{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import tqdm\n",
    "import gc\n",
    "import matplotlib.pyplot as plt\n",
    "import talib as ta\n",
    "pd.set_option('display.max_rows', 16)\n",
    "\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (16.0, 9.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.4.17'"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ta.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "START = '20070101'\n",
    "END = '20221231'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "index_info = DataAPI.SecIDGet(assetClass=\"IDX\",pandas=\"1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "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": 195,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>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>2728.188</td>\n",
       "      <td>2847.615</td>\n",
       "      <td>2684.818</td>\n",
       "      <td>2715.719</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>2668.577</td>\n",
       "      <td>2685.804</td>\n",
       "      <td>2617.019</td>\n",
       "      <td>2641.334</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>2621.068</td>\n",
       "      <td>2708.444</td>\n",
       "      <td>2620.625</td>\n",
       "      <td>2707.199</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>2711.049</td>\n",
       "      <td>2809.394</td>\n",
       "      <td>2691.360</td>\n",
       "      <td>2807.804</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>2838.113</td>\n",
       "      <td>2841.741</td>\n",
       "      <td>2770.988</td>\n",
       "      <td>2825.576</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>2819.367</td>\n",
       "      <td>2841.180</td>\n",
       "      <td>2763.886</td>\n",
       "      <td>2770.110</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>2745.321</td>\n",
       "      <td>2782.025</td>\n",
       "      <td>2652.578</td>\n",
       "      <td>2668.110</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>2660.070</td>\n",
       "      <td>2795.331</td>\n",
       "      <td>2658.879</td>\n",
       "      <td>2794.701</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>21391</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>2121.953</td>\n",
       "      <td>2150.580</td>\n",
       "      <td>2116.618</td>\n",
       "      <td>2144.901</td>\n",
       "      <td>45201628249</td>\n",
       "      <td>5.620501e+11</td>\n",
       "      <td>0.005576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21392</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>2152.240</td>\n",
       "      <td>2170.287</td>\n",
       "      <td>2136.911</td>\n",
       "      <td>2160.538</td>\n",
       "      <td>47249131825</td>\n",
       "      <td>5.940692e+11</td>\n",
       "      <td>0.007290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21393</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>2155.890</td>\n",
       "      <td>2166.647</td>\n",
       "      <td>2140.086</td>\n",
       "      <td>2151.682</td>\n",
       "      <td>46450150819</td>\n",
       "      <td>5.599974e+11</td>\n",
       "      <td>-0.004099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21394</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>2157.793</td>\n",
       "      <td>2170.057</td>\n",
       "      <td>2147.801</td>\n",
       "      <td>2163.199</td>\n",
       "      <td>45067751249</td>\n",
       "      <td>5.373947e+11</td>\n",
       "      <td>0.005353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21395</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>2150.700</td>\n",
       "      <td>2158.295</td>\n",
       "      <td>2127.387</td>\n",
       "      <td>2144.342</td>\n",
       "      <td>44069282709</td>\n",
       "      <td>5.293617e+11</td>\n",
       "      <td>-0.008717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21396</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-25</td>\n",
       "      <td>2146.102</td>\n",
       "      <td>2152.020</td>\n",
       "      <td>2113.733</td>\n",
       "      <td>2113.733</td>\n",
       "      <td>43718468033</td>\n",
       "      <td>5.284918e+11</td>\n",
       "      <td>-0.014274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21397</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-28</td>\n",
       "      <td>2098.794</td>\n",
       "      <td>2114.635</td>\n",
       "      <td>2075.709</td>\n",
       "      <td>2096.502</td>\n",
       "      <td>42333298775</td>\n",
       "      <td>4.959139e+11</td>\n",
       "      <td>-0.008152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21398</th>\n",
       "      <td>399106.ZICN</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>2022-03-29</td>\n",
       "      <td>2101.236</td>\n",
       "      <td>2109.786</td>\n",
       "      <td>2077.145</td>\n",
       "      <td>2084.473</td>\n",
       "      <td>42513225308</td>\n",
       "      <td>5.000129e+11</td>\n",
       "      <td>-0.005738</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21399 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
       "0      000001.ZICN         上证综指  2007-01-04   2728.188      2847.615   \n",
       "1      000001.ZICN         上证综指  2007-01-05   2668.577      2685.804   \n",
       "2      000001.ZICN         上证综指  2007-01-08   2621.068      2708.444   \n",
       "3      000001.ZICN         上证综指  2007-01-09   2711.049      2809.394   \n",
       "4      000001.ZICN         上证综指  2007-01-10   2838.113      2841.741   \n",
       "5      000001.ZICN         上证综指  2007-01-11   2819.367      2841.180   \n",
       "6      000001.ZICN         上证综指  2007-01-12   2745.321      2782.025   \n",
       "7      000001.ZICN         上证综指  2007-01-15   2660.070      2795.331   \n",
       "...            ...          ...         ...        ...           ...   \n",
       "21391  399106.ZICN         深证综指  2022-03-18   2121.953      2150.580   \n",
       "21392  399106.ZICN         深证综指  2022-03-21   2152.240      2170.287   \n",
       "21393  399106.ZICN         深证综指  2022-03-22   2155.890      2166.647   \n",
       "21394  399106.ZICN         深证综指  2022-03-23   2157.793      2170.057   \n",
       "21395  399106.ZICN         深证综指  2022-03-24   2150.700      2158.295   \n",
       "21396  399106.ZICN         深证综指  2022-03-25   2146.102      2152.020   \n",
       "21397  399106.ZICN         深证综指  2022-03-28   2098.794      2114.635   \n",
       "21398  399106.ZICN         深证综指  2022-03-29   2101.236      2109.786   \n",
       "\n",
       "       lowestIndex  closeIndex  turnoverVol  turnoverValue    CHGPct  \n",
       "0         2684.818    2715.719  12015602100   8.394553e+10  0.015042  \n",
       "1         2617.019    2641.334  10615562500   7.012870e+10 -0.027391  \n",
       "2         2620.625    2707.199  10681324400   7.216588e+10  0.024936  \n",
       "3         2691.360    2807.804  11075126700   8.622197e+10  0.037162  \n",
       "4         2770.988    2825.576  11176936500   7.905066e+10  0.006330  \n",
       "5         2763.886    2770.110  12159871700   8.398673e+10 -0.019630  \n",
       "6         2652.578    2668.110  10730376800   7.343404e+10 -0.036822  \n",
       "7         2658.879    2794.701   9176156100   6.693948e+10  0.047446  \n",
       "...            ...         ...          ...            ...       ...  \n",
       "21391     2116.618    2144.901  45201628249   5.620501e+11  0.005576  \n",
       "21392     2136.911    2160.538  47249131825   5.940692e+11  0.007290  \n",
       "21393     2140.086    2151.682  46450150819   5.599974e+11 -0.004099  \n",
       "21394     2147.801    2163.199  45067751249   5.373947e+11  0.005353  \n",
       "21395     2127.387    2144.342  44069282709   5.293617e+11 -0.008717  \n",
       "21396     2113.733    2113.733  43718468033   5.284918e+11 -0.014274  \n",
       "21397     2075.709    2096.502  42333298775   4.959139e+11 -0.008152  \n",
       "21398     2077.145    2084.473  42513225308   5.000129e+11 -0.005738  \n",
       "\n",
       "[21399 rows x 10 columns]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "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",
    "stk_info = stk_info[cond1 & cond2].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": 197,
   "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": 198,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df = pd.read_pickle('./data/stk_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9972182, 10)\n",
      "(9572273, 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": 200,
   "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>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>3697</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>4218.4736</td>\n",
       "      <td>4283.3679</td>\n",
       "      <td>4194.9402</td>\n",
       "      <td>4265.9017</td>\n",
       "      <td>14945830500</td>\n",
       "      <td>2.757913e+11</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>-0.004530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3698</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>4280.1397</td>\n",
       "      <td>4287.8166</td>\n",
       "      <td>4223.0240</td>\n",
       "      <td>4258.7459</td>\n",
       "      <td>12703636000</td>\n",
       "      <td>2.512145e+11</td>\n",
       "      <td>-0.001677</td>\n",
       "      <td>0.014618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3699</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>4252.5658</td>\n",
       "      <td>4283.3344</td>\n",
       "      <td>4236.6888</td>\n",
       "      <td>4255.2950</td>\n",
       "      <td>12638247000</td>\n",
       "      <td>2.262135e+11</td>\n",
       "      <td>-0.000810</td>\n",
       "      <td>-0.006442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3700</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>4269.6088</td>\n",
       "      <td>4287.5771</td>\n",
       "      <td>4241.9570</td>\n",
       "      <td>4276.5174</td>\n",
       "      <td>11708907800</td>\n",
       "      <td>2.263908e+11</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>0.004008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3701</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>4249.5328</td>\n",
       "      <td>4273.9568</td>\n",
       "      <td>4216.8506</td>\n",
       "      <td>4251.3061</td>\n",
       "      <td>10891827200</td>\n",
       "      <td>2.195944e+11</td>\n",
       "      <td>-0.005895</td>\n",
       "      <td>-0.004702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3702</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-25</td>\n",
       "      <td>4249.0731</td>\n",
       "      <td>4254.8449</td>\n",
       "      <td>4173.9300</td>\n",
       "      <td>4174.5742</td>\n",
       "      <td>10880804600</td>\n",
       "      <td>2.170132e+11</td>\n",
       "      <td>-0.018049</td>\n",
       "      <td>-0.000108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3703</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-28</td>\n",
       "      <td>4128.8379</td>\n",
       "      <td>4174.1206</td>\n",
       "      <td>4091.2978</td>\n",
       "      <td>4148.4663</td>\n",
       "      <td>11844902100</td>\n",
       "      <td>2.134690e+11</td>\n",
       "      <td>-0.006254</td>\n",
       "      <td>-0.028297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3704</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-29</td>\n",
       "      <td>4155.4182</td>\n",
       "      <td>4177.2134</td>\n",
       "      <td>4124.7179</td>\n",
       "      <td>4134.1441</td>\n",
       "      <td>10026697200</td>\n",
       "      <td>1.994639e+11</td>\n",
       "      <td>-0.003452</td>\n",
       "      <td>0.006438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3705 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",
       "3697  000300.ZICN        沪深300  2022-03-18  4218.4736     4283.3679   \n",
       "3698  000300.ZICN        沪深300  2022-03-21  4280.1397     4287.8166   \n",
       "3699  000300.ZICN        沪深300  2022-03-22  4252.5658     4283.3344   \n",
       "3700  000300.ZICN        沪深300  2022-03-23  4269.6088     4287.5771   \n",
       "3701  000300.ZICN        沪深300  2022-03-24  4249.5328     4273.9568   \n",
       "3702  000300.ZICN        沪深300  2022-03-25  4249.0731     4254.8449   \n",
       "3703  000300.ZICN        沪深300  2022-03-28  4128.8379     4174.1206   \n",
       "3704  000300.ZICN        沪深300  2022-03-29  4155.4182     4177.2134   \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",
       "3697    4194.9402   4265.9017  14945830500   2.757913e+11   0.006656 -0.004530  \n",
       "3698    4223.0240   4258.7459  12703636000   2.512145e+11  -0.001677  0.014618  \n",
       "3699    4236.6888   4255.2950  12638247000   2.262135e+11  -0.000810 -0.006442  \n",
       "3700    4241.9570   4276.5174  11708907800   2.263908e+11   0.004987  0.004008  \n",
       "3701    4216.8506   4251.3061  10891827200   2.195944e+11  -0.005895 -0.004702  \n",
       "3702    4173.9300   4174.5742  10880804600   2.170132e+11  -0.018049 -0.000108  \n",
       "3703    4091.2978   4148.4663  11844902100   2.134690e+11  -0.006254 -0.028297  \n",
       "3704    4124.7179   4134.1441  10026697200   1.994639e+11  -0.003452  0.006438  \n",
       "\n",
       "[3705 rows x 11 columns]"
      ]
     },
     "execution_count": 200,
     "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": 201,
   "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": 202,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3.705000e+03\n",
       "mean     3.372008e-04\n",
       "std      3.026228e-18\n",
       "min      3.372008e-04\n",
       "25%      3.372008e-04\n",
       "50%      3.372008e-04\n",
       "75%      3.372008e-04\n",
       "max      3.372008e-04\n",
       "dtype: float64"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(hs300_df['close_ret']- hs300_df['close_ret_demean']).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bbe74310>"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(hs300_df['close_ret']- hs300_df['close_ret_demean']).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bb0a3c90>"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TAACAxohOAAAAGiM6AQAAaIzoBAAAoDHzis5SyjmllKtLKbeUUj5USvnJUsqdpZQ7Sin/uOlBAgAAcGTqHG6GUspAkk8leU+t9eb+tB9I8qr+LHeWUv57rXVXc8MEAADgSHTY6ExySZIbZ4MzSWqtn5/9eyllW5LFSUQnAAAAzzCfy2vPTtItpVxTSrm+lPKG2RtKKack6dRaHz3wTqWUD5dSbiil3LBly5YXcMgAAAAcKeYTnYuSrEnyliTvS/KxJCmldJL8tyQ/+1x3qrVeUWvdWGvduHr16hdouAAAABxJ5hOdO5NcVWsdr7XemWRpKaWd5D8l+eta6xcaHSEAAABHrPlE55VJ3l5K6ZRSTkqyPckHk6ystf7rRkcHAADAEe2wXyRUa723lPLpJDcn6Sb5SJKrkjxQSrmlP9uv11o/0dwwAQAAOBLN59trU2u9PMnl+00aamY4AAAAvJzM5/JaAAAAeF5EJwAAAI0RnQAAADRGdAIAANAY0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGNEJwAAAI0RnQAAADRGdH4X2jE6mVrrSz0MAACA75jo/C7z4NbRnPfLV+UTX3/opR4KAADAd0x0fpfZtG00SfKFO596iUcCAADwnROd32XKSz0AAACAF5Do/C5TiuwEAABePkTnd5nZ5PQ9QgAAwMuB6PwuU+f+qzoBAIAjn+j8LjM1PfNSDwEAAOAF03kxnmR6pveu3cxMTSm9zy12Z2rGJqcz0G7NzTPdncnwQDujE9OpSYY6rbRKyVCnlVJKdoxNZvFwJ+1S5t4H7LRKZmqyb6qbWmsWDnayZ3w6i4c72TfVzUC7lXar93zTMzNpt0papaTTKtk7MZ3pbs3SkYHM1JrtY5NZMjyQqe5MSv95O62S6ZmamVoz1Glncrr3GFPdmUzP1NRaMzLQzmR3JpPTMxlotzI5PZMlIwNplWR8aiaddsnk9EwGO61MTM9ksN173CRp9cfW6i+XqW4vOvdOdDM5PZN9U93eMksy2GmlpGRiupuFg525ZdCdqZnqL7td+6bSbpW0WyWLhjoZnZieG1/Su2y33SoZ7LTm7jc7lnZ/Wc4ur3Z/+sR0N51WbznOzNRMzcxkfHImQwOtTEz1/ju7XLPfmFol6bRb2TsxnUVDnbnnqzWZ7M5kYrqbZSODSZJSkvGpboYH2mn1l0NvHelmaKC3vIY67eyb6s49x+xj7pvqptMqGWy3UpO0SjIxPZOZWjM9UzPUac297pn+dcuT0zOp6S3XVilz68m+qW5GBtrZOz6dhUPtTM/UjE91MzLYzr7J3vj2H+eufVMZGmhlZqbOLbPZeQbarYxOTmeg1crCoU7Gp7sZ7K/vs2MpeXpZT3ZnUvq3TfTXs0VDT2+iMzM1o5PTc+tBkkx1e+tcd6ZmsNPK2GTv5z1Tk+mZp9fHdqu3zs+uB51WK6MT01kyMpDJ/rKa/TlMTddnvPZOuzX3mme3h9LfPsemuul2n96uFwy259b1fVPdjE/11tWBdu/5Wq3edjX7eAPtVmZqb/ua6vaW4YLB9tz99k1157a92dc40V+OE7PbW3cmIwPtTHVn5pb7dLemW2t/WSWddkmtT++LRgbac/uMBYOdufvWmrnX0m6V1P642qVkotvt7Stmkm7tLYP916Gxyen+fZKBTiv7JrtZMNhOkgwP9JbLeH97bvfX59l1Ynb/N9BupdMuGZ+ayYLBdn876q8rJdk32Z3bfmfX49nnnF3nVy4czEztbbcztfeLrEXDnYxPddOdqem0W2mV3r5gsNPK2EQ3i4Y72TY6kcH99pfDA+3sHp9Kq/9zTZKJqd7PdnigPbc9d2tNnUlGBtuZ3QWUJKMT3Swe7mT72GRv/m5Nq/X059Zn1/XZn327VTIx1U2rv38f6q9D7VLSbpcMd9qZnpnJ3onpLBjsZN9kb7sc7vT2MbPbzex+YXYft2+y2982uhloP72PGh7obdO1vy+Z7Pb2zePTveec3b5mt/3J7kyWDA9ksjuTdinptEtKSnaPT2XBYHtuH9idqb193PRMWq3evnD2sYcH2nPHu3YpGRl8ehl3+st9sNPbZmf3E7PHuL0T0xnqtOaOP5PTM1m+YDAztXddzOR075jUafWW30C7ZGy/n8GykcFMTHcz1OmNdXyqd4xZMNTO2EQ3yxYMZHSyO3d82j0+lcXDA3PHgZn+cXC6v7+aPXaPTU6nO1OzeHhgbtvvztRMTHfnlsdM7W3bI4PtTHd769bsdj8+OZN2u/c699+3zm7XrZLM1GSm9o4Hs+OZnO79HJYuGJg7Tu2b7B0fBjut/fZT/eNGzdx6niRL+q9tdp/R7e9fl40MZqBd5o7Hs8es4YF2RienM9zfFw0P9PY9rVIy3a2p6e3PS0n/tc2en9S5bXxiaiYT3d6+bao7M/ezLv2f/+z+ZHab7m0bM3OvqVV602tqOq1WSknGJroZHuztbwb669jkdO/4WlKyZKSTqW7N+HQ3A61WanpjK0mmuzVLRjrZPT7dW/f7+6dOf3mM9H9Os8eO4U47eyamM9Du7b9aJdk9Pj13DtFp97bBOtNb1nvHpzPR7fa39/KM48rSkYG5Y9/45ExqagbarbljxewxpNXf1hYOdrJ3YjrDA63sGZ+eOz/sLb/+mLs1i4c72Ts5nZLMPV67VTI68fT5Zu8cb3b7amXP+FQW9o+1M7W3/c6uF4Od1tyxunfs7P2321+nZ4/VI/3l3q11bv86u0+YXTemujNz522z6/ZYf52dPRYOtFuptfe4g/1z0H1T3bl1Yvf4VAZarQx0Wlk01Mmusd45yOz5xuy+ZPZ1TE73zg3b/W26d9yd3S77++rJ6bmfR63JgsHeNjM1XdNul3S7vW139ueS/n0GWr3lM93tbcuz5zlLhgdSa83u8elMTPd+1rPbQKfV27ZqrXPn4IP9c4KhgXam+/vcmZneej67L+idN8w8Y//WafXOeRYPP70PqLW3TBcOtdMuJePTM+l2a4YHW3Pb6uy53lD/2LF4uLeNTPWPoQuHOnPnoAuHesfO6W7v3LfTamXx8NPnZZPTvX3E7PFh9jg03GlldLJ3jtGdqVk03MmufVMZbLeyYLDT2z775w1LhvvLPsl09+k3nmb3hfsme9v47Ho5e44/1Glnz/hUOu3eclgw+PS4WqV37Jl9jiRZOjKQsYluFgy1Mz41kyX9Tprq9rfx/jFk9ng/u6309pMzc9NHJ6ezcLDT27d1Wr1jdKt3PrxnfDqH8qJE551P7M5nbno0P/OpW5Mkv/Oj5+cnPnnjC/LYrzxuWW55ZOezpi9bMJCdY1PzeozjVy7IQ9vG5v2cqxYNZeveiXnPfyi/9Z7z8tN/dHM6rZJffMeZWTrS23hufWRnTv2Fv3pBnuO5/P4HX50P/v71c/9+/SmrcurRi/Pf/ubBDA/0Nu5r/9n35pp7tuSff+ZbSZK//Mevy9t+82++ref5ubecmv/w1/e8oGM/mNlx/59u4WA7o5Pdw88IvKQWD3WyZ+LQB+lDWb14KFv2vDDHooP54x+7KBeftDIn/ovPz007YdXCvGvjukxMzeQ3vnhvkuTE1QvzwJbRb/t4Ol8bj1+eGx7a8YI/7vM1G8PzMdAumer6yMzLwTFLhvPk7vGXehhJkiXDvV8YHGn+098/N//Pn976Ug+Dl0CpL8I31gytOaUe/w9/c+5dFg7uuymc9v+NexNWLBzM9tHJxh5/Pr6dE4fnsmrRYLbuPfhr+P/ecWZ+6S/ueP5PcBivP2VVvnrv1sYe/3DevXFdFg8P5It3PpVNz3Gi+YHXbMjHv7YpSfJD56/Lp298NEnm3jH9bvTmM46e9/8nd9mCgZx33LJ86e4tz7rtfRcfn098/aGD3vfsY5fkgS2jc7/pnn339VAG++/sHujc45blohNX5GNfeWBe434ubz7jqHzhzs3PmHbBhhX55qbtz/sxn48f/54T517Hey5cn/Gpbj5z02NJktOPWZx3nnds7nlqz9y0/S0e7hz2N637+8Hzjs1nbn76cTasXJATVi3MnvHpPL5zX5aMDOSxHftyyelH5dSjFuU/XvXMX6CtX7EgrztlVb5+/7Y8uHX0GbddetYxGei0MjLQyilHLc7Vd23O1x/Y9ox5Xr1heYY67fzNfS/dNjwf3+5y/W40G35rlw7nRy5Yn49d80D2HhD8+697B3r7K9bkc3/7xNy/LzxhRboz9Vkh/JYzj86ufVPZPjqZezfvzQUbVmTJSCdJyWCn927VX9325Nz8f+eVa3PTwzuyaGggqxYN5pHtY3lo+1hqTc5bvywnrFqYyemZfP5bTzzjWLV68VDGJ7u5+KSV+fr923LaMYtzw0M7ctLqhdm0bSzfc+rqDLZbufL23nO98rhlWb14KLc/titP7h7PmqUjecW6pVk6MpA/uf6RJMm7zl+XiemZuXfnr7rj6f3gsctGsmiok6f2jD/jF/rrVyzIuuUjme7WDA30rii4cb9l8q/feXaS5NEd+/I7X7k/x69ckMvOXZvfv3bTs5b/gd51/rp0a33Obf20oxfn0R1jec3Jq1Jrfda+69SjF+Wep/Ye8vGPZMMDrbx6w4pDHv+/78yjMz7VfdY8a5cO57RjFufWR3flgg0rcszS4fz5rY9n++hkzlq7JLc/vvs5H+99Fx+fTdvGUtLbF49OTmd0opsHt45mxcLBbNkzkSd27TvkOdHBvOPctfmLWx9/xrSDBf6xy0by2M59B32s41aM5JHtB7/9UN72ijW56aEdeWLXM5/3TacfldefsiofPcj53FvPOjr/+/ZDnze87RVr8pf77UOS5CcvOSm//eX7nzHtUL9g+3bOT2b900tPz3R3Jpu2jaVVkj/rn4clyetOXpV1y0eyZ2I6Cwba+eytjz/jvP/AN/BOOWpR3nzm0dm0dTTX3rf1OX/p8dCvvf3GWuvG5xrLixKdp551bn3vr/5Rbn9sdyamuzlv/fJcv2l7BvqXc5xy9OLsm+zmh85fl5sf3pFjl4+k3Sp5eNtY7t+yN3c+sSdvOHV1zlizOEly1R1P5boHtmV6puZHLlifmx7akfUrFuTRHfuyYdWCHLV4uHeJy0zNw9vH8uDW0Zx97NKsWtT7rfDnb3si61csyD+99PTc9eSejE5M55sPbs//9aZTcvnV9+YnLzk5pxy9KB/+xA0ZGWznrif25FXrl2fr6ETWr1iQNUuH89Tuibm3xW99dGfOXrs0bzh1db509+Ycv2JBrntge45ZOpz7t+zNm884OktHBvIbX7w3rzt5VU5avTBbRyfzpbs2561nHZN7N+/JcKed5QsHs275SJYv6F0GdfeTezM00MrqRUO55p4tOXNt7yS11eq9Tb54aCD3bN6TBYPtXHbu2nz6xkfzM993WrbsGc9f3/FUVi8aymnHLM4X79ycY5YO5+4n92TP+FQWDXfy2pNX5RsPbM/u8amcuHpRjl48lHar5K4n9+S89cvy1Xu35vWnrEqS3PH47oxNdnP+8cvz8a9tygdesyGXnn1MvnLPluyb7ObWR3fm3HXL5jaEc49bljuf2J2xiW6+/5xj8uDW0Xy5f1L+5jOOynnrl2fxcCev3rAiP/nJG7Np21g6rZL3Xrg+Nzy0I7X2Lgv4xD+6IE/uGs/Hv7YpZx+7NL/8uTvy2pNX5ntPPzqPbB/LZ295LKcevThP7BrPQLvkpNWL8uDW0Ty+c1+OW7EgRy0ZzlvOPDp/cv3DGZvsZu/4dN553rHZumcitz2+Kz9ywfp84DUb8snrHsoxS0fyu9c8kMlu7/K8f3Lpafm5P7s1S0cG8qYzejvu045enLHJbu7fsjfvOHdtrr1va9538Yb8wXUP5cRVC9Npl6xZOpJvPbZz7hLPd553bB7aNppP3/hojluxIP/9a5uyZc9ENu+ZyMUnrszwQO9Si6OWDOXEVQsz2a05avFQdu2byvWbtmfv+HRufmRnLjt3bR7ZPpb7tuzN95y6OguHOnndyavy2pNXZcfoZH73qw9k9eKhvPG0o/LJ6x7K1Xdv7u2wd43n2OUj+ZEL1ufTNz6a87vrxEkAABaESURBVI9fni17JjLUaeW89cty8yM7s3RkINv2Tmag3cqxy0fyyPaxfPnuzbn4xJU5YdXCXHPv1lx84sqMTk7nPReuzye+9lCOWjKUf3DR8XOXStZa89+/timXvfLYjE918++uvCvv2nhcXnvyqtz++K5s2jqWt71iTb7xwLaMT8/kvPXLcsVXHsjNj+zIpWevydKRgZx29OLc+ujOXHjCivzOV3onhOevX5a/uu3JnH3s0qxePJRf/au78v+948x85qbHcvFJK+cugfnE1x/KG05dnUtOXZ3LXrk2D20by51P7M5Au+T841fkW4/tzHX3b0+rlSxfMJj7Nu/N9EzNI9vHUkqybMFgzj9+eS47d23OWLMkf3r9w9kxNpVvPborb3vFmhy/ckGWLRjMv7vyrmzcsCJP7NyX09csyWXnrk2SfOOBbZnszuRV65fnj7/5cD7wmg3p9C/l+sNvPJQHt4zmohNXZtO20ZRS8nfPOzYrFvYuLR+bnM4fXvdw3v+aDbn6rqeybvmCjE12s3NsMlfftTknrFqYvRPT+dGLjs+KhYP55c/dkZLknHXLctbaJblvc299TJIv3705v3ftprzxtNW56MSV+dzfPp7Vi4YyNNDO6kVDufiklfnYNQ/kuvu35fQ1i3PbY7vy/WevyY6xyfzUG0/OIzvGcv2mHZnoX2r8wxccl+se2J5f/twdWbVoML/zD87PV+/ZmpHB9tw+4Yt3PpVOq+Tz33oyGzcszzce7K2365aPZGSwnZ/4npPyzQe355x1S3PXE7vnTmjfd/GG/N61D+aUo3onj9Pdmh+96PiMDLbzxTufyspFQ3nlccuSJF+9d0se3Dqa9128Ye64ctPDO/KFO57KmmUjSf9ytA+8ZkN2jE3lytueyI6xqeyb6uan3nhyfvwPbsjPfN9pabdKto9OZLDdzv1b9ub9r9mQL9zxVJ7YtS9HLRnOW8865rDHsz/55sN5/amrc+yykWdM/7Ur78p0dyZHLR7OB1/79M9/Vq01H//aplx91+a849y1effG4+am//ZX7s+O0cmsW74gv/KXd+aHLzgu19yzJdv2TmZooJV3nLs2r96wInc/uSf3PLUnJ6xamNWLh/Lw9rG59X/VoqF85JKT0irJ9Zt2ZP3KBRnutPO7X30gv/7uc/OZmx7Lw9vHsnrxUB7buS8nrlqYDasW5sGtozl22Ug+/rVNOXbZSLozNU/uHs/7Lz4+f3Pf1rzh1NVJkruf3JPbHtuVH3zVunRnah7d0fsl01CnnW7txdw3N+3IyoWDOWn1wmzeM5HvPf2oLB7u5JPXPZzjVoxkyfBA3rVxXb5895Y8vH0sI4Pt/KPXnZCv3L0l12/ann9y6en5zE2Pzn2s5p6n9uar927JgsFOXnPSytyzeW/WLR/JUYuHcurRi3PXk3vy+W89kfs27827N67LqUcvzmWvXJvP3vx4hgfbef3Jq/LgttEsGe7k3HXL8l++fH/edMZROWvt0tRa84ffeDgbNyzPL3729vzi28/M2ccuzdfu25rRyW42bR3NB167Ibc/vjtb9kzk+848Ol+6a3Me37Uv773w+Lmf6/+6+bGctXZJnto9kYF2yYUnrjzk+tOdqfn9ax/MhpULM9hpzS3fpjyxa1++eOfmvPfC9Qf9X7Ldv2Vvbnl4Z/7e+eueddufXv9wXnvyqqxbvuAZ0z91wyO56ISVWb9ywbPuMzY5nR/7xA35qTeenNectOqQ4/vzWx/P7n1TOX7lgvzto7vy61fdkw+9/oS8/Zy1OWfd0iS9c77fveaB/Pt3vSJX37U5l527NisXDT3jca6646msWDiYmx/ekXdtPC5LRwbym1+8N5+95bHcv2U0P//W03LtfVvzQ+evy+jEdJYvHMy1923NfZv35qy1S3P9pu256MSV2TE6mZOOWpQPvf6E/Lsr785Tu8czNtnNyoWDWTjUyf1b9mbhYCcXnrgiNz+8M6/esDzX3Ls1g51W3nPB+py1dkl+6S/uyFvOPDp/esMjGZvo5hffcWbu27w37zzv2Ex3Z/KP/+TmTEzNZN3ykQz1P6qweLjTuxR8cjrtVis3PNQbz5Y9E9k2OpmJqW5+8FXrcsaaxblh0465n9Wtj+zMtx7blf9182P5qTeenB1jk9k7MZ1LzzomRy0ZTpJ86e7N+fi1m/Iz33dqvnz3lvzUG0961v5pfzc+tD27903n4pNW5g++/lAG2iU/cM6aucc7nCtvezI//Uc35ZMfujALBtv5lb+8M1v2TOSBraM5Y82SnLlmSf7HTY/mxNULc+lZx+SCE1bkktOOyn2b9+T2x3dnqNPO2mXDecW6ZfnMTY9m51jvsuDz1i/Lpq2j+f5z1uRr92/Nx6/dlHs3782KhYM559ilua+/f/i3P3hOfverD+Sr927Nz7/1tHz+W0/mpod25KITV2ThUCenHL0oxy1fkDue2J3XnbwqV1zzQLbsncjpxyzOh99w0tz6dNPDO7Lx+OV5fNd4frS//cy+ttmPOfzC287MoqFO3rVxXa645oH86pV35ZXHLctUdybrVyzIz7/19Nzx+O587m8fz+U/cl6uvP3J7Oi/2TI00M67Nx6Xv779yaxePJQbH9qRd7/6uCwZHsj9W/bmtsd2ZXignc27x/M3923N33vVurzlrGPyhTueyp/d+EguOnFlWqVk2YKBnLR6Ub52/9a85qRVuX/L3mzZM5GdY1P5sTecOHcF5TN/xjuya99kvvf0o58xffOe8Vx525N542lH5esPbMu7zl+XP7juoWesT/v7k28+nH/z+TuzYLCTj152VvaMT+Xdr17/0kbnxo0b6w033ND48wAAAPDiK6UcNDp9ey0AAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGNEJwAAAI0RnQAAADRGdAIAANAY0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGNEJwAAAI0RnQAAADRGdAIAANAY0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjZlXdJZSzimlXF1KuaWU8qH+tB8tpUw0OzwAAACOZJ3DzVBKGUjyqSTvqbXe3J/2D5JclmRzs8MDAADgSDafdzovSXLjbHD2fT7JDyfpNjEoAAAAXh7mE51nJ+mWUq4ppVxfSnlDrXVbrVVwAgAAcEiHvbw2yaIka5K8JckJST6T5IzD3amU8uEkH06S9evXfwdDBAAA4Eg1n3c6dya5qtY6Xmu9M8nSUkr7cHeqtV5Ra91Ya924evXq73igAAAAHHnmE51XJnl7KaVTSjkpyXaX1gIAADAfh728ttZ6bynl00luTu+Lgz7S+KgAAAB4WZjPZzpTa708yeXPMX3DCz0gAAAAXj7mc3ktAAAAPC+iEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxswrOksp55RSri6l3FJK+VAp5cRSyo2llPtKKf+y6UECAABwZOocboZSykCSTyV5T6315v6030vyK0k+m+RrpZT/WWu9o9GRAgAAcMSZzzudlyS5cTY4+74nyedrrd0kn+v/GwAAAJ5hPtF5dpJuKeWaUsr1pZQ3JFlYax3v3745yTEH3qmU8uFSyg2llBu2bNnyAg4ZAACAI8V8onNRkjVJ3pLkfUk+lqQeME858E611itqrRtrrRtXr179HQ8UAACAI898onNnkqtqreO11juTLE2yt5Qy3L/9qPTe7QQAAIBnmE90Xpnk7aWUTinlpCTbk/x1kreVUtpJ3pHkCw2OEQAAgCPUYb+9ttZ6bynl00luTtJN8pEkdyb5iyT/Psnv1VrvanSUAAAAHJEOG51JUmu9PMnlB0y+6IUfDgAAAC8n87m8FgAAAJ4X0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGNEJwAAAI0RnQAAADRGdAIAANAY0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGNEJwAAAI0RnQAAADRGdAIAANAY0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGNEJwAAAI0RnQAAADRGdAIAANAY0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGNEJwAAAI0RnQAAADRGdAIAANAY0QkAAEBjRCcAAACNEZ0AAAA0RnQCAADQGNEJAABAY0QnAAAAjRGdAAAANEZ0AgAA0BjRCQAAQGMOG52llIFSymgp5Zb+n79bSrmw//dbSyk//WIMFAAAgCNPZx7zrEzyjVrr985OKKVcn+T9SW5P8oVSyl/VWu9vaIwAAAAcoeZzee2KJFsPmHZ8rfXWWut0kr9IcukLPjIAAACOePOJzsEkry+l/G0p5cpSyolJNpdSzi+lDCZ5U5LlB96plPLhUsoNpZQbtmzZ8gIPGwAAgCPBYaOz1npLkrW11lck+eMkv5Xkx5P8dpIvJdmeZPQ57ndFrXVjrXXj6tWrX9hRAwAAcESY17fX1lpr/6+fSnJmrfXaWusFtdbXJmknua2pAQIAAHDkms+3164upbT7/3xzklv2u+3CJOcl+XIjowMAAOCINp9vrz03yW+UUiaS7EjyY6WU9yb5uSS7k/xwrXWqwTECAABwhDpsdNZav5DkrAMmP5DkDxsZEQAAAC8b8/pMJwAAADwfohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGiEwAAgMaITgAAABojOgEAAGiM6AQAAKAxohMAAIDGiE4AAAAaIzoBAABojOgEAACgMaITAACAxohOAAAAGiM6AQAAaIzoBAAAoDGHjc5SykApZfT/b+9+QvS6yjiOf3/mD0LtwpgpTRArsYh/IJUaSoVGUQqWSpFWXBQRcdEuRN0U3IgQF4Kgm5YQpaJdpFAt3bWkLRaFdKGxUcdYxZRWXJnaFFoI1ZRWHhfvHTqd3qHvyJzJ3PN+P3DIvCdncm/mxzPJM/fc+yZZHsatST6e5Kkkf05ydCtOVJIkSZI0PTvnWPMe4FRVfWZlIskJ4K6qOpnk10muq6rfNTtLSZIkSdIkzbO9dg/w4pq5C8C7krwDuAx4ebNPTJIkSZI0ffM0nbuBw0nOJHksyQHgW8APgd8Cx6vqmbWflOTOJKeTnD5//vzmnrUkSZIkaRLetumsqmVgf1UdBB4AjgJfAJaB48DtSS4f+bx7q+pQVR1aWlra5NOWJEmSJE3BPPd0UlU1fPgg8F3gY8CBqrqYZB/wZeBYm1OUJEmSJE3VPE+vXUqyY3h5I7MrnK8xe8AQwJXM7vGUJEmSJOlN5rnSeQ1wd5JXgZeAO4CPAieGBwmdAX7e7hQlSZIkSVP1tk1nVT3BrMlc7e/Aw03OSJIkSZLUjbxxu2bDgyQXgLPND6RLaS9vfWsd9cN8+2fGfTPf/plx38y3fz1kfFVVjT5Bdq4HCW2Cs1V1aIuOpUsgyWkz7pf59s+M+2a+/TPjvplv/3rPeJ736ZQkSZIk6f9i0ylJkiRJamarms57t+g4unTMuG/m2z8z7pv59s+M+2a+/es64y15kJAkSZIkaTG5vVaSJEmS1EzzpjPJd5I8m+SpJO9vfTy1kWRXkleSLA/j1iQHkvx+yPfbq9aa+YQk2ZPkySRHhtdz57reWm0vIxl/L8lzQy0/vmqdGU9MkvcmOZHkr0lOJtlvDfdjnXyt344kuSHJqSRnkvwmyYes4X6sk+9i1nBVNRvAVcAfgB3ALcAvWh7P0TTLK4FfrZn7GXDbkO8p4CNmPq0B7Bqy+ylwZKO5jq291H8nx1wZ/xj45Jp1ZjzBASytZAl8A/iBNdzPWCdf67ejAewD9g4ffxX4iTXcz1gn34Ws4dZXOj8NPFpV/wUeBT7R+HhqZw9vfcPaTwEnhnwfGV6b+YRU1WvMvrk9uWp6I7mOrdU2sk7GY/VsxhNUVeer6uTw8h/Au7GGu7FOvtZvR6rqXFW9mCTAh4G/YA13Y518F7KGWzedVzB8UavqdWBHkh2Nj6k2dgOHh+0BjyU5AFxWVReH33+B2dVQM5+YqnphzdRGch1bq21mJONdwP1Jnk5y1zBnxtP3ReBxrOFereRr/XYmyTeBfwIHgR9hDXdlJN+FrOHWTefaR+Om8fHUSFUtA/ur6iDwAHCU8XzNfPo2kqt5T9NtVXUtcAPwpSTXYcaTluRm4H3AQ1jD3VmTr/Xbmaq6B9jP7IcKx7CGuzKS70LWcOum8xywFyDJTqCGy8OaoBo2lwMPMru/4EKSdw5zVzD7CYyZT99Gch1bq21upZar6mXgl8zq2YwnKsnVwPeB24dsreGOrM3X+u3TkOv9wPVYw91Zne+i1nDrpvMJ4Kbh8vDNvPmeIk1IkqVV22RvBJaZFcrnhvlbmOVt5tO3kVzH1mqbS7Jv+HU3cBj4E2Y8SUkuZ7b75CtVdW6YtoY7MZav9duXJB9MsvL/8c8CT2MNd2Ms30Wt4Z0t//Cqej7JfcBZ4BVmXyxN0zXA3UleBV4C7gAuAA8zPC2xqv4GYOaTd4T5cx1dq23vWJIPMNu2c7yq/ghmPFFfB64G7ps9p4J/A5/HGu7FWL7/sn67chPwtST/AZ4H7gQuYg33Yizfhfw3OG/smJQkSZIkaXO13l4rSZIkSVpgNp2SJEmSpGZsOiVJkiRJzdh0SpIkSZKasemUJEmSJDVj0ylJkiRJasamU5IkSZLUjE2nJEmSJKkZm05JkiRJUjP/A3a8CoB8KJgBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(hs300_df['open_ret']- hs300_df['open_ret_demean']).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "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": 206,
   "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": 207,
   "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",
       "3697    4163.64960\n",
       "3698    4180.44724\n",
       "3699    4234.74384\n",
       "3700    4258.83112\n",
       "3701    4261.55322\n",
       "3702    4243.28772\n",
       "3703    4221.23180\n",
       "3704    4197.00162\n",
       "Length: 3705, dtype: float64"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ta.SMA(hs300_df['closeIndex'], 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "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",
       "3697    4163.64960\n",
       "3698    4180.44724\n",
       "3699    4234.74384\n",
       "3700    4258.83112\n",
       "3701    4261.55322\n",
       "3702    4243.28772\n",
       "3703    4221.23180\n",
       "3704    4197.00162\n",
       "Name: closeIndex, Length: 3705, dtype: float64"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_df['closeIndex'].rolling(5).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "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": 210,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bb08b550>"
      ]
     },
     "execution_count": 210,
     "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": 212,
   "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": 213,
   "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>0.025715</td>\n",
       "      <td>0.011332</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>0.030679</td>\n",
       "      <td>0.031319</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>0.002702</td>\n",
       "      <td>0.032252</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>0.011222</td>\n",
       "      <td>-0.005336</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>-0.092737</td>\n",
       "      <td>0.014025</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>0.035098</td>\n",
       "      <td>-0.112358</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>-0.028251</td>\n",
       "      <td>0.056340</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>0.013890</td>\n",
       "      <td>-0.032353</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>3697</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>4218.4736</td>\n",
       "      <td>4283.3679</td>\n",
       "      <td>4194.9402</td>\n",
       "      <td>4265.9017</td>\n",
       "      <td>14945830500</td>\n",
       "      <td>2.757913e+11</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>-0.004530</td>\n",
       "      <td>0.006319</td>\n",
       "      <td>-0.004890</td>\n",
       "      <td>4473.691060</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3698</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>4280.1397</td>\n",
       "      <td>4287.8166</td>\n",
       "      <td>4223.0240</td>\n",
       "      <td>4258.7459</td>\n",
       "      <td>12703636000</td>\n",
       "      <td>2.512145e+11</td>\n",
       "      <td>-0.001677</td>\n",
       "      <td>0.014618</td>\n",
       "      <td>-0.002014</td>\n",
       "      <td>0.014258</td>\n",
       "      <td>4461.179593</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3699</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>4252.5658</td>\n",
       "      <td>4283.3344</td>\n",
       "      <td>4236.6888</td>\n",
       "      <td>4255.2950</td>\n",
       "      <td>12638247000</td>\n",
       "      <td>2.262135e+11</td>\n",
       "      <td>-0.000810</td>\n",
       "      <td>-0.006442</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.006802</td>\n",
       "      <td>4449.396997</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3700</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>4269.6088</td>\n",
       "      <td>4287.5771</td>\n",
       "      <td>4241.9570</td>\n",
       "      <td>4276.5174</td>\n",
       "      <td>11708907800</td>\n",
       "      <td>2.263908e+11</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>0.004008</td>\n",
       "      <td>0.004650</td>\n",
       "      <td>0.003648</td>\n",
       "      <td>4436.878880</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3701</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>4249.5328</td>\n",
       "      <td>4273.9568</td>\n",
       "      <td>4216.8506</td>\n",
       "      <td>4251.3061</td>\n",
       "      <td>10891827200</td>\n",
       "      <td>2.195944e+11</td>\n",
       "      <td>-0.005895</td>\n",
       "      <td>-0.004702</td>\n",
       "      <td>-0.006232</td>\n",
       "      <td>-0.005062</td>\n",
       "      <td>4423.927000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3702</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-25</td>\n",
       "      <td>4249.0731</td>\n",
       "      <td>4254.8449</td>\n",
       "      <td>4173.9300</td>\n",
       "      <td>4174.5742</td>\n",
       "      <td>10880804600</td>\n",
       "      <td>2.170132e+11</td>\n",
       "      <td>-0.018049</td>\n",
       "      <td>-0.000108</td>\n",
       "      <td>-0.018386</td>\n",
       "      <td>-0.000468</td>\n",
       "      <td>4409.699630</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3703</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-28</td>\n",
       "      <td>4128.8379</td>\n",
       "      <td>4174.1206</td>\n",
       "      <td>4091.2978</td>\n",
       "      <td>4148.4663</td>\n",
       "      <td>11844902100</td>\n",
       "      <td>2.134690e+11</td>\n",
       "      <td>-0.006254</td>\n",
       "      <td>-0.028297</td>\n",
       "      <td>-0.006591</td>\n",
       "      <td>-0.028657</td>\n",
       "      <td>4396.258913</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3704</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-29</td>\n",
       "      <td>4155.4182</td>\n",
       "      <td>4177.2134</td>\n",
       "      <td>4124.7179</td>\n",
       "      <td>4134.1441</td>\n",
       "      <td>10026697200</td>\n",
       "      <td>1.994639e+11</td>\n",
       "      <td>-0.003452</td>\n",
       "      <td>0.006438</td>\n",
       "      <td>-0.003789</td>\n",
       "      <td>0.006078</td>\n",
       "      <td>4380.726967</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3676 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",
       "3697  000300.ZICN        沪深300  2022-03-18  4218.4736     4283.3679   \n",
       "3698  000300.ZICN        沪深300  2022-03-21  4280.1397     4287.8166   \n",
       "3699  000300.ZICN        沪深300  2022-03-22  4252.5658     4283.3344   \n",
       "3700  000300.ZICN        沪深300  2022-03-23  4269.6088     4287.5771   \n",
       "3701  000300.ZICN        沪深300  2022-03-24  4249.5328     4273.9568   \n",
       "3702  000300.ZICN        沪深300  2022-03-25  4249.0731     4254.8449   \n",
       "3703  000300.ZICN        沪深300  2022-03-28  4128.8379     4174.1206   \n",
       "3704  000300.ZICN        沪深300  2022-03-29  4155.4182     4177.2134   \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",
       "3697    4194.9402   4265.9017  14945830500   2.757913e+11   0.006656   \n",
       "3698    4223.0240   4258.7459  12703636000   2.512145e+11  -0.001677   \n",
       "3699    4236.6888   4255.2950  12638247000   2.262135e+11  -0.000810   \n",
       "3700    4241.9570   4276.5174  11708907800   2.263908e+11   0.004987   \n",
       "3701    4216.8506   4251.3061  10891827200   2.195944e+11  -0.005895   \n",
       "3702    4173.9300   4174.5742  10880804600   2.170132e+11  -0.018049   \n",
       "3703    4091.2978   4148.4663  11844902100   2.134690e+11  -0.006254   \n",
       "3704    4124.7179   4134.1441  10026697200   1.994639e+11  -0.003452   \n",
       "\n",
       "      open_ret  close_ret_demean  open_ret_demean         MA30  signal  \n",
       "29    0.011692          0.025715         0.011332  2362.236000     1.0  \n",
       "30    0.031679          0.030679         0.031319  2382.287333     1.0  \n",
       "31    0.032612          0.002702         0.032252  2402.416000     1.0  \n",
       "32   -0.004976          0.011222        -0.005336  2421.620000     1.0  \n",
       "33    0.014385         -0.092737         0.014025  2430.200000     1.0  \n",
       "34   -0.111998          0.035098        -0.112358  2439.820000     1.0  \n",
       "35    0.056700         -0.028251         0.056340  2447.883667     1.0  \n",
       "36   -0.031993          0.013890        -0.032353  2459.049667     1.0  \n",
       "...        ...               ...              ...          ...     ...  \n",
       "3697 -0.004530          0.006319        -0.004890  4473.691060     0.0  \n",
       "3698  0.014618         -0.002014         0.014258  4461.179593     0.0  \n",
       "3699 -0.006442         -0.001147        -0.006802  4449.396997     0.0  \n",
       "3700  0.004008          0.004650         0.003648  4436.878880     0.0  \n",
       "3701 -0.004702         -0.006232        -0.005062  4423.927000     0.0  \n",
       "3702 -0.000108         -0.018386        -0.000468  4409.699630     0.0  \n",
       "3703 -0.028297         -0.006591        -0.028657  4396.258913     0.0  \n",
       "3704  0.006438         -0.003789         0.006078  4380.726967     0.0  \n",
       "\n",
       "[3676 rows x 15 columns]"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MA_df[~MA_df['signal'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df['position_close'] = MA_df['signal']\n",
    "MA_df['position_open'] = MA_df['signal'].shift()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "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": 216,
   "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": 217,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan,  1.,  0.])"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MA_df['signal'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>-0.077236</td>\n",
       "      <td>-0.037834</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>-0.104950</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>-0.043245</td>\n",
       "      <td>-0.032878</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>-0.064799</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>-0.045371</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>-0.066983</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>3697</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>4218.4736</td>\n",
       "      <td>4283.3679</td>\n",
       "      <td>4194.9402</td>\n",
       "      <td>4265.9017</td>\n",
       "      <td>14945830500</td>\n",
       "      <td>2.757913e+11</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>...</td>\n",
       "      <td>4473.691060</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3698</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>4280.1397</td>\n",
       "      <td>4287.8166</td>\n",
       "      <td>4223.0240</td>\n",
       "      <td>4258.7459</td>\n",
       "      <td>12703636000</td>\n",
       "      <td>2.512145e+11</td>\n",
       "      <td>-0.001677</td>\n",
       "      <td>...</td>\n",
       "      <td>4461.179593</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3699</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>4252.5658</td>\n",
       "      <td>4283.3344</td>\n",
       "      <td>4236.6888</td>\n",
       "      <td>4255.2950</td>\n",
       "      <td>12638247000</td>\n",
       "      <td>2.262135e+11</td>\n",
       "      <td>-0.000810</td>\n",
       "      <td>...</td>\n",
       "      <td>4449.396997</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3700</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>4269.6088</td>\n",
       "      <td>4287.5771</td>\n",
       "      <td>4241.9570</td>\n",
       "      <td>4276.5174</td>\n",
       "      <td>11708907800</td>\n",
       "      <td>2.263908e+11</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>...</td>\n",
       "      <td>4436.878880</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3701</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>4249.5328</td>\n",
       "      <td>4273.9568</td>\n",
       "      <td>4216.8506</td>\n",
       "      <td>4251.3061</td>\n",
       "      <td>10891827200</td>\n",
       "      <td>2.195944e+11</td>\n",
       "      <td>-0.005895</td>\n",
       "      <td>...</td>\n",
       "      <td>4423.927000</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3702</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-25</td>\n",
       "      <td>4249.0731</td>\n",
       "      <td>4254.8449</td>\n",
       "      <td>4173.9300</td>\n",
       "      <td>4174.5742</td>\n",
       "      <td>10880804600</td>\n",
       "      <td>2.170132e+11</td>\n",
       "      <td>-0.018049</td>\n",
       "      <td>...</td>\n",
       "      <td>4409.699630</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3703</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-28</td>\n",
       "      <td>4128.8379</td>\n",
       "      <td>4174.1206</td>\n",
       "      <td>4091.2978</td>\n",
       "      <td>4148.4663</td>\n",
       "      <td>11844902100</td>\n",
       "      <td>2.134690e+11</td>\n",
       "      <td>-0.006254</td>\n",
       "      <td>...</td>\n",
       "      <td>4396.258913</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3704</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-29</td>\n",
       "      <td>4155.4182</td>\n",
       "      <td>4177.2134</td>\n",
       "      <td>4124.7179</td>\n",
       "      <td>4134.1441</td>\n",
       "      <td>10026697200</td>\n",
       "      <td>1.994639e+11</td>\n",
       "      <td>-0.003452</td>\n",
       "      <td>...</td>\n",
       "      <td>4380.726967</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>3.870438</td>\n",
       "      <td>2.346068</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1695 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",
       "3697  000300.ZICN        沪深300  2022-03-18  4218.4736     4283.3679   \n",
       "3698  000300.ZICN        沪深300  2022-03-21  4280.1397     4287.8166   \n",
       "3699  000300.ZICN        沪深300  2022-03-22  4252.5658     4283.3344   \n",
       "3700  000300.ZICN        沪深300  2022-03-23  4269.6088     4287.5771   \n",
       "3701  000300.ZICN        沪深300  2022-03-24  4249.5328     4273.9568   \n",
       "3702  000300.ZICN        沪深300  2022-03-25  4249.0731     4254.8449   \n",
       "3703  000300.ZICN        沪深300  2022-03-28  4128.8379     4174.1206   \n",
       "3704  000300.ZICN        沪深300  2022-03-29  4155.4182     4177.2134   \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",
       "3697    4194.9402   4265.9017  14945830500   2.757913e+11   0.006656  ...   \n",
       "3698    4223.0240   4258.7459  12703636000   2.512145e+11  -0.001677  ...   \n",
       "3699    4236.6888   4255.2950  12638247000   2.262135e+11  -0.000810  ...   \n",
       "3700    4241.9570   4276.5174  11708907800   2.263908e+11   0.004987  ...   \n",
       "3701    4216.8506   4251.3061  10891827200   2.195944e+11  -0.005895  ...   \n",
       "3702    4173.9300   4174.5742  10880804600   2.170132e+11  -0.018049  ...   \n",
