distr.append(np.random.choice(rule_ret_series_for_bootstrap, n_sample).mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a7633650>"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rule_ret_mean_distr = pd.Series(rule_ret_mean_distr)\n",
    "rule_ret_mean_distr.hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.259"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(rule_ret_mean_distr > rule_ret_series.mean()).sum() / n_boostrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00010860179949022546"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(rule_ret_series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "def white_reality_test(rule_ret, n_boostrap=1000):\n",
    "    n_sample = len(rule_ret)\n",
    "    if n_sample < 100:\n",
    "        return None\n",
    "    else:\n",
    "        mean_rule_ret = np.mean(rule_ret)\n",
    "        rule_ret_for_bootstrap = rule_ret - mean_rule_ret\n",
    "        rule_ret_mean_distr = []\n",
    "        for i in range(n_boostrap):\n",
    "            rule_ret_mean_distr.append(np.random.choice(rule_ret_for_bootstrap, n_sample).mean())\n",
    "        rule_ret_mean_distr = pd.Series(rule_ret_mean_distr)\n",
    "        pvalue = (rule_ret_mean_distr > mean_rule_ret).sum() / n_boostrap\n",
    "        return pvalue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.258"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The p value of the rule's return series\n",
    "white_reality_test(rule_ret_series)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "#### Test another stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "one_stk_id = np.random.choice(rule_ret_df['secID'].unique(),1)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series = rule_ret_df.loc[rule_ret_df['secID'] == one_stk_id,'position_open_ret_demean']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.182"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "white_reality_test(rule_ret_series)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "#### Test 300 stocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_id_300 = np.random.choice(rule_ret_df['secID'].unique(),300,replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp = rule_ret_df.loc[rule_ret_df['secID'].isin(stk_id_300)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>secID</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>position_open_ret_demean</th>\n",
       "      <th>open_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25651</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-22</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25652</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-23</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25653</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25654</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25655</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-28</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25656</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-29</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25657</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-30</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25658</th>\n",
       "      <td>000010.XSHE</td>\n",
       "      <td>2013-10-31</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643897</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>0.009726</td>\n",
       "      <td>0.849062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643898</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>-0.033469</td>\n",
       "      <td>0.820711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643899</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.820711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643900</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.820711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643901</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.820711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643902</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.820711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643903</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.820711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11643904</th>\n",
       "      <td>688799.XSHG</td>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.820711</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>653120 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                secID  tradeDate  position_open_ret_demean  open_cumret\n",
       "25651     000010.XSHE 2013-10-22                  0.000000     1.000000\n",
       "25652     000010.XSHE 2013-10-23                  0.000000     1.000000\n",
       "25653     000010.XSHE 2013-10-24                 -0.000000     1.000000\n",
       "25654     000010.XSHE 2013-10-25                  0.000000     1.000000\n",
       "25655     000010.XSHE 2013-10-28                 -0.000000     1.000000\n",
       "25656     000010.XSHE 2013-10-29                 -0.000000     1.000000\n",
       "25657     000010.XSHE 2013-10-30                 -0.000000     1.000000\n",
       "25658     000010.XSHE 2013-10-31                  0.000000     1.000000\n",
       "...               ...        ...                       ...          ...\n",
       "11643897  688799.XSHG 2024-04-10                  0.009726     0.849062\n",
       "11643898  688799.XSHG 2024-04-11                 -0.033469     0.820711\n",
       "11643899  688799.XSHG 2024-04-12                 -0.000000     0.820711\n",
       "11643900  688799.XSHG 2024-04-15                  0.000000     0.820711\n",
       "11643901  688799.XSHG 2024-04-16                  0.000000     0.820711\n",