       "3703    4091.2978   4148.4663  11844902100   2.134690e+11  -0.006254  ...   \n",
       "3704    4124.7179   4134.1441  10026697200   1.994639e+11  -0.003452  ...   \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",
       "3697  4473.691060     0.0             0.0            0.0            0.000000   \n",
       "3698  4461.179593     0.0             0.0            0.0           -0.000000   \n",
       "3699  4449.396997     0.0             0.0            0.0           -0.000000   \n",
       "3700  4436.878880     0.0             0.0            0.0            0.000000   \n",
       "3701  4423.927000     0.0             0.0            0.0           -0.000000   \n",
       "3702  4409.699630     0.0             0.0            0.0           -0.000000   \n",
       "3703  4396.258913     0.0             0.0            0.0           -0.000000   \n",
       "3704  4380.726967     0.0             0.0            0.0           -0.000000   \n",
       "\n",
       "      position_open_ret  position_close_ret_demean  position_open_ret_demean  \\\n",
       "97            -0.037474                  -0.077236                 -0.037834   \n",
       "98            -0.104590                   0.000000                 -0.104950   \n",
       "99             0.000000                   0.000000                  0.000000   \n",
       "112           -0.032519                  -0.043245                 -0.032878   \n",
       "113           -0.064439                   0.000000                 -0.064799   \n",
       "115            0.000000                  -0.045371                  0.000000   \n",
       "116           -0.066623                  -0.000000                 -0.066983   \n",
       "117           -0.000000                  -0.000000                 -0.000000   \n",
       "...                 ...                        ...                       ...   \n",
       "3697          -0.000000                   0.000000                 -0.000000   \n",
       "3698           0.000000                  -0.000000                  0.000000   \n",
       "3699          -0.000000                  -0.000000                 -0.000000   \n",
       "3700           0.000000                   0.000000                  0.000000   \n",
       "3701          -0.000000                  -0.000000                 -0.000000   \n",
       "3702          -0.000000                  -0.000000                 -0.000000   \n",
       "3703          -0.000000                  -0.000000                 -0.000000   \n",
       "3704           0.000000                  -0.000000                  0.000000   \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",
       "3697           3.870438          2.346068  \n",
       "3698           3.870438          2.346068  \n",
       "3699           3.870438          2.346068  \n",
       "3700           3.870438          2.346068  \n",
       "3701           3.870438          2.346068  \n",
       "3702           3.870438          2.346068  \n",
       "3703           3.870438          2.346068  \n",
       "3704           3.870438          2.346068  \n",
       "\n",
       "[1695 rows x 23 columns]"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MA_df[MA_df['signal']==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
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   "outputs": [
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       "        indexID secShortName   tradeDate  openIndex  highestIndex  \\\n",
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       "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",
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       "    position_open_ret  position_close_ret_demean  position_open_ret_demean  \\\n",
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       "98          -0.104590                   0.000000                 -0.104950   \n",
       "99           0.000000                   0.000000                  0.000000   \n",
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       "    MA30_close_cumret  MA30_open_cumret  \n",
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       "99           1.356627          1.306550  \n",
       "\n",
       "[4 rows x 23 columns]"
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     "execution_count": 219,
     "metadata": {},
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  {
   "cell_type": "code",
   "execution_count": 220,
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   "cell_type": "code",
   "execution_count": 32,
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    {
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     "execution_count": 32,
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   "source": [
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  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {
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   "outputs": [
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       "      <th>103</th>\n",
       "      <td>2007-06-12</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>1.061492</td>\n",
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       "      <td>2007-06-13</td>\n",
       "      <td>4071.74</td>\n",
       "      <td>4118.27</td>\n",
       "      <td>0.020356</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.083099</td>\n",
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       "      <th>105</th>\n",
       "      <td>2007-06-14</td>\n",
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       "      <td>4075.82</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.031271</td>\n",
       "      <td>0.033551</td>\n",
       "      <td>0.030934</td>\n",
       "      <td>0.033191</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>0.005678</td>\n",
       "      <td>0.011325</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>-0.022768</td>\n",
       "      <td>0.009353</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>0.009207</td>\n",
       "      <td>-0.030336</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>-0.035086</td>\n",
       "      <td>0.014720</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>-0.043245</td>\n",
       "      <td>-0.032878</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>-0.064799</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                   0.009018                  0.000000           1.009355   \n",
       "102                   0.024153                  0.015864           1.034074   \n",
       "103                   0.026177                  0.019735           1.061492   \n",
       "104                   0.020019                  0.029428           1.083099   \n",
       "105                  -0.010645                  0.007445           1.071935   \n",
       "106                   0.005443                 -0.015081           1.078130   \n",
       "107                   0.030934                  0.033191           1.111845   \n",
       "108                   0.005678                  0.011325           1.118532   \n",
       "109                  -0.022768                  0.009353           1.093443   \n",
       "110                   0.009207                 -0.030336           1.103878   \n",
       "111                  -0.035086                  0.014720           1.065520   \n",
       "112                  -0.043245                 -0.032878           1.019800   \n",
       "113                   0.000000                 -0.064799           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": 222,
   "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": 223,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA30_ret_df.set_index('tradeDate',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bb148f10>"
      ]
     },
     "execution_count": 224,
     "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": 225,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bb274e50>"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EW+sIIo9+uSug57Vn7D0F8HPkuanMjInXrDfTzn6S+aZX+dT0H14zfsUN+mhyPCNh+oekhY0FYOH9Q3l6cheenNiFxydWrK16Q/82LLYPZVmXN1BT9nL8wykkHY+vl/NNztWWs1kcc6pejled2gSogUDmaWWjgKWqqtqAPxzbY4BljrJlwJAa6l40yhM/eJr0WsHR1dCqH3iH1PoYqt7IO2XX0l6XxiDbTlp4KhCzAFr3B89Acou14VJPLtxHmdXOI+ttFOIBx/+q9/MRQgghzkdxmWuA2q2FB/fqF9Nv84My8kcI0ezFJOWy+0QOhWYr766Mc5b/FZ/F1f/dhBErbxi/wF1ng2GP1HisR8Z3qlL24Y19WGEfwH1lj/Cu/zPk3LaOoaUf0N38FWv7f6IlXHLoHOrDvaM6oNMpPDCmI+seG82xN6bw5rW9cDfq2Os7miPD3ye45Bge30yA9EOAtuzl+6uP8NjPe1FPW97SbLW5juyspHKv6T8X7D37D+scGWpRxwSMUBQlBjgF3A94qapaniUhHWgJFOEIZFVVtSqKolcURX+Gui4URZkFzAIICQkhOjr63M+onu1M0wLUAzG7MR8pZljyLo63u57EOrTx44VrWG7rR4ohkNv1K8gxH4TCBGJazSS70nGiAnQsXR2NHR07bZ3of2A1271r/zoXi8LCwiZ1jUX9kuvb/Mk1bt7Odn0PHS1zPj58YD9hRSt42jgPUiHvyxns7jNbG2kkmiz5G27e5PpeWLcv17Lj3tzFxA+HKt4P41JyuU6/gVv0q+mtS+BI5N0kx55CC5/O7IvLPTmWZ+e1rVq4pEuPAxSW2wdSbDCwJzGPUwQD4JabSHT0iRqv8XHH/yZFJS7hBItDgllV9hLfmWZT+uVUdvd5k9WZfny5X2v7AM8sQr0q3rMfWFNEmKeO54ZUHRWTXuwauH72yxqySlV6h+jxMipV6p+rswaoqqruURSlpaqqqqIotwEfAacvLaucoYwayiu/xhxgDkBUVJQ6evToWjS9YWTvSoLdexk5dDDtU1cAdiLG30VEm4Fn3mm566TmoLadse7Yxw/WcTxm/Bks+2DgLHpN+ZdL/bgcO49Ea93mO+nKqOIFjB7YCzwDL8SpNZro6Gia0jUW9Uuub/Mn17h5O9v1XV8QC/GJAAzo04sefzzKbntHSqOuYsiRdxjd2gadxjZMY8U5kb/h5k2u7wXm+N5u8wkFTgLQWknnXeMnDNTFkWZoRe7Ez+g04G9U7R+tnqqqvLZ1KQBTJ4zhgTXaa/xtVC/G9AyHFUtoF+TJzGljgNpd46Ad0ZQY3fhwdzbQltvKnuAPt9cZkvBv/mz5H8oHyEZ07Y3ZaufWr7bRvaUvRRaIz7O7HN9qs2O22h25BmKY0sWf4sPryN95nK66ZNwyWjP68mnQeTLoa9P/WbNaHUGt6Pv9CXgJKFAUxd3RM9oCrWc0F+gKoCiKwbGbTVGU6upeNP71k9Z97WnSw/FNYPKGln3rdIyP1x0F4BvbRLrpjhMa0Y1+k96scZ8YfXftwYnN0GVq3RsuhBBCXACVs/WGpqxBn5vIHOvDrN7Xi8M+nihHVkKnqsuwCSHExa600hz8+du14DSUbFb7vU5ZSSH/KruPd1+YDUrdehOV0+r/774hlNnsDO2g9ZzGvjQRva5ux/Ry07P1WLZz+4AawYLIN7nh8CPMLHiAUSYd7ZUUMnfdw92H+tOKDPqnreAl02b8KSR/XTxHLYFkpSWxM9XKvtIQlODOjPM8yttpn+Jl0nqGk9UggnO2wYIFENIFrv8WQqLO1KxaOWuAqihKCJDtmEM6HtgDJANTFUX5FZgG3IoWoP5TUZTngSnARschVlVT96IT6GWC1H0Q2uOsdwa2PD2OQrOF8e9uALTFegEK8OR+yyO83qMn/XQ1D39K8eoKpW5aUCwBqhBCiCYiKafE+Th0/xeo/u1YkToAOzqSvHrQRhL8CSEuMpviM/l8QwKfzuyHm0F/xnrbE7NdtgPdVVYFf4l7fjFzu33GlX2G1Dk4Lff8Fd3wdyRN6h/hOnrSy63uvZKexqr7PL0ngF36O3jbPgc/xcR+NYIB+//NWtWIm7uWE+egvQ35eNJx/XOUd8mV33K0pyroFJVifTvuKHucrfauFONOsAesm1aKz+on4KfbYNY6MJ574rzanG1v4H1FUcxADnAPUAAsBt4GvlJV9RCAoihfA3Fo81GnOfZ/sbq6F4sBEQEYdDqMCpAWC73/dtZ9wvzcAXfnts3uOso50Mt01mOcyLejtu+LcnxTXZsshBBCXDAFjuz2vZR4PNN2wKTZ2H/VbrpmBvShTeLnUJpf7VrhQgjRGH7bk4xOUZjW2zUVjqqq2FW46fOtADw0bzefzezvfL7IbOXHrSeY0C2UiGAv9pzIBeDHuwdxaO8mbj31KobMOLj+W+7rNv282njn8Pbntf/pjmdrc2VNBh07nx1PzxdXAvCzbTSJ9jBSCSDPrRXdy/YyXreLbF0gKWFjGT9iGPf/sIsOSjIemMlU/fBTiohUUuitS2B4p2C6XPsC/bZm8lLvVjz72342HM6g50/u/HXt+7T642ZY+ypMfO2c216bOairge7VPDW4mrofoc1RrVyWUV3di8G6uHS2J+Ywvmso5B6HsgII63Hex+3T1r/G50d0CmbjkUx+TI/gxtL56ArSwCf0vF9XCCGEqKuZX26lYwtvnpvaDZ1OIb/EQlSoD2+ZNkGeN1x2M/yqDZrKDeoNx+zaiKOIYY3cciGE0OZPPjx/DwBX9Ap3GU77j3m7iT1VsX7oitg0l30/XHuUT9fH89rSg2x+eixpBaUEeBoZGmJm6LHHtIRwN/0MnS9vmJOpg7R8M6CtterjbsSgU7A6Os22q1348MY+/OunPWy2dyfeqy/f3TWIqDAfAFY8MpKJ/9ngPJbi24pleW1ZZh/E3usux+Bp5MGxAQDMGhHJhsMZAAz7n8LiyGvpufljiJoMEcPPqe3nP4u1mcovtXDH19sBMOgUSNuvPRHa85yPmTh7Kja7WmUMeSt/D+eaQgATu4ex8Ugmc/P6cLPbPDj4Owy855xfVwghhDgXR9ML2Xgkk41HMjmZXcynt/SjwGzl2k4KXXatgoGzXHpKzYGdtQcZByVAFUI0CZ+ur1j/s8BsxWZT6fPKKjq18OZIemGN+2YWmp2Ph7yxFoCuwQaYfxOUFcPdq6BF1wvT8HoyJFJbh/XlK3vwzKJ9AESGeDGtd0te+D2W7KIyl+AUICrMh8TZU9lwOIP2wV60CfQkLrWAdkGeuBtdh0AP6xjE5B5hLNufCsDfEiYT22qvNtT3vj/BN7zObZY88Gfw7srDzsfZxWWQul+7S1KHX8Lq5jJXN8F56UMjXLZ93LX7BkfU1hy2t4LYRbV+TSGEEKK+jH93vfPx6oPpdPy/ZQBMyJgLKDDoXpf6Zo9wcPOF9IMN2EohhDizdyp9p0/PL3UmDjo9OO2tHOVL49vkL/4/pjz9Ma8u3kduscWljgkLL5e+AakxcM3nTT44BfjmTm3lkWv7tebRCZ058PJE1j46GoDv7hrIpO5htA/2qnbfkZ1DaBPoCWhB6+nBKWgJnp67optzuwgPUqd8AZZiWHgX2CxV9jkb6UGtRnGZlbmbEp3bBp2iDVcK7AAmz1ofZ/Y1vXjifzEAdKl0V+J0fp5GXr6yO8//FguAd6WJ0Etsg+l8/BcoSAWfsDqeiRBCCFG/fCimbdJi6HcbBES4PFdmU6FVXzi2ofqdhRCiAdlPywOzdF9qpUy8KjP1qwhRcnHHwl36pVgxYNwVw1I3G4U73FnmPYOJQWBDx+YcP241rKKf9QhM/1AbwtqEeZn0FJXZMBm0/kiTQcc/xrkufNO9pR+fzux33q8V5utOoJcJi81OQamVzw4YeWHa+/DLPbD4Ybjy4zolj5IAtRrHs4pdtq/p2xo27oNWdbuA1/dvQ2SwF08sjOH7uwfVWHdyj3BngOrnYXSWL7EP4p8shAO/w6BZdXp9IYQQor5N1G9HZzND7xurPGexqRA1BZY9AZlHIbhjI7RQCCE0ZTa7y/a7qyp6Ux/U/8pjxp+d23ntpzDy4FXosTNWv5urdRu5rmgedhQU4G8mlXTVn9Sx/yGsb9NflGTpwyM4klbzEOb6otMpbHtmHDnFFga8tprf9pzi4XFX4T8qHtbPBv92MPrJ2h/vArb1opWWry0L42XSc+DliVzT3QdyT0BY3eef9o8IZO2jown2dquxXoBnRVDawqciA/BRtTXmwCgZ5iuEEKLBtfTTPo/GdmnhLJuu24TNr121N20tNjt0nqRtxK9pkDYKIcSZmK1agDqhm2uyUXfMzDL8wQpbf34YuRbuWYvXzd+ThzfZ+PI/2yhusTzDdPMrfDlsHaWPHuODdh9z6Np1hI28ozFOpc7aBXkxvlvDJVk16HWE+LgxJDKI7KIyLnt5FX87PIqUiBkQ/Trs+bHWx5IAtRp5JdpY6d//MRxPk0FbXgbOK0HS2Rj02qXoGu5LC1/XYDbGayic3Kql7RdCCCEawJaELE7llTKpe5gzN0IrMhiqi8Xe/WqX4VqvXKkl+7fY7ODfFrzDIHlno7RbCCHKlTkC1DBfd5fyJ9rE4auU8LVtEpHtIqBVPwynrX9qR0eM2oF2LcPx8AngoTtuYWTPyIZq+kVrRt9WzsdbjuUw8tAMMoMHoS55DEpya3UMCVCrUWTWxqY754KmOjL41sMSMzXZ9NRYfr5viMsE5FBfN7breoFqg2Pra9hbCCGEqD+vLjkAwKm8EmeAerdhKSoK+gF3udS9rn8bwDGcTlG03lUJUIUQjax8iK+vh+usxkmWVRDQnjnPPcyQDkHO8jaBHgDMn1WxQubA9oEN0NLm47p+rYkKrci9Y8HAbclXoliKYPd3tTqGBKjVKDJri5B7mhyBYto+8AgEn7qnSa6Llv4eLgmSAAw6He/GBWl3o3d/f0FfXwghhChXXKbdrDXoFBQUAsjnJmM0CeFT0AW0canrZtChU6DYcYOX1v0g6yiU5DR0s4UQwsnsSIhUOb9LhJJCy9yd0Hcmvh4ml/of3diXCd1C6ds2gDev6cm8ewbj7+laR9RMURQW3j8UAH/HFMZYNYITPn1h62dgs571GBKgVqOorDxArdSDGtajTtmnztdb1/Tiwxv7kJxbghUDmW0naVkRa3FRhRBCiPPl5fgM7NTCB3ejjun6zbipZqJmPF2lrqIo+LgbKSh1LCdQPj81eVdDNVcIIaoo70H1rxSI3mzagKrooPdNVer3buPP57f2x2TQccOAti69q6L2vN0MLPz7UNY9OpqDL08izNedNX7XQN5JOPTHWfeXAPU0NrvKf1YfARxrltpt2npuYb0atB3XD2jDtN4tndsFIX209YTSYxu0HUIIIS5NLf21OVsvTu/Og2M78feg3dhbdIfQ7tXW9/UwOHM40LIPoEiAKoRoVGaLFqAGeZtY99hoDr88gXt8tqJ0uhx8L+zIyEtdv3YBBHiZ8DDpCfNzZx19tWy+f7531g43CVBPcyq3xLUgKx6sJRB6Yeefnk1pmONu9MltjdoOIYQQzZ/ZamNFbBqBji8XfkXHCcuPQdfrujPu4+tuJL/U8aXD3Q+CO0PyjgZqsRBCVFXiGOLrbtTTPtgLU8JqKEyFPjMbuWWXllBfN1ILLDDueUjZA5s/rLG+BKincd79LZcao/1/gRMknU2xRyttHqoEqEIIIS6wxXtTAMguKtMKdn8Lir7atU/LWW0qaw+lU+r4QuhMlKSqF7q54hJgs6vOjKxC1Fb593rnHNRd34J3KHSe2IituvSE+rqTlm+GntdC1FRY/3aN9SVAPU1Ggdm1IGUP6N0gOKpxGuRgttmhzQBIkgBVCCHEhXUkraBiw26HvfO1L3Q+YWfcJ86xz087TmoFrfpCUQbkJ1/IpopLxDO/7KPzs8t4b9Xhxm6KuIjkFWsBqr+nEQrS4MhK7Uab3niWPUV9auHjRl6JRbuBOfFVsFtqrC8B6mkyCk8LUJN2QngvMDROBq9v7xwIONZxajMIchKhML1R2iKEEOLS4DKaKHUvFKZBtytrtW/5Um3OqTFpkjtBnO80f9QAACAASURBVL8Fjhsf76850sgtEReT3BJtFIi/pwli5mvLNsrw3gbXwrEObXJuCQRGwsjHa6wvAeppXHpQbVatB7VV/0ZrT5C3FhibrXZorQWrMsxXCCHEhWK1q8zfrgUDGx4fA0fXaE90GFur/Z1DfEO7af+n7qvvJopLjKqquBu1r6wjOgU3cmvExSS32IJBp+Bl1GnLNbYZBMEdG7tZl5xQR4A69YONWsGoJ2qsf0kGqDa7yvL9qainzYtRVZW3V8QB8MGNfSD9gJY5t3XjBahuBu0SlVntEN4b9CY4ubXR2iOEEKJ5Symq+GxsG+QJx//SekO9W9Rq/1KrI0B19wP/tpC2/0I0U1xCFu5KptSRjXXjkUzyS2seHihEudwSC/6eRpSTWyDzMPS9tbGbdEnyddeWLSu12Bn19jr+iDlVY/1LMkD9dH08932/k1UH0lzKC81a9sFOLbyZ3rtlRfbBVn0buolO7kY9AMVlVjC6a0Fq0vZGa48QQojmLa2oUiIaVdUSHdXlRq0jvj2WWcTyrFBKTuyu3waKZkNVVVLySmqsY7erPPbzXpey77ccv5DNEs1IXrFFS5C072cwekH3GY3dpEtSz1Z+zsfHs4p58MeaPxcuyQB1R2I2AHGpBS7l5XNu7hkRqRUk7wTPIAho36DtqyzY2w2AzEJHJsU2g7R15axljdYmIYQQzVd+mRZhvn1tL8hOgNI8LSNvLX22IQGADYcziLW3w6MgEcwFNe8kLkmb47MY8sZaft975t6UT9bHAzAmKoR7hkdwl34p49ZdjS36LSgrbqiminqUU1TGXXO3V13a8QLIKDQT6GWChPUQMRxMXhf8NUVVBn3dQs5LMkBNySsF4N+nZYKbt+0EAB4mrdeSpB3ah7KiNGj7KnM36vF2M1TMjW09AGxmmdMjhBDigsgzqygKzOjTSrtRC3UKUAFeXnyAY5lFxKoRWkGqDPMVVR3LKgK0mxnVKSi18OFaLSnSK1f14Bm3n3nO+D1eFKGPfg3e7ghbPpWljC4iBaUWHvhxF2sOpTN09lpthGA1LLb6WVLoVG4J3b0KIDseIkfVyzHFuflsZu0/Ry7JALWgtPo/hgXbkwBHr2VBKmQcgnbDGrJp1WoT6MmxzCLHxiDt/5NbGq9BQgghmqWMAjO/xVtQVccd7+Sd2rC4kC5n3feyNv7Ox1/9dYy5mxKJtUdoBSl7q99JXLIKzVbSHB0GBl31HQGrDqRRarHzw92DaJ2+AeWv9zjSagbDze+zc+wP0G4oLH+Skv/9ndKSS7s31W5XsdmbdqCuqio9X1zJpvgsZ9l3myuGa8eeyuN4VhGP/rSXYbPXVskVU1d5xRaSckoYpDhukLUfeV7HE+enpZ9HretecgGq3a5qKY6rcUWvcACGdAiC+LVaYS2zFl5IHVt4k+i4y4hvuJaeOfHPxm2UEEKIZuemz0+7+Zm8E1peBjr9Wff97q6BVcrSCCDfLQyObaC4zEpafml9NVVc5Pq+sooP1h4FqDawUlWV99ccoWMLbwYHFsKv90FYT3RT3wEUDhh7MOT4vST1+gcesfPYPnsKiWm5DXwWjS8tvxSLzc693++kwzNLG7s5NUqt9Pf/5jU9AThUabrd1A/+ZNTb0SzclUR6gZn8M3Qo1dbtc7VVL3pbYrQpey26n9fxxPkJ9K79kp21ClAVRQlRFCVTUZTRiqJEKoqyU1GUo4qi/F+lOs85yrYrihLhKKu2bkNLzSsl4qklrD6Qxg9bK+7UhDlSHpcrKbMR6qvN+SR+LXi1qFjHrRF5GvUczypm6gcbsdrs2h2gxD+1ZXCEEEKIenIkvbBiw1oGKTG1ThTo417dwvcKR/yGYY9fS5/nFzPo9TXsT86rn8aKi1ZWoVlbncDh551JqCU5HN/3J/mxq8g8cYjDqfkczyrmvr5e6L+fAXY7XPcNXl7eAPy25xQpBWXcmjCepy13MULZzbYPb2XF/pqzgzYnZquNQa+vodP/LauS+LMpOup4f7ljWAQ3DGjLY35rGbrvOcg/xeG0qvPUp7y/8Zxf61hmEbtP5NKzpS/hWVu07866S65frkkJ9KwIUFf/q+bebEMtj/k2UL7S9rPAa8BvwCZFURYBRcAMIAqYArwJ3FBdXVVVD9T2ROrLlgRtKMGi3cn4e1Z8gKbml5KYWUREsDZhuthiw9Nk0N4E49dCx/FN4pe5fE5s7Kl88kosBLUfCTvnaoun13FekBBCCHE2L07rBmn7tJwH5/k5c9BnGP3SFzJEF0u0vQ8frDnCnFsbb/k20fie/y3W+bivcpjnjd+hvBlPu0p1TKonXxk7M3J7KpQVwK2/QlAHvBxLzOw4ngNAQmYRCYwjVMnhEcMvbNjwCvT4pCFPp9Gk5ZmrlBWZm17nxcnsYnadyOFEljYM+75RHWD/Qh40f6FFIh/2p9QcxjKThRJMLLENZpFtOMnn0CFusdl5felBvN20EOfNEXqU31K17/SiUTlz/AAdW/jUWPesAaqiKJOA1EpFo4D7VVW1KYryh2O7BFjmKFsGfFxD3QYPULOKtIy3Qd4mdI6ER+2CPDmeVczod6JJnD0V0HpQPYx6SI2B4qwmMbwXKpaaAccwmIgR2kbiX9CqHy/+rr3Rj+wcTM9W/oT4uDVGM4UQQlzkJnUPY3lsKjOHRMC25Vphm8HndcyjXr0p03lwp345ZkyMDg86/4aKi9LWhCxumFMxjHzVDIX2K98kxeLNO5briFPbUIAnEUoqvZR4huv2Y/BvC1e8py2zB3iZqv/qujfyPn5MyOWm9B/hy3gYdB/0uLpBzquxpFYzZP79NUcY6tnwbfltTzJvLY9j2SMj8D1tNMVHa4+yYMdJ53aLojj49QGSfXpzW+bNrOqzn/xdMRTb9YQp2Txn/J4nDfNYY+8Lif4QUbt8MKqq8uCPu1gRW9GbHJUdrT1oIt/pL3XvXt+bLmG+Z61XY4CqKIoX8CQwFfivo9hLVdXyv4h0oCVaD2omgKqqVkVR9Iqi6M9Qt7rXmQXMAggJCSE6OvqsDa+LQwlagJqekkxemUqwh0KfAAvHHXO0y1/vVHoJZTZIWDWPSGBTqhtlOfXblnORmlyxpMz6PzcR4qljsFsIeXtXcdDSi7mbtPmpczclEuapMHtkI7wz1UFhYWG9X2PRdMj1bf7kGjdPe9KtLI81E+mjsnHDerrFLsbXLYQtu+KAuFodIypAR1xOxdBNLyMknMpio/ckxuUvYqR+H7lbPmW9/jNUXXVDgkVDaKy/4Sc3VCQyejwyicgVz1PqHsLzns+xLsPb+dwWujGfsUT46nixkwfE5UBcRXvd9GC2VRz3vdEeBLiX8FjirbRwNzE0cy+e/7uDlD9/IC7qflDOPof6YvTCpqo5VXbFHadXJ2u9Xt+kAjtf7zfTxlfH7d2rdoJY7SoPr9Su7SeL1jMo3DW82H6kop2RphzMcx9G0XnymfcDHM3w5lulIy+YJzEgTM/2VBudlZNcp1/PDP2f2L+Zxu4+synw7VzldQvLVHamWRkQZsDdAPszbayIrehVHqnbB3+9R0bwIGJ3HQYOVznGxepi/RwOBNLzIf0sl+JsPaivAm+pqlqsVCy1cvpMduUMZWeqW4WqqnOAOQBRUVHq6NGjz9Ksurl9+RIAlidaGdEpmFDK6BIZxCuJz+GllDK6+7sQEsX7B/5irH0nkUmLoO1Qhk5sGov5xinx/Hr0EAD9BgwkMsQbUgfhnhFHi1GjYHnFpPjUYpX6/vnVt+jo6CbfRnHu5Po2f3KNm6fbn9I+K1t4G7Tru+t+6DSyTtc61y+ZRxbscW77e3kQ3CKQ/2bcxSaLF5P12+jPYUZFGCGy9scV9auh/4ZVVeWHrSdIK96Pp0nPk/11zDzyHjrvYLzuWcO7ugD6vLIK0BJWDu8YTKsAD3q28sPfs2piFZ8/V2EuLOPqvq24e3gk3VpqPTIe29aypN3TjL+2B2m/P0/43o8Jj+gMk95osHNtSMcd32/LXdcyiymlSwgsG0Tv0f+qcd/0glJCvN1QarGU4lMLY4jPO0l8np1/XDGQfu0C+G/0UaIPZfDF7f3ZmpAN7ADAN7w9JUGeTO6pJR7NKjSTsHw1AKH6AlaHfoQurwRu/4Owwz5wLI5FJ92BUkJCQrimpYGFu+A16y18aL2KmNBX6JfwEdy3Edz9XNr1zKJ9/Bh7gq9jy2jl78Etg9sDh2itpPOM4Uem6LdBcDdCZn7HaJ/Q2v1QLxLN/XP4bAHqVcAMxy9vMDAJyFcUxd3RM9oCrWc0F+gKoCiKAVAdw3oLqqnbqLYkZDGsYzBjDr5IlGE1Zaoevrsarv+WW3M/5cqyPyC8J1zzRWM31anymO0Xfo/lu7sGaUNdDi3BXFQ12USh2eocey+EEELURYC7DrITID+5zsN7TYaKvA3PTOnCnA3H+GVXMgA7mcJ8+1hi3Gehj18rAeolYuHOJF5aHOvMyLpwQgld/3wY9Aa49XfwCSUAOPzqZPafyqNv24CzHjOzUBtZNiaqhTM4BTiZXcLJ7GTGdmnBP7YO4z3fk8zY8l8I7oTa7w5u/mIrm+KzuLxbaLOaB73xiTFkHt5C9xWPYlLLIGY5nJgL096HDmOq1N8cn8WNn2/hlSu7a8P5z+JgSr7z8TWfbGL946N5a3kcweTx1nvRJBXYGawz0VZJw331N4Tq4smN6Y1Xu8uYtymF+/TZ3NbdSNjJP1Cyi+Cmn6BlHwxH4wHIK9HmFb80vQfB3iaen9aNr/86xn9WH8Fy1ecYv50Kvz8E182FSgH1+riK9XOTc0uIjkvnZo8tPKN+gV1VYcRjMPyf4FbROy8uDjVGMaqqti9/rCjKXGAucB0wVVGUX4FpwK1oAeo/FUV5Hi1JUnnarVXV1G1QJWU2l22LTWWA8RhRGSv42DqdZbaB/GF+G74Yywxgs98UhtzxBZi8GrqpZ+TnUTEMauORTO1BeG9AxXpqX5X6can59GsX2ECtE0IIcbGrvMzH9A5GOLxS2+hUt8QiJn1FgDprZAdeX3rI5XmL3pNk7560jV8HE869veV+3Z1MuyBP+tQiqBENr9Ri49GftTVwTViYHb6eLmvnQotucOM88G/rrGsy6GoVnFbWp61/teX/mLcbgEfzr+eqHqUoSx5jabIXm+K1QGXlgTSOZxXRLqjpfNerK1VVMegUZo2MpI0xnzabH6LAFMDovP/jvc6xDCpYCYvuhfu3gKfrd8K/jmrfJV9dcpCbBrVDr1Oca46e3qOqqipH0wu5oX8bxzxSle/mfcdHxl+YqNuB0WyDSp3cJaqJA2o7LIdXYzyykAcBjKAmeKB0HAdjn4UWXQEwOBKRHsss4s5h7Z05VPw8jJgdWZ6f2+XF7LHPwpqXYO98uOxGAE7llpCcW8L1/Vuz8dApehZv5bqkDUzQ78TaehAZEz7Ep11Uff7IRQM6l262F4HFaJl9v1JV9RCAoihfo01SKUILRs9YtyEdqHTXp9y4/EWYdZ7813olRXgQP20h7ZJ/55bt7Wnfrj9DmlBwClRJenTH19sYEebLnYD91B4g0uV5s8WOEEIIUVtbj2lJGV6f0ROPkgQ4sgKCO2vrbtdB5R7U6pRZ7fyS15lHChZAYQZ4h5y9bQlZBHmbqmR9zCgwO4cTb3l6HGF+7tXtLhrI0fRC1h1KZ1tiNkFeJhbuSmLWyEi8KeZB9xXc67kOJScTul8N0z+sl16t078ftfL3cFnr3o6OlAkf0zL3CkbseZQH9JOxo8OCnhO7raSrZkyWXHp3aAudJtRqvd/Goqoqqw6k0a2lLyPeWsc9IyKx2lX8jTaYdyMUZ5M3YyGnvs1muXECg66/BeaMhrWvwhXvOo+TlFPMsv0pAJitdvYn59G7jT8v/h7LbzsTWfjgSDq0qOiVXheXTlGZjZ6t/XhmQjuOzLmV/pnR5Oi8mWubyDLbQPQ6hend/Lnx8uFc/sUxTuaVASq+FOGGlbl/H0f3tqEuvZ8ABn3Fdq/WrsN3yzuY/ohJYfYLj8Dh5bDiGfJbj+KehcfZeiwbgG7BBl4J/wi3k3+So3qzwOc2brjjXcL1MpLwYlbrq6eq6u2VNquM+VFV9SPgo9PKMqqr25BOZBe5bAeTR6fM1WwNmE5RsQcA475Pp7yZ3YxN7xe6fbBrwLwuLoN1cXBncCi61BiqBKhWCVCrk1VoxmJT5UuMEEKcJiZJmy4ysH0gKTGx2lrbA2fV+ThnC1AB1lm684gbcGw99Ly2xrp5xRZumLOFYG8TO5517XLNKqpIhjJv2wn+OaFqEhXRcG77aptLcOhGGeYNH7De7XeCKIDWk2HgPVo21VrMe6zJezf0Zum+VNwMrgHlkoeGM3vZIeZvP4mnSU9xmY2rvoihm9s/edn2HI8bf6qo/OcPFY+3AX1ugekfnXfbLpRN8VnM+m4nl7XxR1VhzoYEAIad/BRO7Ya//UBwh4HAcvLLVAjvBf3vhB1faRmNQ7S/j+FvrgPAqFew2FSu/PgvugfrGZfzM1sMv1H8bQTc9iOEdGbvyVzunKvNLR3VwR+/pffRr3gDb1mu50vbFBY9NI4pnkZa+LhhdIye2Ph0R5buS+HJhTHkl3rz+MQourcLq/acDJWWcrzyMtc8quU9umU2u7bk4xX/Qf18DAkfTGVf2bOAOx6UcuuxJ1CSNvGs5Q5+so3m/4Zcpg0fFxe1Zn8Fj6RpiwK/cXVPnv5lH9fr16G3WyjrexfVLbAU5tf0lmgJ9/PgvlEd+HR9vEt5cVBPihJ3oE0VrlBqcQxrLs6uMqzjUjb9o79Izi3h2BtTapUUQAghLhXp+WY8TXo6tvCmNGcv2Mqg86Q6H6emAPXGgW2Yt+0k+9RIcPeH+HVnDVCjD2upKzILy4hwJHHa/9JEvN0M5BRZavW6ov7Z7Sonc4qdQ2SLzFaSc0twM+j4z5UR+Mf9TLfEb/CzZhLn1R+v697APWJgvb3+jD6tmdGndZVyf08Ts6/pxexrepFVaKbfq6tJLzCTXuDLGN7lg6s7MbVPBHd/Ho0paROZqh+Z+HGzfg137f4eWg+EfrfVWzvr0/zt2jIt+SUVv/f+FBB18mfodQN0mYo74O1m0AJUgNFPQcxPsORfcNtiSit1YAyICGRTfBZ9lcN8XPAB4cZsttq70KM0FT4fw8eBT/JZYhi+wGD9Ados+QQSN6JMeQffkrE8bdC5zP+tbErPcMZ3DWX94QxGdT7zKAmDTvsu1rGFd5XvZWU2R4DqaHO8ri2zi+/nU+N7fGx8n3ssj/J75xXojv8FV3/OFK8x3BvgSesAjzr9XEXT1Kzf0fNKLPw3Wgvquob7osPOTYa1FLQcyuhhw+gQUnUo7/X92zR0M2vlruHtq5Qd1kUSXHIMD7SVfFq5lzJDtxFLbipEvwlvtYfYXxu6qU3SithU553d9IKqC1sLIcSlLDm3mDBfbXRJUNZ2cPODtnUfAFV5DmplniY9r1zZA9CGXdraj4Kjq8Be84if41nFVcoSM7WRUTFJFTeZ314R50y0Ii4cu13luy3Hefa3/Yx6O5otCdrQ8JcXHyCUbBZHrWDyqgkMOfpv/Fp2gtv+IOrxNfUanNZWkLcb7saK30cbegZ0aQ9GD/4xbQhL7YPZpnYlQW3Jq9abKQ4fDKtfhNKqyScbW36phc3x2s86IbNiZODthhUYbCUw/BFnWZC3iYIylR2J2ezM1MGEFyFxI8Qucva6ArwyLYol3dfxs9vL2NDxSfsPeNr3TV5vMwc1oB0PpD5HjPs9xLjfwxzje5B+UBuaPfAe7hvVgduHVf1eWpnJoGNCt9Aabx6VD/GtnGul3PCOwQB0CPFi6b4U3lp+iFX2/jxrvZMx+r3EtHiJTicWwOC/Q6/rGNohmDaBntIB0Uw02x5Um12l90srndu+7gZG6PbRWskko9er+ADvXNebGf/d5LJfdenMm4IQHze8THqKKiV92mnozWWKyjzTq4SPupuAo4swpWyHNZ9U7LjjK+h+VTVHvHSoqsq93+10bifllBDqK8N8hRCi3P7kfPq2CwCrmeDMLdB1Mujrvk5p5YCgslX/GoWhUvBa1H4ivgd/g+Sd0GbAGY9XXYA688utzLkimPDol1nkmY6vNZtCPDhwqDVD+vSuc5tF7b29Mo5PostHc6k89fki7mp5glHpm3nebS+eCVboOg1GPKoNMW1ke56/nNnLDtHC1432QV60cHz2d2vpy/TeLZncIwwfdyO3fLmV7Z3/xaj118Omj2Ds/zVyy131eXmVSyIzAH99GbfpV5LfdgK+jqRDAEFeJgqKSrn2080AJL5+G2z7Auuql/gw7WXAwENjIumw6UmIXwB9bqH1xDf4u7sv0Z9tZmWSlctGf8HOpV/SJVDP+KhAWncZAO1H1fvQWb2jB7W6942pvcL5z2pvMgvN3P/DLme5rv8d2INa47nuFegwDsa/VK9tEk1Dsw1Qv9mU6LLtYVS4V7+YTNUXY3cth1OftgFEBHmSWM0HYFP0+tU9eXh+xfpyB4w92WjrwQj9ftj4DKrejY+t02mrpDN53HgMdjNseBsKUsGn+vH/l4KMQtce0+TcEvq1O/eMj8v3p9LS352u4b6cyC6mQ4ikLxdCXLxUVSWjwEwrfw84vByjtRB6/+2cjmXSV59kppW/Nuzu3et786+f9pLXajS+OgPELakxQD2ZXfH5PLJzCClHdvOo5Wcu+20XvdBx0rMr1oBudMr8k8K/noDey7T5aqJe2O0quSUWjHqFzzckOIPTdkoqbxo/Z7DuIGRBii6Isqir8Jr0VJ0Ta11I7kY9L07vXqXcqNfxwY19gIpkPPvpwKhuV8Hmj7W5st4tGrStNTk9OJ3UPYznPX4iYH8hXP60y3PB3m6sPFFpZIJOD+NfxPDjddylX8p82xjuz3kLDv0CY56FUY87q/aPCGDrsWweX3wMGMui64bS+gJmyC6ft+puqP59Y1zXUJfpbd5uBl6b0RPoCUMfAL2pyc4ZFuen2Qaoe066zi/1jp3PUP0BnrLczRveFUN7y+/eXNEr/Ixj6ZuKKy9r5RKgltnsPGB5iA8HmhnVrxelnq14e/Y27cnlkPhQSy1APbYBel3fSK1ufNGV1skCLYPdufp2cyLP/xYLwNSe4SzZl0LsSxPxknVnhRBNTEGphY/WHuXh8Z3wNJ35ParAbKXMZifIywR75mE2BeIWWXXtxNo4fTjfvHsGV+RFAGdSm1KDL7QfCfv+p31JPkPPzPHsInq28sPDqOf98JUEnHibEtXE17ZJ/GAbx9cP3oCbXsdL/36eNzM/h11ztcQwol68/McB5la64a9g5zb9Sp5z/wnFYOKVwptZY+/LG3ddxRDHkMyLjYdJj7tRR1JOibYEysHFsPHfMPnNxm7aGX16RRB8+AVcdjO07ufyXLsgT5fte7/bQY/wCDrb+vOUcT7/NCzE7bAKIx+HkY+51G0T4Lpvqws8n7N8fqm7sfoANdDLdRSHSyxqaHo5Y0T9aba3GVPyKjLJ6RRwP/wbR+0tmW8b4zI+vTyD2MzB7bh/dMcGb+f5KCy1kI83ZR0mQsvL8PAP4clJXZzPf3vMF9z9tLkHl7DyOTLlknJKzlCzZlmFZmdwCrBkn5amPUPmtAohmqA3lh3isw0JPDJ/D5viM/l2cyI5RWXO50stNtLyS0nK1t4T25gK4MhK0kJHn/NyGwGnfaEc0iGIMV0qeqLKA1iz1a5lCc47CQeq5kr4384kDqXmk5ZvZnzXUH6aosN/6zuss/VmStkbvG69meNqGP6eJkwGHQtso0kP6KstqVFSNQGiODdrDqU5H/tSyFzjW7xo/BZ95Ch0D2xl+n2v07NXPwa0v7gTMpZa7MzbdoLoLD8tm+/2LyEr/uw7NhA/DyMzB7dj89Nj+fWBYbDja1BVGFN1KPKg9kEu2yti0/j36iM8ZHmQ763jyG01Cu7doAXjp/U+Vp5GBhDkdWGDwLaOYHpKz/Bqn/dxr3g/6dPWn2/vbPi5zKJxNNsAtaDU6nz8+U29MCRvY6O9J+D6x6hzjn9vumtfVVae8QwqlgWoXDawfcVQjOcXH4LWAyCpYv7lpSY5t4RfdiU7t/U6xWXIWF1kV/piV9nkd5azKzGdIrOVKz/6k6hnlzFnQ9P5YBNCXJqW708FYOWBNG76fCvP/xbLm8srliN/amEMg15f41wDdUDBGlBtpIaNPefXdDPoeXFaN766vf8Zni8PUG3QaaI2HHTH1y51diRm89jPe5n0H+3maqCXEVY9D77hPGh5iGNqxZdZH3eDY5igwtaox6E4C3bOPef2C23I976kPGKScjmZXcL03i1pp6SyrcUbjDIdgqnvwk0LwLclvdv48+GNfVzmF1/M/rlgj5b51uQJC27h+w0H+PfKuEZtk6qqFJqt+HoYCPfz4LJwT9jzg5Zl269Vlfrju4Xy/BB3Xp/R01nWu7UfZkxs6PwMobMWQmjVYc+Ac/rTfaM6cPvQCOcowwulb9sAYl68nKm9qg9Qx0RV3NxadP8w+lzA4caiaWke7yjVKCqzMq13Sz6/tT9jfU6gWEvYbO9WpV55cHexDGG3VpqHkOUImCq/gQScluRJbdUf0g+AuaBhGtjEJFUKRm8c2JarewUz+OQXmPf9VudjVRegXq3bwB63e4n8ph9py97kVFIiZqud15cequYITV9moZk3lh2k0Gw9e2UhRJOlqmq171l2teIz5Nc9pwCYv+0kPu4GAo8uhJZ9KfY6v2z2tw9rz9guodU+5wxQLY61DfvMhON/QuZRAKw2uzO5S7k2Rfvh5BaUYY9QhDbkcHIPLa+CUa/D6MgEmub1/+ydZ1QVVxeGn7mF3kGaFEFFFFQs2LBg770mxhJNoiYxdj9LoqaYmG7UmGqLJlETS1Tsxoq9YC+IgiCIBenltvl+DEUC/IhU9wAAIABJREFUKCoK4jxruZyZO3PmzC3M7HP2fl9fKW346M+gf7EVfXV6A5WmhFBpSki+FOnnwe7Lt+m64ADdFoQC8Hble+y1+QQTbRIM/gcCh784D03FZHQrKYPO1swIrFyhzxK4fRHF9mnM//cqyZml933K1BrQG0QsjLNnEy+HQNodqP96kcd4Wyt5taEHS14PpHuAK3MHSPW2rzXyfOi5AtxtuPZpJ6Z09C20dvdZYGVStBib7Fv/8lJuA9TEdC1WJira1nBCiDyAiMBhQ/UC++XMoOr+U4D+IpEj0w3gZmtGQy87OvhJN+84y5qACDdPFnF0+WZx6PXc5c961WS0ZhHvsBrjNYMh7I9it5OQpqH/z4fzbQtWhPG1ya+cFytxXeGJd9gXHDZ+l7+MZjFTtYzNR88XEDYo64xdGcZPe6/x1/Ho0u6KjIzMU5CcUfggU4bWANoMTly/m7vtcnwK/e2vI8Sfg4BXn2m/jLOzlbJy/BgDBoKghJPLANh/9W6BY6pfXyb5pgYMZGSLyvwwsC4LXq3L+Q/bA3lCKxq9ARqPhuSbcPavZ3odz5o/jt7IXX7SspT/cuTaPSpNCWHcqjBEseh707ZzeWm9k2qm47tzKJjawhs7wbNJifSlrDGujQ8gWbika3RQpTVi0FheVe2mr3IPtWZtf0QLz46ULCk4tjDJrtM+vhisPaDyozMdWlZz5LsBdfByMCdyTmeaP8STNAfFM541fVxUCoFmVV/M+maZJ6dcBqiXb6WQkqkjNtv3ksj9CM41Saag2uqsrjXwc7WiunPZFkjKYdGQ+rSrkX9kWvWAYqGRSsGqEY15r3VVAI5rs32qYo4+tz6WJbadl260+ya1hIRreFxbyQpda+46NoF/3oELG4rVzuDFR3KXfxvWgGaKM/yo/hbBsQZ/+c5ltNFHfOq1jB/03bAllddV22gY0p5ze/9+JtdV0mw+G8fI5Sc4kP1w+O+l26XcIxkZmaeh6ef/Ftg2XLmZ/13qA7OdqbXMl/nqeUxV/c4i9ZeMS5oDtpWk+rtnSI5PapYue1bQ0gmqtpPEkgwGoh7weARJLdbx5g5p1s7YgikdfelY0wWlQsgVp8sJUBcfuA5V24JTTTgwV6rRe0EJOROXu9zmm70cjCgYuBfGn0dvMGvD+dwAdP2pmywNvc7Ev07T/+fDmJHJ5bBQkuOuwO1LkJ6Qe+y1O6n4TN/CquPR1HKz5jUfPSNipoCpDQzZCPaVS/YiyxAKhYBr9mxdl/kHWHcqhv7hrTig9+NL9c8MVm577jPZOaRml6xZGCvhbrgkfFl/6BPXib9oXP6kI8tel2tPXzbKpfRo+7n7AOhV1w20mRB9VJIMjyy4bx0PW0Lea/Z8O/gUtK7uROvqTmw7fyvX27OwGgEHSynVN0mwAIdqEH3sufazLJAze9nI204qxN+1AlFQMF/XE0XNerx68R3YNBYqtwRjyyLb0eoNXIlPBWBgQw8qx29hmfpzrohu+A5aj/GuWyRlxPBXlBkaxat8pelPNeEG36h/wH//KKjhB04F08vLEg96jAHsD79Lcqb2oak3MjIyZZeU7DT971+ty7R1Z6mZdZIP1Cs4YvBlpa4lLspEOikOYSukkimqSbVrgHnPz0D9bFU7jdUPiCTl4N8brmyB6CMkpOWJ7XQPcKXeuSWgUEuCSkWQcw+8m6rhbpoGh8BhsGkc3L0CFao9mwt5hpy7mcSR6wmYqpVotVm0Uxzn6G+baNKrhRTMmxUUJBJFkXWnbjJ17VkAlh6MxNfZkrT4q3RTHKKH4jzjjeNwFbID0ivSPxEBoVJTCHiV7fHV0egNGKNhtv1Wal5bJHnhvral0FrH8sawpl58EnKRa3fSGLfqNADDmcTf1r/yUeoykrdbY9LkDbDxeK4pzjklQ+ZGKqleW6GSUuNfEp51HaxM2aTcBaiGB1Iqu9Z2hev7QZ8FlZoBpTP69SywfMDWRK0s+OPNsRTI0OjAvQFc2gQGw0vlD5ejrtu5livodXDqd7TebYg/b8e0kOu8Omo2LOkIlzZD7f6FtrFwz1VSMnVodAZ+GlSP9lWt0H/TjRNiVQZrpnDR3B4784RcUa7Rrarww54ILhs8GKyZwgGT6Zj+PQxeW/PQG/zG07FE3k2jW4ArFSyNH2oJUdIUleqVodHLAaqMzAtO06oOtKliyajLy4hTujAocyoa1KCH5A6f08DTmol/HGbNkHZgbvToBp+SvBnUBwJUn/aSn+GlTczbLaWQdq7pwjcdKqC4egDBv1+xvbzvpmbhULWdtBK+vdQCVL1BJEOrx+IxLchWHr3BlOwgc237TDwOTsM8PVvob90foDaHhiOgyeh8ger6sJuMXy0FVUr0dFYcYUjCNuoZhwNw1lCJQ4YaNGvUhD33rNh6KREzsujimkq7pL0o1o9iCCa0MHHGW30f48tJUL0rtPtEmll/CbAxK/j9z8KIy83nE7HxHXocmwfH5oF7Q6LrTsLer2W+e/X287dwtDIhwN2mxPqUpdOz86KUCeZkroDTf4JvlzLl0Soj8ywod9FKenYKRq4iWFQoIIBHIwACK5UPBbAHveYKG10yza7zScvSg3tDyLgP964+t/6VNqIo0v37AwBS2s7VHZB6C6HukLyd3BuBtTucW1NoG0npWr7YejnXmLyRlz2cXY0yM4GVlkMZ2zEAABuzvCCuSy1XrnzSkYUD63IPazZWngWJN+Cn5tL/RTD6z1N8veMKLb7cw5Q1Z5/y6h+PHLucHIY2qQRAuubZDehcvZ2SbzBJRkam5Bi2VMqY6VLLBWtTNX1vfYO3EMdGtwlScJrNkCae1PNyYPf0Ltg9h+AU8tJxdXrp928wiGBiBV4tMFzYCEjbv+9cAeXqQQiI0GJSsdu/m6IBazdw9JMC1FLis80X8Z9ZvLTQnGyfTK2e+f9eBUSGKbfgu+t1zM2tmGYynRqZi9EM2wXVOiIe+Bbxu9pwdRdavYF3/zjJuFWnUWCgh+IAV5w/YJ7RAlzU6ZypPh7GnqPajFM4D1mGY+fp9Bs8muq1GrPJ0JiRMW1pr/uWXlmzWKsLQmPuinGNzlJKb/8VL01wCtLvxcokL+CsaGPKpPbV8K1oz1jtu7TJ+oKPtQMR79/A/Z8+RHzaMNeKJilDy1vLT9Dj+9AS7dM3O64A8EZTL2plHIWMBKluW0amnFPuAtS07LSmoMrZBdWRB8C5JpjacOL9Niwf3rAUe1dyPFjEripkVlSpEDBWKcjQZgeoANFHCuxXXvkk5CLxydIMalVHSzizGszsUfu2x0ipwMHCSJpN9usJEbsgrWB9T06AC9L7aWWihCM/gXNNvp74NiNaSPU4rR7w+PNyMEehEOhU04UaLlasSfSBN3aAXgOrBoE2k8R0Ta45NcD8XeH5zrvhdGyJvhePYtGBPCGpVxt60MjbHl/hBnYhw2HjWIg//5CjH87FuOQCSqK9FobS5pt9DPz15fk+ysg8L07euJ9bQ25hrIL0BAJTdrFU3574CkH59n2emRo55Ij6afUGvtl+Ge9pm1l+KBKqd0WRFEUNIYqv2ljD0k5Sim6fxY8VJN1NzfalrtoWog5BZnKJX0Nx2Hpesvjx/WAreoNIfHImxyITCmSsxCVl4DdzKzVmbMX3g63EJ6awv8YGZqiXI1TrBG/uwqhGZ9IxYUuCC2LvX3lF9Q2XMqwx/N6XDd+MJPbsXl5V7uKk/QzmGi1EaWIJ/X/Hdfo5avWfCTbuGKkUBFXJE5oJdFYRPrsjSoVA+J00Too+xDf/jOrjQqDnD5Ia8kuGiVrJ6pGNc9c3jm7KOy2r4GgleYFeFd1YpO/M8gbr+FA7iIriLdJ/bg+J0Ww6k3ffLsla1Z/2XgPAx8kS4cxKMK9QLHEkGZkXnXIXoOakWpobK0GXBTHHoFJTAOwtjF8Yv9NHUauide6yqpAUXwBzY5WkRmdfRVLge4kC1Jyga1iQFx6WIlzZCjV6gFJNl9ouGKuyvwd1XgODDo4v4fcjUaw4HJXbRuS9PIsalUJAiNwvWfY0HJmv/sTN1ix3+cGZ7eBqFTgedZ9otRf0/Aniwri1agwBH21n1IoTUgqYRp8bkNqRzADlvwxW/1towPwsSMvSceqGZGp/eGprPu1ZE1ttPKuNPsI8eq+khLm4wxN56d5OzqTjd/t5fYkk0HU/TUNsYgYns8936No91p6MKbmLkZGRYfmhvL9hCoUAFzeiRM8afTPaVHeic83C/QafF+rsAdWf911j3r9SVs/KY9GcswxCj4I3VJvpdexVyEiEwRvAt3Ox2j09Q0rrzQtQ24FBC9f3lvxFFIOqjnmijJWnbabhp7vo++NBTh3dC2f+gsQbZGj0dJ0fSqbWQLpGR33hEvsdvsD92ipoOh76LQcjc8a2kUQPx6wMw2vqZg6nOtFXM5ONuob0TF3NWuNZfKpehJWZsWSP8tY+qN7lkSU9aqWC4GxV14ZedoxvVy3fPexlpJqTJRVtTBkW5JWbVeBgbpxvnxmbr7FE35EBmg/QZaZhWN4Tw7n1NFGcY4JqNXfDS0bzQ28QMTNSYmumpmd1M7i8FWr2A2W5q86TkSlAufqWi6LIa9mzMpYmKslaRZcJnkGPOPLF40FTbFURBeSmaqWUpqlQgFsDSSzqJaNpVXu4vAW06ZIQB5LQQLom24KhQjWo0obMQz/xUWIVsjDitUaeGAwiCgEUgoDOIEqKk7s/lUYv/fsU69wd/J1ZuCeCczeTcK/ZCYLG4Bz6HfPVkUy/NJxxq1RsOB2LCh3fOv9Lz5Q/pJlWQPxqCULgcOjw+TOtG84Z0IE8vzGvSz9hhJZRlj/wy9DGsLQzLO9Jar+/MfUKLLZgweV4yXv3dEwSAK2+3sP9dC1K9LRTHCdQcZkTa1zpav8Kateaz1ycRUbmZSDjgdR8jc4A59ci2nkzs8srNPC2p4GXHSFn46jvWTrlLmqV9PfjZmKedcr52GS6LE5mlZEPvZQHEPWmMHI/OFQtdrtWpiqMlAru5ASo7g3A2Aqu7pRqKR9BWHQiFsYqqjgWVPt/GKIocjDiHm62plS0MUUhCCgUAndSs2jgZce567HUUYTTTHGOjoojeG6RZrcNKDljqMonoiW2Rin4mCRjq4lFxAl6L4KaefcZGzMjxrXx4dudV3K3TehanzEbzfjZpD+re9ph7uKDokK1xxbvmfdKHcasDGNS+xdPTOpZIAgCoVPyz1AWZbtyRXTnLe14VqR9z6B7MxiUnSWv/XsLGf1+R/Ruialaic4golYqpOeKxxD8uXo7lXSNntk9/VFfXCcNuNQe8MTXJiPzIlGuAtSoe+ncSs4EkAyNo7JTNMupb1cORQUMZkZK0rOyH1bcG0D4NklSvhAFwPKETm9AqRBo5G0nmcX/vhosXcFDSt0xN1ZJtbk5NHkPk9+6MVC5i8X6jgCsO3UTgwi+zpZciEtijHItRB+Grt+BuqBx9O6JwbkG9Dl42EkzqzkPYjtdRnJSe4vxqr+oY3yVqWffoLcikWGqLfglRoF/bzZZ9mf+nmusDzyP6dGfJeGQ9rOfxduUr2/Dm2bbEWWlUuH6BtYaGmHt6iPVcg3ZhG5JJ/S/dWcAM3ijX0/a+xUuWJKUrmXo1jTYGoJ/xTzrptXHorHPuE5/5Um6Kg/hp4hChwoVOliyWHqQbDkdAt+QR4dlZJ6C++l5KfVG2mS4vg8haCwNvO0B6X6xe2IwFSyNi2rimVJYSUoOX2n78YvpfGzaTn2s4BSkwMLWXM2lOGlgDKVaSlO9+q9kN1NE4HY6OpFePxxEbxCxNFFxdFobTI2Kn2m198odhi7JmzHrEeDKm829uXEzjl+c19LAbAeCQYdBUBFq8Od7bXcuGDzprDxCfcVlvIVY3Nw8MLPxBa9mCLUGgHHBIHlMm6o0qWLP7JCLjG1TleBqjrTwqYCztclTpWqbG6v4dUj9Jz7+ZWFaJ19+3Hstt2RlUvtqtPdzos030MtkMULSWQbVtmDeaYGVVguw/nMg83iFlJpD+ON4HL8Mrs87v59kWidfsnQGEtI1TO1Y/aHnjE6Qsri8HCxg20pw8geXWs/8WmVkygLl6kkwJziF7BTfyFBJKKGcB2RFPWiYGSlzRaNy61BjjoNPu+fUs9LhWOR99AaRHgEVITlOEkgKGps7E2lupESjNzDzn3NMaF8NK+8WnDOuwzvienYatwXgi22SrPu7/lrM7n5BsPK0JExQZ3Ch5/RyMC+wzdpUjbmRkqh76UTcSeWNFaeA7sTbN2Bs8hcsN5oDwE3Rnvn27zO6zyS0p2K4LOr4xboN79VVwOEfpDRkx4ffyJ6UQYukjIPAStm/kXNrEDQpbDPugI0A+8PvUMvNmYjWv+O4pie/8DFdVxjT/rNhhbb35vLjucvnbkq1X8ZouP3PdLYabUQlGIgwuEDvRURWaMOQuesZ6JnI2xZ7Yev/4NQKGLgarFyfyfXKyJRXMjR6qs/YCkjWWhqdgfcqx8IVg1SP+QCF/b16XhSmOp/DMdGXFU138G7DxwtOc4hPziI++Q6ZWr1UzlOljaRgfzccKvjk23fUihOolAo2PlDzn5KpY+Xhq/TxSOdCmiUN/ao88pwno+7nWz8Udo4mNxexw3gjDokpCA3fhKrtULgFEhYaz+ps0ZtzOm/Gt/WhdXVHzFytC2u6AIGV7Fj/Tl5GmHeFx5vtlXly3mpembeaV6bSlBAAOvo7413BguouVpyJSwaqMLx6HYxiw1lg9yndrs1iqmIpiWf/4m1jU9b+0RSDvhezNl4AwIQs+rslYl+xCtZ2FQqcTxRFwqKlcphKhmipXK3dJ8/temVkSptyFaDm1NIBWKhEKaW1TvlVO6viaMHV26l59ZT/wcxIJdnMAFSsC4JSqkMt5wHqr/slUYE6HjZw5lcQDfnM53PM3ZcdisLCREX/+h5MTe7NRuP36aNZS2xiO+KTs/A1T6PjyTGkKFL5WPsaH3Sb91jptoIgYGdhxPLDUSx/oLZ1UN8+aOjEzB/ncMHgSa0mHRicrZxraSwpbH6z4wqvjpuCw4X1sHu2pKb4DMhR6jU1UkqzDMd+BccaXE3zQ3EjkdXH82pEPYTpbDSaziL1V9w7780tpTN+1fKnlB29npCv/aENXOgYNoqGikvsMW1LctB0TGxdqOznTBXA0tmbL6JSCHhjIE3qHYT1b8PqwfD6VnkmVUbmMYhLykuZ9XGy5KPu/hAyQbIlqVh2ZsiER6SgqpVPX9Lg+8FW1r8TRECV1tKGqzvzBagJaRq2nLuV7xgL0nlTtZl+u7dhLqZRR1SSXnsQZm3+B1aunI1JYunBSKZ09M0dFJ669gx/Ho1GpRD4vqMNKds/o4fiAKoUA/sMNeGVOTjVaJp7jndbWdItwJVRK05yIS6Zt5p7lxtdjJeFSx934GJccu7gwNSOvgxeLJVPOVkaY22q5mSiwB+a92mtOEl7xXEchCTeU62ng+IYsaIDbsIdvIQ4lGtEkkUzaDcFGr0tzfojzZwOWXyUa3fTqOthg82J+aA2g1pyeq/My0O5egL8+0R07rJFwjnQppXL+tMc1r3dJH+q6n8wM1JyK1krrRiZS2rGMeW/DnVXtoKlnZkRnFwupfbaV859XavPU9BddOA6BhHOit6s1zdhlHIj7yxsBHjwtuJvhMxkNEO2M8yuGige/0GiXz13vt5xJd82V2sTbM2t2GDchQntqvFaI8/c11xs8tKHd0bpGFBvKBxcAEk3n4lRuq+zJTcS0mle1UFSvL51Bjp/Q8w/mfmUhgFuiE6M1o5mrvp77P7qjj0QJ9phVX8A5h0/BJURrtYmxCZJmQx1PWyYZfw7KC5xq9Vcgpu/XuD8OQ+jQ5cc5+fBjXGo+xH+h8fDwXnQbHyJX6+MTHnl3gNq2fVy6ksjQ8GzMaiej4XM47JmVBN6/3AQgP2TW7LowHXJv/wJmdm1Bh9mz1AdjLhLQHAVqOALl0Kg8du5+0XdS8t3XANXNb8wD+uEM2zRBbJF35CGiou8enYFXFyNtvkUuoV4I6JAIcCXfWtz9XYqfx6Nxk+IZIXL39juOomoVvOrpgPL9W1ZMr4fTv+Z4RQEAU97czaPaYYoio8M1mXKHiZqJXU88uq3m/tUIHRKK37Yc5U6HrZcu5PK/XQtILDLUI9dhnpYGKsI1uznLdUmHIVErosubDI04obBkS7Kw7TaMQNiw6D3r6BQ0uyL3bnt9/VIgRN/Sb63FgVnWmVkyivlKkDN1BrwcbJgeFMv7O9me1uW4wDV0kSNpYm6yNedrE04GpmQV5jv0RhOLIGsFDC2fI49fX4cj8ybwbOJPwwJEdBicr59kjO1ucuZWgPh8akAHK0xjXoXX2d21hz8VcF00v0LdV/DwTvgifszunVVztxMYseFeF5p4MG4NlVxtJKC0FMzCs5k+7la8++EFrT6ei//hMUyoM/rEDoPTi6DltOeuB+FIYoi0Qnp9KvvjgDSTK2lCwQMRLNmV6HHLJs9Ff+pPrRRnMBWSKWR4iIdTiyEhPOI/ZeTmKHF315JklbBjz7H4cCv0PhdnAsJTgG+6lub9nP3odEbsuu4nDjo3R7XPZ9BtY75UptPRCUwd2c4/hWt+WFPBEentc59L2VkXnaGLM4bfOxW21XSG7hzMZ/YTlnD0kTFqODK/LAnAjdbU2Z183uq9vQPeCt/sfUybwdXAb+eiHvmcO7SJapV8eF+uobo+9Js88R2PmQmxjMh6VOEG+f52nYm8+MksaANhia4dZ1Ki4ivUe+awSqjalwweBJ30ZOgKaeooojlE9VxXlXtRpHpAG0/RqjRnbZ6B/qaqbExe/iggByclh8q2pjySY+aANnBaX6md67OqRvOeHSaQcBHO/K9ttbQnOVVjtDs/Hdg0HHYa1Tua0MauTEgfhKYWEtlSjIyLxGPzKURBKGpIAhHBEE4IwjCIUEQfAVB8BYE4YQgCFcFQZj+wL4fZG87JghCpexthe5b0qRl6biZmEHXWq70D/SA6/ugQvWXesSpnoctKZk6wm9LARh+PSRV40shpduxZ8SV+BT6/HgIgC1jmqE4uRRMbKBG93z7+f+n3mfnxXgAPuoXxLu6MajR8p5qPcoKVaF58Q3ii+KXwfW58klHZvfwL1ZAlZM6dOjaPfQ2laT6sRNLQV/wxvc03EvTkKbR42lvJlkx3DgEzSaA2oQPutTI3a9PPbfcujFBEHB3duQfQ1OW6jswUjuO+VbjISqUews70FIXynz9h+wXh+B4YAZUagatZxbZh2rO/x0oEZhnMkIaQFk9BDKTcl/5fMtl9off5Yc9kjH6++vPldybISPzgpOTrt/Y214KfnJU2z0aP+So0sXcWMX/OvgSOadziQRsOkN+j9HohHQ01XsiinBixQe8+dtxGn66i02nYzFRKxhR4RwTI4YixByHXj8zatR7hE5pxbHpbQAYsu42E5RT2Ok1CRcS6KMKZarhF0JNxrDM6HP6q/aQVes1ePcoBL0Htp5UcjB/ZHAqU35ZPaLg761pFQe+6FMbGzMjTn3QlndaVubUB2259mkn/FytmJveAdrNRry0iUabO7LJaBobXZYw6+4khOgjkpp/OddSkZH5L8Up9ogAOouiWAv4GZgAvA/MBqoB3QRBqCEIgifQM3vbR8Dn2ccX2LdkL0Hi+l0pZaeqk4Xkfxp1CLxbPItTvTD4ZauoXsm2+8C9Idh4wJlVpdirZ8fxyDyxiuqWWXBxIwS8WsC+pGMRPoAqpYLTBm/qZf2IT9ZvCG8fKrG0WiOV4rHk5XOITcyA+sMhNb7EBxZyFALdbc2kNGJzR6griUANb+rFdwMCaO5Tga/61ubItDbsm9QSyEuRbp7tn/e3vjnaPr+hTLrB90bzcNVGSYJSA/6QfAwfkV7498jGDG7sSZda0ucSmWkGfZdJs9+/94PMJDI0em4kpOc7LvRyHOnh++Ds3yUevMvIvGjk/H7+fKuRtOHGIVCoJf2BMoqDRckGcv8d8LqVnMlnR3X8pm/LYOUO7ocfBmD7hXhG2x9HvWaolDUyYi/U7IOZkYqKNqbYm+f1a82pm7xxsQ7NNN8x0XsDnbNm86F2EK9ppvJVnZ2Y9pov+YzLyAANvOwY2NAj3zYX67yBaVtzIya198XW3AiFQqCBlx1nbyYR7TuMYN18PtQOAqCmEIGQlQQt34da/Z7rNcjIlAUemeIrimIcgCANb1YHzgOjgbdFUdQLgrAJaAFkAFuyt20Bvs9uokUh+14o6QuJzK4p8bQ3l9TOdBng9XIHqDkm04k5tgOCADX7woFvISUeLJ1KsXclz70c/zuAsN8lz7B6Q4t17IJX6+Qu61GiFx+y83Ng2bAGDFl8lG3nb/FGUFuw9pAEjPx6lNg57qZK3wt3XaSkdBw8DVR5itDdAyrSPUAK0O3MjXK/T0OaVOLjTReY06smv+6/zuLQ63TdbsnNrLkEK8Lo3qQubTr3LnY/6leyo362ivCdlEMcvpaAxr0jRr0XwZrhiL91p/G1kSRiycS2VRGiDtA742+sbx/D9Pfs7/bxJdB/uTzKLPPSkqHR57N24vo+KTgtg/7CCwfW5X66pkiBvyelZTVH5vYPICFNw0ebLpCapePq7VT+1vWjvfI4Pxl9y8+6zmhRMSrpN+kZYeBf+f7ugeR76W5nSnRCnvBUs6oODGjowdAL8bzStStWKVkMb+ZVov2XKR+YZgtftanuSD1Pu3y+9f+llps1S0IN2XWntoQ69WXQa3NAVmiWeckpVg2qIAjvAVOB08AHwBRRFHM8XW4DrkAacBdAFEWdIAhKQRCUgHkh+5Y4Ufek2RVPezM4sBcERbn3P30UNqZSQJGvJqJmP9j/NXcO/0mFtuWnpuFMTCL7wu8AsH9ic/h9Ong0gQqFm4+3q+FEUoaWI9mqsxbZyr6/DWuJuIl8AAAgAElEQVSQq8hXmvhmzwR8EnKRN5p5Q4M3YccHcPMEVKz3xO1uPB2LqVpJmxpOuX6Jbud+ACML6RzFYHDjSgxs6IlSIWBpIr1vl26lAGb4tx+GSox+eAMPobqLFUeuJ+Dz/hZAzUyfTxhycyZbjKeyVR9I70t3sLpzEp25C8v1LTGq0pxX/cwQtk6BRW1h0DopS0BG5iUjNUuX54eZdhdiT0Hw1NLtVBF0KiKLpSToUaci4dlZQ4npGs7HJmMwsuRtzRg+VC9lpno5ADqXeigG/FEgOM1h/+RWgFQ+ZKpW5mbA7JkYjLudWZH+4zIynWu58OuB64xr64PfIyyE6nnkH1Rd8Gpd2T5IRgYQRLF4U0XZM6hjAX+gkyiKLtnbRwAVgRRAJ4rit9nbYwF3IOa/+4qiOOM/bb8FvAVQoUKFeqtXr37sC1l0Nouzd/XMbWlGnZP/QxD1nKz31WO3U94YulWaWXa3VPCKrxHh9/UMvzEJHQp2+X1Jpk4kqGLRQkvPgtTUVCwsSu4P8E9nMjkUK9Vf+Tso+cL9MDUufsv5GpO541i0SNbdDAMT90oj5NMbmlDVVkmGTmTUznSq2yn4X4PSm3kQRZHXt0mDLks7mKPUpdP40Bvct63Fef8pxW5HZxCJSjZQyUpBskZk3B7pehu5KPGwUnDiSiQ7jf9HtHsPrlUe8tj93BChYW143gDI0g7mT/X56gwib2zPn8pbV7jCu6r1NFWeR29sQ7RHT6IcWvPm7jwF65WBkdS/MBuNkTWn6nyG1sjmic4vUzxK+jcs8/R8EJqBnYnAuHomOMbvocbFbzlR9ytSrB7fU/RF/3wTMg2M35M3+1nBVOBOhvSs08UuDi8xisD6TTEoCw9OXwZe9M+4PHHuro6vjksZYHODTbExeXqrJfnzLf+Uh8+4ZcuWJ0RRLNQHrdgqvqIoioIgrAD2ACmCIJhkz4w6Is2MJiKlACMIgir7EL0gCIXt+9+2f0aqb6VatWpicHDw41wfAAsvHcLHBYIb+sLecGg6lidpp9yxVapbjE4x8M2JLHQGEXtlEO+rf2dcWCTXRRe6tWhATbfiGYWXBHv27Cmxz0YURYZu3Zy73q66PTUurQLnmvj1mfpQ39L7aRrYKynqNW0USHUXKT1uo28SPs4WJZ5+9riMzLzEj3sjqF63EU5WJiCMpML+bwj2dwOHog3k9QaRebvC8bQ3Y9el24SciWNKR18sbFSAJCx0Oi6NYA8LBqp/BBMrPPp/gccTCIr51slk7WeS4m8NFyuCg5s99ef7vvoan4RczF0/KfowTDuZkDcD8XOzx0ehxAcYq7zC3J3hAMR5d2e/pRvBR0cQdO1rGBoCJlZFnEHmaSnJ37DM06PVG7i1Yyud6lQiOLg6/LUMzB2p12X4Y3k35/Cif74ZGj3j92zNXXe0teRORjIAvbt3o2U1x9LqWpnhRf+MyxPBwLqoPUTcSaND6xYl4o0rf77ln/L+GRdHxddHEISc/dojPeHuADpnp/B2BXZm/+uQva0TsD/7mML2LVFu3EvnVPR9/Ctaw5XtIOqhWqeSPs0LT47C4UZ9YwyiQA9lKAAHrt4tzW49FTmemzm8lvQTpN6Crt898sHM1CjvJpCT4gtQ08261INTADtzaWa7UXYAeM37NQxKIzj43UOPO3o9ge92hTN+9WlCzsQBMGfLJeat389npisIM36TiybDGHm6H37CdYRu859Y7drZ2oRNo5vydnBllg4LfKI2/ssbzby5/lknTn7QNl9NnZezXT4v2rFtfPi4hz8A41ad5vV/Veyt/RWG+AuIf74C2swCbcvIlEeSMrRo9SKuNqag08DVnVCtwxMFp+WBB/+2Q15NIEiWIDIyZY117wSx8q1GJRKcysiUB4pz9+oAXBAE4RQwEJgIzAImAeHABlEUL4mieAtYAlwGPgZyzCcL7FuSFwCw+VwcWr3IG8284OIGsHAG17KrXFjaxGPHAYM/7yrXsd1oEsGnJ0LqndLu1mOTodEzZc0ZAJYMDeRgLy12V/6CpuOKVadprMr7+tualz1bgJwblSjCqRv3afXTRX7PagZhf0LC9SKPm7PlYoFtgcIlthn/jwHCdrRerflC259p2uG003wBNbo9VT/9K1ozuYMvjpYl50kqCAJ25kZ83VfyoHW3M82rr3uA7gGuPFgKNjTUlrFZIxCiDsCq10CTXuAYGZnyRnKGlGZvZaqCqAOQlSwP0j7AmDZVGdzYE8jWqZCRKWNYmahp5G1f2t2QkSkzFEfFdx4wr5CXGhWy7wJgwX+23Sls35Lkyq0UXK1NcDXOgvDtUH/YSztyXFwma9/i8wpbMUq+Qf37++CPvlJapJF5aXftkYiiyN8nYpj095nckfHGrgpMNv0PHP2gxf+K1c6DvnsPzqCWFYweUP7rufAgAAt0PXjN9KAkCvTKSkmZ+T9E3ssflM2tEU7HiE9JULsgjFyHpbU311aGsfX8Lca0fvz6tOdJNWdLLn3cId9gwoNYmaj5j/UhGwxBmGmz+CxiMcJv3eCVVWAu3/hlyi8noiSLLSsTNVzaDCrTl17FflwbH7aev8WWMc0AyR92XBufMpEdIyMjIyPzcF74KO58bBJrT91ErVJIs6d6jaRUKwPA1I6+BbZVtDHlFvasd5vMK1lTGakZgxgbBmvfAoOhFHpZfLJ0erymbmbS39LMaYZWT2Nve0x2ToP0u9BjYZGqjC8a7fycC2yLx470ZtPgylYMe78o8HmtPRlDUoaWsW2q0reeG3WFK3S//iFKjwZYvrsbHKpiolby46B6RM7pzLi2Ps/rcp4YE7Uy32BCcVipb8V39jMQb52F+XXhyrZn1LuXgxNR99HoyvbfhpeZnJptU7UCLm+GKq3B6OWeKRzTpmpucAqSz3VZzJSRkZGRkSnICx+gjl0ZBoBSEODMarCrXKaNyZ83I1pULrAtqIo0m5SSqQNgl6Ee0YHT4NImuLLlufbvcZkdUjB9taV4BM6sgmYTwTXgsdpb8nogW8c2e/SOpYCduRGBlQoawLfa78smfSMUez4leX4zuBue+9rHmySL4XY1nPmyqxdrnJciWLujem01FjZPVmf6ovHnm1LCxtwYH1b5/4Teyg1x1WsQ8W/uPqIoMnL5Cb7dcYXrd9Pk4KsIsnR6Kk0JofcPB/l+99XS7o5MEeT8nWhkEgPJN8G3cyn3SEZGRkZG5sl5oQLU+2kaIu6k5q7fS80i/La0vryvG0QegFr9Ck17fJk5PaMdH3bzy10PzlYwbORtx56JwQCsVHQCa3c4/ENpdLHY/HYoKt+6nxDJq3FzwCUAmk987PZaVnPE17nsqr0uH96wwLb4FA3vad9lvGYk2oQbGJZ0gltnOXLtHvfTtQxp7EkNJzPYMBoh8Qb0+hmMLUuh98+Xq7M7EjmnM40r56XzTjmsps6N97hvWglWDoQoKVX6dkoWW8/f4rtd4bT8ag+fhFx4Pn28nULSg77EZZxf9+fVOkfeSyvFnsg8jBsJ6bSsVgHFlRDJA7xq+9LukoyMjIyMzBNT9grvikAURep8LFmCRM6RRoc/yp4t+rx3TSre+AsQoWbf0upimcXaTE2nmi7M3HAekEzSt41tTlVHCwzZPriLQqOZ3PEt2PEBxJ0Bl1ql2eV8HLl2j8vxKTSr+uAMoMg41d+8q1yPzswZ+q8A5fP1c30eFKXoZ0DBWkNzTmsqs8nwNaZLOpHp/ymmmPGm+X746U24fQHafgQez7QEvNTpV9+N1cdjUD1QszumdVW+2yXNLCdjwYc2H/NdxnT4rQfi4H/o9WdGvjbOxCQ9VR8uxCZjrFYQciaOAQ3cCxWMupWUSZtv9tHY254/33oxPpOdF+NzlxPSNKXYE5miSMrQEn47lS61XKX6U48mcs21jIyMzFOi1WqJiYkhM7NsOgJYW1tz8WLBrMKyiImJCW5ubqjVxX9Of2EC1Lj/2Ikkpmv4JywWhQB9PTPg5y+hShuwL5jSKgP2/6m9qeYszagpEHinZWW+3x2BNmAQ6j1z4PBC6PljaXSzAHqDSP+fDwOgypZrbVLZno+s/qHKxXVs0Dem84glYO1Smt18poROaUXQHCk9ddeEFry57DitfB3RiyJLQmFLg9/ocn48LU68S5ixCuMDOnCqCX2WgH+vUu79s+eLPrX5ok/tfNvGtfWhTz03ui44QGK6ln9jBG6N/AeTZR2x+GMAVVJGkEUlZrZ2JGzPWlonRsDG6mBbCdwCoVJQsc+//tRNxq4Ky12/fjeNb/sXTDWfvVm6kRy6do+7qVk4WBiTmK7B2lT92DW2z4OkDC2nbiQCMCDQnbUnY3hjzq8Mq5KGa9ZNuO8Ftp7FaivmfjqOliYYFSF2JfPkhEUnIorQxC4Fbp+H9p+WdpdkZGRkXnhiYmKwtLSkUqVKZfIenZKSgqVl2c+OE0WRe/fuERMTg5eXV7GPe2EC1NspWbnL607FMG7VaQBGBHmgWPcWqE2h+/el1b0yj0IhYG9uRA3XgumsDhaSqFCaYI5NvSFw5CdoPqlMBPuHr93LXc7xcX2rwjmqhC3EUHsgLdrPRWlWvoUvKtqYYqRS8EZTLypXsODf7LTsDI2eJaGRxGGPf8wkBim34yzc580335NmTcvgH9TnibudGRveaUrzL3eTkqmj0dzTeAjjWGvyEcuMPpd2CoWuariW5Yzh7DkUmuwSgoYjocOcR76HSenafMEpwI4L8WRq9Q/YBInM2XqJjadjcbAw4m6qhoW7LtHK7BpX9q7EUUikS49XoNYAUJecVc/TcjDbH/n9ztUJTNrOKOXXeGbelpywAfG7n7lu3QizHl/j7OVXZDv3UrNo+vluACI+7YRS8XJ/L0uSlEwtR67dQyFAzVTJ11q2l5GRkZF5ejIzM8tscPoiIQgC9vb23LnzeHaWZT5APRaZQH1PW24n582g5gSnAHVvr4G4MOj3G1gWVD2VyeP4+20K/aHlWKykZOqwCRoLx5fA3s+l2sVSZPPZOBbuyS/MUkWIodm5D6FiPRRdvsFaXb6D0xyufNKxwDYTtQKlQuDI9QQ0qFmkl1Lf3/Rs/Ly7V2bxsDdj0ZD6DF92HIAbohNBGd/SWnWGeZ2dUFlW4JLoQYffb6PU6HmtpjnTrbdidORHcK4FdQY+tP2TN+7nW2+hOM274joUc4aCgzdUacPWrJosOqAGVKzo7cqGFXMZfHIHzsJ9ApVq7mIFG8cg7pmDIWgcysDhoCy9P81xSRm0+HJPrnBUP6tzWO36H2FUZoG2B0cM1REQmel5nrpxK1Evbw9vhoBL7QJtrT0Zw/jVeX+vd1+6TZsaTs/tWsozEXdSaf31XgB8nS0xDg+RbLbsij9CLSMjIyNTNHJwWjI8yftYpgPU3Zdv8/qSY8zqWiNffVkOlqQTFLsYvIOhRvfn3r8XjaK+IJYm0tcgNUsHdk5QdzCcWAqdvgQT6+fYw/y8/fvJfOtWpPGz+hsEIzPot7xMzTaVBoIgYGGsYt+VvFGpUcGlP+td1mhd3QkvB3Ou35VEfrIw4qp9MKrGkk+kj0EENqNHybKzmXh0Hslwj3Owbapk11HEwFd0QjqvLz0GwJZRdYhbPZ5WaVu4bnDij6ymdDMkYXNwAR1FHaeMTUk3csBpVQy+apEjBl9maYewz1CLdIxprLjAmKS1NNo6GfHMKoReP4NDlefy/uSg1Ru4fjeN8avDcoNTK1Kx3DED0cmfQTcnk6LPu2WMinHFUe/PGpPZmC/tCi2nQv3hoJIGjURRZNWxaACcrIxxSLnMtYOR4NEXLByf67WVR3KCU4D6lglw4xC0+qAUeyQjIyMjI1MylOmCoBv30gE4HZPEnQdSfAEC7DR8o/4BE10KtPmwNLpXbrAwloqWU7Mk2xlq9QN9FlzcVGp9ytTq8633revKt+qFuAt3EPotA+uKpdSzskUjb7vc5YhPO/G/DgV9b2Vg1/gW+dZtHkgLVygE1oxqjLudKS7WJnwcconkdt+ANhNCJhTa3s4L8TT7QkpbrWKppfq2gbRK2wpBY0ketp9ZuqEE35nAK7Z/MkIzlt3GLXGqWheCp2B47zSb6i7Csk4vmvl5AgKHDH4M0LzPaM276O5ehR+bwtFfIFvE7Hkw/9+rtPt2H+duJgPwVd/a7PLbjpB2B6H7AvZOzT+Ln6UzEC060SvzfbTOtWHrFDLm1uWf3xfw7fZLeE3dzJHrCbxdW8kRr0WEGE/jrZhp8FVV2C3XST4poihy5IHSBxAZkLwY1GYQ8PAZfxkZGRmZl5s5c+ZgYmLC8OHDi31M/fr1iYyMfHadKoQyO4O698qdXNVZc2MlV+JTcl/rrjjAV5rfEJSZZAbPxOwxvS9l8mORPYN6834Gl29FMbBBXQTbSnDu70emOD4r3vzteL71Lz2OwIVTfKAdysePIWBT3mnl68i28/F0quks1/Y9BIVC4JMe/hirFEz6+wytfPPP4NXztGP/5FbMDrnAL/uvM/HfNH5uORV2zpKUUX2lur5+Px3i6PWE3OOM0bDFfh7En4MBf4BvJ2oD9T1tOR51nyOxUMutLa3e/ACyU+kVwMc98s6dlK5l+LJjDGrsyZiVAk0aduOVuC9g80S4FAI9FoKV6zN+h+BiXHK+9T5WFyHi72x/4TrYARc/6kDM/XTafrsPkITLYgyOVL08gkmVO9MqegHdU6eTdGU2zY0qEik60z38CCjVXK89gclHzVlY7SQV9n4OrnWhWodi9+92ciavLz3G+LY+tK7+cqUJZ+n0GKukmuZt5+MZueIEAG8EmFE7cjH+SXuh9QywKr9icTIyMjIyT8+UKVP48ccf+e6770q7Kw+lzM6gnolOzF3WG8Rcv9MuikN8q/6BLAc/VO8exix4bGl1sdyQU4M6dlUY768/x7GoRKjeDa7vh8yns994GBdikzkQfrfA9vfXn2X/A9vr2mbCv59wVFmHWz6vPbP+vIj0qFORMa2r8nbw800HfRF5rZEnfeu7s39yS4YFFV6nN7p1Vep62LDzYjxJASOgQnXYMhlSb3Mi6n6+4FTAwNm6G1HfOikpJvvmidPU9bTNXR7ZonLub6wwrM3U/D2qCd1qu2KqVjJ1x10qnXud0wEzMdw4DAsbwfn1JfAOFI1GZ2DHhTxLmYqmWtg4Fir4QovJudtNjZRUdbJkfiszJrWvxs7cmWmBLyPc6az5jHc077FJ35gKpgJdlYfIrNoVRh9H2Xwix0Rf9vp+BE7+sGE0pBX8/RfFB/+c43xsMsOXHSfkTBwdv9uP34ytvPrL4SItcBb8G06bb/YScz/9id6X0iBdo8vNHkpI0/DZlov4z9zG3ydiuHo7lX8vxWNCFsur7mf61VfomrkR6g6BoHGl3HMZGRkZmZLko48+IiAggMDAQA4ePMjSpUsZOnQoTZs2pW7dumzZsgWA27dv07FjRwICAhgxYgQAkZGRtGrVii5dulC1alUmT55c6Dlq167NxIkT8fPzo3Xr1mRlSRmrs2fPpkaNGnTp0iWf1c7MmTOpV68eQUFBREREEBMTg6+vLxkZGYSFhREYGIjBYHjqay+zM6j3HnjgSNfouZuaRbDiFN+qF3JMrEbdoWvBxKIUe1h+yKlBzeFuahb4doaD8yB8B9Ts80zO22nefiDP1zaHFYdv5C5/0sOf3tGfwqUsGry9iEA772fSlxcVY5WScW19SrsbLxTudmZFvmZlomZcWx8GLTrK+VvpNOm+AJZ15ca3rXkrbSog1WRbk8oO71UYXdgl1f1V75KvHb9stewRzb3pVLN4s1qCIJCRm9ou0P1wNSoJn7DZ/XfM/hoCSZ9Ak9GPfb3FYffl2wDYmqn5uIc/zcK/gLM3YfgOUBkX2N/SSOCd7EGRhQPr5taLG1AQYmhEiKERe94MxsjeDKPs2ncXvXTD2nDhHn16/Qw/tYCtU6H3L8Xq45X41Nzld/6QzldbuEr/G1vJ+Ckd/JpC43eI0lqz4nAUpkYq5mV74Y5bFcZfI5s8yVvz3Jn01xlCzsahECBbuBwzMrmy9hNcFGfoLKiZYXYNi+hk8O0ilbg853plGRkZmZeJDzee50Js8qN3fAxquFoxs2vRCviHDx9m3759nDx5kps3b9K+fXsmTZrEuXPnOHz4MOHh4fTo0YOOHTvy4YcfMnnyZFq2bEnv3r3ZtWsXlStXJjQ0lIiICBwdHfH09GTGjBlYWOSPnZKSkmjQoAFfffUVPXv2ZNeuXfj6+rJy5UrCwsK4desWVapI95hjx44RGRnJiRMn2LhxI7NmzWL58uUMGTKEuXPnsnfvXubNm4dC8fTzny9EgPpPWCxqdHxp/BNXRDeMB/+FWg5OSwx7cyOqu1jlpvidj02ik18gmDlIKYbPKEAtDq96paPYthoavQ32lZGTWGWeNdVdpODyo00X+Lx3LWq/upoKS3ux0Xg6X2v74eXmwsj0n1DduiNZ0TQcWaCNrrVcsTJRU7+SbYHXHsby4Q0YtOho7nqk6ELAjTGcqbUGk+3vE7ZrJRGO7ek9eDSYPl7bD2Nn9uzpureDqEQsrPsNAoeDe+Ajj+3o78wXfWox+e8zAHzcw5/ohHQqOZjn20+dLXS378od/m3iSatmE2DvHAh4BSq3eug5RFEkNjGDyhXMibiThpcQxwTVX3RRHiZBtCAisSJOhxaiPPozCTZtybrlwCmDJ9UEM6oLN/CLieTQojU0rlUdPBqDU9EPBaWBKIoIgoBGZyDkbFz2RgM1hUj6K3fziukRlNpUzhs8MSBwu0JjLDqNBc8XI+iWkZGRkXk8Dh8+TLt27VAoFLi7u2Nubk5cXBxNmjRBpVLh5uaGUqkkMTGR0NBQ9u/fj0KhIDU1laioKCpXroyPjw9ubm4AVKxYkXv37hUIUAFat24NQOXKlblz5w6ZmZk0a9YMIyMjPDw88PGRJkJCQ0PZtWsXAQEB6PV6XF2l8qMJEyZQr1496tWrR+PGJeMkUSYD1NQsHRtPx+JhZ8aNBCnVqZ3iOBWEZG63/JaAKh6l3MPyhUqpYNPoplSethmA73dHICAwsVpHuPAP6DS5ypwlhcGQJ/4SOHsn+ye3xEStJDohLxXv9Iy2KP4ZKol/NB1foueXkSmKHF/gS7dSGLz4KJ/3rsUPmveZo/6Fr41+hNuArRe8sQNc6xTahkIh0NL38ZVqm1WtwOGprTFSKZi+7ixbzt1Cg5q2N4bwnq0Tde9tonfc14hzf0ZoOR0ajICnHKlcfOA6f52IAZCCytUfg8oEWvyvWMcLgkC/+u509HfGIIK1qbrIfWf39Gf6unP8ExZLqz7j4cwqaRZ1xL58M7XRCekcuHqXAYHuCILAlfhUsnQG3q2RSbMbP+EQt5cswYT79cfxeWJbVp1NxF2IZ5RqE30SdlBHnT/lN1NUY3RDB9EiIEhiQq1ngGXp1bKejUmi64ID1Ha34XR2ScubzbyoLkSxsNJ+7GN3YyVkoBGMUNboDYFvMvKPJKITMljRpiHeng6l1ncZGRmZl4mHzXQ+KwRBQCxEKPHB9NkHX9+2bRsuLnkZW5GRkRgb58+AKqw9IN9+he3zoAvIO++8w9SpU/O9npGRgV6vf2yv04dRJmtQp687W2BbbeU1sPHEr3nPUuhR+ee/AjsLdl+V0nyzkiFyX4mf73RMXo3xnZQsLt9KQRRFNp2RZg+WD66F9Y7xcDkEgsaCuX2J90FG5lEkZWgZueIEp8UqdNF8Sresj2HAnzAqtMjg9GlxtjbBztyIH16rR8SnUl1rdGIWk+Ja0lrzFV2yPiHKrCZsnQLLu3M3NpJZG85z6ZaUAWEwiCSla+m5MJRKU0JyLWMKIzlTy0ebLgDwVnNvuLJdGpQKeu+xrWAsTdQPDU4BBjb0pK6HjVRGoDKGjp/DnUvot+W3Rxm3Koypa88yblUYtWZto/3cfQQKl+h2fDD2908THTAO9dgwbDvPYkLXetTztCVadGKadjjVMhbzttMfRLRZhK7XYhh5gM/q7KJq1m/8GbSFW/5vIJ5ZBb+0grvh+c4rimKRN/CS5HZyJl0XHADIDU5BJPPgT6w3mkGl+wexqtuHM4GfoxlzEXr+CG71+G1YQ95rVYUGXnZFNy4jIyMj88LTtGlTduzYgcFgIDY2lrS0NFxcXNi3bx8ajYaoqCj0ej02NjYEBQWxfr2kVZGVlUVaWtpTnbt27dqEhoai1WqJi4sjPFy6VwYFBRESEoJOJ7l+3LsnKcrPnDmTCRMmYGtryz///PNU586hTM6gnrspCfMoFQIfdvNj5obzLDJ9nbdGNQSFspR79/IgegcjqM0lu5kqbUq07W92XMm33v37UAAaeNrSXnGMplsnQfJNSUG0+cQSPbeMzKP4a2Rjhi09RkqmLnfb262q0bdeG7Avuoa1pFEqBI5Oa81fJ2L4cttl1owK4uNNtgRHezGzYmOGxvyAya9NqaOtye9Hfflo1ue0m3eIq9micrYkM331YVINxoxp4oCvk0W+wZ772aUUX/apRV8/S1jYSxKGavrsBHci7qSRlKElXaPDuEo7luk6MOzYT8Tb1MQpaBBR99I4HnUfgPVhsRih5Q3ldsap1iDYeCC8vgV3iwq57TlambBmVBMi7qTS+uu9iCgQLZ2p3LRe7j4f9oBlh2OYuus+0JKODjX4QTcbFneAQevApRYfb7rAogPX8a5gzr8Tgp/Z9QMs3BORu2xloqJHDWv63fwM/6Q9XDBvSI23/wRze2r95zgvB3PGt6v2TPsmIyMj83/2zjs+juJs/N9Rb7bc5Cp3G/ciN3A/ug0B01tCQgIv75sGSV74hRISSCCBEEhCCS2UlzQSTAgYcMWc3IvcbdlylSzZlmTJTZasdje/P/budHu3e7d7dyqW5/v5yL7dnXlmdp7pz8ysovWZOHEil19+OTk5OSQlJfHGG6JRcDsAACAASURBVG9w4MAB+vbty6xZs6isrOSll14C4KmnnuLee+/ljTfeAODf//636T7QZ599ltLSUh588EHefvttQzeDBw/mlltuYfTo0XTq1IkJEyYAMHnyZObNm8fEiRORUnLfffdx2WWXkZubywsvvMAVV1zB3Llzufrqq0lJSYnq/dvkALXIc4LhA5cPoVdmKgBDu3eA5A6tGa0Lgo4pCXzv0iE8u3APm4+eY+LQK2H3p9pyuLTYzNrXuySr9mund/bvmubTdwY13HP0D1yTtAFSR8ONb8DAmTEJU6Gww+QBXdj+i6v4zcI9vLniIACXj+hBvxYcnHrp3jGF7186hO9fqh1S8MTXRnDza2t56shEcm7/hNOfPcGkuALmiTWce3UNgyvmMjgObkpYxRUiD1kgOE06XfdXIUUcYuQ8uOJJZKf+vLx8PwCdUxM1i+zZMrjjb4YHI8WK0+caADhUUU1Wh2R+3XgXo+IKyVn2vxR3Hsrs9ytJpp7b47/im/FL6SUqSRd1MORKuO6P4Dc49WdwVgbXjevNgm1HmTc++LM8E/t3ZpNn4Luwogfyfxci/nIDvPc1Ci59nbdXaZbTg8ercbslcQafbSqsqOb5JQV83zGEkZ6DsCJh55HT9OmUyor/dynxJw7AB3chz+ynePLjZF/2IKQ2X/orFAqF4vzg0Ucf1S2nPXDgACNHjuT555+nqqqKDh20cVG3bt0MLZd5eXlBvx955BEeeeQR333/75v+7ne/8/1+4okneOIJ/eomgIcffpiHH35Yd2/Lli0A9O/fn/z8fDuvaEqbG6CerpOkePYn3piTTaPLzT3TBnBDTp9Wjln7Z+2jl5GWlECjy60NUItOMWbqgyTs/oxDb9xJ9nc/Jjkl+g76iVqJlPDI3OH8z+zBTHlmGaLqGH9N+g0DxTHmd7qXW+5/DuJDLxdUKJoTIQSPXTOCmyb04cvd5YzLzmztKAHaN1u3/eIqxj21hFvnV9DgeoBemSmMrlrFs6ff542k3wMgUzqxNvMuNh6poTunOCh7MbWHm8v2fgoFCzlw8dPM39SbjlQzeuezsPsf2r7TPhOaNf7P3zKWh+dvp7bBzburC2kkge/XP8inyY+T+c8beTJhBtfEb6S7OElD70kk9r0ehs2FQY6wsl++M4fnbxlLSmLwSpvXvj6Bl5fv5+8bDuNyS97ek8CkKz+g44e3MmzRnaxO7kqdSKXc3YFTn+TSJfsiGHoVdGo68+CJT3aycl8Fn28/xp5fzTEMJxxut2T3sTPcMjGb+APLYP53ID4R8c3/0HfgLNvyFAqFQnHh0BLbUNoCbW6AWu8Cf6NwQnwcT17ftk5cbK94rdUAPTomk1d0gpr6TI7V38Ozp/9M4V/uZ8B//TXqcKobtMI1rIc285OV4ubXdS/SS1Ryd8OjlLmmcIsanCraCMN7dmR4z8itZc1BZmoicQIaXFpZunNKP15ePpmZNaMZIYp4+ztT6TRgPN1PNrL18918e/pAHn1nA28dhWX3/YT+uT9myOqH2J6cSoaoI263WztwafYjYUKOnv5dtdN9b35tje9eBZncWvcLXkv6A/ckLME9YDbMfojEATNB2Du722zQ2L1jCr+6YTSOYVnc+395PP35bgA68DS3xTsZGVfEnGGZnNm7m8ztb8O2RkDA0KuQE75JzYAr/L7PLPnOi//k91/LpkdygxbHrkN0g9m6RhdSNsXHe1LvvvKzVNe7uK5hMfz9GegxEu74u86vQqFQKBQXMm1ugKq+I9I2GNOnE1/tOU7ntCQ+cF1GtjjOD458AqU7oOeYqGQfOKUd2pKZlghS8su65xgjDnF/w09Y6x7Fu9eOjMUrKBTtms8fmMncP2rfEr5lYjYVZ+t4f20Rm+QwModcAkIwpDu8++0pACx8UHN/xZ/3M6DTg9yaOoaMqgN889Jx2ndcm+nQp0DSk40HkEfI4qb6pxiUcpYl93y92cK/bHh33vv2ZO55dyMAVaTxtusaLh/anRvvmsQNj32BwE0/Uc6CWcWk7/gr8fsWU+nO4v74K5jbz02P0q/ofa4cPtTLPpQygi2d5zBrzm3MeW0ro/t04Oc3TeKXH6zEdbKQNFFPD3c5ryfmM2nnRm1v/63vqe0rCoVCoQjLPffc09pRaDHa3ADV5Vne+/o3JoZxqWhOvja2F8t2l/HBxmIA3my8lvuTl5G04ndw2/9FJXvdMe3gmd6ZqbDzIybW5/GLxm+xLvFiVjwws1X2+SkU5xsjenWk8NlrfdePXTOCWUOzGNw9Q3ckvL/7uy/pz1/WFVF4qpHnmcWtE+9CXD6uJaNNelJTs5OSGEeHlER+e8tYcguOM3d0T8b17dSs4QshcAzrzq6nrub/zd/OZcO7M2VgF7plJPv2nUriKJI9GZvbkwRyuDxuC/+V8DmPJf4Dd3kyDQNn8VhBP47IblTLZOKQ5MTt50b3Km6q/T28+3vyUoBK4C14D5pa23ioEukw+1GY9bA6+E+hUCgUigDa3AC1wQ035fRhzuierR2VC5rJAZ8xOEMGm3rextT896AsX1uWZoCUkucWFeAYlsUlg4w/DSOB0X060jMNWPYUR1OG8n7tlbx4yyg1OFUoIiQlMZ4rRob+ruevbhjNk9eP8n3zOPDzUi1B/65pPPG1kXROS+TGnD64pRaPS4fZ/25sNKQnJ/Dq14P32/79vovZWnKK3y4qAKCRBBa7J9N3ym2kD6hjxEUXkZyUztV7j/OtdzYwqFs6fTqn8sa+Ebzh+hqDxVEmxxUwtX8HNhadIpU6bp42ksZOA1iw6xQDhwznhhk5kNTmml+FQqFQKNoEYVtIIUQ28CYwAKgA7kDbJvohkAm8K6V8xuP2CeBbwEngVilloRBikJFbM1wSsruoQUpr06dTqu9ETC8vVF3Jh0kfIpy/gdv/Yuivsrqe13MP8HruAfY9M5eEOKGz5kgpOXbWzS0jOkHe23D6MB1v/zffLerDVSPVpIRC0dzExwn+eu/F/PhfW3nwiqEtHr4QgntnDGyKTxvb1jFtSDemDelGYUU1/8or8d3/2df0k3KzL8ryWbBrG1z86rN8vj19AAO6puOSkuSEeGbX1JOZmuirA0dPb7n3UCgUCoXifMX4Izl66oBnpZQj0QaaPwZ+BjwDDAOuF0KMFEL0B2703Psl8JzHf5DbcAGO6Kn247QFpgZYQPPK4aUaz2dnjm039HPsVK3v99DHF/Lkp7t0z/+6/jC1LhjTMw3Wvgr9Z5Ax4nL+35zhpCcri4JC0RLMGNqNjY9foTsYTaHn1zeOYfcv5/DRd6fy4f9MDek2JTGeZ24cw5DuHUiIjyM5QVu22yktyXC5tUKhUCgUCnPCDlCllMellCs8l4VAZ2A28IWU0gV85rm+FFjoubcQ8LboRm5N6Z4m1PLeNsJYv89qeAerbzdeAymZ8NWvDf0cOVWju/6/tUW+38v3lPHEf3bSMQlukUvgzBGY+eNmiLlCoVBER0J8HKlJ8Uzs34XJA2LzDWiFQqFQKKwihOC5557T3XM4HEyaNEl3b8qUKbz//vu+6//85z/k5OQwduxYLrvsMsrKygDYuHEjo0aNYujQobz77rvN/wJRYNdkdSuwAPialNJrKisHegPVaEuAkVI2CiHihRDxQLqBWx1CiPuB+wGysrLIzc21/SKK2FNV3/StpWmdz7IWOEM6B3pdx+C9f2Xrx3/kVOdx5JU2UlbjZnS3eH6xpjZIjtPpBOC9LacYLMr5dtcixJLXOdE5h+3F8VDibJkXUrQIZ8+e9elc0T5ROm7fKP22f5SO2zdKv9GTmZlJVVVVq8Zh8ODBfPzxx3zve98DoLKykjNnzgDgcrmoqqqiuLiYyspKPvjgA2688Uafvy+++IKMjAyeeeYZXn31VR5++GEeeughXn/9dYYOHcrMmTO5/PLL6dy5c4u8S21tra08aXmAKoS4BugHzAdeCnyMdvZN4D1C3PchpXwTbZ8rw4YNkw6Hw2q0FM2I2y354XLtMJVpUybywibtu4U9bnkO/ryK8Uf+Btd/j3seXwLAh3sb/HxLfpXwLjfFr0Tmj6ai6hzvnCsgIdml7VDuOZYu3/oPjtTmPbFT0fI4nU5UGW7fKB23b5R+2z9Kx+0bpd/o2b17Nx06tO6Ww+zsbOrq6qipqaFHjx7Mnz+f66+/ns8++4z4+Hg6dOjAokWLuO+++3jrrbcA6NChA2PGaJ+DbGhooKioiNtvv53U1FQKCwuZOXMmALNmzWLXrl3MnTu3Rd4lJSWFnBzrn7OzNEAVQgwBngWullJKIUSVECLFYxntjmYZPQWM8LhPAKSU0mXiVnEeEOd3wmeHlKas8u66Y/xwznPwj9txr/0TMETn79aJ2fy851o6fLmMFa4x9Cw/TpU7mc/d13LR6ElkU8mImx+DxJSWehWFQqFQKBQKhcI+Cx+B0h2xldlzDMx9Nqyz6667jgULFnDfffexYMECHnvsMT777DPf8/nz5/Pqq6+yb98+FixYwF133QXAI488wltvvcW8efOYN28ex48fp1OnJqNQ9+7dKS0tje07xZCwe1CFEB2AfwDfklIe89xeClzrWcJ7HbDM8zfHc+8aYGUIt4rzjP5+n395Yeleyno5YPjXEF89zTBxWOd2WFwRHZw/p7zHTL7V8FOuqn2Wm+uf4vnGO6gYdCNlPS9Tg1OFQqFQKBQKhSIEN9xwA5988gnV1dXU1NTQrVs337MjR45QVFTE+PHjmTt3LvPnz/c9e/bZZykrK6NTp048/fTThgf2SRm4yLXtYMWC+gM0E9m7nperAeah7UV9HnhHSrkHQAjxLlCAth/1Oo//J43cKs4PXrxtHB1SEklOiOd3t47joQ+3AbA0v4xvXPcSrlem8LuG17ml/knqSCIONzcU/QZSMsm6+x0Gv7mb/eVnAZgysAuXj+hO/qaDrflKCoVCoVAoFAqFNSxYOpuLkSNHUlRUxEcffcRVV12le/bRRx9x5swZBg4ciNvt5sSJE1RXV5Oeng5AQkICd955J08++SSPP/64b/8qQHl5OdOnt91vn4UdoEopfwP8xuDRJQZuXwFeCbh33Mit4vzgpgnZvt+zL8ry/f7Zf3byjUuuZe2InzFz84/4POkxlrgn0UtU0u1MPtz8NiKjO0/fEM/3/7aZP96Rw4yh2qxPfou/hUKhUCgUCoVCcf5x9dVX88gjj7Bq1Srd/fnz57Nw4UJmzJgBwO23387nn3/O2LFjGT58OACLFy9m9OjRxMXFMXLkSDZt2sTw4cNZsWIFL774You/i1WsfAdVoQAgq0My+b+8Wnfv7jXd+X79A/Tp2Z3vJn3BjfGrkRPugdE3A3DJoK5seuJK3+BUoVAoFAqFQqFQWGPevHl07dqVQYMG+e6VlZVRXl7uG5wCfPvb32b+/Pm8++67jBgxgpycHHbs2MGjjz4KwB/+8Afuuecexo4dy2OPPUZmZmZQWG0Fu5+ZUVzgpCUlcMfkvnywsRi3W1u7/rn7En5335MI0QAiDpGQ1LqRVCgUCoVCoVAozmO8n2WZMWMGO3ZohzQNGDCAvLw8qqqq2LNHv2tyzpw5zJkzByDo+6kAQ4cO9clp66gBqsI2fbtoByb9r2c/6p1T+pKaFA/Et2KsFAqFQqFQKBQKxfmOWuKrsI3XcvrxliMA5PRtmY/8KhQKhUKhUCgUivaNGqAqbOMKOJa6Wwe1pFehUCgUCoVCoVBEjxqgKmyTlKDPNulJaqW4QqFQKBQKhaL90Ja/E3o+EUk6qpGFwjb3TBvAqZoG7p81iC92HGPygC6tHSWFQqFQKBQKhSImpKSkUFlZSdeuXRFCtHZ0zluklFRWVpKSkmLLnxqgKmyTlpTAY9eMAOCbUwe0bmQUCoVCoVAoFIoYkp2dTUlJCcePH2/tqBhSW1tre9DXWqSkpJCdnW3LjxqgKhQKhUKhUCgUCoWHxMREBg4c2NrRMMXpdJKTk9Pa0Wg21B5UhUKhUCgUCoVCoVC0CdQAVaFQKBQKhUKhUCgUbQI1QFUoFAqFQqFQKBQKRZtAtLUjlIUQVUBBa8dD0ax0AypaOxKKZkPpt/2jdNy+Ufpt/ygdt2+Ufts/7UHH/aWUWUYP2uIhSQVSykmtHQlF8yGEyFM6br8o/bZ/lI7bN0q/7R+l4/aN0m/7p73rWC3xVSgUCoVCoVAoFApFm0ANUBUKhUKhUCgUCoVC0SZoiwPUN1s7AopmR+m4faP02/5ROm7fKP22f5SO2zdKv+2fdq3jNndIkkKhUCgUCoVCoVAoLkzaogVVoVAoFAqFQqFQKBQXIGqAqlAoFAqFQqFQKBSKNoGtAaoQIlsI8YUQIl8IsUII0VsIMUgIsUkIsV8I8bif2yc89zYKIQYIIboKIbb6/R3xd+/n71ohRIHnb67f/fEePw6TuBnGw/MsSwhRYeZX0UQ0Ovbcu9ij321CiB+YhBGpjr8rhNjtidsDfve7CCFWCiGejE0qtF9s6tcwXYUQ3xBC1IUII0i/QohZQog8IcQuIcRfhBCGdY+RbCHEGCHEck++ui+qBLgAiEbHQog4IcSfPH7zhRC/NAnDSMf/LYTYKYTYIYT4WAiRZuAvKB5CiMcD2obaZkmYdkS05VgI8YwQ4oAnvRebhGFbx6Hyj6qnrRNlGY6qr+V5dpkQwh0ifkb19EtCiO2eer7dfvoiVsSgDEfU1xJCXCmEKPPLH30N/JnFQ+nYIlb1a+TOT0YkfS0r+g3qS4u22A5LKS3/AVnALM/vHwLPA+8ANwHxwHpgJNAf2Oy5dx3wTwNZ84FJBvd3AX2AXsBetEH0CGAjsAhwmMQtKB5+z94Dcs38qr/Y6dijp3Fo39h1AoNjqONrgFTPXyGQCSR64vQ28GRrp19b/7OhX8N0Be4GPgSKQ4RhpN/JQD/P84+Aaw38Bcn2xGM3kNPaaXe+/MVAx2P80n4/0MeijocBiZ7n/wd83cCfaT3teT4KWNDaadjW/2Kg49e9/kOEEamOg/KPqqdbVr8Bsiz3tTz3U4EvgCITeUb19BTgS8/v2cAXrZ2Gbf0vBmU40r7WHcDPw8TNKB5Kx82j3yB3nt+R9rWs6DeoLx3wvE20w7YsqFLK41LKFZ7LQqCzX0Z1AZ95ri8FFnruLQSm+ssRQnTzFKa8gPsDgFNSyiNSymNAMVqDuBe4GigNET2jeCCEmOPxd8jOu16oxEDH/aWU26SUjcACYI6//Gh0LKX8Qkp5Tkp5DqgEOkgpG9AGyCujffcLAav6DZGuX6BVgC4j+Wb6lVJulFIeDgg3ECPZDmCTlHKL9be8sIlWx1LKHZ6fvYE6tLLmI4SOC6SUDR6rWj9gj0H0DOtpP+4F3rf90hcYMSjHXYAKM/nR6Ngo/6h62h4x0C8QUV8L4BfAy4DZCZpG9fRZIF0IIdAmjk9aftkLlBjoONK+Vsiy78GonlY6toEN/Rq5gwj7WljQr1FfOsBJm2iHo9mDeiuwGEiXUnpNweVAT6A7ngTyFJ54IUS8n99vAP8wkOnz5y9PSumSUp4IE5+geAgh0oGfAobL1BRhiUTH5UKIiUKIJOByggci0egYACHEUCBBSlniCb88ordThNKvYbpKKSs9lasZhvr1XgghEoG5wHKLskcDLs/Sl41CiFnhX0vhh20dCyGShBA70VZIPOrnz4upjoUQfwGOASullJsM4mMYD4/fROBa4FNbb6iwrWM0q8xfhbZc938NnkesY7P8o+rpiIlEv15s9bWEEOOBbCnlQjOBRvW0lDIfWAqsAx4DHgr5RopAItFxRH0ttLL/Y6Ftt3lbCJFqIDsoHkrHURFSvwbuoulrWdEvENyX9txrM+1wRANUIcQ1aLOn8wmeZRMm9/z5JvBXA9FGM3aBfs0wCvNp4LdSyhqLMhQeotDxfwOvAV8BJ4DqAHfR6BghRALaUhejTpXCIhb0Gynh9Ps08JGU8qhFeRloy1euQqs33ogibhcUkepYSlkvpRyNtsznaSHE4EAnRsF5/N4N9ACGCSHuNhIfIh7XAcullKZ7bhR6oijHN0kpJwAzgK8LIaYEPI9Yxxbyj8IiMain7fS14oDfEcHAw2OpnQu8BNSg1dcKC0Sh40j7Wi9JKYcCYwE32rLSQILioXQcGVb1G+DOCtHoN1Rfus20w7YHqEKIIcCzwJ1SSglUCSFSPI+7o43ijwHdPO4TAOmdCfBsrC73dlD9NubO9/cXIM8oHlf7bebtZBKPG4DXhBCFwC3AB0KIy+y+84VGNDqWUq6WUk6RUk5HW2e/M4Y6Bvg9sERKuSy2b33hYFG/duRZ0q8Q4ha0PTNPeq6N9BvIKWCplLJWSrkbyAxYjaEwIBY6llKWoi0rm2CnDHtmiOcDl1isp718B21fo8IC0ejY4x4p5Sk0q8jIGOrY68aXf2Lwuhcc0ZbhCPpaZWj18zpPnylbCFEohJhnoZ6+C/hMSvk3YB7wTCTvfKERZRmOqK/lV/ZdwL/Ryr6Velrp2CZW9WvgzkxerPQL5n3pttMOS3ubfjugbczO8bv3KnAzWgHZAAxHMzNv8ty7HvjAz/2f0JRgFsYm9Jt+hd+z9zA/QCcoHgHPTf2qv9jq2OPnYrT9SYkx1PF9wN9Nnt2DOnwjZvoNl65AYYgwgvSL1vHJI2Azvon/Qr/fQ9EOOEsABgM7WzsN2/pfNDoG0tGW+Hl/byXgIKMQOh7ueSaAt4DvGvgzjIdHzq7WTrvz5S/acgz08vyfBKzB4BCySHQcLv+oerpl9Ou5F3Ffy/O8MEwcC/1+3we87vk9ANjX2mnY1v9ioWPPfVt9LW/Z9zx/AfiRgT+jPp/ScTPo18hdgJzCEGFEql/DvjRtrB1OwB4/AIYA7wohQDPzz0PboP088I6Ucg+AEOJdoABt2cF1nnspaKdHhVqe+UO0/WnxwA+kJ9Us8KRRPBS2iVbHX0dbInQGuENqG/wDiVTHrwIHhRBbPdcvSilbfSP3eYZl/UZBkH6FEL9FWxaY6wl3hZTygRAyAJBS7vPMFm5BOyzge1HG7UIgGh2nAPOFtn/fDbwhtb1HgRjp+AkhRA7QAKwF/mzg70mTeHwT+LvdF72AibYc/8mz9FYCf5HGh5BFomOr+UcRmqj028x9LSP+CswRQmxDy1Oqng5PtDqOqK8lhPiWZ2l+A7ANCPoEEQb1tMeqrnRsHUv6FUI8GuhOSjnNYhiR6tesL92m2mERXZ2kUCgUCoVCoVAoFApFbIjmFF+FQqFQKBQKhUKhUChihhqgKhQKhUKhUCgUCoWiTaAGqAqFQqFQKBQKhUKhaBOoAapCoVAoFAqFQqFQKNoEaoCqUCgUCoVCoVAoFIo2gRqgKhQKhUKhUCgUCoWiTaAGqAqFQqFQWEQIcV2E/kYLIZxh3DQKIbYKIfYLId4VQnQI4/5qIURSJPFRKBQKhaKtogaoCoVCoVBYQAiRCTzSjEGcklKOl1IOAfYCb4dx/xSgBqgKhUKhaFeoAapCoVAoFNZ4DcjxWDkPCCF+LITYLoQYLIR4QAixUQixWwhxL4AQoosQYqkQYivwoFeIEKK7EGKhR84bJmE9B0wWQnT1/H0lhNgshFglhMgUQvwAmACsEULcaFGmQqFQKBRtHjVAVSgUCoXCGo8B+VLK8UAx0FlKOVZKeQB4U0o5GZgO/NTj/gHA6XF/0E/OL4Dfeu53E0JcHhiQlNKNZkUdKqWsBOZKKScAm4CvSSlfAY4C06SUH1uRqVAoFArF+UBCa0dAoVAoFIrzlE/9ft8qhPgJ2sRvZ8+9CcDTnt9Lgas9v6cDM4UQbiAD6G8iPwFwCyGygNeFEMOArsA+A7dWZSoUCoVC0aZRA1SFQqFQKCKjFkAIkQa8AOQA5cAxA7cy4PpqKaWROzwyE4GhaFbUh4ADUsqbhRDPhIhPSJkKhUKhUJwPCCkD28zWpVOnTnLIkCGtHQ1FM1JdXU16enprR0PRTCj9tn+Ujts3Sr/tH6Xj9o3Sb/unPeh406ZNFVLKLKNnbc6C2qNHD/Ly8lo7GopmxOl04nA4WjsaimZC6bf9o3TcvlH6bf8oHbdvlH7bP+1Bx0KIIrNn6pAkhUKhUCgUCoVCoVC0CWIyQPUcpb9SCPGkwbN7hRD7hBA7hRATYxGeQqFQKBQKhUKhUCjaH1EPUD0HOSxEO8gh8Fkq2kfNc4A7gVejDU+hUCgUCoVCoVAoFO2TqAeoUsoG4DpgpcHji4ENUsqzUsodaN9mS4s2TIVCoVAoFAqFQqFQtD9ickiSlLJcCGH0qDtQ4Xd9HOgBHLIbxqKdpfzwH5sji6CHBpd2YnFivPBd3zoxm+dvHQfArz7L5/21hVHJTogTvH/vFKYN7qZ7/ueVB3lu0R7ihMAdcHJyQlwcb31zEjOG6v1Y4VvvbGDNgaYkbnBJpgzswr/+e2pIfy8u3ctrzv3ECcFvbxnLvPF9TN2ePtfAuKeW8ObdE7lqVE/ds+q6Rq54MZeKs3WGfmcOzeLaMb343w+3MTgrncMnanC7JXFLv9C5a3BJMpIT+MYl/Xln1SFk0BcZgvUXKenJCXz6/Rn069o0V7JkVykPfLCFlMR4nr1pDA9/uJ3aRpepDP+4xAnBC7eNo0+nVG5/Yx31LrfP3YIfzGBMdqbv2llQzj3vbvRdJyXEUd/o1r3XwG7pLHpwFnFx5u95uqaBcb9cwlvfnMSVI3sAMH9TCY99vAMrJ3P36JjCQ1cN46cfbQ/KjwB9u6Sx5EezSIhvmsOa+psvOXa6ln5d0rh/1iB+u2gPy34ym+4dUwAoPlHDda+soupcg6F+/fG+a6/MVJb+ZBbJCfGmcW1wubnyxVyOnDqnu5+WlMAn35/OgG72TrHbW1bFza+tobahSb99OqWy9CezSYw3nrP76fzt/DOvWBd347hq7/nRd6cysX8XAP66rohfEeWCGAAAIABJREFULsjX5Wn/9OiUlkjuQ5eSmZYYNu4PfbiN3cfO8PkDM333frNwN2/kHgRgz6/mcPkLuZRX1fqeJ8XHUV3vYvKAznz4P9N89w9X1nD9q6uormsMGy5A9w4ppCXFMza7E9d1N3bz0/nb2VZyiiHdM/hsu/a1E//0GtU7k/98f7ppGBsLT3DPOxt0ZSgU3nT8y71TmDlUOwhwwbajPPThNl2+FgieuG4kd19i/GnQhTuO8aN/bsUtJZmpiSz60Sy6ZSTr3Px9/WGe/HSXT49CCJ6eN5rbJvf1uXns4x1sLjrJ7IuyeGf1ITKSExjavQNbik8iEL73EkJrK8zex7+N8r++qEcHhnbP4PMd9r8k0+CSJMYLLhvenTfunsRHm0r43w+36eR7Maqjw5GaGM+/vzedId0zDJ8XlFZxy+trcLklf/7mJKYNCW7vNhw6wT3vbqAhhP69afL1i/vxt/WHffFPTojn7/91MWOzOwX5uelPq9l8+JTPrRnxcYJX75rAe2sK2VNaxYqHLyU1KZ4Gl5urfr+CkpM1pnWZl5SEeEb3ySSv6ESQfIHgVzeM4vbJ/fjb+iIe/3hn2DiBltd+feMYbpmYHfRs3iuryD92JqR/L948IITg7uEJOAKef7m7jO//fTMut72vO8SqbX7gsqH8Y8Nhrh/fh/fWHOK6sb1ZtKtUV1d7uahHB109+ON/buXL3WWcqW1k0Y9mMrxnxyA/j3+8g3956vGk+Dje+84Unv4sn0FZGfz+9vGGcfrFJzv5+4bDjMvuxPzvNtWf1/xxJaP7dOS3t2j9x/96Pw9nQbmvTfvOexvJSE5gYv/OPL+4wNf3S0tK4I4pfXlrxUEGdkvH5ZY4H77UJ/efGw/zxH92GfaBrHLFiB7cHpxVeHHpXl76UvuEcqCuvDpMSojjuZvHcGNONt//22aW5JcahjGyV0fKztRxorqee2cO5DXnAUCrB26dlM37a4vY9vOryExLpNHl5qo/rKD4RI2hLG+78Cfnfn6/dK+ujHXLSCLvZ1f6rqWUDHz0i9DvEB9nK/38w0uMF3TLSGbZT2Yz5Zll/OCyoXROS+TnnzTpJFR+t1sWHrpqGP89e7Dp8+cW7eHPK7X2vUNKIoO6pbOtRKvLvPV0fJzgj3fk8PbKQ2woPMGjc4fz37MHs6PkNNe9sgrnQw7SkxOY/MwyXVvpbdMS4wXP3DiGH/1za1D4X7+4H+fqXRyqrKaqtpFjp84xsndHthafCkq7p64fxbemDbD03lZo7lN8jXJIkNaEEPcD9wNkZWXhdDqDPFVWubm6f+TRPVMvWVGidcTGZ8VRcU5y6LTkw00lXJt1EoA1+efISIDpfeyFc7zGzfpSrQJtdEuWrNlCfbG+s/lpXq1HkZJ+HeIYm6V1yOtckqVFjSxeu4XGI+E7qIFsLaqhV5pgbFY85TVuNpS62HDohGEa+rNqRy0p8ZKqesmXG3eRecrou+8a+09q7/bcp1tIOp6qe3a8xs2x07WMy4qnbwd9537bcRdbC4+ztfA4AAeOVzO0UxwDM9wkJTW967pjjVScg7N1jXy++RACN1f116eFN50AZvaOJy0xsoaw4pybdcca+Ny5lhFdmwZFSw7WU9vgprbBzYcrtlNV18is7AQ6JgWHU90g+apYi8tV/RL4/FADyzbspHtaXFDH+uUF67hrRFNHd3Fhg+65d3AKcHX/BPaddFFQdpblTqdhB9bLPp9ONpNYrunky4J6Gl1urhkYOh8Vnnazs/IcC9bupK5Rc+8f1IFTLnYfr+bLr3JJTmh6cOy0Nug5fKKGPyzexZlayedfrWZgppaOBSdcnKppYGKWpFeHRL28E/qq4Or+CRw67WJXZQ1Ll68gwyCdvVQ3SAoraxjZNY5BnrAqz7lZe6yBL3LXMbKr+eDWiC3ljVTVNjKjTwKdkgUHT7vIr6xhyfJc0k3y1T/zqnVxN+Ozg5p+53+1iaoBWhosz69DSjdXe673nXRRcLIpPU7VNPD58pX0zgi/oGX+Ji0e/uV79a6mwejCL7WB/Jhu8fTvGOcpW1pe2Xr4pM7f7kpNX1N7xdM1NXTYhWfc7KzQJgj2lZ/l0hnSsI7xptPpqrO+e6O7xtEnI47dlS52HjkVsm5aWdJAdb2Ly/omhC3jjW7JokKtHC5esxWXp/5ctq+eukY3XxvUlAeXFDbg3LyHvrXGc6NL9mt+JvaIZ1NZPV8sX0W/jvp8tTy/Drd0M8ejx4WHGvhyUz7dqw/43Px9vfb+CQ3aQOZkTQMbCk/QM11wsraprPdJF4zvrs9HJ2slq49q73N1/wSKq9xsO+4iKR6u6p9AwQkX+UfPcPpMFV2TYVJP6+3UrgoXh85IGlySzQfLcTqdvLauacInME/X19fr6uhweOP+Re46xmYZx8tb7gAWr9lCfUmw/NySBmrqXVzWL4G0hGD9n66TrDyiyfAOTgGm9Yont6SRhSvzONErOPzNh5vK78COgos6B9cZ3vy0ZN12Vu6rB2DR8lw6p8RR3SA5VBHcue6VLpjYoyk8bz9j7cFKOieLoL7EokMNLM/bTY/qgyzPb5rUHdklLqj99OeLQw0sz8unW9X+oGc7j1QzMDOO4V1C14PbjrsorpL0TBMcPeum8GRdUFlccqiB2gY3cwYkhGx//MkrbaTUkzRX9Esg0jGqs7iBlTsOcPS0i9dztTL14aYSAF9d7cVbFvzj//GWJh2/umAdNw9NCgpjfcE5MpNgbFY8yw83smjVJraV1LOt5DTzepwyjNfaPedocEl2lujrz/xj1eQfO8M13bT+4+aDWpk/fEJr01bv1xKluPS4r+/XMUmb8J+//hBuqfWJQF+ff7m7Dpfbzdww7bgZm8sb2XywjGs7uYP0O399Ux72L/OHz7jZXqG1E/WNbr7cmE/n0/vZdKCGrBSY0EOfj3dUuNhWctp3/dmmpnr1XIOL99dqB7P+a/EKhnaOp7ZRcvB4DSO6xDG4kz6f5le62OVpF1ZsqyVRSPx7SRVn63Xv4T8B7/8O/vVnvUtf/4di/bFGjvvNfY/oEsf247UsXL6C6noXzy3aw5X9E3C73cwZmOjpt0iyUgUXB9Q1/vXThKw4stJCt6tfHm4gd9t+hsliUzerd9aSlgAXdY5jY2k9J6rr6Z0hmNA9gfr6euITE1l4qIGl67azwdO/fGHJHobJYv62W6tj3vxsDVlpWvn53aebcE3UjArL8+uod7mpd8Gri7cbhu9fz3rZWHiSnumCbilx7Kxsmjz65YJd9K8vDPnOdmjuAeoxwH+aNAvNiqpDSvkm8CbAsGHDpNmxyV+PIiJ7y6q46vcrAPjenAms3l/Bn1dphcob3ht715HR0c0r908zE2PIyn3HWf/2Bt/10IsuwnGxfqb+vUMboEJ79Zkjs3nmxjEAVJytY+nTyxg6dCiOqQNsv1fiqmXMGNmDX984hq8Kytngsc6FO3r6b4fzqImroaCsiv79++NwDDN126HoJKxfQ8fMjjgceutH8YkaWPEV35g9ilsn9dU9++n87eTuPY4QQK3Wib5m4mByEo/q4nf32+tZuU+zAqenp5NJPa/cf4VOljedAJ66cyZ9u0S2UnztgUrWvbWOcePH6azcu+R+2FsAQJ8+feBwEU/cOo2hPToEySiqrOar550AvHL/lXz+6Bf07z+AAd3SYPs2ndvs7L44HCN91/tXHoQ9u4NkjuzVkVfun8mrX+3n+cUFzJo1m6QE88oto/AErF9LZmYmDoeWX9fU7CappJBX7r8qZBr8ZV0RO/+zk969tfd8+b+uJN6vM/JG7gF2L9zDjJkzSU/2qyIWfe77mZycAufOMWHCRMb11SwWKQcrYcM6Lh+Qyvduvtzn9q0VB3nmC/07v3L/Vby3+hC7FuQzbfp0uqQHdya8nKqphy+XcsvU4XxnxkBAs7SsfWMt48aNY7qBJSYUDfllsDmPn954CWOyM3l71SHyP8tnxvQZ5lZMv3cPlb6fPaK5Gzx4MI6ZgwBYdmoHHSpLeeV+bRb4leX7KFii37I/ZcpkhnQPzmtm8fAvP28fWA8VWvmZOnUaOL/krlkjuXNKP13ZSkqI1/lL2l8BG9fzo+smc/GgriGD9bf2AGRkZBjXMZ74paalQbXW+brnsjHMG9+HZxfu4Z1Vh0LWTeUbi2Hndn5510yyO4cu4zX1jSz6+WIArf70zNxuri9AHNyv09OEXy2ld+9eOByjDWVta9wH+/dy3xXj2PS3zUycNIlRvTN1br46vZP040d9ckf9fFFQ+fa+f+cunaGyaWXLhEE9yCs8SXmV1mG4fEw/npqnj8vmwydZ/ac1gJbH/r25hJ/8axvj+3Xhlfun8uKSAl5avp+09HQGZ2Xwyjesnzn41IJdHFpdCEBKagoOh4OXd6+BUydJTYwPytN2P1/gjfuYsWNxDDM2r9fvKoXNmwBPG2lgzS7dcBh27uDpu2bRu1Nq0PNdR0+z8qVVQfefuG0auS+uYMTIkTjG9Q4O3K/8XjtxCA9eMTTISXVdI4t+sZhBgwZBwR5AK089M1M4XdMAXy4J8uMY1Zff3DTGd72n9Awr/qDtdhrcs1NQX2LMLxbTx5Nnlp/eCYe1jvzdjtGG1lEvw59YSN++fXE4RgQ9E0u+4OqcgTx89XBT/9C0CmTasD58uu0oiYkiSMcF4gAU7OHF71xOWpK17uH//GUTi3ZpVrY/3ntFyHYrFFe8mEtWVgcoDV4d4K2rvby4pICXv9qvj7+fjgeY9Gn+mL+aXskJ/OrmsSx/djnDhg2HnVrH3Cy/v7pnDZw8SVx8vGF43nsp65ZDrTbSmTZ9OixfCkDnzp2hshKA7K4dyT92huTkZF+fKDDs3KpdpJWWhG3HzXjwgy1sLT5FRkawftM358JZbfLQX/4/Nx5m+0c7fNd9+/XD4RhOap6T0X0yefnOHJ2cX3yyk/9b2/R1kPT0dKiqCopLTk4OkwZ04WxdIyxbzI2XXMT9s/TWwt8s3M27qwtxOBx8dGwLPRpOU3q6lnN+VnP/93C7JSz+IugdtvjVn4nxwnL63f32eo572siOKQl8Y/ZI/t/87Vx88SWQ+xUAffpkk1pWouu3zBzRmxdv01vddx45zcqXtfrph9eGXxU567df0aNHZxwOY+s9wLsHNyBS6vnuFUPZ+J72Cc7JQ3rxxztycDqdTJ0xk4U/W8TAQYNgn9aHFSIOh8OB88wuKCpkyJAh9OuSBpvz6Na1Kw7HZEBr07x1UMfMTDh10lKagdamTR3UlZ2f7PLdEyI4z0VDs3xmRgjxvBDiKmADkCOEyBBCjAOOSymDc7FC4cHC6tQLIg4tQTRLiBSK9ojxThWFQqGInvZav1wofSZFy9JcFtT+QBcpZb0Q4mfAFsAN3NFM4YVFBFyYVRQieAWyBdn2/PiHHX19JX0y7MoSIpK3NZcVfE8bBPmHEq6ClkhDN7GLZ3g3TXvMTGTo3qfpdywr6XCDR7OnVjQa6CLoOsrEtirPZN+6uVwR/DuaNPfKaIk+Q0v1S3x51xtuiDSWFtx4iaam8Mq3o267cfJf9iUxzuPWJmSER55ZvKzFMdC/QIR9f7NyIwJuSGm/jOrTyp5fa/LtES4K9ttn6zEwr4+C74XLM4F+wrZ1wlhmuNgLhGlMJNbKpy8/hej/+OqECNMzmrYjVBkNkitERPlYKztNb2elTvCGEy48K2c/WE6fKNPRvh9zX4bZ2OKLBKaIUTiB9wSh08m07+PnKar2Ksz9UO9utywIYS3fIIS+btHFK3xA0uS3zo3NAiVCDaRiRMwGqFLK9/x+3+b3+9/Av2MVTnMSK4tSpBVnS+IfXjRhxzreLZYOIcKJSH+RxyRm2K1gwja4VmTYkGcejzCD8ZjnMWOBzWVRthL/lsj3LZpHTQILP/HSOiUp3KSU5sbgXlso+G2JUPVqdN6tBR8DhRjquRnyZWvnHZV1mw+zfGhpMBEDxUQro2lQbk1Q2HrdYmcjFuW3vWE1RSJJu7ae2s2yxLctEmi1NJ0FiWBCIJrZbLtWpFDh27ZIxSh8r6yge4aWUCNLa+AMWmg30c7SRuu6OSaN/Ge3LbkPI8dKWDLgukl2y9j77Jcb498tHY9ow4hVmbMSnpWQ7OSZiOIS8L8dPyHdhHAUVKdEWa6MnttKEhG+3g9XD9qdNdfLjuyZdfmxzdNm72fH+mku216YdtD3M4ysReH9NcdzfzdCWMjndtIzoG8VKbHQoVW/rbXUNrDtNXUXVRiRdGJDyQvv3XTFiQVZwdbx8OFZCcuyP13fUpimX+BKoHDWYEttmNU4Bji22x9ulr6ThXokWi6YAaoVYjV5E4mYSGeOIo+