       "11643902  688799.XSHG 2024-04-17                 -0.000000     0.820711\n",
       "11643903  688799.XSHG 2024-04-18                  0.000000     0.820711\n",
       "11643904  688799.XSHG 2024-04-19                 -0.000000     0.820711\n",
       "\n",
       "[653120 rows x 4 columns]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 36.4 s, sys: 16 ms, total: 36.4 s\n",
      "Wall time: 36.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "stk_white_p = temp.groupby('secID')['position_open_ret_demean'].apply(white_reality_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000010.XSHE    0.459\n",
       "000034.XSHE    0.625\n",
       "000042.XSHE    0.378\n",
       "000066.XSHE    0.062\n",
       "000525.XSHE    0.638\n",
       "000528.XSHE    0.233\n",
       "000537.XSHE    0.140\n",
       "000548.XSHE    0.315\n",
       "               ...  \n",
       "688623.XSHG    0.527\n",
       "688630.XSHG    0.450\n",
       "688638.XSHG    0.196\n",
       "688668.XSHG    0.387\n",
       "688700.XSHG    0.524\n",
       "688776.XSHG    0.659\n",
       "688777.XSHG    0.557\n",
       "688799.XSHG    0.614\n",
       "Name: position_open_ret_demean, Length: 300, dtype: float64"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    297.000000\n",
       "mean       0.490135\n",
       "std        0.242505\n",
       "min        0.044000\n",
       "25%        0.289000\n",
       "50%        0.480000\n",
       "75%        0.684000\n",
       "max        0.988000\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a75b8790>"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stk_white_p.hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000066.XSHE    0.062\n",
       "000566.XSHE    0.088\n",
       "000670.XSHE    0.093\n",
       "002232.XSHE    0.094\n",
       "002499.XSHE    0.046\n",
       "002610.XSHE    0.083\n",
       "300312.XSHE    0.070\n",
       "600701.XSHG    0.081\n",
       "601222.XSHG    0.044\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.loc[stk_white_p < 0.10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "good_MACD_stks = stk_white_p.loc[stk_white_p < 0.10].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6637805         NaN\n",
       "6637806         NaN\n",
       "6637807    1.000000\n",
       "6637808    1.000000\n",
       "6637809    1.000000\n",
       "6637810    1.000000\n",
       "6637811    1.000000\n",
       "6637812    1.000000\n",
       "             ...   \n",
       "6638190    0.845012\n",
       "6638191    0.813486\n",
       "6638192    0.813486\n",
       "6638193    0.780111\n",
       "6638194    0.780111\n",
       "6638195    0.780111\n",
       "6638196    0.780111\n",
       "6638197    0.780111\n",
       "Name: open_cumret, Length: 393, dtype: float64"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_df.loc[rule_ret_df['secID']=='301296.XSHE','open_cumret']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.loc[rule_ret_df['secID'].isin(good_MACD_stks[0:5])].set_index('tradeDate',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp2 = rule_ret_df.loc[rule_ret_df['secID'].isin(good_MACD_stks)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a772f050>"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp2.pivot(index='tradeDate',columns='secID',values='open_cumret').plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "# White's Reality Check for multiple strategies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "def rule_return_open(df, demean=True):\n",
    "    \"\"\"\n",
    "    df should contain these columns:\n",
    "        signal: the signal generated by the rule\n",
    "        close_ret: return calculated by close price\n",
    "        open_ret: return calculated by open price\n",
    "    close_ret_demean is demeaned return of close_ret, i.e. close_ret - close_ret.mean.\n",
    "    open_ret_demean is similarly defined. The use of demeaned return series is to adjust the\n",
    "    bias created by bullish or bearish markets.\n",
    "    \"\"\"\n",
    "    df['position_open'] = df['signal'].shift()\n",
    "    df['position_open_ret'] = df['position_open'].shift() * df['open_ret']\n",
    "    df['position_open_ret_demean'] = df['position_open'].shift() * df['open_ret_demean']\n",
    "    if demean==True:\n",
    "        return df['position_open_ret_demean']\n",
    "    else:\n",
    "        return df['position_open_ret']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "cols = ['tradeDate','openIndex','closeIndex','open_ret','close_ret','open_ret_demean','close_ret_demean']\n",
    "ta_rules_df = hs300_df[cols].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "# MA\n",
    "ma_params = [30, 20, 10]\n",
    "for ma_param in ma_params:\n",
    "    ta_rules_df[f'MA{ma_param}'] = ta.SMA(ta_rules_df['closeIndex'], ma_param)\n",
    "    ta_rules_df['signal'] = np.nan\n",
    "    ta_rules_df.loc[ta_rules_df['closeIndex'] > ta_rules_df[f'MA{ma_param}'], 'signal'] = 1\n",
    "    ta_rules_df.loc[ta_rules_df['closeIndex'] < ta_rules_df[f'MA{ma_param}'], 'signal'] = 0\n",
    "    ta_rules_df[f'ret_MA{ma_param}'] = rule_return_open(ta_rules_df)\n",
    "    \n",
    "ta_rules_df = ta_rules_df[cols+[f'ret_MA{ma_param}' for ma_param in ma_params]].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>open_ret_demean</th>\n",
       "      <th>close_ret_demean</th>\n",
       "      <th>ret_MA30</th>\n",
       "      <th>ret_MA20</th>\n",
       "      <th>ret_MA10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-01-04</td>\n",
       "      <td>2073.2500</td>\n",
       "      <td>2067.0900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012491</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-01-05</td>\n",
       "      <td>2051.1500</td>\n",