z/5K4yF88/MyZXXktQ2A4gUsE7QuUMbWUtYQVPpolS95n+nSLMA9H8TySMM2XuNgWFVV4dt2Y+rW4GiLwWXNOVkeaxhFb4S3IsJI2dpbtauG2rDVekx2l/2bVe6g6I3wk2oIBxag8xXT7hlemTU2arvyIRaHxyYpMVKxo7vCD233rfuxsuzFdhmoj3GiItv7x+rdsvYv6ufXwWsrKqq8HWq8+t2zFjrLP2Aaq3iAuoAFqwCxJWFeRSLboPkYzjk0yRMTxiNUMiHG/zshKENqVlOH3oEYzW2/Fb1Nn1arMiKMTLCtKjVibtfM1k9p1hNYmU/mBFlmzGUnbcmNjRQ+U0UL24hYJxWcV99YJNmdXo3Fj6tfm6gC7bg39W7hjzV/A8wgrbytWm3DWhqZ919K2Qpo798Vavl1LqS3rfAyssKayTS+8YdizDIcQZeu53pW5lSgSYrUiLOQ+SJOyEFE4IjbW8ogDt+QsmnSMrR+jZ4HRi2YAFyMDasz6YeFWOYRMK5umSqt6DuyrN4tF1CYtsRLhAhqghidmMwgtuBY8Yn8WrS525Bg+tysv4pjYDCekNSky/VmzlDWf5cB2WkehO2nkJtKJ/KgsubELr7nyXnBeCw4pqjLovxoiVFoFvGGzWvlM9/mG8RdxeP4y7IdtxbJiJDcSa632PJpVK7GlOayDJk8NfgW6iNLyE5N6NDiezVFSYrXiJZZ9h9Y+2d1+mkSXiHYsdnZWf4Rb8hp6pUH0OohahM2VA+GtgBaf27Boh3YTWQKYrQhrzrLSqis3dX2H2MQjlqgBaiugtwbGUK7dWXXR8nsxwgbXzIXEzn6KcDNpvuuoYhRb7My8tnqF1Fobgdoxra5TA1rNWtEMRLPPKdpU8EloizqOsYrNVzi17bzUlqu0SFYyWBMcY3ntmBbJH7Eui5Y6TZHLastlxh9fNK1aPWOoiLaYRC1xlsYFM0ANWplllLYywsISuNwhAhHRnIAaSZyt7JewI8ds87vFE7R18sItKYlFsQi2Jvn9jtAqZ2XmM5yTpmV8kcXBCk0HNYT2YGXPntEeBrtLdqzu7dHnMaF7Zg/P0mbfMliPrGYb3YUvo1HtAzfyarAcyWzVQHMckmQcJWH5xGY7n80IDE8a1ONh6yLPw1BlI9B/qBhGkpXM0jjIuhsm7HCym3U/lYU6I5S7SKPmK8MWylG4jpXR3jPz/Z8hwjEM20+mzm3oOAkR4jMzEtsFVGBcRu1ubzGSGylCmOsv+MAwb51tLwxv2bHTzlo17uktblG0rUQ/aLObLoFloumdrekjbHDhLKh+4QkR+hNC5tbpyBItsGwb5Q27fSurmJVDfwzPR/D/KSIrC4F+Iql6m3vC8IIZoCrOD9rCMeOtvcyppWgDSa2IMUqn7Z+2UEcqFAr7tEVLWCxQdZKiObhgBqiBy2qNRv4SGdGMQNBsUlgrmd+hAlFZgvSz6XbiLqX2rppVI8LAaaqYzI/UN56dCnaHz7XhMhDdQQz24xkYVqg9qIYzVv4ygg4VEkiLw9pwbqzsUTGXLW0deGM2UyuazEghwwp0ZDqzaRIp322L+1OMlsZH9O2vACuB1aP/I8XKmTax2gfu+56n59o/rxpZ4tC5NsduvegfJ/90tmqFsHa4k9+76fYOGVlcvE/MwkW35cF4D2rASg5hbhEOLL+C8Ja7oDibHF5mVkeGlB0iH8QCK+2Y3sptlm4+gcbhhKlLoilHRrJ9K0WsSwkpz99iYlRGQkm1a601c2O6gkzn1nr+MqqXI8VqGxJpna2trhC22lmr+yN1cTd9DwvlxEJ7EYrI+rCBcfCuHAi/og1s1OuGYYuw4RnJChenSDHKW17LLoSOn+1+qjCvCwPD1pUz/3D83NlF58Nm5em/EqG5uGAGqIrzg7YwEdcGotAitIW0VsQWpdP2j9KxQnF+0n4tqK0dA0V75IIZoAZaLc1mSyOZEYjqyO0oLEGav6Z3sxN3nzUgxL4Pq3LMwjba9xXuA/WmcdEtv4+8mjebeTU6zcwslMD7vtltK/tZwlrXrbkzlW3F8uRLA2OLq5UZOeM9qMbWL9N0tDgL7ouHMJo1tE9gno2F9SVkeBbqlagsqLq9TxqGs71BqwasWyvtFjn/OPlbbqye5mgpSiaOjMpBuD2o3pn7UJZAzb9+htxMZHC9Zx62mRujekaLm7WVEmaymiOfW1nRYGm/U4gVOdr9cOGbxzHQbbBsj+4NhESyB81wVZFuf529foLxvmgbKw78VjKYlUVbdYJPrjD8bZdQ+2zNyobdfpOv7NjIL00G1HCWLuPf/ljJp/7Wukjw3+dsx48uDv7tu8lKAJ17i3tuTfuJfu6as620glE94G/ZDRU/u2el+K+oMMPXNvnLNvjd0ntQvfVIc3LBDFAV5wdtYSbuQtmDeqG85oVEW9kL1Eai0S5RaatQnJ+09VOoI0XVSYrm4IIZoAbukzCqJnxWxShke+WEdG8yExIJ/h1SO6KaLAZENVAJvS/GfEZU7y4gXiazbEa/7WM8S260f8R0pt3IOoPF/Sxh3ES7J9narF1TGKGOfQ930qD///7urarH8kmMBnKt7JM1FeeT52dSoPkmJqzsbY/VKb4+C6r3f+H/LCDPB7gNhd0iZ7i/zkLB9XmzYhEyCc/Iwhhur73PahHSEiiDZsjNZAa2JYEz4FYw3XcXyUqfEPkgloSSbOWbe6FW5IS8b6PeNLXOGtR7TXtQrVkWA/sZRs+9svRlJLRgc4un93n4DOE7tRxhaq20W4fbdRtOjtUTWqPbg2qznZXB+jKzsodtO32vEXqlQTRpasUqF+Qn0IKqk2feR/C5D7cyxi9uQbLQl7NIB/HNuwfVbwVCiPgZ9lFChiXCKiswz5qFE1mtHr5ONiOSNs0uF8wAVaGwyoUyGdhWrG2K2KFU2nZon7aSCxulU0UowuUPlX/OHy6UtrS5B5nRcMEMUK3MZntPtrUvW+8n7D5Dg5mQSAuDbqbeRtQlmkcLEzhWJJla4sy+MWV2z+y7rsLkt13M96Dq46CFYzLTHjib67HOWNrPEi5vhLTg+MkxlG1x74pfGpjNaJqF0RSW/v9w7g2j4YuHtXc12t8R6WnH/vIsTGpHRfPvQQ2+agqvKeCgMHwrBSzO9NqJky4w4fdvmLwdpuyZxUmXDwzSW6vnwlstQuX9QMuG9/RuY4H6+AlhfO5BYBx11wHp5v+9XvsG1BD5IAZYWnVhoa4Ib8ELZ/0M/3LmVtjguPn0a1JWgvOZMH3mvWdUd4Yd2JhEOpzFOTBs7/+m+7fDhBdKbrRocoz1Z5bOdvOydx+5T54FAaFWCwW6DPc9Xqurk6JJ01D77c0Nu8Z9WNP+WFCf11iyDHhumK+Evm4KlT/94xYkRtevjkWmDLQueurjEKLtrvTTrN3h+j+eL26Ekx1q/7/Zb782zW5fSjtZuHlHtxfMAFVxftAWJq3aQhxagug6qhdKKp1ftJVZ3zYSjValuZpulbatRxs2NijaAOEtqO0zB7XHOqmttKXNTaSTPS3BBTNA1VUMwryiiGgPqk0/+pmQKCss6T/Tbk+WiMBPKFlG9wLzvHF4ATNohnseDMxnEWDqVQbOloWYaQ+8b2KVjYZIZdkwoJq6jzZPWvUdjRUompPrAsNviSUuLdUtCbSohJyJ9lpbLci1G3+jPah20tluPg60zhl9B9XK6oVwjbXVakga7FcNV9ea7bMLki3tl1H9XuTYY/87uaFjYf4NalvBGMuwEabd05h1datJW2f05las68b7Hu2XYf+VAsHy9G6tEKu6LZTlzzS+NnOz1zppZC039eNnTfSXY+TO7iqJEC6tOjTwaXf9QRiroA054Qi3Os4Kzf8dVK8V3Fh+uFo8+FeosCz2YQQh65aoLO7R+Gvmjs0FM0C1Qqwa7kjktPTJsfojtCMPO9azLi2WDmGW2NgX1/rTT3ZjEM69lXwRi3wU9oCFWOcxm8ufog6vOWSarJe0crBVS2DlE0XG/loHOx3VcPe8NJe1pC3UNeZYW2Zm6ibKwh6LlDHUs+f/WOq0tfXYlnPR+Uq4g/+sDCRi0d5Fm7d8B3lZdR+uDbcko7VLhB79O7VezKzmh4j6rRYmVVqTC2aAqp/NDr8fyJbsKNxHGw3//QqRWHJjffKZ/l7wyZnh96CGn2WL7juoxn716/LDzO6bXMeiYYl2uYW1WTtvGMZ7rqNuRC2qJ6qVB2E6AnbktcSyq6hXSlikySrqXVURwm2YlQL+2I2+0f46O+lsdfbZF54u7OB9U6G+sdgUpm6npqkbo/ADkZoZ199jBHtQjZ9HcsqnmbU5VsQ6e5taemIQfrg9qP4EJZUNHYbbg6oXG94uY2i1CxFWcNjC9795OygtywuUGy2hTv032lMO9vOyd/+2nXbWaLBmaM2G8PnD226FCTPaPaixxFBewD2rQ0tDUQZ1dSiiGfxbocm6Lg3vx3YPaujT5XVhh5AdzatH3JcS0YVrhZgMUIUQTwgh9gshNgohBgQ8e0QIsVMIsU0IMTcW4TUXsWq4I5kFbs3137E7oCV6WioZQlp4IhNozVkzKtp2Yx3l80BKOEasAAAgAElEQVQ3kb5Z+HjENs3MpDWXamJxeFYo91Y+36E9a7lKJlRIIZ+1Uj1op6Oqv2dOczXebcnKEEi0+S/qd2sm61MkS1/DhtPaimzt8Nsh4ZYOWxtERa+YaPOW0UFe0YRntQ1s9TLhh66Nbc3+uVV3EcRREsFsZwsS9QBVCNEfuBEYBvwSeM7vWQ/gO8A44HrghWjDiwUixMg/ktnA6Pag2g5Oh/+JjpHMqscqb5rNAEspw55WGDi7H26WrTnW2+sKdzjLktlsbhQNS9D+hkgtqBYSRxdGGGu1GXY65qb7yWzmPp1Bypfm0eC1KEQlxH6ozRhgoFXUymmI1k7MjSweml/76Wz3ZOHAzoShNSy8CTWsZUYfLfM4+q9s0VyKgPwbfuVC8Cy530x3FG1OYKmJyb7OKPKHHXnme1PtWOfNZATfs3IKvRXZTc/BqNYKb103trQ0lffI69Jo5cWsDyFCTWKIgKvIQ9XtQbW0jUX/P5hYs01OvDWWaW+Vlh0iKc+h9G24yirgnuV22KjeC9JtaMxzSGSpZnbautnqv1Bnvth7E0+et5B6Wp4Vumv98yjKg+d/+wbU4JUYsR7Hx8KCeimwUErpAhYCU/2e1XnCSAAygZMxCK/ZaM3Jm5YOO1xlG4mc2NAyKRF6H1wEFvAow22NfSdhjze3a/kzfbdw4UQfDzuYH4nfPHkvUK7x8jC7uvOXZ01Oy9YxIeIRQqGt9W1eK+lvdw9qaFlR1bpR+DWQFkNx0YqK2vLTTNan5qgbWttY1Nrht2fMyrfZATx6vzEIP3oRHjnWJIXfg2p19URsYh5pedUfhBV6ZVJbOC9F7yyCfqts+Ql6OyTEQEZ3oAJAStkohIgXQsRLKV1SylNCiN8AGwEXcKeRACHE/cD9AFlZWTidzhhES8/xGrfv99atWymsdPmuveFVnTmH65ywHf6+ky7d9f79B3C6Duvunais9f0uLi7B6SwHoM6lZaqDBw7glMW2wgVwuVwUlxTjdJZTcCL4ncw4efIcdS5wudyUFBf74mPEfs/7nTl9JkhuSZWWrrvyd5F+okD37MiROhobG6mnKV4HDx6kT1adTk5FRVPa1NfXc87dEBROXWNT4Vuzeg0dkyMrVYdOa3HZsWMH8WW7ffeLiup9v8vLjwOwft069qcGz+GcrmuKi9PpxO12c/hwMXUVwXEqKdGn7aHC+iA3AGfPnsXpdLK/sAGAVatXkZ5o/o7ePHf69GlfWh09UkdDQ2NY3e85ooVRXn4ct9sd5H7fYe35mjVryDRJ54Z67T22bt1KXXE8ANuPNwJw7tw5ncx9RQ1B/p1OJwUl2v1169bRzSCdvVSe0/JYQUEBzpqDABR69Lhz5w4Sy3eb+jVi91Etnhs2bKAkI46CYi0ea9eupUtK+Dk7K/XDgQNNdUBZaR21tS6fv4OHgvPApk2bOLE/3uIbQG6ukzhPy3L69Dnf/by8PADy83eTeWqfrmwh9XHfUd7oCTuPyjBhe9PMize/mlFf3/SOXh0d8rx3bm4u8XHG+cqbV1avXk2HJOtl/ODBAzjR6s/ikjpcLpcufrW1tZSWluJ0Gs+RFh+uR7rdbNu2HYAtW7ZwtlCfJqWlddTVNcmtr6/n2NGjOJ2VQfJOnz6N293U5pSVlXLuXFM9WHLkCE5nhT4OVU3unU4nO0u1ND916hROp5NDB+t94ZaVltlqp/zrt/r6epxOpy/fuNyuIFnh9BuIrx3YtYu0ygJDN/l+eWj/gQM43YeD3Hjrv9WrVxvWf2XV7qB7AOvWrgVgT0EBzuqDIeNqFra3c1pYWOi7t2HDBg6nx3GiVgvXX6cARwP079/POHniZFAa1tfXc/ToMZzOE5SW1vnuh0o30OrbI0eD80yj29N/OHgQpygx9Q9ae6z9X0J9QyMNDTIofoWe9smO7kvLmt4jmr5b1ZlzUGdc5r11tZeDnrKwYsUKkuKD/RQWFeF0Hgu6f/ZsDRWyhtWrVwOwb//+sHE/e/ZckBtvuvvfa2howJs91q1b53t+8mRTnXPyxAmfW3/8wz56rI76+uAyaZVjRzX/Z8/WBsmorqkxDDP/mL5+Lykpwek8Tl1dPcdKtfzqz+HD+jasvr4OI7Zu2UJ1YTyn6rSE2bd3L87aQzo33jyXm+ukoqKOs7USl0tfzvzjeq4xOO2hqQ4CcLuD87YZJ040tZGNjY3k78oHmtpSgGOlx6j31P3efotRHVzqVz9t2bKZqkOh21VvfgwV11OnzxEvtL6WF28d4q2npZQUFTXVad5+nbfMH9i/nzNpWjmprKz0hVdaWuer086ePRsyroGUlZWypyFg3CCtp7sVYjFADRy2+2oLIUQy8G3gZWAOcAvwdJAAKd8E3gQYNmyYdDgcMYiWnpKTNbDiKwByxo+n5kAlHNgHgDe83+9cRae0JByOKbZkdyg6CevX+K4HDx6MY9YgnZv3Dm2ACm3g069fXxyOEQCcq3fB0kUMHDQYh2Ow7feKW76Ifn374nCMJO3QCdiwVvdOZry1fx21DW5Kz1XRJ1vzH+79OmZ2xOGYrnu2p/QMrF7J6FGjcIzppXuWW7WL+LISkpMToFarBAYPHkSGu1gXv38U50F5GQCJiUmkpSYGxf9cvQuWLQJg+vRpdM1IDvl+ZnQpOQVrVzN69BgcI3v47m+s2wMHDwDaJAllpVwydSp9OqUGyTheVQdfLQO0dI7/chF9+2bTv2s65O/Uuc0OSNvtrn2wb2+QzIyMDByOmRxafQj25DN9+nQ6pSWZvkdG4QlYv5bMzEwcjmkALD25g6QTpWF1f2JzCezYRrduWcRXlge5L15XBPk7mTptKt07pDQ9WPS572dCYiI0NDBu/DimDe4GgHtPGWzKIy01VSezcPUh2J2vC8PhcFCeVww7t3PxxZfQt0uaaXyPnDoHucsZPnwYjsn9ANh55DSsXcWoUaNxjOoZ8n0DOb31CGzfysUXT2FwVgalGw7Drh1ccslUehvoO/DdQ6avx93gwYNxzNTqgE/LtlJ07oTP3053cB6YMGEi4/p2Ch95j/xZs2aTEK912F7evQZOaZ2giRMnwZpVjBw5Asf4PnxQvAnKSgGtovaPe0N+GWzOY9KkSYzukxky2FNbtDTzouVXR7BDT/wSE5PAM0gd4ylrO1z7YP9eZs2eTWK88UTAIU9emTF9Op3TzfN/YHgDBw3C4RgCwMqz+SQc09cxqeuX06NnFxyO8YZi1tbsJq64kPHjxkHeesbn5DB5QBedm8+Ob+PA2Qqf3OTVy+jVuzsOx9ig+HTs2JGEmirqXdqgtGfPnhypOwk11QBk9+mDwzFaJ7+gtApWrwA0PdXuLIWtm+jUqRMOx1T2iAOwdw+JiUn07Nkdh2Nc+PTxkFdXAAe1znhiYhIOh8OXb+Lj4oN06XQ6w9YjRnEfOXIUjrG9DN3456HBgwfhmBXc3h1YpdV/M6bPIDMtMeh5YUU1rHQG3Z86dSrkLmfYRcNwTOkXHLhf+R06pKlsBrH4c/oPGODrG0yeotURR0+dA+dyEuLjfToF6N27Nw7HGN918YmmfkaXrl2C+hLJa5bRq5eWZxaUb4Mj2qDSqP30J2nlUnr37qkLC6Cu0QVLFjHIL/+bkVu1C4oKyc7OJrnyKAmJ7iAdb27YCwf22dL9p2Vb4egRIHy/IxS/37lKK/PHjwc989bVXrxlYebMWaQmeQYBfjoe0L8/DsewIDnpW1aQ1S2dGTPGwPKlDBkyxNc2mcU9fdtKOHNG56a+0Q1LFuruJaxYgrvRTb3LxcUXXwK5Wj7o3LkzVGqTGF27doGK4yQkaO2nF/+wF1Zsp+BMcLtslcUndrDzVBkZGQlBMtI354JnIOL/rGrbUdi2xXfdx1M/Ja1eRu9eAXUcsL52Dxw64Lv2r+/9ycnJYdKALpSfqYWvvuSiiy7CcUl/nZvt3nZh1mz+VrSJhjO1VNRVg185mz17ts/6XFXbAMuWBL3D3rKm+jMuTlhOv3cONvXNExISGDVqFGzb7GtLQau/956p0PVbevTsEdSeHPKrnyZMmMCEfp1Dhp2xdQVdu6ThcEwydfPqnjUkxMWRkzMUNmoTH956x1tPxy35gn79+vn6sHFxcTgcDpxntDI/ZMgQ+nVJg815dOvaFYdjMqC1aQnHj1HvcpGeng5VVZbSzJsmIwZ1hR3bfPeEsJ7uVojFEt9jQDcAIUQCID3LfQGuBvZLKd8CbgPuE0J0iEGY5zVGe+liItfuviSsrJKPLeH2CTT3ogkr+xTCHYgRbq9Ya2InLqbfE4tRXMLRhpJNEWP8c1ZbKh+hsHMSqiV5Ab+jTYZI9wq1BDHXseke1BiHY5PzJCsbEun30tszsd5REC5lWyLlW+QU3wCsJmO4LzS0ZYLOCQnnvhnCbg4iFd0SeovFAHUZMEcIEQ9cA6wUQjwvhPj/7L15eFzbVSf6O5oty5bn4drX87Wvbzxc3+shHu9JeB3yQpImARK6HxB43YQmCdDhI9ANCZ1O6DSQ9COBED4SMjygm9A00C+Q3CF3KE/yPA/yIFuSNVjzZKlUkqp03h+nzrzns09VyfLv+2xV1dl7rXX2vNew97sApAEsM+xZfR5siy3ZFyBhRAKhCWnCB1uI0w7TUYlhVPWZVwuQFo1bE6VDksCAITRyBS538B36FEjjP3BEQ28NixW3PCxLbJDmHg4imI5IWzBd4LoKVlEy43SjaVyZNY9c3mX00UMCVFpuuM3qOXCJwQ/8cUWWdzAGNRorI3IwkUwcpPwhOFHaIldDyFx9Q8rnfA5nNwwItWeWjJFDMyjpHHrSB9cIKr5kDmMh0Upyg8uOgWbHdNm/q0mntQ8T+pPXPuIdHuS/VsJfHvxDkthtUn5KpMzNCm1LGygHQQGE/pz/q3Lugv/AGaE52//ZciIlCecICKzF/Fe8MWWMPYnKlUt0DcumEpaOe46EgAwW6HOlyJkpupotaQ4QHZZkZRC5/oy0xibNFaproVgHLCU8VsR28bUsq8swjG8DuA1gDMD7AHwJwCIAfwvgJwBchV2+v2VZFjkIbzYhoUqV7xwKmWJC90JdN3+AP+nTJsvSgLg01IG+QC9UqLtBZxNK5arzGWlB1dyTIwuKmOSTVqTEgXYDKnXsLW5j4lrISriti5zsPdug+1C2krCgFoGisHKcdPJtibZH2j2ootC5vilJC2oB6k1HDCosy/oqgK/6fvqQ7/Mv6+ARF+HFAk1Lo1LmUW2SPA3l0yBBtjjK8IszRrM2c6JanYB23wK3EnT0i/DEZFE+C9OziQqkY6cROeWPSltYy+docdkLPha5sGXB/5ts/Qjfoea3ovuv3JDll5fatTK6tJJZ+tteAexSkeVN0yjTrMMBWUJtLImJhvQ6Hl+W9SCfNkYvJ93tZoCtqfas9MHvEbp+mhSrlp0f0h1BVPGlMk/50xfrLmZdJ8eTIDMeMK/UiMxZeYuZwuBGnxMJg6fA1ob1atJXdtEMqAKSJAWWk0O4zkS8MUhwvYYkXjLsoUK3Znsdk2oJFlAy6ThZVbZcItfGWMG/kfSReSW+PJZFnytJcxxPJlV4cwCZPzOvwpjPPwHZoe0Rj84VdO8DNm1+m2Uh6U2qDhffJ5AE6z6jWHSlO0ex9dFRFOuaiaAM9l/6fXnhybJ0SlFOFHJZF6pVlE6pPT4ofu+x4e/HpTfKkCEWgypBL/A5fikkrUiJA+1xbwXiIwu+BbV027oR+vsE8ZTzJPDLNvnSL0oMqmBBkpU2pdkiw2+k665hFSQ5hypbUAvQlmfNBjUQwwhy4drxCfKFnvRltSyoaOoBfa6Als/mEYatHeLzCcdHkV4nGIMqIyEZYamCYsqXjbYYVFebpRLTITdJ8DS1bGuIFUlDbwlsiLbFsBdEkKsEv7AxJIYGUYgf+G1WljUtns+1BOb50TTj/s8iE43suChifSc/UzPDR6wcoee21YNhuQ01XmLK0I+2VZbeE+PHoJLzi7QnFvEk5yfRemdanhXgWaYE5hvOM5Kc4dhuIZk49P2SFjoGlWatjBuTFgesPkqyGAEq42ZeWSTRXsL5mbQFvER4hHRYsWnk6RbqcDrL/URMH55XOPzE7kG1GDGoIuZMv4VRvATDbY60BpP1ThOFzYuz1gvN6eHPecZCnkkRboFilR98k96kzpoN6hPMEJSAcaAEDRSJIM5rzpIimnEomXopGUGKh8TW+U/KtmgoUWPPEyhCuwVVQNHwWOIxHJMew1ciwju4q8iCEDBrNqhht1rRA3DEaEumD1hz441YjkZQSRJDn7ZUNAaVxC9wiq9AmjhlRj0Z02+R4qQlKK/sfBo6uEsrZv446Qt3SJJs+mAfBuKVuWdlTB6FWpdErKJMxlHNLA3yVvFoZin3WGkLajh/kADNYhROw4tlFPbksIJnA4i9T1RmEu/gmC8Gf+pkFiKyFna2EEm607FI87yheHyCdU6YxwxyLKkY3WhON56ek9/m7f1lzYPF2kMxLdsR7wL7r3zsvu1eITPPkjxUiGwJnhthiJZtrJNVGVxoT3heBZHfFMUTaqeE34IWQIpVV1vDVd+wyXr6sc4xCKcLjC2cuUIGynXJGEd0YdZsUEWga+JWOySpsOoL0qAbl44OFKochNwMZegJbikTda+TJM53IxZzyxGlR5cj3nPd/HRD9IAIVZrBrLw6LQxKMU6SBaGFKuk3RsakXCVLuWzZ12cI5I/ZQnUUDUsGnXVayvU4W6Dfgiqm4BJ1hVdF3LbFOyQpkl6QHi9NaXUJv9GieIIJc1bZd6BwynMVzJoNanBeoeuYVOYflfiPOPwCsIKaUVk5dJ98FvjNiJ4sRmTn+5HWYYyg+kgZ1JonLPiF24iiNpdFPG4sFjuNp48nW6sFwFyYixCI2W8UY5CC9Iy8HMkP0YWK6wrHpHGMfIG0LEhbNP153b/iROJYbEn3hJLGoghPgx+bFvTkYMsjO87TrERE2tLeB778CawC41q8I/Rk+chY5yWeCc1f/ud+CwolDend+fdnkvPJ9WFvvKP1RR0nyKqC1Uep8krycPqlcKxoKI1F+C1Mm4VCHHSmew1L9I4LfY93SBI/kUj8uq5mS/POkl+v8DPwTpen8RedK8Toqq2lCjFOzJoNqgi0WVAVls0Ft+pQPhcbhSsHhqZfyQKuO2GCMgiml7X8qb4ZV/uquYXSqCV5SJKuVOSs0QUUPWkpeCioPUsSYm2dvCilIakJvLSsDOIQaXtx301H0eg8jIjJRx8pNf7FFqAEkFQMKo2skAVVQ8uIS8EK/Y3LTxedQsKifiksdFmxybSL59IvglmzQQ1rs+kTjXx1qZ3cpcotCH/MiCytsF97HNAscaS7A0npHNgnKbPTxNMWkX8nbtgpaWn+/zrGMI+WGjUxrZ3DQ8BaTYGed43RbyhaThV6hRigCzUJhA/BZVlmPE8BMU2vlBy+FuJZbsTzS58aHFKUkJwceE3F8OfjuOjZnxllazkU/dT5/Gm8/PxoYySbtpchibWW7vZNjf+nPJCyzjMKL/woOg5zLJ1+CzvFWkQa20Usb8SNM4EvnYb3l2mdL9KSlbRecJ/R+oKCCdW2IEtkIVjvyEoMvg1VdN6KtcbRnItYWuFYbcF6INESiackWbGjIulpt+76SMGCqhaDyi88+918Y0v4eYw+qxrPDRiJe4bNmg2qCHRN3EoWOE28VRjGWeTP1PhA3TGownwToyy/qVW7yoaeRrXYuHJob2NkgknFmSRhOaJZrnXUqQ4w+xfLe6FIqmoxVz/Cb0UQt5QtX+x6F8ifpACiJIi/6S/0Uq7H2YKk5nr6dTkCrsUaRIrtieBuxEX9f3hzuNgcqKs+tFihJTyTkoSw9Vnp7BSgcOpzeTzZoBYBQS1rvMbhb5PyJx8mrwGRjeFJeiCgao4JnZuqldKlzWVBkZaO6hTRxumYSHTIWszDC0oRMqWR5ALZT7oQ0x/tXthAGonAR6qWXkIeWW06D9o8NRKod3mLN1sI2hhU6KWUrBVFqBhUFXmkuEeZTizgalXsTbOKRTROciHX/sBni8rWgkD9a/D84UH3mk7Io0r0ffjGWC79goWphL4n5Vkg8jZJjnsibuesfEli9mxQQ261pE5MOlxDiLSOhbYGV0UpfgGXCXXmzGPuBeUK1IVFcQPxpdHRL1hvrBaDKqhpTNC1R9jNxj9JMhcrIlrP4PQNNkkyDcHnulzjIxNPwosGC+AKLL8uI2/IeIckkQ9o4fOTbpckPgwZEHoWt49Hxnde+bvlxnPbDf3GqDnZd4hejcPww4zhHp8k4lqG4h4OJ7TYY5QF1ZVWqV2S5jEfTUGZdDyPpAejrIpkUJEKAYjDB3LtRZY2i66Ikkloo8uB7CYuyo++EQcI8wpXHr4M7lpS8d11NVuSwUH8EKi4IwQBVrRcInOFobpujd+XksTs2aCWEPTGoKrT0hmDSoMFOStv0hYx1umFYRnocVDk7yVgQJWLraEG2onkLQ0UW+NfapDpP0n2tWAMamJsPH6E/htJw6HhF5N6UqTgy1hWdJyPa9nwxpl49ZZErUvrLxQVdYU+YVbagipCU5MssrTcU8sZUhbbI0U61CFmWIvs4Wgs19dwnyfBSGpnnCDENlHqtHQrtGVBG5dFzk9h0xVLJ9IGkxz3XNqSBUsSSXfdzJoNqqhbrRbrnJIvuHrVqrgekKwuKmCdbigqV3hhyD8kKX4t6T5JVDQL94L6GC1Q3MvG0xCyuEm7PwlYoVT4OP2JdwCJOMMgjcTXDAJayngxqIEveeQXoyHGKge0iKYJ8GFYannWA39aVYSzi5Jj8SVa3hkvI30IGPeHvBwCC2FBUtqhGnssk4YEEet8OC3tIe0KEfuxeEny5kT/OkHHxlcG7CtdigNW2dKUwkp8DN8cqHnU98+t5Ofg8rVPVo1XC7JvFbGIWsG/kfQC84os7BhU9fanaxPnkiFNq6J5hZnxc3hjD5uvSg1YiLfmTFphOGs2qKWE4GYrHi2ZSS4ih1EAjbSkBjppxSLr9EL3M8edi7b41Rkboe7qJl6hcRYoOl5Vi6IhvhiPFWTKo3AxqMkveUn9l5mIAH97pN+DKihP2IKqoQgUFd0RlMQ9qKp8Crx9kraiiHifKJY/KZdUCGpIISfMpICQt4jK0pfPTyx34m/8ELGkw0n8PPTRE9hEiVpQCbTkY1DFeMVFRCEpmV90rBJ5nSRHvScxqCWAqLtVNI2KZjpM26Eji8LHoJI/q9IhaosF5QrE5dBOvwvVX1zoPklUtP5KKgYVloTLIoW4gpaRSYTxNChqHEtz3iJrBF3eEjvRUaCcZXnTNmSlEoPKOnSM9a6eciheL49aXMTKn+1REN2ssGpNekETlpkhR1zaSSGuZ0pcxZxQP+J5UBFIiLQPIi0GaxklDq/96jwYp9Bu1B5jxqNIfHY8NknHoNIoiyiZLGioA8kXC5cvy5UZiLZXHjtRRYDMmoQnkypISgTZtZUwL4E0JM800vymenZKvL6U7GAxazaoJYVAQ9M4sUi7lBkohEOP7s1lHEgtMCh1Ew1QL/xbadmkU913CvM+xW4LT1AYFG3BKwkhOSXeJXiwW/xCKMY4IwrdC5VSiUGN8udsFEt4VDNCf59AP0QVCUmeRFuMNkjfyLK/27/NjBYpfQCSxteKfX4B5XMc2uQ7bfVi1mxQAxVkkAvXgprvv6w2iQTV4cr2IVfIRwj8V+JPiA90YEDMGunPaWsPSW4gdO2RCsLvHNeFRNTqykvlaVjFrIoqMvi1uMyYO0aZeMftR9uRbPXwY1Cjv3laTnVrt7tgS0ib7ufHKxNZ3rT+Gz5Vm3kqrftJ884M5PcRi0G1AmnFGfrKw6YQ5A12/whb6UUOpLFPfCXTVGlLkQvrqYd3KGjqA+7LyYFnGXI/axZCxDIVTkt8ZpDlVKpPAiPDT8sKPeCAWGaKYy7N+m+vJ4qzYTDAUJqGvzsbPUketpecEfyBmymanDg+CKwhhCyoAvMFDzT6tN/D/FjX6QDRts3jJxR/blnUdxe5dSJoCFEvQb+HmcdTMK+skcjgr2FIN2VE5gqwy9gS+awwKM+IGFTDMD5jGEaTYRjnDMNYF3q2xjCMfzYM45JhGL+rg99MR1J1WpIxqCSmDCQdXyAU7+CkpdHgfC8mpOpTcDFAzKqhnoptDXkcUaj4HB78csyUata9Tdceg8rYPBcb2uPeKCVd7LYkGmNYihCKQS0yCt20tbv48sq2AH1YfwwqP00cF9hSbY/hd1JRAulCkkVUyjGoFXEJGIaxFsAHAGwB8B4AfwDgw74kfwPg9yzLejkurzgIu1uVWgyq6ohlKQYsWIxvSnQoA49YSFBUG8RMr6G7hsUin4QqQc8SVMZy0sRahEpOErbHAIscX4PIst6JQkC3atMN9GF1hK1l7u8JLRpExpU4h32QPnvxtXQ+rveDQGHqnIzixikS84VoRGN0RPkyLDPhBQvFCmXTk79TWzQG1X6mXiGJHo4lEF8M0LX9qq6PMuMmq15oVvFwbLeQTCSvIl+sWOAqJh4tg1xmqh4HVHoK7VYXDAOwpunPSN/lY/etYAyqnAHVKzOKhwVvsS/Sb2068Sohrguxmz2GEptIj5UG9LnSskIJE4RBmAPE70GV5cUHaeyJ8BFca0eJx5vbkx4qdFhQ3wHgZcuycgBeBrDfeWAYxjMArGJvTksNtMG2GCi4AbXA/FQkUL0HtRQgIws9BlUgrzgbKmZK7MlMQpKxTcqYIdUssiiUWTgGrkVSkihMb/aAWsxFLgTuYUYFkkMFIvegFhuFvoc1qWtmqM8LUPS6WehsL6W0VuIhMpdKbz5nRrnxrkai50sesS2oAJYB6AMAy7KyhmGUG4ZRnt+wbgPQbxjGKwBWwLak/q8wAcMwPgrgowCwdOlSpFIpDWIFMTrplf6FC+dxfyDnfq5XxlwAACAASURBVHf4jaXT6O0dl+bf9iio9mtpaUYq1RH4baA/43veglSq03toAS2trUilHkrxddCap9c6En0nGkaGxzFVYWBychqdnQ+RSg1Q0zYN5vJ5RiJ0m4bsZ9euXoXxMNicHrROYtqyMDEx4f52584dLFg0EaDT3T0RyDc2NsqU//jxY6gqV+senaN2Xd28eRPzB++4v7e3ezIMDQ0DAE6cOIm6qiifiazXllKpFCYnJ9HZ2YnsUFTf097ehlSqx/3+4MEkUa7RUfudb7dPAQBOnTqFxXPo+qM7+ToZHh52y6qrewKZ8Ry37m90Z9282anpSPrGDluGM2fOoLnWlmE6NHpNT9vleO3aNZR3NwIAbj606abH0wGad1unIjKkUinc6LLTnzt7Dp3z6O/q1Fmjr866xuzfbtxsRP3QXeb7hnG7zZbn9KlTWFhThsa83GfPnkV7HV9nJzI+3Lt3D6ncAwBAb18G6TGvnO83R9vA5cuXMdFWLvgGwInjJ1BbabfN0dFx9/erV68CAK5fv4bKnsZI3zp2/Biq833nZqdT/mfRNpf93k6bceC0VxFcuXwFk23luNdil/uJEycwt5Lcf5vv22Vz/PgxVJaJ9/GWFm/87OycwNRksB+kx9LoAX1s7+icwNRkFpcuXbRlvnIFVmdwPOvpDdZjZnwc3d0TRJqjo6OY9E0L7R0dSI/lAt9Tqb5Ant60lyGVSuF6n51+aGgIqVQKdx54/aizM5qfhWZfm8vl7LIZHrbbTW46OmbI1K9f9lu3biE1eo+Y5k6bJ39zc2gOzMPpG0ePHkUFof6HJsgmtpMnTwIAmpqakMq2MmW9e+cOUuPNxGfT0zm0tbW538+fP4++u+XuGJTJjAfSd3Z2IpXqd7+P+NYZfX29kTIcT6fR3Z1BKpVCT4+3Jrh29SrwkL4cm8hk0NXVHa2nPL+mpiakptjv3do6mf/bisx4Ftny6Nj/oG0C0zn+HOJHl2+MibN2Gx4aR5ZiQXXGagd3833h5MkGzK+OthPaemp8PIPu7m4cPzYIAGhtfcCVPZ1Ou5+PHTuOmgojsJ508k3npt32ce7sOff54OCg+7m7q4vIw8+7pzuD8XS0bkTR1j6BXC5H7MP+d/E/u9YTHN+7urqQSg0im8tG1jAA0NxCXseEcenSJYy1lKM7P183Nt7CwuGmQBp3Xjh+AkNDGeQsIJcLNoRjx49jToVdz4OZ4DjpoG/c+316Wrz8Bga8fpjNZnHtmj2HOnMpAPT09CCdr5Nb+TVaN6E/DvlkO3fuHB4y1jUAMDIyjolydr8ZHR1H39QYLl4YcX9z6sSp41w2i46Odve58/4dHXbfbGpqwkitXX79/f0uv57eDDJ5mcfHg2MbD+0dHbgxHmzPlmVp3b/p2KCG993+0aIOwDoAJoAqAOcMw/hny7Iy/gyWZX0dwNcBYMuWLZZpmhrECmJwbBJ484cAgN27d2OiqQ+4fQsA4PCrvXgUy5bVwTRflKJ9q2sEOHnc/b523TqY5uZAmu80nwX6egEA69eth2k+4z4zXv0+1q5dC9PcIv1eeOX7WJfnd6NzGGg4EXgnGr584yTmz6lE79QIVq5cBtPcQU07r3UQONOA+fXzYZoHo89ON2DHjh0wtywLPDs/cRtGyz1UV1cDGbvKt2zZjLrx5oB83+u+DHR6G/q6ujqY5mHiuwLAkSNHUFMpvpj3417vKHDiKLZu3Qrz+VXu76mRG0BrCwBgfn09MDSIw4cOob62MkJjfDIHvP4KALucq068jpVPLce6xbVum3KwevXTMM3n3O+nxhuB5vsRms4795xrA65fxdv378eqBXOo7zG3ZQA4cwr19fUwzQMAgP+v+zLaM4Pcus9c7wIuXcD8+nr0T41F0g9eageuXcHevfuwbslcAEA2Nw286jlClJWVAdPT2LZtO8znlgMAHl3pBK5cQm1tbYBmy8lmoPFmgIdpmkhfewhcvojde/Zgy4p5VHnvdj8CThzDc889B3PnUwCA5r4x4HgKz23dCnPXKmpeEjrPPABuXMP+/Qewor4GI3m59+7dg03LKHLk254jOxX5dBs3boR5eAMA4G/azmMUaZjmEQDA9em7wN07gWw7n9+JAxuX8IXP0z946BDq59htc+7lY8CjRwCA7dt3ABfOYXu+Xr7XE+xbhw8fRm2VPewPX+4Arl7G3r17sWFpHZPt5A27zTiw26tJlc+P559/Hvs3Lsa9E83ArZs4dJDcrwDghtUE3L2NI0eOoLpCoI/n+fnHz1cHrqJxuCcg39xLx7B0yVzq2P760DVU9XfhhRdeoI5n/7PjAoamR2GaLwEA5px7C8uWLYBp7orIU1dXh8xUDsgvCJ9evRqtmT5gbBQAsHrVKpjmtgD9toE0cOwtAHYbK7/bC5w/iwULFsA096PtdCtw8zoAYBUhPws30QTcuQ0AKCsvg2ma+JPGBmBoEOVl5ZG6TKVS3HHEj/ZBW/Ytzz4Lc/fTxDQdZ1qBG7b86whzJABcy9l9w3zpJVSURxd3vY8mgLdej/x+6OAh4I3XsHHTJpiH1keZ+9rl5s1bYO5bQ5Sx/M1XsHr100CLvYF98cXd2L66Hk099hhUO2eOW6cA8NRTT8E0t7vfB3zrjKVLl0baW+35FJYtr4dp7sLftl8Auu0F3o6dO/HS5qVEmQCg5uybWLF8EUzz+cDvzrrmmU2bYB4kvLcPFyZvA/ebsG7dWlwZ6kRFxUSkjk+M3kR55wOpuvfP33HWbn9+5zQmc9PA0GDkmTNWO2g71QLcvIEDBw9gSV21/aOvjtdR1lM1Z97E8hWLcOTIDuC1l/H0mjXA/XtM2eece8ut88OHD2NudQWG0l49O/nKfvgyaufUAOk0du/ZA5w8BgBYuHAh0G8rMVauXAH4NhIO/Lz/V+dF9GZHlMvy5NhNlHU+QF1dTYTG3ItHgdHRCM/szW7g4nn3+/IVK2CaO1H+1qt4+ungGgYgz2Ek7Nq1C3vWLWLO1868cPDQIfxl83lMTwPtY8NAzlPoHT58GHXV9rzVPZIBUm9E3qF9MA0ctcfPsrIy4fL71n1vbV5RUYHtO/JzaH4uBYCly5ahP2fXSe95e422fMXySH/s8cm2d+8ebF5OX9cAwJ80NmBOZTlMcx81zdwrx7FkwRy8+OIzwCl7ff90fl3pjNMVqVexatVqdw3rvL+zrt20aRPWLqoFLp7H4sWLYZp7ANhzWu/UCJBOY86cOcB4miZGBE+vXo1tGxYBly+6vxmGEWsMCEOHi+9DAEsAwDCMCtguvU7LGgJwwrKsQcuyugF0Alipgac0RN0ydZziWyjIxJAlDdoFzGL30kXzFRPKF6nr8XuNJYMQCx8P5aJmiJdU9QVP6XPEUC8n99AQdZGkeSWNsHs6a2wi3a9Gg44rTmQoyI6p4dOkiTGoAm3Fa1d8ME9ItqLPeX06GoNKpy9bG35apeAFrl0EmdhQZgxqEOE2I+XiTUpKmRO5MagwqKfuyspFlQ164h9VwVovRGPu1NwS7VNiDd8cKJCH8Jl8yrf6HZ4RlMCajoVE2wgxBjU4vhOzKcoUud/a+V1llFKIQRW+fYERg6qjPtTWUsk2VB0b1NcBvNswjHLYhyQdNwzji4ZhvAvAcQD7DcOoMwxjIWw33w4GraJC16ZA7cJcLazF+WnjXQKrHc1QijUXzVSkA0qI6SWeUw+DkaBH58POqbvI6Ae0aGYkQ1eWNyW9ypU9hQbzOPwiCah6wBkrW4mvMZMBo0BkNwNK7DW0H+JG0FHmxKYepVkslMBQEEGhZdIfg8qmK3pIUlzEbVvedTq61sRinb/YfcKPQh7MxILw0lLxyr1Svl87touvZVldhmF8G8BtAGMA3gfgSwAWWZY1ZBjGfwHQAHsz/CnLssSc1zUjcGCFwRgoFOoq9mmNypqffH7Fww8MhTwsWqTfov7fBEtr6LckDxqgZSVq6GhNhGLx1WhAVR6ohU5k9fEgHvsucZBUHMSxAum4csOhVsLjszTCJ/6x3k3m1OU4RaRyvYVsnYTvICTec81pK4bhG4sFDhBjiWjBktemh08zj1hU6Wn5tP2y6Yf0HMa1JpPpiR5cx6QtwTciJodPoI6Icx25/Hny06yLUidx+/7S58HiKVZYJ21HDKj5vyrzkL3+cwlwQTr5nKrEEKhHEcQbb/XWoE5q5PUGn19wr0jb/JMxNTWF9vZ2ZDIZ4vOP7qjGz221HTvLDKB+ogffeP9KLJrqxTfeb/9eW1WOqU31aGxsxPqKLL7x/pWorTLQ2NgYoJWbttw8md4HaBxg2wB/9cVaGECEjh//4e11KC8zkBtod2nPq8misbER9fW2TH/0riWYU5XDofxzw7Bp/uiqHA6+fyUWzBlFRXYM33j/SsypLHP5/V9bKpB9ph5TufmoKDOQnV7AlNePuuocqqf7XJkAMN+lpqYGq1evRmUlObyHBB0xqLAs66sAvur76UO+Z38P4O918EkauiZuJQtcoVU0/g1ZDN6lpPGSAfPKCTWKGlOpQZMRznsu4FYTTKNYcgW2+lHfJSEeyRhQyXUjYxUvFpK4ZiYuhOqIZEGdqQNgQhC9LJ6apgSKU9ZSrsynJHpjaaHwFtSE6AoouOiZNfCPScTJX8g1sZXnqmND7H//9vZ2zJs3D+vWrSNu3u/3jmJ0wj4kqrzMwJpFtSjvG8O6xXNR3j8GAKifU4nM1DS2rJiHgbFJtA+msbC2Ck8vqg3QmspNY/qhfZjR5uXzuGelVPWMwjDAPAOivPsRqsrLsHx+NYweO3546bxqrKyfg0ePHmHevHmY7hzGgtoq9I/ahyKVGQa2rqpH59A4+kYnsLJ+DqorylDeP4b5NZXu2SKt/WPITE1jIptDVXmZHQMuiCV11ZhbXYGKfBkBtlJu6+r6SFrLstDf34/29nasX79emIcOF98nkISIxkgEEeWugiU3aetR5KTuIluraNrFgJiSsb1xrZ46IVW8ovE+4lmloKMtlEKZlxJkNkyFKrtCdHkRDTv/dT1J47joAVFLlI62rm3sTKDeZUXjiUCjV+jpQ9KAmugGhGi1kyEg4MpQ9E1znAuhhchbzO9kFn5lPj2f2OYq+Rasm0PSazbZ9YZsE8lkMli8eLG0ZVm27z8BHYZhYPHixVQrNg2zZ4MacM0yyJ1C0b0lkkfRF1wVKgNIYEEXg7frDUv08RUTTPZeUR1uyXE1/ZE8gpn4B6Wov5uoDA4PnoOn6qJferHKs6A6kob6sCpcds56Lf9B54YtemgPW16Vwz6IvPJ/Pbf/cL4oIyH3QB0bLEcGRhpP/pi8ImOKWPlz3XYDRNnvIu2Gy/keB4VaXDHbseRmQAYySkLeIUkkGWQOFIsIFeDtU4JIvCp3YyxOypWDyr9IK3HaQVD5h8GvMWQ04JsDNe/HeXSFNmOIf9hS7Pey2HQ0e/R7aSz1umX262JbRhKGAZSGexQDKnUwezaoJQTZDRkNkdPHZC2oKPxcVOxhghV7E/5M1eJT6k+n9lk9BlW8hHUoJuJBh6LhCfyQqdOCWVALsDgQ0bCLxKDy0oq+StiaokOppuu8gCSsZLoXrPRY08LOILQTPmlIMn6f7GKuREqKRyGRsAE1kl7W7dw9PIiYjn8qfkFar2YmOvsc8bYHkYwW8WNhkVDl8d4nm83iN3/tlwEAkxMTOHXsLff3j33sY7H5F3tNzsKs2aCyjmh2YEGtM4azKFngFPK4/FX4SXV4hrXR3cwpDjyEdFrcqDhgx6AmZwHnLsykOftoC6bzLFkW+xAdyUV/+IAeUXBP8SUoDGK1AceF27EyJq5g4C9cZHnTPSCChSUyNoksqvW4qDrWBYHxJCZDeWtk1EofSRE1oDI7XdzD81hCx6adEESs48z8MRVzYlcJsU2o5BhUecGITkUBmhK0RE5RkqHH4F+sBath0MtZ9iBFHh8Zi7ssbYDxHiIWVEVPvgANTfnjhjpEKbJTWLCU61b/dY96+nzcDBUVFfjiH/8ZAANnG46h4eib7u9f+9rXfIQU160xvRGSxKzZoJYSIqc1KlZzuDlKn+JrGAW3bhTb04KunAi6ZNppyYlpk2VSLqIykCleupVIYDmv4WX1KBqe2FD9kLKgJidGAIXo8yQ3Z1IqFgKbh5iFY1tTPIqBE4IVoasck+gyce6tJdKjjr2FRWSO1WAiUy1/otVOohcbob+liDihDirpRcovkIfh+mqv9dmlq38TlTwPndSIShuR9UZgfaZ3AKPy18impaUF73jHO/D+978fW7duxec//3nkcjn87m9+Eu9750EcPnwYt27dAgD8xV/8BXbs2IGtW7fiO9/5DgBg1+Y1GBoawn/7vd/FP/39d/GvPvh+AMC6desAAOn0GD7+bz+CD737CH75Z34SfT3dAIB//7GP4r99/jN456F9ePvu59Fy7y5Rvtbme/jZD74HH3r3EXzuP/x75HI5AMBPvesQvvS5T+Mn/o8D+OQv/iwmJ+xDmP7ur7+Nd5sH8NLBt+PapQsAgM988mP40uc/jV27dmHbtm24fft27HLTcorvTEDY+kJqlCIuGnzqaq44hY9BjW7IqGlZ1kbGgUKilqmo5YA3yMeH7pNERRcKvFRxFqGiA7dbL1xNrchS3/9Jn+sa6bm2BTqC9JLQpoctnDzZ5Rda5A2Z+27uX/7YJHZFhQYXVXc8oEPm6hs2r5ASSbD8We8Z3awYzDYvH3IhnkH+SrHCbEvijquqXVCqD7MNqESItI8ILZI7o++nYsagsq3zxdvCirrWx4tBNQJzoE7w6FL3QpYXdyoyX3BB83gSzZ5/gcLGoFqx3l3kjIr//E83cLNzJPBbZiqH3LS3jq2uKEdmKoeaSvsvAFSUG5i2gDmV5chOW5iYyqGivAzVFWV47qn5+E/vextXvlOnTqG5uRlLlizBnj17UFlZicmJDP7pzZPob76Jj33sY3jzzTfx5S9/GW+++SaWLl2KdDqNjlH7ZN0FCxbg53/pV9B0uxG//4d/GKD937/159i0+Vl87ivfwGv//L/xlT/4HMzv/rX9fuNpvHniDL7153+Kf/zuX2HH5/9rRLbf/8xv4Vd/83ewc89+fOF3fgM/+Me/w/t+8qcx+mgEu/a8Hb/xu7+Hz//HT+LVf/pH7Dv0Et54+Z/xgzdPoO3ebXz84x/Hd/7h5TyvcVy6dAlf+cpX8M1vfhN/GJJTFk8sqKUAxQ4ZcTmTXhAVHoVaKMnyJ7k80yTVOVnSoKw0kJCl2C5eWhQNGmg8TpCLQS1M6RWkPfn7L21xxnndwOaBmkbsbaLeLfGhqxyTqPUkFqw6+MSFrJyyJ5LKyUIx22lEsT1SZLnLh0bEez/v+pUoHaEDumJxF4P2PhJLaR4ixTBkiNIpVBONyyb8Wps3b8bKlStRWVmJAwcO4Lvf/S4Ov/NfAAD27t2Lu3fvYnp6Gh/5yEfwwQ9+EMeOHcPcuXOFeF29eB7mj9i0Dr3zX+DS2dPus32HXgIArF+/AQP9/cT8dxqvY/fbD3r5z3n5nd/3HjiCxutXcP3yRdy6cRU/+tJ+/NK/+QUMDw36eB0BAGzcuBG9vb1CsrMweyyovl5gULYpFtQ6dzTOizB4cWjEGThVNJ60U0CJaQWeEV03BF1foy6znPQaRmDmOymMgNpiUONMBoLpPC2vegyqe1gEIY3u+dEitLJ4luYgtSS06WGFB9eCJ0s/wCtqxXb6SIRvXBNVDIhYuXRby13eohZUwf4A2O/DehfpU3wlkpduDCrD60LMjKLEV8Q676Zl0jGIcqq0S9acmKcaj5j/sYJymq6EkaOlC7SyB6KvH0dEvwddwdxFOc/9lsM4cZguvdgb8eDfMGSlE5HGgvoaHBCTiWTpbO4bw6PMFAD7HtS1i2pxv28MaxbV4sFAGgAwv6YSk7lpbF7OvgeVhelp745Ry7IwPDxMHO8+9alP4V3vehc+8YlP4Gd+5mfwjn/5r7kvyOo7lVVV3hda/zLotsppa9qV2cE73/1j+OOv/hnqqivQ4rsHtaqq2scqft96YkEtAiIWOEU64UFIlo49UCsyV0VxDajMA7JE09ImS52THVehITiRq6BQbUKLK9kTE2oAszcG1f+Z/Ga89/UvCmP3LyuYVs8hU/FpAMlYyXQuWFnvWQgPHIvxjQcR6ZRDIQR/i4OZNpzGj0EVyeNTAHJ2bkVe3gDQL0OsK92s8BqV4PYuQkdZgtLBnTt30NbWhsnJSRw/fhyf+MQncPyt1wELuHDhAjZu3IiysjL09/dj586d+PSnP42GhoYAjTm1tUinRyO0X9jzdhx983UAQEPqDezcvVdYLgPA1u07cP70SQDAydQb2Pmil//08ZT7d+v2nXjbzl24dPY00qO2HEODAzLFIIVZs0ENLxZENx+ytGctGK4b3IWhpMvs41zehT5EIQl+SW1IAjEmGph4NApb5oVA2DrMTCuSJpY0EozcpPE4RpWAhW/nSYZcPM5joArixoZ6z3RIQ6eVlHVI5YBEVV5JgWfZDn6PwceXN6kYVNXnsulkoYtskkpH5bG6xAfFLVu24Jd+6ZewY8cOfPjDH8av//qvo3ZuHd73zgP4tV/7NfdE3g984APYuXMnfvu3fxsf//jH3fwGgN37D+HC6Qb89I+/N0D7pz/yb3Gv6Q4+9KOH8Xd//R386m/9rpRsv/XZ38effPEL+NC7j2Aik8GPffBDeaYGLp5pwAd+ZD+Ghwbxo+/9AJavfAr/5hOfxL/8P38EB/e9iG//2VdilQsLs8bFVwS6BivyIUnejxGXVpa/jQRkBg1bHEOId9yDLwzK52JC6KoLirTRyZJxwXiYdpK6QEtuYU89AMFxzQ6Q5lulpOO1BPPpXkTQ6l7rNTOSpw7KWrVIMdPhzzy5Codgm2S6gSYtCpUv293dSRUJ52C6+Po/a1ColMzoSYCjjGTNFQJkLHDmCE4R6BgryKGeYoQLdQ+1DhSbPwmlKJMMuIck0c7A8H+OWQaGEZ+G31KsxdGJ5SLvOxyq2DHQSaKmpgY/+MEPAr/9py98EZYFbFxW5/527NixQJrbXY9w6c4DAMCixUvwv986g2XzbFfalpYWm/acOfiTr38bA2OTALxx6Mtf+zr6Ru2Td9/9nh/Ds/tMomyr167D//v338dUbjr4wLLwyU9/DrW1wVjY937ww/iFj/wc5lZ5Lr6f/6Ovue37ve99L9773uAmWgWzZoMaPOGLPs+p3YNanIVDUvFaKmC5bkhbUCXT64BMTK4IDVX440OZvGIxcWiILMpLByRFR6zYbedvAcqgYDGAkVO1GYzd8YMvnJ4NVnKwQjt2kleGyOJHLpaR/kYW5zmFoHhSWdK+DKWwBCy05SqQlvOMdcK9TD+gpVR5d8MwiBWnugZgyVas9Yz9iqIxqFElqggsHzUWv2ie4OdwLnfc5XTimTTfsiA6tql0c1IZEd2sFWUqFhLdfEu8+hf/y2dx8q0fAgAms9P46Z/7v/Hj//rn6RmKqDSYNRtUEeiyLshvyMQtcBzKwimdYHQR3kxro2yMTpFHaJEFKG/SJ/2s65CkOLAPV5BITxvoCVpgkZNRZV/NfyhEIUHjluQhSdz0svShVvDFmGukDmoq0mRoWfzRk3QFgug1M3pcpHUQSQYiGwbRM5LiuODqGEvIHlBieaXGX4m0swWF7v5JKUpoSg66YsDzHYgrko71pLcRV716MUzPrxoIwq9sLuU+IV0OJTpef+p3Pos//aMvAgBa+sYwlZvGeP46nVLDrNmgil6artKmit0OS0FzxIq34U8CUZdZNq8k3tcifFKlEB98pYE6bb9lO4mSTKo1Bk7iFm5bLHr5vzFkEuZVAB6AT7nisxJQ0zIWDWHokD/J+KvIqcnhMQVyVlGh0AVW2VryCztdcZRk2h5KwYuumEtR5iFMoXCNsJQypU6+B1Vt8xC27DpQvTeYfligng2JClh9NCKvoKdRGH4lk+iYEFTUWpHf/N91eX8VW5HPg6h42sLmAp8pVnZtRRZDUUCRYd26dTh//ryyRDxGSbWWl09dlRFDO2bNIUkiSDYG1fscGWsF3c94kItBtSciEd7Mp5JiF3vYNTwVJxW88iC6D5aA7o9k4WGnZ7tTWQKbdtlYywAfwU2m/hhUvfS08FPzVYtkjXNlVKHAtLIVTIooX96ikLTxZdatZhNqscdOFtxXZXrb8MHbIIlYueNCh9JLjE9xe2MpjAVhFLpMtLPzxVOSeFCvmdEok471pH8jnnQMqjd26NzQlmLrVkfSY3+pzi1PNqgzGKWgCRdD6Qsax1WVRCMuuJs2Ha5ssSkUH4/DO+iE1DUzj1HhBRd45BeTe9+YCzyU7qRfEijptkd2z9RGXZFmHNfjODwKCWk9nbS84Qx8AiRFbXj+db5xLahcbo8XtIXNUTb84vlVMslnUUEibErwdVXqYNZsUIOaG4MSiA2lEUQkLsn/G+lQoGK4KtoxqPHcSVkDM9nFiSxH4DtHnjggWQcjYGj77N/DLskQ7t1866z629txdPz8fisyq45Irk0knu5nYUnzfARdaUhubLHuZgvRMAha77gIHOpgM+HIJOmqRuMVarthrqR6FGlyOrToIu6zIrGgQrxIbioMiBw2Y1mEU3wFZRDrl7znPhd3LjU52nHhDxugQew0a74LLvl3LmmhtLS5WPQwouAVXmT6Lk02qWA+btuQIAZ2eyyWdyntICiA7LKvzMfHL7kYVA+BsZ3mWh2QI56btcRyhArL91dHCJn3foT1hm8dIOLJQgMtV01NDfr7+8U3SDFe16B8jg8BaqqbUkOQPgGiuSzLQn9/P2pqaqToa4lBNQzjMwA+AmAQwE9ZltUSel4D4AqA/2pZ1nd08HyCmePGUGytrAi0WFALGYWqw5UtPomiYya0rUJCpjgep6IT6b9SZROziPOoXQAAIABJREFUcMibnNIp8WLLUjolEYWIYi4mB7VcpDalwJWpRJCglwSSt+Kwv/PyOJ+jdIpdciUKTcUiEm5Ew+rVq9He3o7e3l7i877RCWSm7OtVygxgqr8KvY8mMdVfiYGxKQDASGUZctMWsgM1GJvIYjA9hUdV5RjtrgrQmrYsdA9lAADGcDUqytg2wL5HE7AATPVXU9N0j2RQWV6GoZoKdI/YV8aM11RgcE4lMpkMampq8HA4g8HKMoxN2IcdGQAqHs3BUHoKoxNZTMypREW5gb7RSYxUlmG8t9p992nLwlTWQlmZgdy0eOmmaypQXVGGvtFJ9zeHLwk1NTVYvXq1MH1AwwbVMIy1AD4AYAuA9wD4AwAfDiX7DIC2uLx0wbEcEp8paBIieRRcceL0YxXdh4zLBPPeQlezrK4vkjR2aAHbiiNfG6I5eOnivLrwXX1Oel7sseyiX9DKEOUjJkfAIhWjoFx+ISuj1ntQQ4tc3bFztLrxrjuwIWLxE7LuadAHi5zabF99pIEX5zuJL8CxoIZpciww0lbOxBIXzrUw9sZeMZ9nnedT4FkPeR5QEkIR6bs0JUhyry+RrGHDAKxp6lMpWrpgW6+pJtTg1zjrDd+4r1vJT5pbg+ePkOUOn/obdwiMvV92N+JkQrLlL3Sdj2X/p/rqNJkqKyuxfv16ar6f/eYZHL/bBwCYX1OBb/zcbvzifz+NL/7kDnzqe/YhQe98dhl6HmXwz7+yC393vg2f+t5VfPCFVfh/PrQ1QOtRZgo/9tnXAADHf/MdeHpRLVPmn/3mGYxNZPEPH3uemuZjX0ph26p6/NqPrMUv/vVRAMCvvnMTfv1dW5BKpbBr1y78whfewJHNS/A/zz8EAJSXGbj3hffgs9+7ge80tOEz730OaxfV4he/dx7vfHYZvvXzNr+f//ZZDIxN4kbnCBbWVrl3porg3720Efs3LsYv/o+z7m8VZQaavvAeYRo86HDxfQeAly3LygF4GcB+/0PDMHYAWAPghAZejwUi7iqKo1F47JA/2dEoyGlxfjGLfTgd6/RC73M+reBQKXPypyhUFRpSh3RQnxSokjSwmSleBIVCIa2EpQTW3ZXe7+wXDmweaGkk5CGdOh0HOnulftdGyQUrQwDmBlKKixpYijkdrrbKMaikjbPmiiz2mCDLXlqxp5Cf5K4boZP/y7+BgM8vNjQziaUMFqAlRD9xrwYmSwB6lLQifEgQKiLFMjJc+nLlWoi2rMPFdxmAPgCwLCtrGEa5YRjllmXlDMMoA/AlAD8H4N/RCBiG8VEAHwWApUuXIpVKaRAriCmf6frc2bO42+/d++PwG89k0N3dhVRqUIp2bzqoimx90IZUqjvw2+DguPu56d49pKYfuN+z2Sza2tqQSvVI8c1k7Xe6f/8+UlYbusY8OXhlODqWRi/SSKen0d2dYaa/mS+rkeGRSLrrffazy5cvId1aHnjW3Gyb/qcmPReAxsZb2DE/yO9hZ1BrMzw8zJQnTvsYyNhldOv2baTS9z0ZHnoypNN2XR07dhQVZexemEqlMD4+jq6uCUyPRPU97e3Bem3vIGuoRkdHkUql0PgwCwA4e+4cOuro+iOnTvxl1dubwWh6mls+Tp2l0+OwEC3PG922DOfOn0PPfLtOx6bIg9fNGzcxf/AOAKCx3XaHSY+lAzTvtk5F8qVSKVzrtflcuHgRw/fLI2kc3B+y5b127RrKuxsBAEP5erxz+w5S483UvCQ0NdvynDxxArWVBq732HKcv3ABA010Ofyy83C/uRmpVAcAYGBgHJmsl+9+82Qk/VXfu4mg4VQDFtXY7cNprwBw69YtAMCVK1cw2V6OzlDfOnmyAfXVdpu+02aXw6lTDVhYw9ZV3uwP3pPmtFcRXLx4ESP3y11+DQ2nsHgOmV9r6yRgWdJ9vL29HamU7cLV05PB+HiwHzwaGUc2bVDpdnVNIJPJ4fw5+yqAGzduoLb/diBNf38Go1OebGOj4+jLjhFpZsYzGJn2yv5B6wOk01lP3o4OpFJ9gTyPJr0+lkql0Jgv86GhIaRSKdzq8PpRG2GOYaEp1AdTR1MYHrZd0XLTucg7yNSvX/Y7d+8iNdlCTHO32Sc/Zb5rbZ3E9DR9DHPmvDCOHbMtC/5+R0NjYyMWDN8lPpucnMLDri73++XLl5F5UI77w3ZdPHo0Gkjf2dmJVKrfy5/z5Ovu6iaU6zj6puw20z+QcX+/cuUqch30sWdsLI0+pCP0+sbtcfD27VtIjd2j5geA1pbJ/N8WjI3lUFUZrfeHnROYmor+zkJXt9fO48zN/f0ZpNNks64zVju4ne8Lp8+cxv3a6FjS0tqKVOph5PepyUm3zizLCtQ1TfZJ3/qloaEBC6rL0D8eXGtl8+vLkeFhAPac5mBoaMj93PbAW/f5cfToMVSV2+/X15/B6IT8GOjAqWdSHx4bSwfkdnCtJxtI193Tg1QqBcsil+W9luicTsKVK1cw1V6O1hG7/1y/fh3VvbcCaW4788KpBoyMTMDKGMjlgvNNQ0MDFuTnKNo6d9Q3flrT4uU36OuH2WwWly9fBuDNpQDQ19+PR/k6uZVf55D697hvfDp9+jTuEdpmmPd4li1rOp1GT08G5856+5LWfJ04dTw5ORFoy5Zll01Hfr3Z1NSEkVq7ffX397v8nDnNsixMTEbXJSw8aH2AuaPtgd8shbmbBR0b1KiiwcOvAPhHy7K6WJoly7K+DuDrALBlyxbLNE0NYgUxkc0Br70CANi7dy+m7vUDN68DABx+NafewIoVS2CaO6Votw2kgWNvud/XrHkaphk0/f/5ndPAgD2RPbNpI8zDG9xnlW+9itWrn4ZpPifFd3QiC7z+KjZu3ADzyEa09I0Bx1OBd6Jh7qWjWLa0DoO5R1i2vB6muYuatqqpDzh3BvPr58M0Dwaeld/tBc6fxa5du7Bn3aLAs5toAu7cRkVlJTBld+rntm5F3fDdgHyvD10D2ryBe0H9AphmwBBv45XvC70bC13DGSD1BrZs2QJz7xr39+/3XgE67M5WM6cGGB/HSy+9hMpyygDjk6X23FtYvnwB1iyeC9wLLnzC9frG0HXgQWuEXF1dHUzzMEavdgJXLmHPnj3YvHwe9T0q7tp1Ul9fD9M8AAD4Hw/OIz2QhmkeYZaBU2c1c2pgWdHynLjRBVy6gN27d+NtT9UDAIbHp4A3XovQ2vrcVpjPrwIAdJ97AFy/hrlzawM0W042A403A/lM0wRu9wAXzuGFF17AC2sWUuVd0DYEnD6JHTu2w3x2OQCgZ8Sux2c2b4b59rXM9w2jqfw+cLsRhw4fwvyaSuQau4GL5/HiCy9i59MLyJny9e3KTkM+3fr162GazwAAvnnvDEYnsm7fuT59F7h7J5Bt+7btMJ9bzhc+T3///v1YWW/Hesw5+xYwbi88tmzZAly/hp3P78SBjUsi7e3AgQNYOs+OP+k40wrcuI4DBw5g+Xz24QWV+THAgd1eTap8fjj123X2AXDjGvbv34+nFpDjVM5mbsFouS/ex/P8Vq1aDdN8GwDg7x9eQvfUcIDGV26eRF11BUxzH5HM97ovoy0zgD179gAnj+G5594Gc8fKQJpv3z+LsvEptx7rrhzHkgU1MM09EXmqa2qwoL4GGLIXFWvXrsGt0S5gbAwAsHrVKpjmtgD9gbFJ4M0fArDbWNU9u8wXLLDHw4GL7cC1KwCANWvWwDSfFSsjAK0NLUDjDff7Sy+Z+NNbp4ChQZSXlUfKO5VKSY2zg3nZn9m0CeZBsjvd3TK73wHRcdHB6fFbKGtrpvJOT9pzXhgvvfQS8NrLWL/O63cB+Nrlc74xK4yqE69j+fKl7lywc+fz2L9xMRa2DQGnTmL+vHnAyLCb/qmnnoJpbne/Z6ZywA/tdcaKFSsia4l5145j8Ty7zXzr/lmgrzfPZwcOP7OUKBMA1F0+hsWLamGauwO/tw2kgaNvYcuzz8Lc/TQ1PwBcnLoD3LuLtevW4fZYF8qn05FyfnXgKm4M90jV/fe6LwOdtlIgztz8163n0J97BIyPR545Y7WD/gt2X9i3bx/WLp5r/+ir43Vr18I0t0ToVBx7DaueegqmuQ1lP/wBli9f4dY1TfbKE68DE/ZC/8D+A1g2vwbtg3a5O/kms9PAay9jwYJ6YGgQL7zwAnC6AQBQv2ABMDgAwB4HcD+qSDhy5AhqKm0FxV+2nEPuUQameZhZXjRcytczaYyuvXgUGBuNvG/2pj0HOli2bClM80Xg1e9jPaEs759oBm4F53QSduzYiUPPLMH1jmGg4QS2b9sG820rAmn888J3mi5g0dwqlI8MAL5N6n7fHHWvdxQ4fjTyDoO+8bOsrEy4LX7z3hmg31YWVlRUYNeuXcDZU+5cCgCLFy0CxiZhmofQe74NuH4Vy1csh2kGXXOdNTkA7N//dqxeyHbx/ea9M6jIeGsDEubk15d79z0DnLDfe+26dTDNze44XX3qDSxfvsRty4Zhl01q5AbQ2oJNmzZh7aJa4OJ5LF682J2znDmtbHQYVZWVgMQmde3aNdixYTFw3nPxNQwj1hgQho4N6kMAWwHAMIwKAFbe3RcAfgLAWsMwfgvAAgBZwzCmLcv6Sw18pRA4Xc8gG+st6HEhIpnX+fcTqrstqLgeyLgDsJ6GwvmU5IqkK3oMqgI94XQcN0MNp9Py4HdJZp9aKkdc5/UJwedOXKU/CFWNl59fOE5Tp+NQOMabHwMZgz7BvdU7oTjMJ8pJpCh1dEmRcragx3VIPgY1n04qBpXddqXjAmXSysagFshrn123AnFoir3QiyOPB3oMqhqtyG++Wtbpqigd78xoEMWLwqHHdEf6cwwhvRhUI4EYVEK4j0AMqh/2mQXxayFO+6IdBuUgifHEssTmShp0yUS8xUA0rzQvgfZAoE2a31QOkpJc4kWQ9LyiIwb1dQDvNgyjHPYhSccNw/iiYRjvsizriGVZay3LWgfgywB+oxib05KHYiWHByClRUshNoNhnkUEPQY1OjCJiuqm07jgUD24SiYWTHQxkBR0xD8/RmGUWjBbY1D9UL0HNbB5oPUvYRmCiQ0jfnvXOXbqjuOSPhiNRYv5rLATVrgd6IlBVSv72Jvv0F8ij2LHoMrGlMaMQRUrVCuiXIuc4guxRUMh1j/aeciebRKI5Q/3nygt2bjtQsXPs1xD49Dl8SHSkiQkdwCb2rhKvKpTmgobsS2oeffdbwO4DWAMwPtgx50uYmYsMIJ30lEKl2NREqHt0CHRZiFOp1ORWUZzwrQ2MmQgaaJIKOQ9qA5oliTVahCtP9mySEIG2fsZAfqCnaRllH8HQQu+gtxkenmLbF5QmRNAZXk4n3mTlSzvQP8lTEy0e1CJRV0gE6pIOdsadP0mVNHyZy/eo5sV1Y0WMb1EBmnakulVIeKZwnxPxS4oc5cxz3pIIiHSPki0orwlCATysTPKH5BYWOuYCGTuv41lQfV9kLGMyW0kguN/9HkQ4XlURx2ozmY8zxAgZM0LpSeVlehhVHFOcdelvHK9MRQ2fPL3EfNBuikjsmY2DP46nkjbIn4WRdIKQy33oFqW9VUAX/X99CFCms/q4PU4IDLYKtKJanhkJ6mC6KNLCqwJwsiPtO5iRHC0cRdHOgR05OFt2jRYP62wmcehUaAVihYuxVb5lxhkXNYep5ILTLS0NDz3er/mP+bi3bKsQFot1/RoHK11172MbKzNEcDbqIjLpAorvFuQgJALp6Q8bj4FxbcOHoVEHEWdGH15fsG1AZsut30WoAHHHSfCubmvhGA9GL4da+SmCWJ+kT4jY1LRg8h8oaAEEmPEfx8hV2DFzqvqSVmI3YMOF98ZgbDGh1a4aqbu2bbNI4Gw0cn/5V7vEP5eLA1ucdgGUAgZwn0hSfpJ0dUap1iAQi9023L4iYxNhboHVd5nXh8rYdZSVkyOVUtBYSicNknzbMJIYr6Ma9l0n2ncYJBjUNUgskmQosdSAhRpJmTWS+S7uoye54ycBVUsHW9M0MtPFiJ0heaMgDVPj8Eldn5NhRbPOi855kvNN+p8ksJMiEF9bKArYJ5oSvd9jm7I1Go5eg+qTF4LMBxtFyctI4Gs1qbom/k8e1IMSTjORGYysQg0SRAtLX4MKvlXqTZA+V3GxUXk/kkaRF3ARVzMZUB/F32QdQ+StwSQy12q3RTJXMKuTzWZLOoXUb7B/s7rGx5NWk8MjsdaFCoah07tVR8aO4k8fUmpIQOIt/jSMYeTbDXCGxkB0XkH0DByEn5Rf1/yOqW4JtQ446BKetGx2VsbkC2DDogH7FjR51Ee6vMoTQbl/Hl5PE8yfnoaf6//MGi5Zca3UIc/J4mI27VkfmFvG+5zS8wVmPecUnCOAVW2WAuxlJ81G9SAxgcGtXCVYlAVZdKFom/6QNEWCyxa7HRhDVyxNLg232K6ORWkKn2TaPFbjjiCfVgHPX20RHklDXcTENPSo5KGS0NzOiYN5Zg1PeWmdJ6BRuttKSMRrw2ZsuNYD9knM0vwIaVWja/jbRIkyRbbjZrGV9S1XpfCR9yCKsaQv5kTFLyIazrZ+SB6hkg82dXjtGOx9VMCoKawTiIGlUSb1B+KsW5NupXOmg2qCHRVMJEOQ4tmNy4F5jHkdTRCLG22m1ajBavYyyqDNvj4VGRMbR+ZqK39EygNXYcpEa8yklwU008Cjj6niRPUMkpa04UnApYFX4olk5rOAT5ghRHR0kvypqbnEIoRXlcYKAol0g55B/j4N7X0/hXsYNRqQPCqiGKPe2Fov17DZwWh8sw/Ym0Cw7G7ND48HnFA6rvCh6RI0Jetg1kRgypbJtL0Q9+FYlA9Ta7bHkKU/G07zMf/mWpB1Tgukzyg5PLb/TP8Tqz0RAHglS8rRtcvr4h3U8GaaOgAIfnNp1gGIQ8yEc8MhefOnKaywS3EnDZrNqj+wrRjUCnpVCyoRV59lMLih+y5IWhCDecrlgY3/7e4k3TyLx+8B1U/v6TeINiH43Px7gotXJknDc+CGvzLgohkSVg16ek08Ip818+blVTFgqrLCljySMSCKmH5ZgjAUxbHrSPVV9duQWWVgRwpbWApLnSOn57nDP/kU4+/HO3YdATTJQLZOYO+P01OAG25CHTUlq2KvNTGrcj8pmrkiouEG+qs2aCKQFf1ki/69n6LLp7UeMve0RbKLKw5YT6eIZvPCP9wLArhs/CCOp9HbHwQKzCuVZvym8xETuNAjqPhW6WKEoOqMCjTs+g0ofqtzyJ01XnT4lHJXMTTJgXdMcV2Pv57MWPpwZ9rSbFAwvHMOhQqGgdP3XUvZjm0uGl5YQe88U3HawXnAovwKx0yp21Ke00I/lYsejogbRGNbUKVy+K2BiuchmxRtT/71n40C2ogb7xaiLvBctczIXqs9DSEew+p/wY8V2h0JOY4m078lhzmIzv6isegctZ6lti6jmtBJXlg5Oc0WzlUeov5JxvUJ0gcxZ70RCG6YXpcMFveczahKFrUJ4ggKe+ExwElXyxPulDRUOjhS3QjI9pmdd9XWwzE9fyYAa8ohBk3l84wcUUwazao4qfryfeusHaDFysSPcCDfTADl7/rzidnPfM0J5y0rLgiN16TpBnL//X/RtSgsb/rhGtAJT5jPWXQlDhtgVfWcd5dNE7CS0M+HY4XRwPK7+5n0cncyceLm3TS++jGaSLhGOMkXLuDGnFwBY4Tg0q0/rt/+WOT7LUCqvB6F2M8sSwhbTGXF8lNhQH3VHNmmhBdg+UiaIXGPT54aWTpFRLuXdBMb4d8Wob0FthtjdsMBToS+5Akcvv0ZOfQ5vDx/ybT57VfacRw2yrWJspmSxYqukZQl9EL7ZDPw09nQ+ReZj/Cc2CcKohbf14MKsPjwccjXDaksrIYHcg//6rEenoi6Wm3pFWgqMJRdo0iKrFhhGiH+wMMAWULeVwL0xaFs38I/6YTs2aD+jhipih4ZoKY/oFRtVx1vidXBg3MZkr7YeExeAWtkKnTGachZkDE1VyubOLL87hYEnSjaPFSgogTtpAkyAd36RWw2O8rz18uQ8TDV8Rd1NeXXfdsCh3dscLFgFYLqqb2FFTIFqaRFqov6OITe87SI4ZWzJoNavBiYVonVNPeCFlnGelpWlth/qG/InA2ZLbxT8yCRaYjx5t8cARfA6cLLE2/X3Mme1iKaP1xLajibKO0BfMHNIRkE6r9XCDuwyKs5sSP0vfJwQDJ8hLP0hwSQ1AOVR4i9SLLmxZzGbY2h8uJ7DnARyyNfogGz8qm55AkOc2u61HCYB6OBTJA3yCE61zMs4GciFiXJbbSFbGOh9OSwI9BZTwzxPoRmwbZo8jyPWfRCj6Ocgqu3cV7vf5DkjSOd5qaooQjUiyWfs8Z0UW98Pom/zfiQeM+J1OKWOsE+bFAejXx/mFF5pJomuhn0nc/X+Jyw51/PYutyvsHZYphYXfWiL7f/OcPMD08/HyFxnx+GturiCyjn47KWR7OnGYA0gOCquVVBrNmg/o4ohQ1HiSUsrbcgd+1TFXeQr6mnkMASr9eeHgMXkErZOr0cSq68GKCl4ZPL17p2ArA0tpE+lHMfmMwXaOLD5HrtWLR1+iho1u+QlmnqPwlC0c+NCKYQexqOAthxXaUjg1+DKqYnMWE7LhFCllzkER7Kpxlc2ZZaovdd5PArNyg0jqgquYqnIfnikPSusaLQTVcOqLwa/jjuJOyXFuIcakEGkWJQSW8dMCCKkNTov54g0icRa0laPr1awgZBlTpRT9LS0qUA8FJnwY3FiagnIzfSDxNupgcMgiUl4BVMF4MKt0uKjI2CVn3xEWj0xCwVMv2PR4v2ncSY8NgtyoLwQmCRTNiQRV4K16KUr5XVcw67llIqGlCZRzlw7JeiPUjlb4oHIMa8tRiPZeLQdUMhpKgWJso1rUvOtcIfktYYhZUglcLi054PI8VYyvQF5n583m9tR1hHccwFBItqAK0HJ7qMahq+SJ0CL+JyiW/RuGncZZ13Nh53jqK+Js93qooDQ3BN4yDWblBfVwwUyxgM0FK/0E26hpufW+q4q6hm8dMwGPwClpRyDhLYT6F4GGRP6sKoiMGNfpb6XhmFFvbXspjT9Ddki2oymuolj1r4yzGN/iXmUgGOhV7soo6WfoK+S0gso+I0CnlBl1o+MpKl7dAknHhIlfoiaRX5l9idEoJs3KDStViQVELwxm8aL/JPGeyV5CZpuEjpmWk8KxmYtZSEoqhsKXbnNQGIGELKiddnLIQldp/4AMv5o5LnDRxSL6EaAx0gGyMgvIsOUHPA50TT0QjzhFYdtEaXERH6VBjUAlshKx7GjqpZ6lmjCdWPC8CHm8q31C5EdOExGZprVVOo5SKey81E2oeTOu4wPgQ15NIrB8xrLAUbxiVsYHlnQJIzvlc11FJt0yGAEVrWwa9nHWeU5FoDKrrJULeUVHLNpQ8qSoQaseGLQ6rL7FiLcmy8/k6PFXrVpc9j1SHuttJmBcLJOtz1KNA5DYO9m9KY1zCg8Ws3KAWHZFKVavkcHOSP2reKEicVOCQgCIvrGj8beWEEfksRNM1vcaTLSgPZ9NGW1xI8aDQKFAl6WDzRHMdhIpF5fGARfgUTsF+48DmIWb/clQgbj4dG3yN3VJ3t5GZewzwFr/svMmD3pb0jFmK+SR+VUWxxwRpi6isxTWSXoCAT2nmxaDSqHAUCQVowXF5SG+ywt8ZbuxkpY2Im6tF/JwkorLLrq9F+fDfR4y3WrkYUBtXC7FMnJUbVOomxVLT3sjeg0rmLc3Wx18eMtohobgighCiDZikDUoaREuSa0JVoCeYiZcqzquLbtZcFlxNrdyiXyTGjMOG/JhgeYlXTkEaMaqdziPET38MKrluwkUl1JeEyjJ+nxSLQSXfzSvPK2RxESx/3h2dYR7Ufi9Q52HIbfJK04TKnCvyf5Ma30UtYsxYLpoFVUUe3pwoQZRXYiqWG1rbLVbbkrHqxopB9Q38wpYx2bVMwKuFTye8HtOiCBH8LQzbGmcxyyYQaykw1oqUs8Oz+DGonqHCgej6TsmTgQP/6cZevrBHgcA6nvAOpLWDDJJeqs/KDWqxEdU4qdGJaHikF0SF0UgHO0ZxF1bUY94tK7BRkZFSZOEtC5WAd78sQjxoNMRJxEJpLrFnNuRiUIttL9EHkRglrnu9r0HG7V/hMcRA/I2Zzv6iu+Zl3ZPZi186sUJo7S3qF7HNm25llJePsMBU2OSyxCv2mCBtQZUOjbBC30Xy+JWYlu9XXxpXwVV8xO0jssqASHrfZxEPBBk31/BnHWAdmhpMKElXTRwyLZEyikNbQVhSFt2jh5YNqmEYnzEMo8kwjHOGYazz/V5vGMbfGIZxK//sbTr4xQVrklHp3MV2Wy2+AGS4gzp3YRjVBhUDpXAtRCFECGo/E6Cvn2SeruH7rIOeRmI8XgVuWu7J3kJp9aTRBg28VJWAUhstjbSkeRd/qFJGYuODaB0zn/FW48LiEGkpx9dJbhK49DTS0gXeCc2s71J8fH+FvY4EC4VfT4J0irjVFZozGOljK+KKPLbFss4nyIu5bitWn02YfuwNqmEYawF8AMAWAJ8D8Ae+x5MA/sqyrGfzzz4bl1+S0LX755nSyRonee5hPjKNxTm11paFzVvEbUsUxR58aOGiAS2pwgEn9hHp/NIQPkyJS4fmniUOKg2njCStUvJtQazlMw/pUnLH1keLykOyXOQtBzRe6n25UGCHDOigSSbCdC22gotCYt+wogtH5iFJJR2DmkxDEOmrrCsNeGMvb/Gr462C7vNW/jfx/LxqcmlqkFZ3LRZ7eEj+HtTQd6E8Pu8qi8I3FCJAG59pbUNmDOfB5aHo4xvun7zNMsvA4NSn5T6j07IY4hWjXUbcriXzi27URULsxKzMCnN/fk4zBOQIY6bEoL4DwMuWZeUAvAxgv/MBwsqIAAAgAElEQVTAsqxxy7J+kP/aAmChBn6xwZwAVegpS6IHxeYP0Fw3xDYgqtYO3UjCVVdahoLUplcvpRrLRgIr7kWNnmNlTL4MClXOEVczEeuoAF0tFmth64EOXmGa+suf9ToW53ls3smRThyF8LBgpuO4ELPGfxnZiWwUX55rrZckLGOtLBQMsFzrQ5sgDSZUqXtQNXlgCMtdxA4u63Wje/2WlJeBLFR0eIU6d4BkQC3GujXptXqFBhrLAPQBgGVZWcMwyg3DKM9vWP34KQCvkggYhvFRAB8FgKVLlyKVSmkQi46Ghgbc6vPEc/hNTU2hvaMDqVSfFL2RyWDT6OjoRCrVH0wzMu5+vnvnDlLjze73yclJdHQ+RCo1IMV3KDMNALhz5w5SmWYMTUy7z3hlOD6eQXdXN0ZHp9E7NcZMf60na7/D8Egk3fVu+9n58+fRO7888Oxu6xQAYHrak+vG9evYPDcToPOgbTKQb6B/gClPnPaRnrLrqqmpCalsq/t7T08Gk5O2nNlcDta0GJ9UKoWxsXH0TqdhpKO9tb29DalUj/u9q2uCSGd0dBSpVApXe+3yvHDhAobulRPTAsC1fLkPDw+7cg4MjGMix5e7adBu+9lcDmNjo5H0N/J94+KlSxhtsWUYyEyDhFu3byOVvg8AuNti1/fYWLA9Oe3Aj1QqhTt5OS5fvoKpdvq73ux30l1G5oGdbjybr8d795CafkB/WQKam+32dvRoCmWGgUYf/Yk2uhx+2Xl48OABUqkuAMDw8Dgy5V6++82TkfQ3b9zE/ME7gm8AnDlzFm11tn5xctJrU/fv23Vx4eIFDN4rR9uDIK/TZ07jfq2d726zXS8nTpzAnAr2THNvKDicO+1VBBcvXsTI/XLcfGi32bNnz6K9jqwbbW+fQDable7jnQ+98bO3L4PRCStAY3CQ3Td6+zIYG5vG6dOnAQC3bt1CavReIM3Q8DjKDY/GcOi7H9lcDr29ve735uZmpMey3nsS5pnJnDePpFIpt10ODQ0hlUrhRreXv7mlGalUB6U0orj7INgHjx8/geHhDAAgN52LvINM/QLA1LQt+/1795FCOzFNc4vdFqemJtFJmCMBoL1jAtkp+fpPpVKYnp5Ga6vX72i4fv0aKnsaic/Gx8fR3+/1p6tXr6GsqzFQF350dpLfAwA6CHU8PDTuyjs05K0Jrly5ilwHfewZGRnHRHm0rbU/ssflGzdvYO7AbWp+AGjJl39LSwuGh3Mot6L13t2dwfj4tFT5d3V75RVnbu7pySCbCy8bbThjtYPrXXZfOHfuHLrnR8utpbUVqdTDyO+56Wm0PWhDKtWNbHYK/QPemosmezaXc9cGp8+cQcvcMnQ8Cq61RvNrQKfPX758xX0+8uiR+7mpqYnI48TJk5hXZb/f4KDXRlRwPz+uj45F13Vj6XRAbgfOGg+w+2d//wCOHjsGAGi+fw8ptAXo3GqfCqT3Y3LSe3bt+nVU9d7C7QG7Xq9evYJsqJ035ueFM2fOYmwsg57eceRC7eDMmTNonWvPGS3D0bU74I1BgL3mFC2/gYGM+zmbzeLChfMAvLkUsPu9kR/rnXfv7uqO8PBbMRtOnkRdFXte7e3LYHSMLevE5CQedj7EqVPeWHLv/j2krDZ3nE6n0+i3MoF8qVQKHR1232xqakJvtS1Lf3+/y8+Z03K5aVC6HhXNzc2oHg6uvSzLijUGhKFjg8oNJTYMYxeAHwewj0jAsr4O4OsAsGXLFss0TQ1iEfDK9wEABw8cwOTtHuD6NQCAw6/i6Gt4evUqmKZcqOzA2CTw5g/d70899RRMc3sgzR9dPwEMDwMANm/eAnPfGvdZdcPreGrlMpjmDim+PSMZIPUGtmzZDHPfWvQ8ygBvvRF4JxpqTr+JFSsWY7h7BEvm1cA091DTTt3sBi6ex/z6+TDNg4FnmetdwKUL2LN7D557an7g2YNTLUDjDZQZZQDsAX3btm2o6r0VkO/UeCPQ7A0GixcvgmnujQqSr7847WMkMwW88Ro2btwI8/AG9/e/67iIlrEBYHICZWVlfD4+WequHMeShXPw9KJaoKU5kGz16qdhms+537/XcxnojC4s6+rqYJqHYd3uAS6cwwsvvIBda+gOBxM37HKvr6+HaR4AAPxF0xmMT+Xc7zTMfzAInGlAWVkZ6urmwjSPBJ5X3O0Dzp/Brl27sGfdIgDAw+FxIPVmhNaWLVtg7rXb8v0TzcCtm3mappum5WQz0HgzkM80TcxtGQDOnMLOnTtx6JklVHmrmvqAc2ew6/nnsW/DYgDA2EQWeP1VbNy4AeaRjcz3DeNK9i7QdAfmSybKygzU3O8Hzp3Gzud34sBGihz5+nZkpyKf7uk1T8M0twIA/vjmScytroBp2sPf9em7wN3gZnTrc1thPr+KL3ye/t69e7FpWR0AoOrED4FJe5Gwfv164O4d7H7xRexYvQCnx28Bzd5Ga9++fVi7eC4A4G7ZfeB2Iw4fPoy6avZUsKBtCDh90v1ut1eTKp8fL7zwAl5YsxCPrnQCVy5h79492LRsHpFPauQGKns7xPt4nt/KlStgmjsBAH/Vcg65RxmY5mE32TfvncHYRDYyfjn4m7bzGDPS2L9/N3DsLWx59lmYu58OpPnTWw2oLC+Dab4dAPC1W6dQXma43/3ylJWVYfmyZUC3vUjesGEDrgx3AGOjAIDVq1bBNLcF6E9kc8APXwFgt7Gqe3a7X7BgAUxzvzvWAsCG9ethms+IlRGAttOtwM3r7vdDhw/hm03ngKFBlJeVR8o7lUpJjbMT2Rzw2itYv2EDTHMTMc3l7B2g6S6qqqqx8qnlkTkSAN4cvo7Kvk6hPuaHaZooe/1lrFmzBqb5LDPP9m3bYT63nEi69txbWLhoLtBnbzS2b98Oc+tyty4WLlwADHqbGtJcb7z2A8CyiHX8Z7dP5eXdj682NgBDgwCAnTt34PAzS6mv/CeNDZhTWe6OIQ5udz0CTh7Dtre9Deb2ldT8AHBp6g5w7y7WrVuHjmwf0qPDkXL+h4eX0D0V/Z2F73V7c1qcufkfuy6hrK8LyEWVoc5Y7SBzvQu4fAG7/esOXx2vW7sWprklQsffRiqPvYaFC+uBvj6m7OVvvoLq6gpgcgL79u3D+iVzcafbLncn31DaXgM6fX7nzp3A+TMAgHnz6oCREQDA5meeARpvRHgcPHgQi+ZWAQi2ERXcKbsH3L6FuXPnRt6p9nwKSI9F3jebX+MBQFVVNRYtmo8jh18EfvgKNmzcCPOl4Bzbc64NuH7VTQ+fkrS6usr9vm3bNphvW4Ha5gHgrD3XH9wUnGNH3HlhL2pvn8eyZfNRPtAD/45p79692LDUnu+utQ8Dp05E3mEyOw289jIAe/wVbYvfun/W7e8VFRXYvXs30HDCnUsBoH7BApQZdp30nrffffmK5TDN56MEX83vMw4exMJ8ndLwt+0X8AijMM2XqGmqTr6OlU8tx4EDzwApe32/aeNGmEc2uuP03ItHsXDBHPc9ALtsUiM3gNYWbNq0CUvnVQNXLmHx4sXuet+Z0zrHR5BDDpgmGyJI2LBhA17YsBg40+D+ZhhGrDEgDB0uvg8BLAEAwzAqAFh+66lhGEsAfAfAv7Isa5xIoQjQdRk3kTbnN5L7mY5YOpV7mgzQ44FcPkzh5AQv9kFE1BiQULyB3GEY+RhUkcTaYlBJeeSu6KDe9VioGFQ3Hyd2gvVMqd/QXkaeFoNJImRJVGVOONQZ66QKkWur4tBUiWOixZSF04SHL1oZyo4hItAbg6qPFiA29wSvd6KXW5w5Qktcp0XoW1pjUKVJ5tNHc8R5X13X6eiEdEyprMQq80VgfCXHJIevQqNd40e9ZoZybZgKSHGwJD7U/IYTD2rl6fHT0+DF7NJp+SL/hcZukTrXMw4EBUjuHlT+cz0xqITxI0+bd7J6saBjg/o6gHcbhlEO4D0AjhuG8UXDMN6V37B+F8B/tCwrqjZ6glmBYi2EZeFtmGYHZst7ziY8qdPSQAL70yd4gscehR6/hGNQBenxY4VLH9KHAcXMX6qYbXNpKb5v7A2qZVldAL4N4DaAzwP4TQBrASyCHXe6H8AXDMO4nP+3IC7P2DDIGgnVCgqTIltn6eltjZU8d5HL5el5bWubrTmJb8EiHpJESE/+LXwAQnJDnHtwE0EDavh2qPKHYbAvtnb58Gj55JGlJKppc5PQLKguPb5WN6gplrWmO/nY6fynf0bySnEM08v/dX5XoEXlQeAnIpMwfYrFMDwmRC1+pLR8aDiTRKjOLIi1YVI+93PoBF3vdx5fw3ewG8laFRqrWFpni9xeWaCN4+F2CmgYI3VbUN2+TCfsNzJRPTIkvUACMviZsNIxGIQPzglbOyNzFYM+qY4M32kmMuMlrcxk+nBEDgL8J9aKE5PNwCBDm5PCXmeCc0cYFqxAfxK1xoXHLtp9qqT1RUBGSsFboS+xrjphWTQF81uWxVzbBYZBSt34Obp8SetEf13m116sNTXP88tmo16ArgU6MA5YzH7NosNMY4jUiRUpE9I4JOqZFF7XOaf4ys4JjuU1SeiIQYVlWV8F8FXfTx/yff4bHTyeYOaiFF0HSPBcY8gL3McNM8Wy/QTieFKnpYE4G60nKC6e9KHiodBlL25BFd2UxHteCpB2ZY1slmbCW/Ix08aBuPKW4vvqcPGdcaB2IEXNVTQPSfvu/Ua6BzVOLJ2qxcGOQeUrTniWB6oMNA0y57ckhzfPWhbSgPrqXtQS6dLMW1KEtLGciva0c7x4AvJvYlo7T0NI1AYSLF00uUk/ixedoxBgg9TOSVpOUYS13TSrehxEtJTc+xvlmNPqhmYdpsnlT8uClns8BepM5b65ME2SFZZ196afL8uDIXxHJ2vsDI8hotp09nN9I6PuxYiQ50e+/FjxTrJjb0AGIWsEx4KKsLXGcuXi5fVo0BPZZz6ErEoCoJWZjFxROQj07IdFAevaF9ZdmzLwjy+i18yE1wb+v16a4BwVGJ99n+mWa396PQpynicfDeF3IMkS9OYg5/fzY3n7+WNm6XNldN5iyRQHtDM4pMclwbFC5P5SI2RCJZW5zPkT3m/OmCx/Do6hpZWyMSs3qE9QWJSeXoYMsa3h44PZ8p6zCU/qtDRgu049wUzETPH4eRxR6KIXVdSI9mW+BbX0R4W4+7DSf0MxzLRhIO64VYrvOys3qFQtFtQGkHAefgxqSBvI0e7z+cvDtbYJaU7oCdiasah8IrGqSfq1s2JXPEuanAZT5CRkB7x0cV7dcgI4BHnQ4o2IMRg0iweiaUTrTyRuLUCXkFcJIX6exljfEG2FCoYnrq4YVNq7EdM6aUSsexqWHSLlbMf6aODF+U7izIupCUvtjyeMpLWC7yEVGy7wPOnYH1l4sbt0OJt2VlvK26HUZBCwRjjpGA+J7VPKW8