       "      <td>2072.8800</td>\n",
       "      <td>-0.010660</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>-0.010946</td>\n",
       "      <td>0.002534</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>2072.0000</td>\n",
       "      <td>2131.5600</td>\n",
       "      <td>0.010165</td>\n",
       "      <td>0.028308</td>\n",
       "      <td>0.009878</td>\n",
       "      <td>0.028041</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-01-09</td>\n",
       "      <td>2137.4900</td>\n",
       "      <td>2200.0900</td>\n",
       "      <td>0.031607</td>\n",
       "      <td>0.032150</td>\n",
       "      <td>0.031320</td>\n",
       "      <td>0.031883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-01-10</td>\n",
       "      <td>2210.7600</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>0.034279</td>\n",
       "      <td>0.025399</td>\n",
       "      <td>0.033992</td>\n",
       "      <td>0.025132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2007-01-11</td>\n",
       "      <td>2257.0100</td>\n",
       "      <td>2231.6300</td>\n",
       "      <td>0.020920</td>\n",
       "      <td>-0.010789</td>\n",
       "      <td>0.020634</td>\n",
       "      <td>-0.011056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2007-01-12</td>\n",
       "      <td>2215.8600</td>\n",
       "      <td>2173.7500</td>\n",
       "      <td>-0.018232</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>-0.018519</td>\n",
       "      <td>-0.026203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2007-01-15</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.3400</td>\n",
       "      <td>-0.020272</td>\n",
       "      <td>0.052255</td>\n",
       "      <td>-0.020559</td>\n",
       "      <td>0.051988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>-0.001537</td>\n",
       "      <td>-0.008412</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.012738</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4198</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.005659</td>\n",
       "      <td>-0.008373</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4199</th>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>-0.009485</td>\n",
       "      <td>0.020803</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.016946</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4201</th>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>0.015195</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>-0.007145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4202</th>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.011518</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4203</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4204 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       tradeDate  openIndex  closeIndex  open_ret  close_ret  open_ret_demean  \\\n",
       "0     2007-01-04  2073.2500   2067.0900       NaN   0.012758              NaN   \n",
       "1     2007-01-05  2051.1500   2072.8800 -0.010660   0.002801        -0.010946   \n",
       "2     2007-01-08  2072.0000   2131.5600  0.010165   0.028308         0.009878   \n",
       "3     2007-01-09  2137.4900   2200.0900  0.031607   0.032150         0.031320   \n",
       "4     2007-01-10  2210.7600   2255.9700  0.034279   0.025399         0.033992   \n",
       "5     2007-01-11  2257.0100   2231.6300  0.020920  -0.010789         0.020634   \n",
       "6     2007-01-12  2215.8600   2173.7500 -0.018232  -0.025936        -0.018519   \n",
       "7     2007-01-15  2170.9400   2287.3400 -0.020272   0.052255        -0.020559   \n",
       "...          ...        ...         ...       ...        ...              ...   \n",
       "4196  2024-04-10  3528.9679   3504.7086 -0.001250  -0.008145        -0.001537   \n",
       "4197  2024-04-11  3485.0294   3504.2447 -0.012451  -0.000132        -0.012738   \n",
       "4198  2024-04-12  3505.7499   3475.8389  0.005946  -0.008106         0.005659   \n",
       "4199  2024-04-15  3473.5047   3549.0759 -0.009198   0.021070        -0.009485   \n",
       "4200  2024-04-16  3533.3636   3511.1146  0.017233  -0.010696         0.016946   \n",
       "4201  2024-04-17  3509.1318   3565.4030 -0.006858   0.015462        -0.007145   \n",
       "4202  2024-04-18  3550.5562   3569.8018  0.011805   0.001234         0.011518   \n",
       "4203  2024-04-19  3550.6087   3541.6619  0.000015  -0.007883        -0.000272   \n",
       "\n",
       "      close_ret_demean  ret_MA30  ret_MA20  ret_MA10  \n",
       "0             0.012491       NaN       NaN       NaN  \n",
       "1             0.002534       NaN       NaN       NaN  \n",
       "2             0.028041       NaN       NaN       NaN  \n",
       "3             0.031883       NaN       NaN       NaN  \n",
       "4             0.025132       NaN       NaN       NaN  \n",
       "5            -0.011056       NaN       NaN       NaN  \n",
       "6            -0.026203       NaN       NaN       NaN  \n",
       "7             0.051988       NaN       NaN       NaN  \n",
       "...                ...       ...       ...       ...  \n",
       "4196         -0.008412 -0.000000 -0.000000 -0.000000  \n",
       "4197         -0.000399 -0.000000 -0.000000 -0.000000  \n",
       "4198         -0.008373  0.000000  0.000000  0.000000  \n",
       "4199          0.020803 -0.000000 -0.000000 -0.000000  \n",
       "4200         -0.010963  0.000000  0.000000  0.000000  \n",
       "4201          0.015195 -0.000000 -0.007145 -0.007145  \n",
       "4202          0.000967  0.000000  0.000000  0.000000  \n",
       "4203         -0.008150 -0.000272 -0.000272 -0.000272  \n",
       "\n",
       "[4204 rows x 10 columns]"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ta_rules_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "cols = ta_rules_df.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "#EMA\n",
    "ema_params = [30, 20, 10]\n",
    "for ema_param in ema_params:\n",
    "    ta_rules_df[f'EMA{ema_param}'] = ta.EMA(ta_rules_df['closeIndex'], ema_param)\n",
    "    ta_rules_df['signal'] = np.nan\n",
    "    ta_rules_df.loc[ta_rules_df['closeIndex'] > ta_rules_df[f'EMA{ema_param}'], 'signal'] = 1\n",
    "    ta_rules_df.loc[ta_rules_df['closeIndex'] < ta_rules_df[f'EMA{ema_param}'], 'signal'] = 0\n",
    "    ta_rules_df[f'ret_EMA{ema_param}'] = rule_return_open(ta_rules_df)\n",
    "    \n",
    "ta_rules_df = ta_rules_df[cols+[f'ret_EMA{ema_param}' for ema_param in ema_params]].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>open_ret_demean</th>\n",
       "      <th>close_ret_demean</th>\n",
       "      <th>ret_MA30</th>\n",
       "      <th>ret_MA20</th>\n",
       "      <th>ret_MA10</th>\n",
       "      <th>ret_EMA30</th>\n",
       "      <th>ret_EMA20</th>\n",
       "      <th>ret_EMA10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-01-04</td>\n",
       "      <td>2073.2500</td>\n",
       "      <td>2067.0900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012491</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-01-05</td>\n",
       "      <td>2051.1500</td>\n",
       "      <td>2072.8800</td>\n",
       "      <td>-0.010660</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>-0.010946</td>\n",
       "      <td>0.002534</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>2072.0000</td>\n",
       "      <td>2131.5600</td>\n",
       "      <td>0.010165</td>\n",
       "      <td>0.028308</td>\n",
       "      <td>0.009878</td>\n",
       "      <td>0.028041</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-01-09</td>\n",
       "      <td>2137.4900</td>\n",
       "      <td>2200.0900</td>\n",
       "      <td>0.031607</td>\n",
       "      <td>0.032150</td>\n",
       "      <td>0.031320</td>\n",
       "      <td>0.031883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-01-10</td>\n",
       "      <td>2210.7600</td>\n",
       "      <td>2255.9700</td>\n",
       "      <td>0.034279</td>\n",
       "      <td>0.025399</td>\n",
       "      <td>0.033992</td>\n",
       "      <td>0.025132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2007-01-11</td>\n",
       "      <td>2257.0100</td>\n",
       "      <td>2231.6300</td>\n",
       "      <td>0.020920</td>\n",
       "      <td>-0.010789</td>\n",
       "      <td>0.020634</td>\n",
       "      <td>-0.011056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2007-01-12</td>\n",
       "      <td>2215.8600</td>\n",
       "      <td>2173.7500</td>\n",
       "      <td>-0.018232</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>-0.018519</td>\n",
       "      <td>-0.026203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2007-01-15</td>\n",
       "      <td>2170.9400</td>\n",
       "      <td>2287.3400</td>\n",
       "      <td>-0.020272</td>\n",
       "      <td>0.052255</td>\n",
       "      <td>-0.020559</td>\n",
       "      <td>0.051988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>-0.001537</td>\n",
       "      <td>-0.008412</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.001537</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.012738</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.012738</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4198</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.005659</td>\n",
       "      <td>-0.008373</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4199</th>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>-0.009485</td>\n",
       "      <td>0.020803</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.016946</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4201</th>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>0.015195</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>-0.007145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4202</th>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.011518</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4203</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.007883</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.008150</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4204 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       tradeDate  openIndex  closeIndex  open_ret  close_ret  open_ret_demean  \\\n",
       "0     2007-01-04  2073.2500   2067.0900       NaN   0.012758              NaN   \n",
       "1     2007-01-05  2051.1500   2072.8800 -0.010660   0.002801        -0.010946   \n",
       "2     2007-01-08  2072.0000   2131.5600  0.010165   0.028308         0.009878   \n",
       "3     2007-01-09  2137.4900   2200.0900  0.031607   0.032150         0.031320   \n",
       "4     2007-01-10  2210.7600   2255.9700  0.034279   0.025399         0.033992   \n",
       "5     2007-01-11  2257.0100   2231.6300  0.020920  -0.010789         0.020634   \n",
       "6     2007-01-12  2215.8600   2173.7500 -0.018232  -0.025936        -0.018519   \n",
       "7     2007-01-15  2170.9400   2287.3400 -0.020272   0.052255        -0.020559   \n",
       "...          ...        ...         ...       ...        ...              ...   \n",
       "4196  2024-04-10  3528.9679   3504.7086 -0.001250  -0.008145        -0.001537   \n",
       "4197  2024-04-11  3485.0294   3504.2447 -0.012451  -0.000132        -0.012738   \n",
       "4198  2024-04-12  3505.7499   3475.8389  0.005946  -0.008106         0.005659   \n",
       "4199  2024-04-15  3473.5047   3549.0759 -0.009198   0.021070        -0.009485   \n",
       "4200  2024-04-16  3533.3636   3511.1146  0.017233  -0.010696         0.016946   \n",
       "4201  2024-04-17  3509.1318   3565.4030 -0.006858   0.015462        -0.007145   \n",
       "4202  2024-04-18  3550.5562   3569.8018  0.011805   0.001234         0.011518   \n",
       "4203  2024-04-19  3550.6087   3541.6619  0.000015  -0.007883        -0.000272   \n",
       "\n",
       "      close_ret_demean  ret_MA30  ret_MA20  ret_MA10  ret_EMA30  ret_EMA20  \\\n",
       "0             0.012491       NaN       NaN       NaN        NaN        NaN   \n",
       "1             0.002534       NaN       NaN       NaN        NaN        NaN   \n",
       "2             0.028041       NaN       NaN       NaN        NaN        NaN   \n",
       "3             0.031883       NaN       NaN       NaN        NaN        NaN   \n",
       "4             0.025132       NaN       NaN       NaN        NaN        NaN   \n",
       "5            -0.011056       NaN       NaN       NaN        NaN        NaN   \n",
       "6            -0.026203       NaN       NaN       NaN        NaN        NaN   \n",
       "7             0.051988       NaN       NaN       NaN        NaN        NaN   \n",
       "...                ...       ...       ...       ...        ...        ...   \n",
       "4196         -0.008412 -0.000000 -0.000000 -0.000000  -0.001537  -0.000000   \n",
       "4197         -0.000399 -0.000000 -0.000000 -0.000000  -0.012738  -0.000000   \n",
       "4198         -0.008373  0.000000  0.000000  0.000000   0.000000   0.000000   \n",
       "4199          0.020803 -0.000000 -0.000000 -0.000000  -0.000000  -0.000000   \n",
       "4200         -0.010963  0.000000  0.000000  0.000000   0.000000   0.000000   \n",
       "4201          0.015195 -0.000000 -0.007145 -0.007145  -0.007145  -0.007145   \n",
       "4202          0.000967  0.000000  0.000000  0.000000   0.000000   0.000000   \n",
       "4203         -0.008150 -0.000272 -0.000272 -0.000272  -0.000272  -0.000272   \n",
       "\n",
       "      ret_EMA10  \n",
       "0           NaN  \n",
       "1           NaN  \n",
       "2           NaN  \n",
       "3           NaN  \n",
       "4           NaN  \n",
       "5           NaN  \n",
       "6           NaN  \n",
       "7           NaN  \n",
       "...         ...  \n",
       "4196  -0.000000  \n",
       "4197  -0.000000  \n",
       "4198   0.000000  \n",
       "4199  -0.000000  \n",
       "4200   0.000000  \n",
       "4201  -0.007145  \n",
       "4202   0.000000  \n",
       "4203  -0.000272  \n",
       "\n",
       "[4204 rows x 13 columns]"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ta_rules_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "cols = ta_rules_df.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "# MACD\n",
    "macd_models = {'MACD1': {'fastperiod':12, 'slowperiod':26, 'signalperiod':9},\n",
    "               'MACD2': {'fastperiod':10, 'slowperiod':20, 'signalperiod':5}}\n",
    "for macd, param in macd_models.items():\n",
    "    ta_rules_df[macd], ta_rules_df[f'{macd}_signal'], _ = ta.MACD(ta_rules_df['closeIndex'], fastperiod=param['fastperiod'], slowperiod=param['slowperiod'], signalperiod=param['signalperiod'])\n",
    "    ta_rules_df['signal'] = 0\n",
    "    ta_rules_df.loc[ta_rules_df[macd] > ta_rules_df[f'{macd}_signal'], 'signal'] = 1\n",
    "    ta_rules_df[f'ret_{macd}'] = rule_return_open(ta_rules_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "ta_rules_df.dropna(inplace=True)\n",
    "ta_rules_df.reset_index(inplace=True,drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>openIndex</th>\n",
       "      <th>closeIndex</th>\n",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>open_ret_demean</th>\n",
       "      <th>close_ret_demean</th>\n",
       "      <th>ret_MA30</th>\n",
       "      <th>ret_MA20</th>\n",
       "      <th>ret_MA10</th>\n",
       "      <th>...</th>\n",
       "      <th>MACD1</th>\n",
       "      <th>MACD1_signal</th>\n",
       "      <th>signal</th>\n",
       "      <th>position_open</th>\n",
       "      <th>position_open_ret</th>\n",
       "      <th>position_open_ret_demean</th>\n",
       "      <th>ret_MACD1</th>\n",
       "      <th>MACD2</th>\n",
       "      <th>MACD2_signal</th>\n",
       "      <th>ret_MACD2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-02-27</td>\n",
       "      <td>2717.8100</td>\n",
       "      <td>2457.4900</td>\n",
       "      <td>0.014385</td>\n",
       "      <td>-0.092400</td>\n",
       "      <td>0.014098</td>\n",
       "      <td>-0.092667</td>\n",
       "      <td>0.014098</td>\n",
       "      <td>0.014098</td>\n",
       "      <td>0.014098</td>\n",
       "      <td>...</td>\n",
       "      <td>90.911597</td>\n",
       "      <td>86.028313</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.014385</td>\n",
       "      <td>0.014098</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>71.690413</td>\n",
       "      <td>73.792501</td>\n",
       "      <td>0.014098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-02-28</td>\n",
       "      <td>2413.4200</td>\n",
       "      <td>2544.5700</td>\n",
       "      <td>-0.111998</td>\n",
       "      <td>0.035435</td>\n",
       "      <td>-0.112285</td>\n",
       "      <td>0.035168</td>\n",
       "      <td>-0.112285</td>\n",
       "      <td>-0.112285</td>\n",
       "      <td>-0.112285</td>\n",
       "      <td>...</td>\n",
       "      <td>84.683369</td>\n",
       "      <td>85.759325</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.111998</td>\n",
       "      <td>-0.112285</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>65.064530</td>\n",
       "      <td>70.883178</td>\n",
       "      <td>-0.112285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-03-01</td>\n",
       "      <td>2550.2600</td>\n",
       "      <td>2473.5400</td>\n",
       "      <td>0.056700</td>\n",
       "      <td>-0.027914</td>\n",
       "      <td>0.056413</td>\n",
       "      <td>-0.028181</td>\n",
       "      <td>0.056413</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>73.172441</td>\n",
       "      <td>83.241948</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.056413</td>\n",
       "      <td>52.883214</td>\n",
       "      <td>64.883190</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-03-02</td>\n",
       "      <td>2468.6700</td>\n",
       "      <td>2508.7300</td>\n",
       "      <td>-0.031993</td>\n",
       "      <td>0.014227</td>\n",
       "      <td>-0.032280</td>\n",
       "      <td>0.013960</td>\n",
       "      <td>-0.032280</td>\n",
       "      <td>-0.032280</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>66.127212</td>\n",
       "      <td>79.819001</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>45.996903</td>\n",
       "      <td>58.587761</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-03-05</td>\n",
       "      <td>2503.8200</td>\n",
       "      <td>2475.6100</td>\n",
       "      <td>0.014238</td>\n",
       "      <td>-0.013202</td>\n",
       "      <td>0.013952</td>\n",
       "      <td>-0.013469</td>\n",
       "      <td>0.013952</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>57.211809</td>\n",
       "      <td>75.297562</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.235228</td>\n",
       "      <td>51.470250</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2007-03-06</td>\n",
       "      <td>2467.7400</td>\n",
       "      <td>2520.2900</td>\n",
       "      <td>-0.014410</td>\n",
       "      <td>0.018048</td>\n",
       "      <td>-0.014697</td>\n",
       "      <td>0.017781</td>\n",
       "      <td>-0.014697</td>\n",
       "      <td>-0.014697</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>53.139036</td>\n",
       "      <td>70.865857</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>33.972945</td>\n",
       "      <td>45.637815</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2007-03-07</td>\n",
       "      <td>2532.9800</td>\n",
       "      <td>2589.4400</td>\n",
       "      <td>0.026437</td>\n",
       "      <td>0.027437</td>\n",
       "      <td>0.026150</td>\n",
       "      <td>0.027170</td>\n",
       "      <td>0.026150</td>\n",
       "      <td>0.026150</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>54.858783</td>\n",
       "      <td>67.664442</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>36.956746</td>\n",
       "      <td>42.744125</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2007-03-08</td>\n",
       "      <td>2597.7200</td>\n",
       "      <td>2627.6300</td>\n",
       "      <td>0.025559</td>\n",
       "      <td>0.014748</td>\n",
       "      <td>0.025272</td>\n",
       "      <td>0.014481</td>\n",
       "      <td>0.025272</td>\n",
       "      <td>0.025272</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>58.627488</td>\n",
       "      <td>65.857051</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>41.832083</td>\n",
       "      <td>42.440111</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4163</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>3528.9679</td>\n",
       "      <td>3504.7086</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008145</td>\n",
       "      <td>-0.001537</td>\n",
       "      <td>-0.008412</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>13.893066</td>\n",
       "      <td>25.101163</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>3.496673</td>\n",
       "      <td>9.118013</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4164</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>3485.0294</td>\n",
       "      <td>3504.2447</td>\n",
       "      <td>-0.012451</td>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.012738</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.739271</td>\n",
       "      <td>22.028785</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.128888</td>\n",
       "      <td>6.035713</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4165</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>3505.7499</td>\n",
       "      <td>3475.8389</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.005659</td>\n",
       "      <td>-0.008373</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.107895</td>\n",
       "      <td>18.444607</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-5.269890</td>\n",
       "      <td>2.267178</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4166</th>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>3473.5047</td>\n",
       "      <td>3549.0759</td>\n",
       "      <td>-0.009198</td>\n",
       "      <td>0.021070</td>\n",
       "      <td>-0.009485</td>\n",
       "      <td>0.020803</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.491302</td>\n",
       "      <td>15.853946</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-2.643448</td>\n",
       "      <td>0.630303</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4167</th>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>3533.3636</td>\n",
       "      <td>3511.1146</td>\n",
       "      <td>0.017233</td>\n",
       "      <td>-0.010696</td>\n",
       "      <td>0.016946</td>\n",
       "      <td>-0.010963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.484337</td>\n",
       "      <td>13.380024</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-3.940117</td>\n",
       "      <td>-0.893170</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4168</th>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>3509.1318</td>\n",
       "      <td>3565.4030</td>\n",
       "      <td>-0.006858</td>\n",
       "      <td>0.015462</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>0.015195</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>...</td>\n",
       "      <td>6.202920</td>\n",
       "      <td>11.944603</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.131467</td>\n",
       "      <td>-0.639269</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4169</th>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>3550.5562</td>\n",
       "      <td>3569.8018</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.011518</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.613076</td>\n",
       "      <td>11.278298</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.071048</td>\n",
       "      <td>0.597503</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4170</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>3550.6087</td>\n",
       "      <td>3541.6619</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.007883</td>\n",
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       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>-0.000272</td>\n",
       "      <td>...</td>\n",
       "      <td>8.158442</td>\n",
       "      <td>10.654327</td>\n",
       "      <td>1</td>\n",
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       "      <td>-0.000000</td>\n",
       "      <td>2.952207</td>\n",
       "      <td>1.382404</td>\n",
       "      <td>-0.000272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4171 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       tradeDate  openIndex  closeIndex  open_ret  close_ret  open_ret_demean  \\\n",
       "0     2007-02-27  2717.8100   2457.4900  0.014385  -0.092400         0.014098   \n",
       "1     2007-02-28  2413.4200   2544.5700 -0.111998   0.035435        -0.112285   \n",
       "2     2007-03-01  2550.2600   2473.5400  0.056700  -0.027914         0.056413   \n",
       "3     2007-03-02  2468.6700   2508.7300 -0.031993   0.014227        -0.032280   \n",
       "4     2007-03-05  2503.8200   2475.6100  0.014238  -0.013202         0.013952   \n",
       "5     2007-03-06  2467.7400   2520.2900 -0.014410   0.018048        -0.014697   \n",
       "6     2007-03-07  2532.9800   2589.4400  0.026437   0.027437         0.026150   \n",
       "7     2007-03-08  2597.7200   2627.6300  0.025559   0.014748         0.025272   \n",
       "...          ...        ...         ...       ...        ...              ...   \n",
       "4163  2024-04-10  3528.9679   3504.7086 -0.001250  -0.008145        -0.001537   \n",
       "4164  2024-04-11  3485.0294   3504.2447 -0.012451  -0.000132        -0.012738   \n",
       "4165  2024-04-12  3505.7499   3475.8389  0.005946  -0.008106         0.005659   \n",
       "4166  2024-04-15  3473.5047   3549.0759 -0.009198   0.021070        -0.009485   \n",
       "4167  2024-04-16  3533.3636   3511.1146  0.017233  -0.010696         0.016946   \n",
       "4168  2024-04-17  3509.1318   3565.4030 -0.006858   0.015462        -0.007145   \n",
       "4169  2024-04-18  3550.5562   3569.8018  0.011805   0.001234         0.011518   \n",
       "4170  2024-04-19  3550.6087   3541.6619  0.000015  -0.007883        -0.000272   \n",
       "\n",
       "      close_ret_demean  ret_MA30  ret_MA20  ret_MA10  ...      MACD1  \\\n",
       "0            -0.092667  0.014098  0.014098  0.014098  ...  90.911597   \n",
       "1             0.035168 -0.112285 -0.112285 -0.112285  ...  84.683369   \n",
       "2            -0.028181  0.056413  0.000000  0.000000  ...  73.172441   \n",
       "3             0.013960 -0.032280 -0.032280 -0.000000  ...  66.127212   \n",
       "4            -0.013469  0.013952  0.000000  0.000000  ...  57.211809   \n",
       "5             0.017781 -0.014697 -0.014697 -0.000000  ...  53.139036   \n",
       "6             0.027170  0.026150  0.026150  0.000000  ...  54.858783   \n",
       "7             0.014481  0.025272  0.025272  0.000000  ...  58.627488   \n",
       "...                ...       ...       ...       ...  ...        ...   \n",
       "4163         -0.008412 -0.000000 -0.000000 -0.000000  ...  13.893066   \n",
       "4164         -0.000399 -0.000000 -0.000000 -0.000000  ...   9.739271   \n",
       "4165         -0.008373  0.000000  0.000000  0.000000  ...   4.107895   \n",
       "4166          0.020803 -0.000000 -0.000000 -0.000000  ...   5.491302   \n",
       "4167         -0.010963  0.000000  0.000000  0.000000  ...   3.484337   \n",
       "4168          0.015195 -0.000000 -0.007145 -0.007145  ...   6.202920   \n",
       "4169          0.000967  0.000000  0.000000  0.000000  ...   8.613076   \n",
       "4170         -0.008150 -0.000272 -0.000272 -0.000272  ...   8.158442   \n",
       "\n",
       "      MACD1_signal  signal  position_open  position_open_ret  \\\n",
       "0        86.028313       0            1.0           0.014385   \n",
       "1        85.759325       0            0.0          -0.111998   \n",
       "2        83.241948       0            0.0           0.000000   \n",
       "3        79.819001       0            0.0          -0.000000   \n",
       "4        75.297562       0            0.0           0.000000   \n",
       "5        70.865857       0            0.0          -0.000000   \n",
       "6        67.664442       0            0.0           0.000000   \n",
       "7        65.857051       0            0.0           0.000000   \n",
       "...            ...     ...            ...                ...   \n",
       "4163     25.101163       0            0.0          -0.000000   \n",
       "4164     22.028785       0            0.0          -0.000000   \n",
       "4165     18.444607       0            0.0           0.000000   \n",
       "4166     15.853946       0            0.0          -0.000000   \n",
       "4167     13.380024       0            0.0           0.000000   \n",
       "4168     11.944603       1            0.0          -0.000000   \n",
       "4169     11.278298       1            1.0           0.000000   \n",
       "4170     10.654327       1            1.0           0.000015   \n",
       "\n",
       "      position_open_ret_demean  ret_MACD1      MACD2  MACD2_signal  ret_MACD2  \n",
       "0                     0.014098   0.000000  71.690413     73.792501   0.014098  \n",
       "1                    -0.112285  -0.000000  65.064530     70.883178  -0.112285  \n",
       "2                     0.000000   0.056413  52.883214     64.883190   0.000000  \n",
       "3                    -0.000000  -0.000000  45.996903     58.587761  -0.000000  \n",
       "4                     0.000000   0.000000  37.235228     51.470250   0.000000  \n",
       "5                    -0.000000  -0.000000  33.972945     45.637815  -0.000000  \n",
       "6                     0.000000   0.000000  36.956746     42.744125   0.000000  \n",
       "7                     0.000000   0.000000  41.832083     42.440111   0.000000  \n",
       "...                        ...        ...        ...           ...        ...  \n",
       "4163                 -0.000000  -0.000000   3.496673      9.118013  -0.000000  \n",
       "4164                 -0.000000  -0.000000  -0.128888      6.035713  -0.000000  \n",
       "4165                  0.000000   0.000000  -5.269890      2.267178   0.000000  \n",
       "4166                 -0.000000  -0.000000  -2.643448      0.630303  -0.000000  \n",
       "4167                  0.000000   0.000000  -3.940117     -0.893170   0.000000  \n",
       "4168                 -0.000000  -0.000000  -0.131467     -0.639269  -0.000000  \n",
       "4169                  0.000000   0.000000   3.071048      0.597503   0.000000  \n",
       "4170                 -0.000272  -0.000000   2.952207      1.382404  -0.000272  \n",
       "\n",
       "[4171 rows x 23 columns]"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ta_rules_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>ret_MA30</th>\n",
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       "      <td>-0.000272</td>\n",
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       "      <td>-0.000272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4171 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ret_MA30  ret_MA20  ret_MA10  ret_EMA30  ret_EMA20  ret_EMA10  \\\n",
       "0     0.014098  0.014098  0.014098   0.014098   0.014098   0.014098   \n",
       "1    -0.112285 -0.112285 -0.112285  -0.112285  -0.112285  -0.112285   \n",
       "2     0.056413  0.000000  0.000000   0.056413   0.000000   0.000000   \n",
       "3    -0.032280 -0.032280 -0.000000  -0.032280  -0.032280  -0.032280   \n",
       "4     0.013952  0.000000  0.000000   0.013952   0.000000   0.000000   \n",
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       "4169  0.000000  0.000000  0.000000   0.000000   0.000000   0.000000   \n",
       "4170 -0.000272 -0.000272 -0.000272  -0.000272  -0.000272  -0.000272   \n",
       "\n",
       "      ret_MACD1  ret_MACD2  \n",
       "0      0.000000   0.014098  \n",
       "1     -0.000000  -0.112285  \n",
       "2      0.056413   0.000000  \n",
       "3     -0.000000  -0.000000  \n",
       "4      0.000000   0.000000  \n",
       "5     -0.000000  -0.000000  \n",
       "6      0.000000   0.000000  \n",
       "7      0.000000   0.000000  \n",
       "...         ...        ...  \n",
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       "4168  -0.000000  -0.000000  \n",
       "4169   0.000000   0.000000  \n",
       "4170  -0.000000  -0.000272  \n",
       "\n",
       "[4171 rows x 8 columns]"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "multi_rule_cols = ta_rules_df.columns[ta_rules_df.columns.str.startswith('ret')]\n",
    "\n",
    "multi_rule_ret_df = ta_rules_df[multi_rule_cols].copy()\n",
    "\n",
    "multi_rule_ret_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "def multi_white_reality_test(target_rule, multi_rule_ret_df, n_bootstrap=500):\n",
    "    \"\"\"\n",
    "    target_rule: the name of the rule under consideration. target_rule should be one column of multi_rule_ret_df.\n",
    "    multi_rule_ret_df: the df of multiple rule returns.\n",
    "    \"\"\"\n",
    "    n_sample = multi_rule_ret_df.shape[0]\n",
    "    if n_sample < 100:\n",
    "        return None\n",
    "    else:   \n",
    "        max_bs_distr = np.full(shape=n_bootstrap, fill_value=np.nan)\n",
    "        multi_rule_ret_df_mean = multi_rule_ret_df - multi_rule_ret_df.mean()\n",
    "        for i in tqdm(range(n_bootstrap)):\n",
    "            idx = np.random.choice(multi_rule_ret_df.index, n_sample)\n",
    "            max_bs_distr[i] = multi_rule_ret_df_mean.loc[idx].mean().max()\n",
    "        pvalue = (max_bs_distr > multi_rule_ret_df[target_rule].mean()).sum() / n_bootstrap\n",
    "        return pvalue, max_bs_distr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 500/500 [00:00<00:00, 679.92it/s]\n"
     ]
    }
   ],
   "source": [
    "p_MACD1, max_bs_distr_MACD1 = multi_white_reality_test(target_rule='ret_MACD1', multi_rule_ret_df=multi_rule_ret_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.526"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_MACD1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "Compare this with the WRC when there is only one "
   ]
  }
 ],
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