nxXuB4C8n0eX7/kzah0q2VcpS0wbZeC24YY3QAmneJDn7+NYQD/2f62jPoBRMvBpXeF0XmOMeaFrYKk3iEP5O++/my+oTDU/XVdXmYeE5sIS8oWddnibGCBYe3qGcGWRbDVwceHc9KLt73PJr6PBtomJUb1McFM0XTOxPEDEwQqjS0uohynuvgoYFGsVGKcRPFhExpzJTxQwS0ax2CicRfOG7RlLoFtdh1X8r9lqr8SYC+VD5O6JAWFL1dSKaXVewp5LcI3yIuvvm/mtUIMx66mhPJ7T5pFKorJFFGSvn1iKEVs3KDShskwjFGquD6/hN4xGlcajGolqYYVL5mLPAbydIa+Sm5YZx1R1i8GFSxCuQli9P+/n/2zjs8jupa4L+7qy65SnLvBRtjXGgGY4zpJkDoCSUkBHiEJITUR0sjhCQEeAkQIAGS0AMhBhIMGMeABQZ3Yxv3IluyZVtdsrq02r3vj9ldbZndnS2yVuvz+z592pm5c+6dOXPrOfdeq/P3Ij1nVBZFv1HGKEfgvPdFiCIgXfGiA2SZDJgmJI5Q8ZmGj7qhZd4hC56DGtm748jNQQ2dBnyuJUTNQaP64YN78kJY654OsByEGbXWAT1Ua/kyfKhErVLZHVjWrVLhrdRxWI+szMMyAoa/ZGp5CuMpFEp8pLouqiwfIdro56CGk9VD31YI/VnxuoouGuWV6+/oEs4CZVm4IStaOQGDInFZUMNcszoHVUeozcN5c4SbQmp2qasdoON69kR9teYeZNH3DRJkQPWZJ+pzn0n9Fks73rdMjn4OavcPuByVHdRUIRlHPMw4UiNe8RCvW02iiWfQ4GhC3oM/0QwSJLMVK2osWL2OtHU52TqRvvS05pM635oM+HST+OjuizTwnQB6W5kQ9eJyoUyf4SMJXiQp0K5qcQAjmcsED1F3xMJ0UBP1fQYO+B4JjlheSJgJNUFykoijsoMaboTwSBQfgXHE2zGKtdCLNOcqOJ7orpmmy4JV9UjMQTW95pOOaJIQfjQ6CkFEr8tYviW/50zw6HQ090c/Uh8+3bFJOjIDE0e6WRJqH9SeJNq5yXHFFeHY/J7w1r1AORHDKvPfVmQnQl688UUly6puLcQba7qiNHKZX4vCih0pjFUPIisk+p2Frwd7hpD7AJudiyKfhr43/Lw9f3nW3krE78NyPoldC4luT4bczzdU+HBzJSPIMu6PjUTVdYmTY8HbwurcZgLqHstpsCY7lrcebf8hFo7KDmooEjeQYTZXJPp7IsYTx/BUND794a5GP4cjOTAbSI3LvRZr+rD6LiLPQY3+G4saC5YEfxep+OMxvZxgM4GVZ0lkHN2RR0Ll32gWPOspK1b4KQMxyvSTH8bt1mK8VvNXOJlJNDYQRHd5tURaAKvrd+hQ8cUfP/7PoBMm1yvRa4aL0vqXwDSEkpfUlm0TEjkHNXS90OXeqUOE9U51MonIf4HMyOlKVN6M1eLucfe0moywFtQo8k+4OKOtTxNBd89FtyrbcpsxQkjT78Gi7J7iqOygJtLiFVP8Uc6Piiww9hsT5rdvNlps0TqXqBG0ePG3jkRjWk5cio+ENT3SXLZ45yAlwpJhGj5CuqOTFct4ZKLi6z48FU7XHNTIHKk5qN33ZZhICGo0WcsXibRiRvu9RrYKxebhcSSwvsppYqyU8aUhjIWH+BvAKoxNIp75teGvRyc4vJUrKlEJI1S8VqxuUcXjI8OqqhNlsYomn8RKopuTkb5jK+HN7gt1R6x1ZcJW8XX/D/w2os9jiQnjiTvcqvCx7GPqKyuWVxdpZeFEcFR2UEORMH9505GriCaxhMRj+d4Y4jEdcY3i/mTCbA5JPAWc1tZGpK0vpmRtNMwvVMLnI/n+jmyVit36FY8FPwbPg5DPkrgX6G8tsmBZj9aaEuK9RyxmElbGWRdkxTrZJbf70hM+3uDywCSQiczup7vmQXZH2iMtkhQpXNwrUSbgoczyU0irfBzyo743RotYVFHE80A9QKioQ54PUx+Hu6dr+xhrEUZf/ocU1SPoOAoIv21MonAWMNpQ5hZXM6+G7iZUeZV4j67oLZ+m4cLcq3WIrzDRz5JQaUdpBzXs/ItkmrRlkeRIsckoZ4x39uAigj3OkU5Dt7zrbnoIfwt38siKNr7uJGhVbSuWQyvWvW6wasYbLqyMCMeWbwwbNIIlMNr55FE8eCLeUW9YvC4aEmGfN9wbQ7+XI60jr6yI31qU8sK1gXqoJgwVq6kFL540qi4Ld8ItqAnWU09gydvE15sj0CMw3vjjvD9euty5u798jHUNGLP6rSfKc5mDegRJ1AcZSUrwx6WO+KiZd1sFC64B0VgeItHTAwDewico2f4nokmlp6JL5FzDWOYl+M6ViQezdxTa4qEjhokmHvNIwlxKoOdBIvNgd8xB9R/tD2VCtR5PXHPYowgb+EmGjza2NFmxIkeag6oCjiOFMWSG68yY/46WrsGG2GUE0l1tmbDeDnQ1bMN5ZMTT+UhEHW6WnUJJjcWNN8YpqKbPFs/zms9Ji0FeD1bp8TbKrVjG/L8HHXSfb5hIdWeob8PSPs4W8Vp7zeKxIFy50xNuC8HA8KHoyj86ZFjfDqEneeHqjCPWDwuoYrvGfBPrph2x+WPV686inECvAUVsWfhINOWlgyoIHnp66E4Q4iS1bGK9m17ojCNwBBvAQo9jWdVRen+E+oZ6RZkQtTm+W1LR4/S2YiAVy62jsoMaaoTWGL2Nn0irp5mtehbTXDrPaFNMpZ72jpzEsvpXIPEskhQYsDtdjCzrPhrXC+Xx8U+AqcyiVdHse/FYxSMRboED33NWVt00G12O1h3KqgXfb5GACOkKLy/EO+guq5IVvVj5dEKMIptZRUMt1GIm40gtkmRFRKxlsP/70KYL0UWcH6l8Fn0Imb98XdsiqS2x5Zi/i1d8si2WVlGhDD+z0HG6h+tVGN/KuLxAIujYGyyCe6upNT6EZSdEMtzxBIdWqkt+NBoI9f1Gk4eD5Jmct1qHdAehF0kyO2n8i+Yb7iobfeRamoOqu+obj/U7IHSXmGDrpe/vcO0P3/DxeJqpMO/GyvvyvJZQ1kzfOEyv+5zostoF3xcY3BunSZgjO0fX0y7xryyjzmOWps5Yaf94vB197jOr38LJ0OHye+Tt1XqKo7KDKghm9LT7sSDESyqOovZWpDjppUgmOmqwqulo3TpDGRx6Q5kQ9Wq1veGhYqDXFQO9LsGROTo7qCHnAYS+Fg2R5ooEWVCJbVQoWouV3726a1TGyghOODmh0mC+hYlZuMhhEkWoCiRw4C6aJASOroYj0qh5pDla4WVbHbXzG4oLvm5iRLKyt2TMc1AjhDP7xiKuqhhBntkiD4m0KQWvDhleL5ZWerQcV9e7DVSvmVXcklUoUE4Mr8qKzmK14ARavUy+agvzIyNZH3SQ3HDPYva9xkO4bQaiRsemw3BEqsc87y/caH88XkzRem6YXgtIW9eqotp7PaJ8n0V4TNMYYFWyQkiLp8/1aAhpyYtOTEIJlSbTdoT7fzTvMNCKp1CW6i/ftoHZ/GFf7ykzz56o90fXweVMNITzCLLkYeC+tevbCp+aoPabSRgd5mrwIkvBYRI5RzcSZnVACMOuJTnhw6jIdb+7veLfZgmOK1LZa/o9eD0po//ijoTl9ejsoAqCCSk6ECgcRaTgIGqvRcqT3onkoaMHq4OS0a5A3pu/oVjcxVOR3qbD3pZeKySkg6qU+rlSardSao1SakzAtZuVUruUUpuVUicmIr54CZmhdGwjCWZygk75nAuMI9ZNdmOdfwJd1rbAUUTzeEIHMJsf6MX0VGSrardaUN3/g1bh09rUqmZJplt/VlQY6V17o42oE7Nz1uZJRJqD6p2D4Ss7VDoiyLeC1X3AzNIdm6XZ30wTy2h85Dh8flvQiyXru6+lNMScnMCR/MD8Zj4HNUqrO+Z6j6RHKzozRnSjLwAC30208/w9Ogr3LQTK9Z1PaIZfeRImnFUSIsPHOpDo9kzEeszjtYMK7ZFB7NZmI/7ITxUxL5pYa8J5CgXJD/rhH7dHelQW1BDvLHDOuWV5ITynAudZH0lCRmv6Hi1WlD50eYwob3yBc9dN7/NpF5rt0+k/XzM4Xb5hQ73boJVV4zKhBtffXbIt5A+U28MitNeA/3oQwe1Zb3ze/BNGlk/YUHWlFW+uRGFWT3VXvlBELge830OYdpsxdz5c/Waue19Pymgxs7wmWjdxd1CVUqOBy4FJwP3A732uZQN3AzOBa4En441PELqLVB0JFI4eUnEUtbci5UnvRPLQ0YNVXYsFNXHhewu9TYe9Lb1WSEuAjLOARVprp1JqEf6d0FnAaq11E7BJKVWglMrRWrckIN6YCcxPuyoaAXDFsFKXGQ1tDq9MD+2drq74A0f3Q9wTibL6VlN5QERZnU6Xd1SmpaMzbPjyw20ANLQGp7H8cLuRBpP7TM9ZsfAlxFYQQrY7AdVN7X7P0tzuDAgXhUyguaOTwy2OoGt1LR1+8TS1d0aUBVBW1xpWJ4dMdNLqcJGbaSG9yvx34LkDPmnYX2eeZSsb27xhqptCfwvh0nGwPvyzHjzs/s5N5mDUNHVEnW/qmjsC5gdaS0dUcbR06aWj0xXxnZQ3tEXOs66uGqi0tpmsdGN80eVTM9W3dABdzxSo39KaFtJsxsmaZuv6CpRzsMkVlN5I9aNHxr7aFrLT7aZhDrc6YiqDG9u6yrAWh5NMu//Yq8Iog0O945YOp3t+pBG573ftoc3hxPdtKaCtwxlSptk3Fg/hVnG0LANDT8VVTbR2hC+LYpFd0xw6P9Y2dxg+Owoa2szrnIbW4DLUcvzKP9+FS2doGcqtZ4NDh40y4aC3ro383j35NNTcyVb3N9PW6Qy6HjpdRvke+Gz761q7BEdJhyu4ndDc3tmNtW94Qr3acG2L/bWt9M0K1rfZd+gMsOIp8NPBroomMtPC22z21bSQYbexr7arPtxZ2UhNU4dfug6662cwyn/fdJtZr/dWN9PaYaSlzeFMyBzU8ubg76XTaa0X0+LoZE91s588szjCxQ9GO2VXRSMHPPnHLLz7ZGltMw6X+fzbfbUtXt2Ueb75bsKTxz11KcSmE0tFtAKHM3S9BOB0dc3dDyVcKaMu8mVXRSN17meoamz39kEO+7QZPXVaLN+bmeXVpSP3PaIhER3UQUA1gNa6UyllV0rZtdZO32tuqoDBwN4ExBszaTYb/bLTvcfn/fET7++sNPOGUzgyAgq1D7ZV8sG2ypDhMwPiyEy3U7SjiqIdVVHHDV1p9jRYwf+ZQt6Xbicr3c7qvbWWwhdXNYcMl2XS4DQ/ZyOwCRLYWM1MN68kbMrIAPGgMPT1wopSXlhR6nfthFH9SbcrHE5t6TsoyMsAjOf8dHc166kPSuNb6w/w1voDYWVUN3UwY1R/ryyAO9/4wtLz7Kps8tPJeVMGR7zH99nMntNz7t63NkWU9fTHe3j64z3e4wy7LaiwG52fa5RTmxMAACAASURBVJ4O97Pet3BrxHiM8P7fRWaajZdWlvLSytIQd4TGN/970vHz/2yJeN/EQXlhr2em2WjvdLFw40EWbjzoPT91eD/v77EFwTIe/WAXj36wK2L8Hm7/x3rT8//ecNCdDv8ywdMouu3ldX7hA8uuUAR+J79Y3gbLw5cZWek22hwuBuR05ZNwafcwtsD8ewnHxzur+HhnV/l5xsSCgLTY2VsduvwCmD0+n3S70YF6cmkxTy4tDgpz7NC+PjJt7KhoDCkzJzPNJ6ydEQOy2V3ZBMCEwX1CpuMEd1lQmGeMNh3v/nZ8y9PAvBCJATnG9z6+MI9dlU1c9+wq77VZ4wZGJSsUWel2Xl29j1dX7wubjqw0Ox9tr+Sj7eZ15PjC6PTv0UlWmp23Nx7kbZ98Z0ZmiMERMN7rtkMN3uPfvred37633Xs8amCOX/hjTPSYl5VGq8NpqqOsdHtQmQ1Q2Cf8yGJmmp1thxpC178W6qtBfTO9cWWl29nf6DKV5/n+rBL4TmIlsF3kIVzb4gf/3GB6zz9W7eMfq8y/Q49estLt7Klq9p6/+E+fhkxbf3f++fYrnwddm//oMu/vfu6y7tfvdNVpvh2qrHQ7WWl2Wh3+nYkb/rba73h8Yfh6Jhyed/O71W38brX59zIuoIwd0i/L+7tvdjqr99Zy9V9WAOb5xVcnnndjdu3372/n9+9vN70WeM5TL2Sl25k1Lt+vfPiOyXsPx4QI9bQvEwfl8Ym77jhl7EDv9+GpS8FoZ3ny+ogB2QBMHhK6DAewWeihZqXbqWhoj9j+zkq3k27rKk+yAurtrDQ7X5Qd9jvnK/Ovn3Z1uT7fV+937dihfU31YiXtZvdZ6UtYRcXrM6yU+l+gU2v9R/fxQWCk26J6NTBHa/1997UVwPVa6z0BMm4FbgUoLCw88fXXX48rTaHY1+Ck3QkTB9hxujSry524tCbd1jUn4bh8Oznp0Y8nlDY4qWjR5KUrmjrM32lehqLdqTm+wO61YoBhjShrdJneE4l0O37ydtQ6qW51eZ8pJAqmDLTT2qnZezhy3A0dmr4Z5jL7ZCiOzQ/+UB0uzaYqJw4XNHZoCnMUxxfYaWluJi+vqwBp7dRsq3GSYYcWBxwzwEb/rODK/WCTC5eGEX3i80zfU++kujVYR6P72mhyaGpaNUNyFaP6hs60Fc0uctMVeRmKqhaX9x0OzbPR2KE52GQcm72zvAxFug1aOjUj8ow4h+fZSLMpXFqzudpJmwXjhplOxve3kZ8d+f1sqXbS7NCM6WdjUI5/eO1OQ2tAGpodmqw0owFvw3xlu/xsxeC0Vj/9Aqwp72RglqJ/psJug/6ZNrTWbKlx0eKIXAblpBt509eCseewk+qW2MqvQTmKMf0M/RrpcGJiAPeiFGSnwbA8GwNNvk0PjR2aXXVOOgOy1MQBNgb43Le6vJOGduM7S7cpDrdHN5cqcDB1SK6NPfVOstOMb3KKOz+2dhq6HN3XxsEmFwGDrBRkK8b1t1Y5bal20ujQ2IC2tjaysrJMw7mAdBtMybdT2eJitDsfOV2aTdXOoDQEMizPZjmP17S6qGrVNAS8v7H9bBT6fNd1bS521YUv5zx5YWedk/o2c3346rG2zcXuAJkOl8bhgtx0QweHml0cbtdMLTDK2pLDRrkxob/N1Bp3sMnFgCxFdppxreSwk5F9bNjdZcOmauPbmlpgJ9NuvZ7qdBll7Lj+drbXOnG6k51hh2MH2slM85fV1NQUlIcjsfewk6oI+XFQjiLDrsLWd8PzbAwPo//SBiflzYZVoaFDc+JgOwOybOxznzfD4dI0OWBormJqgT1k47G82cW+BhdpNrDbwNfhJScdJg20s6bcydi+NlqdmrF9g/VY2uCkskWbtiUCv5nx/Y36wlMWhaKm1UVxvfk7y7DDtMLQz+TB4dJsr3EyOd9OQ7tmS3mLaR4e1dfGkFzrdWy7U7OmvJNJA+x+eS5aGjs022qdNHdoMtMUbZ2anDTFkFwV9H48ecFXPx0ujVODw2le74JRVk4tsJOdpjjQ6OJAkyviCq1KGXlkd71/2eXCf45cms2QvbPOqNPanMY3mmlXfm2/fY0uqls0eRmK+nZNh9N4Tl8mDAhfz4Sjw2m8m+YWkzJawYBMxbA8G7kB3+aGyk6y0xT52Yo97m/NbjPalxkBZU2nuyzPshv62VVnvMdBOYosu2J/oyuofZKdZryfwPwSWC9MzreTaYeqFo1La9M83dKpmVZoD3pHew472XvYxYxCu6V2EEBbp2Z3vZN+mTYG5Sgy7YptNU4aOzRNDk12msKu/HWy97BRp5rluZLDTjo1TLBQrza0a7bXhq8QlTLq0tx0xa46Jw0d2qsTTzld2eKi5LDhFWlTeMt38G8nmrUZJw6w0eKAA02GzqYV2ulwwoAsxcYqp3uVanBq6J+pyElTNHQYdVqGDbbUuNjXaDzDwCxb1PNG77ruvHVa65NMnz0BHdSvAcdqrX+qlEoDSrXWw93X5gDf1lpf7z7eDczUWoe0AU+aNEnv2LEjrjQJyU1RURHz5s3r6WQI3YToN/URHac2ot/UR3Sc2oh+U59U0LFSKmQHNRGr+H4AzFdK2YEvAcuUUg8rpc4HVgMzlVJ5SqnpQFW4zqkgCIIgCIIgCIJw9BL3HFStdblS6jlgB9AMXAI8AgzUWncopX4GrMfwiLgm3vgEQRAEQRAEQRCE1CQRiyShtX4CeMLn1Fd8rr0JvJmIeARBEARBEARBEITUJREuvoIgCIIgCIIgCIIQN3EvkpRolFKNGO7CQupSgP/2Q0JqIfpNfUTHqY3oN/URHac2ot/UJxV0PFprXWh2ISEuvglmR6gVnYTUQCm1VnScuoh+Ux/RcWoj+k19RMepjeg39Ul1HYuLryAIgiAIgiAIgpAUSAdVEARBEARBEARBSAqSsYP6TE8nQOh2RMepjeg39REdpzai39RHdJzaiH5Tn5TWcdItkiQIgiAIgiAIgiAcnSSjBVUQBEEQBEEQBEE4CpEOqiAIgiAIgiAIgpAURNVBVUqNUEq9p5TaqpT6RCk1TCk1Tim1Tim1Wyn1U5+wP3efW6OUGqOUyldKbfD5O+Ab3ue+i5RSO9x/F/qcn+G+Z16ItJmmw32tUClVHepeoYt4dOw+N8ut341KqdtDxBGrjr+tlNrmTtsdPucHKqWWKaXuS8xbSF2i1K/pe1VKfU0p1R4mjiD9KqXmKqXWKqW2KKVeUkqZlj1mspVSxyulPnJ/V7fE9QKOAuLRsVLKppR6yn3vVqXU/SHiMNPxt5RSm5VSm5RSbymlckzuC0qHUuqnAXVDW7e8mBQi3nyslPqNUqrY/b4Xh4gjah2H+36knLZOnHk4rraW+9rZSilXmPSZldOPK6W+cJfzKbv1RaJIQB6Oqa2llDpPKVXh832MNLkvVDpExxaxql+zcD4yYmlrWdFvUFtaJWM9rLW2/AcUAnPdv78HPAz8HbgCsAOrgCnAaOBz97lLgH+ayFoAnGRyfgswHBgK7MToRB8LrAHeB+aFSFtQOnyuPQ98HOpe+Uucjt16mo6xx24RMD6BOv4SkO3+KwH6AenuNP0NuK+n31+y/0WhX9P3CtwA/AvYHyYOM/2eDIxyX38DuMjkviDZ7nRsA2b29LvrLX8J0PHxPu9+NzDcoo4nAenu6y8A15vcF7Kcdl8/DljY0+8w2f8SoOO/eO4PE0esOg76fqScPrL6DZBlua3lPp8NvAeUhpBnVk6fAnzo/n0m8F5Pv8Nk/0tAHo61rXUN8IsIaTNLh+i4e/QbFM79O9a2lhX9BrWlA64nRT0clQVVa12ltf7EfVgCDPD5UJ3AO+7js4BF7nOLgNN85SilCtyZaW3A+TFAvdb6gNb6ELAfo0LcCVwAlIdJnlk6UErNd9+3N5pnPVpJgI5Ha603aq07gYXAfF/58ehYa/2e1rpVa90K1AB9tNYOjA7ysnif/WjAqn7DvNf3MApAp5n8UPrVWq/RWu8LiDcQM9nzgHVa6/XWn/LoJl4da603uX8OA9ox8pqXMDreobV2uK1qo4DtJskzLad9uBl4MeqHPspIQD4eCFSHkh+Pjs2+HymnoyMB+gViamsB/BL4ExBqBU2zcroJyFVKKYyB4zrLD3uUkgAdx9rWCpv33ZiV06LjKIhCv2bhIMa2Fhb0a9aWDgiSFPVwPHNQrwYWA7laa48puBIYAgzC/YLcmceulLL73Ps14FUTmd77fOVprZ1a69oI6QlKh1IqF7gLMHVTEyISi44rlVInKqUygHMI7ojEo2MAlFITgTStdZk7/sqYnk4Ip1/T96q1rnEXrqEw1a/nQCmVDlwIfGRR9lTA6XZ9WaOUmhv5sQQfotaxUipDKbUZw0PiHp/7PITUsVLqJeAQsExrvc4kPabpcN+bDlwEvB3VEwpR6xjDKvOyMtx1f2xyPWYdh/p+pJyOmVj06yGqtpZSagYwQmu9KJRAs3Jaa70VWAKsBO4FfhL2iYRAYtFxTG0tjLz/Q2VMt/mbUirbRHZQOkTHcRFWvybh4mlrWdEvENyWdp9Lmno4pg6qUupLGKOnCwgeZVMhzvnydeBlE9FmI3aB94bCLM4HgIe01i0WZQhu4tDxt4A/A0uBWqA5IFw8OkYplYbh6mLWqBIsYkG/sRJJvw8Ab2itD1qUl4fhvnI+RrnxdBxpO6qIVcda6w6t9VQMN58HlFLjA4OYRee+9wZgMDBJKXWDmfgw6bgE+EhrHXLOjeBPHPn4Cq31CcAc4Hql1CkB12PWsYXvR7BIAsrpaNpaNuARYuh4uC21FwKPAy0Y5bVggTh0HGtb63Gt9URgGuDCcCsNJCgdouPYsKrfgHBWiEe/4drSSVMPR91BVUpNAB4ErtVaa6BRKZXlvjwIoxd/CChwh08DtGckwD2xutLTQPWZmLvA974AeWbpuMBnMm//EOm4DPizUqoEuAp4TSl1drTPfLQRj4611p9prU/RWp+O4We/OYE6Bvgj8F+t9QeJfeqjB4v6jUaeJf0qpa7CmDNzn/vYTL+B1ANLtNZtWuttQL8AbwzBhEToWGtdjuFWdkI0edg9QrwAONViOe3hJox5jYIF4tGxOzxa63oMq8iUBOrYE8b7/STgcY864s3DMbS1KjDK55XuNtMIpVSJUupSC+X0dcA7WutXgEuB38TyzEcbcebhmNpaPnnfCbyJkfetlNOi4yixql+TcKHkJUq/ELotnTz1sI5u0m8fjInZM33OPQlciZFBVgOTMczM69znvgy85hP+KQwlhIpjHf6TfpXPtecJvYBOUDoCroe8V/4Sq2P3PbMw5ielJ1DHtwD/CHHtRmTxjYTpN9J7BUrCxBGkX4yGz1oCJuOHuL/E5/dEjAXO0oDxwOaefofJ/hePjoFcDBc/z+8NBCxkFEbHk93XFPAs8G2T+0zT4ZazpaffXW/5izcfA0Pd/zOA5ZgsQhaLjiN9P1JOHxn9us/F3NZyXy+JkMYSn9+3AH9x/x4D7Orpd5jsf4nQsft8VG0tT953X/8/4Acm95m1+UTH3aBfs3ABckrCxBGrfk3b0iRZPZxGdNwOTACeU0qBYea/FGOC9sPA37XW2wGUUs8BOzDcDi5xn8vCWD0qnHvm9zDmp9mB27X7rVngPrN0CFETr46vx3ARagCu0cYE/0Bi1fGTwB6l1Ab38R+01j0+kbuXYVm/cRCkX6XUQxhugR+74/1Ea31HGBkAaK13uUcL12MsFvCdONN2NBCPjrOABcqYv+8CntbG3KNAzHT8c6XUTMABrAD+anLffSHS8XXgH9E+6FFMvPn4KbfrrQZe0uaLkMWiY6vfjxCeuPTbzW0tM14G5iulNmJ8U1JORyZeHcfU1lJKfcPtmu8ANgJBWxBhUk67reqiY+tY0q9S6p7AcFrr2RbjiFW/odrSSVUPq/jKJEEQBEEQBEEQBEFIDPGs4isIgiAIgiAIgiAICUM6qIIgCIIgCIIgCEJSIB1UQRAEQRAEQRAEISmQDqogCIIgCIIgCIKQFEgHVRAEQRAEQRAEQUgKpIMqCIIgCIIgCIIgJAXSQRUEQRAEiyilLonxvqlKqaIIYTqVUhuUUruVUs8ppfpECH+BUiojlvQIgiAIQrIiHVRBEARBsIBSqh9wdzdGUa+1nqG1ngDsBP4WIfyvAOmgCoIgCCmFdFAFQRAEwRp/Bma6rZzFSqkfKqW+UEqNV0rdoZRao5TappS6GUApNVAptUQptQH4vkeIUmqQUmqRW87TIeL6PXCyUirf/bdUKfW5UupTpVQ/pdTtwAnAcqXU5RZlCoIgCELSIx1UQRAEQbDGvcBWrfUMYD8wQGs9TWtdDDyjtT4ZOB24yx3+DqDIHX6Pj5xfAg+5zxcopc4JjEhr7cKwok7UWtcAF2qtTwDWARdrrZ8ADgKztdZvWZEpCIIgCL2BtJ5OgCAIgiD0Ut72+X21UupHGAO/A9znTgAecP9eAlzg/n06cIZSygXkAaNDyE8DXEqpQuAvSqlJQD6wyySsVZmCIAiCkNRIB1UQBEEQYqMNQCmVA/wfMBOoBA6ZhNUBxxdorc3C4ZaZDkzEsKL+BCjWWl+plPpNmPSElSkIgiAIvQGldWCd2bP0799fT5gwoaeTIXQjzc3N5Obm9nQyhG5C9Jv6iI5TG9Fv6iM6Tm1Ev6lPKuh43bp11VrrQrNrSWdBHTx4MGvXru3pZAjdSFFREfPmzevpZAjdhOg39REdpzai39RHdJzaiH5Tn1TQsVKqNNQ1WSRJEARBEARBEARBSAqkgyoIgiAIgiAIgiAkBdJBFQRBEARBEARBEJKCpJuDKgiCIAhC72B/bQv9ctLpm5Xe00kRBKGX4HA4KCsro62traeT0mvp168f27Zt6+lkWCIrK4sRI0aQnm69npAOqiAIgiAIMXHGQ0sBWHnPOQzpl9XDqREEoTdQVlZGnz59GDNmDEqpnk5Or6SxsZE+ffr0dDIiorWmpqaGsrIyxo4da/k+cfEVBEEQBCFqfLep+9ZLsvq+IAjWaGtrIz8/XzqnRwFKKfLz86O2lksHVRAEQRCEqGnvdHl/N7V39mBKBEHobUjn9OghFl1LB1UQBEEQhKhpaHV4f08e2rcHUyIIgiCkEtJBFQRBEAQhalbtrfX+7nS6woQUBEFILpRS/P73v/c7N2/ePE466SS/c6eccgovvvii9/jf//43M2fOZNq0aZx99tlUVFQAsGbNGo477jgmTpzIc8891/0PkKQsXLgwIXKkgyoIgiAIgmUcThfffeVzFm8p955rc0gHVRCE3sPEiRN5++23vcfV1dU0NTX5hdm3bx91dXUsWLDAe2769OksW7aML774gjPOOIO//vWvANx111289NJLbNiwgQcffJC6uroj8yBJxLZt23jhhRcSIktW8RUEQRAEwTL7alt4d9Mh7/GssQNpdTh7MEWCIPRWfrVwC1sPNiRU5pRhffnlJceFDTNs2DDa29upqKhg8ODBLFy4kIsvvph33nnHG2bBggXcdNNNPPvss95Vcz0r0TocDnbu3MlXv/pVOjs7KS4u5oQTTgBgzpw5rFy5kgsvvDAo3vvvv58333yT9PR0HnvsMWbPns3zzz9PUVERu3fvpqqqikcffZQLL7yQyspKvvGNb3Do0CFmzZrF008/TUlJCTfddBMZGRkUFxdz+eWX89BDD5k+43333ccbb7xBZ2cnS5cu5e677+aqq67yPueCBQt4/vnnufHGGxk4cCAfffQR6enp3H777Tz55JPU19fz8ssvc8opp3DjjTcyefJkXnvtNR5//HGGDh3KzTffTH19PVdddRW/+MUvuPnmm9m6dSszZsxg3bp12O32WFUoFlRBEARBEKxT29zhd5yTYae1QzqogiD0Li655BKvS6qng+rLggULmD9/PvPmzfNzXb377rsZMmQI2dnZXHrppdTW1tK/f3/v9UGDBlFeXk4gK1eu5JNPPuHzzz/nzTff5JZbbvGuhr5582aKior44IMP+MEPfgDAr371K+688042bNhAdXU1H374IQCfffYZjz76KFu2bOGll14KsvwCrFixgo8//pgNGzawefNmhgwZEvZdOBwONmzYwNy5c3n++edZuXIlv/71r/nzn//sDbNt2zZvmB/96Ec899xzbNiwgXfeeYfdu3fz29/+lnPPPZcNGzbE1TkFsaAKgiAIghAFNU1dHdTcDDv9czJYV3r0ubMJghA/kSyd3clll13GXXfdxbXXXktLSwsFBQXeawcOHKC0tJQZM2Zw4YUX8uqrr3LdddcB8OCDD/LAAw9w55138sADD3DbbbcFyfbdhsvDypUrOf/887HZbIwcOZLc3FwOHTK8UWbPnk1aWhojR47EbrdTX1/PZ599xrJly7DZbDQ1NVFaWsr48eM55phjGD58OBkZGQwfPpyamhry8vL84lq2bBnz58+33FGcN28eAGPHjiUrKwubzcb48eOprq72hrnkkku8v1esWMGVV14JwOHDh9m7dy/p6emW4rKCdFAFQRAEQbBMq6NrS5kfnncMr6/dT0NbJ8t2VXHGxMKEx3fz82uYNW4gt84dn3DZgiAcvUyZMoXS0lLeeOMNzj//fL9rb7zxBg0NDYwdOxaXy0VtbS3Nzc3k5uYCkJaWxrXXXst9993HT3/6UxoautyUKysrOf3004PiU0qZdlwBXK6uefy+YRYvXszQoUO9xyUlJWRmZvrdayZTax20vYvvcWtrq981X5m+HU1f2VlZWd7fdrudDRs2+MkoKioKSkesiIuvIAiCIAiWae3oakj1zU73WlT3VDUnPK7KhjY+3F7Jb9/bnnDZgiAIF1xwAXfffTeXXXaZ3/kFCxawaNEiSkpK2LdvHxdddBHvvvsu27d3lUWLFy9m6tSp2Gw2pkyZwrp162hubuaTTz7hjDPOCIprzpw5LFmyBJfLxcGDB2lubvZ2Pj/55BM6OjooKSnB6XTSv39/Tj/9dP79738D0N7eTnOz9TL2tNNO88blcrno7OykoKCA4uJiAK+7cKycdNJJLFq0CICGhgYcDge5ubmm7saxIB1UQRAEQRAs0+azIFJWup0/XTsTgPy8jITHtaaky3X4PxsO8LW/rsIhW9oIgpAgLr30UvLz8xk3bpz3XHl5OZWVlcyZM8d77pvf/CYLFizgueee49hjj2XmzJls2rSJe+65B4BHH32UG2+8kWnTpnHvvffSr1+/oLhOPPFEzjnnHGbOnMmll17K008/7bVqjhw5krlz53LBBRfw2GOPAcYc1Pfff58ZM2Ywa9Ys75Y2Vpg7dy6nnXYa06dPZ9q0aVRWVnLLLbfwzDPPMHPmTHJycmJ6Xx6eeOIJHnnkEWbMmME555xDe3s706ZNo7a2llNOOSWqzrQZKpSpuaeYNGmS3rFjR08nQ+hGioqKvL7uQuoh+k19RMepTST9Prl0Nw8vNurpp284kUmD+zDvkSL+8JXpXHHCiISm5bnP9vKrhVv9zn304zMZV5gX4g7BCpKHU5tk1++2bds49thjezoZScPzzz/Pli1bePjhhy3f41lVuLdgpnOl1Dqt9Ulm4WUOqiAIgiAIlmn3saBmptnISDOcsTo6E2/ZrGpsDzpX29zBuMRPdRUEQUgY+/fv91tUCAias+lLPAbDaOPqDUgHVRAEQRAEy7T6dVDtXR3UbnC9rW4K7qDWBGxzIwiCkGyMHDnyiHUSj2RcRwqZgyoIgiAIgmUqGro6jZnpR86COmJANgDt3RCPIPR2nly6mxufW20pbFldC1f/ZTmbDxzu5lQJVrjxxht55JFHejoZSUXcHVSl1Byl1Cql1BdKqRVKqckB129WSu1SSm1WSp0Yb3yCIAiCIPQc++tavL8z02xk2I2mRHd0HKt99lz93tkTjHh8LLiCcDSjteYX/9nMok2HeHjxDop2VFm6b+mOKtaU1PHYh7u6OYWhSbY1cITuIxZdJ8LFtxi4SGtdrZT6JvBj4H8AlFLZwN3ATGAs8CxwagLiFARBEAShB6hvcXh/Z6bZvR3UNSW1PPfZ3pD3/e3TvZTVtbLpvvPpk2VtQ/eqxnbOmTyIKcP6MvcYY+KpWFAFwaChtZMXV5Ty4opS7zkrnYHSamOF1SVbK+h0ukizH1mHyqysLGpqasjPzw/aq1NILbTW1NTU+O2haoW4O6ha60MAyvjCjgW2+FyeBazWWjcBm5RSBUqpHK11i4koQRAEQRCSjJqmdnIy0sjOsAPQ2NbpvTZqYA42m2LkwGyKdlRZsuDcv3ArD189PWI4l0tT3dTOpCF9+PH5k6hvMaypHldip0vzrZfWMWvsQP5n7rhwogQhJalpDp6j3dwR2cPAdx73loMNTB/ZP2z4nRWN3PPmJo4b1pf7L50afUIDGDFiBGVlZVRVWbP4CsG0tbVF3enrKbKyshgxIroV3hOySJJS6g7gHmAj8HOfS4OAap/jKmAwEHqIVRAEQRCEpOHEBz4AYP3Pz2NAbgZN7Q6+etJIvj1vvHf+6Yc/mkdLR2dIGTsrmvjK0ysAyM2M3PT46VubOH1CAZ0uzYAcY3/VzDSjg+yxoJY3tPHBtgo+2FbBxdOHMrRfduwPKQi9kLqW4AXDnvm4mBPCbEn8v//ayFvrD3iPy+pamTy0jzd/mfHcZ3tZV1rHutI6fnjuMQzIjW/P4/T0dMaOHRuXjN5MRUMbmWk2+ufE/h6LioqYOXNmAlOVXCRsH1S3BfUHwFSt9c3uc1cDc7TW33cfrwCu11rvCbj3VuBWgMLCwhNff/31hKRJSE6amprIy5M97FIV0W/qIzpObXz1u63Gye/XtAGQnQaPnZXDrUtauGJiOl8eb71x1dShuf0jw3nq2skZXDAmtItvXZuLHxa1eo+/PiWDs0el49Kamxa3cPmEdC6dkEFZo4uffWaEadhBagAAIABJREFUO290Gtcfmxn1sx6t9NY8rLUWl1AfPtzn4KWt/p3UkwbbuXFip6l+tdZ8c7GRDwdmKWrbjD7ApAE2fnxSFrVtmiG5we6+j6xpY3ONYZkd2cfGfadlYbfFrocOp+bfux1cPC6dnPSjT583vt9Mph2ePi83Zhm9NQ/7ctZZZ3X/Pqhaa62Uehko8jl9CCjwOS7EsKIG3vsM8AzApEmTdDJvLizET7JvIC3Eh+g39REdpza++r3x7ne951s74dYlRuN2/qnTmHfckKjk/nFTEcVVzYweO455Z44PGW6MT5wAx0+ZzLyTRhoHi9/l38UOvvvl2fRpdcBnywGYNXUi884QN1+rJEse3l3ZyJef+IzXv3UaU4f3Cxv2/oVb+ftne/n1ZVO54dTRRyiFyc2NAXll8pA+9B+QQ15ek6l+m9s7YfFiAGZNGMyizeUA7KhzefP2O9+bE6SL+9cWMayfk4OH29jf6CJn9DR2lDewo6KJ314+NepBg+c/28t7e7cyZNgIfnHelKjuTQnef5d2J3HlwWTJw91FIlbxPUYp5ZFzAbBZKfWwUup8YDUwUymVp5SaDlRprRvjjVMQBEEQhJ5j5MCcqO9Z9P25AHSG2S+13sRlMSu9y/Wwb1YaWsN9b28xGttuzFwdheRneXENLR1O/h5mcS0PnjA///fm7k5Wr2NwX8N7oF92Og2tjpDh1pXWeX9/96wJvHDTKRwf0Bldv6/O71hrzYH6Vi48fqg3npdWlnDfwq28unofD7y7Laq0vrW+jPsWbgUMna4tqY3qfuHoIBHLds0Htiql1gPXAz8BRgMDtdYdwM+A9cDrwHcSEJ8gCIIgCD1ITkbo+WqhSHO7BHa6Qk8tWrmnJuicbwf15VtmAbC8uJqv/71rz8cnlxbT2Ba6YS4kJza35c1uwQLnme88c1T4BX2ORj740Zksu/Ms+mWnczhMB/XmF9YA8P1zJjJ1eD/OPKaQhd+bw90XTmZYP2PBnbK6Vr979lQ3097pYtTAHFbdey6XzhjGe5vKvde3lzcA0OZw8q+1+8OuIux0aX74z41+55Zsq4juYVMIV5iy8GgnEav4Pg48HnD6Kz7X3wTejDceQRAEQRCOLIP6ZFLZ2M6ZxxTy8c6uGTrZ6dF3UG02hU1BpzN0o8x3dVEPWeldY+nTRvTnH7fMYumOSsob2hk5IJuniooB2F7eyMljBkadLqFnqGvuoMS93UmaPXwHtb3T6V29Oc/CIltHC5lpNr4xewx9stLpk5XO6Pwclu6o5PerFc/sWhkU3uHOe1kB+fe2M8dz25njOeU3H9DgM9Cjtea11fsAmDSkDwBnTx7EfzYc9Iapa3bw6a5qvva3VQAU9MnkrEmDTNN7wKfzu+SHc7nhb6upbjy6vB98O6Ubyuo5YdSAHkxN8iK5XBAEQRCEIGqa2qlsbOeKmcPpCHDLzY7BggqQZrfhcIV28TWz/gQ2pmdPKGD2hK7lLTwd1EOH22JKk9AzzPz1Eu9vR5hBC/B36122q5q91c2MLYh9gZneTmuHk3S7or3TRW5GV1P+8pkj2HyggZq6OhwBeXZNSZfr7jdPH2Mqt2+ABfapomKeXWa4Vp86Lh+AC44bwmPXzEBrWLylnEWby72dU4CmttCree+vM+a53jV/MhMH96FfdjpvfF7G/30l8rZTqUKro2sboLQ4FppKdaSDKgiCIAhCEHe9sQmAHRWNQfPUYrGggtEgc4bpjPjOK3326yfxyqpSJg4Kv1Jl0U/mMe+RIpxhOr5CchHojr14SzmPhNgb1+XSvL62zO/cW5+X8aPzJ3Vb+pIRrTVvfn6AYwb34ZInPuWUsYa3QHZGl4fBlGF9efXWU90L6Mz2u7+kupl5jxQBwYM+Hvplp7NsVzWXPfkZG/bXe88P79+1hVNWup1LZwwHjM7qbWc2ct2zK737r1Y0hB4o8lhQv3S8scDa8AHZ7Ko8upam8S3j2hyxlVmNbQ4+KXMwvrYlpvUAegPSQRUEQRAEIYiSGsP9Mjvd7tegHd4/mzR7bEtYpNlU2DmoHmvo9BH9OGtSIedNGRxRpme7i0hWOCF5WLXHf2GcxrZOdlY0cszgPkFhn/7E2Jnw8pnDKcjL4Nlle3l/Szmj8v0tqMcP7+d1Q01FVuyp4cf/2sgk9ztavdd4h1YHi8YU5HLCqP6MyQ9teb72lFG8vdFw3x1fmEtxlVEGfHb32abhszPsTB/Zn4/vPAu7Usx+8CN2VzZR19zht1fqq6v38ZePiymtMSyonj2LjxvWl6IdlZbSnyr4WqjbfKypVmlsc3D8ff8F4LOqtSz+4dyEpS2ZkA6qIAiCIAhBON0dyU6XptVtHXngsqlce8qomGWm2W1Broceyupa8Kyv8p/b50QhU/mlV0heXC5NeUMbt7y4FoA5EwoYmJvB2xsPcsPfVrHq3nP9wnc6Xby8shQwVp0dX5jLs8v2srOiiZ/8y3+xnclD+vD+DyI31utbOsgKGHTpDXzuXoG3vdO/U5MZxXO8+Z3Tw16/6sQRXHXiCO/xbS+ts7QoVUGesbrviAHZvLZmP29+foAV95xNvvv80u2V3s4pdC14ZVMKl07t/W1///52pg7rx4DcdBxO7bfA3MH61jB3GuyvbWFfbQtjCnIZ3j+bve5522B4t7ywvISvnzY65d6fdFAFQRAEQQhixACjMfTN08fQ3unin2v3M3lIH6/FMhbSbCpkR7KioT1GmUZjN5xlVkgOnlm2hwcXbQeMxY5evmUW+2tbeHvjQTo6XTy8eDuXzRjORLeVcPPBBg7Ut/J/V09ngtvV+6Erp/Gnpbt48aZZ3jl8TxUV88a6Mn733jbuOGciuSYLKWmtOfcPH1Nc1Uxuhp0t988/Qk+dGBZvMVa7LfHp6EHs7vZW+MsNJ0YV/k/XzeTtDQd5qqiYF5aXeK3cRT4LrH3t1K4BLo/+nC4dcaGs3sqf3V4hHp72ead3v7mJayIM+J3x0FIAlIK9v7uI5nb/AYpfvr2FgrxMLpo2NEEpTg6kgyoIgiAIQhBZ6XaOHdrXO9/snMmDvBaRWEm322jucJrud1rmXkDl398Nb+UJxNvIDbO/qpAcvPX5Ae/vn150LGDsqXvvlybzyOKdPLm0mPLD7d5Fc15bvQ+7TTH3mELvfV85eSRfOXmkn9z5U4ewZGs5T3+yh3S7zdTq9+H2Sq/LanOHk7K6FkYM6B3z93xXPA4kmSzBk4f0ZeDsDJ75ZA+Pf7TbNMwvLj7O+9vms/VUWvI8RsLYerAh6Fy4Obrh7vd4l3jKyUw7ePqq5VHI7C1IB1UQBEEQBD+a2jtZsrWCzLSuuabxdk4BMtNtLNx4kIUbD4YMU9gnunjs9sj7qwo9T21zB6W1zYzJz+Frp47m0hnDvNdunTueW+eO58o/L2dtaS2Pf7iLSUP68Nb6A1x1woiI38SZxxTy2d1nc8L9S3hiqXnHKJDthxp7TQfVd8XjQHwXMEoGBvXNYs1Pz6XJZzEgm00xrF+W21LaVaZ4BpdcYfZO7c1c99fgrX5+8Z8t3t9KwS3uvWnN+GCb//zc+97ewvPLSwD435OyqMkezp+Litly4DBbDzYwtiA35hXWkw3poAqCIAiC4Mc77g5ke2dirZIPXzWNL8oOh7xekJcZdYM7zSYd1GTnpRUl/NzdML9r/mQuPN7cHXHW2IE8VVTMH5bs9J674oThluLITLPzwY/PpKoxtKv46IG5fO+19Xyys4oPt1dS0djGsP7ZIfftTFYG5mbw+yunUd3UzpRhfXs6OUEMyM3wWyTJQ6Abrz3F8259S/C2WR4eu2YGz3yyJ+z2WJ5F5eZMKODT3dXezinAoFwbt5w/meW7q3lz/QHeXH+Ak8cM4F+3zQ4przchHVRBEARBEPzYW2PuThgvJ44eyImjByZUpmcOqiySlHxorRl7z3t+52aPLwgRGu6cP5n/vWASNc0dbDnYQF6mParvZWi/bO8KsaF48aZTmPfwUl5dvc977gfnTgwZ/rRx+cxy7wGaLHx611nkZPT+Jrzd655/dOXdv3ztROZPHeKdPhGONoeT2uYOZj/4kffchEF59M0w3tkT153AloMNvLKqlGW7qmlq7yTPZA52b6P3P4EgCIIgCAmloTX0yH+y4bWgHmWN3N5Ao4+b5/fOnsB3z5oQcc6kUoqCvEzO9Jl3mmhe/9Zp7K9rYeHGQzy/vIRHP9gVMuwzGXvYdN8FcS0OFi82BS4N848bwvtbylOicwo+88dT0MXXdwuZn188hflTh3C6u5M5f+oQy3Ky0u0M6ZvFN04bzYH6Vq45eRTnThlMUVERYMzhHjkwh/ZOJ8t2VfP2hoNcNyv2ldaThdT4wgVBEARBSAhaa15dvR+IfsGinsBmUygFnS5ZJKknOVjfyso9Nby3qZxjh/bhuc9KuHnOWAAunTGMH58/qYdT2MWgvlkM6pvFiaMH8stLpoQM98qqffzs35upbGyLaJntTnIz07jyhBHc9+XjIgfuRdhsqbtFVKV7VfKHr5rG1SeNjBA6PDab4leXTg0b5uJpw/j+axvYU9UUV1zJgnRQBUEQBEHwUtvW1VicMTLyHojJgGeulnBkqGps559r9nHr3PHePS2/8ffV7Ko0GscfbDO2RHnsQ8My+eXpw8wFJQHh9o8cnW8sonTa7z6i5MGLwsr5aHsFIwfkeLfISSRtDmfKLH7jS1oKd1Ab2gwvlH7Z6d5z/7rtNGzdtF+p3aYYk59DRZg52L0J6aAKgiAIguDlYFPvs0Sm2Wwp2chNNtocTm7/x3q2HTL2Jx3WP5srThiBw+nydk6/deY4iiubWb23hoa2TvJzM5JuDqdVTvVJt8ulvRa/QBxOFzc9vxYgYkc2WhxOFw6n7tb9TnsK+xGcP/7KqlJsSnFthH1HE8Xh1uAO6sljEjv/PpABuRmmW3j1RqSDKgiCIAiCl4YOo7GY4bMdRLKTZlOUH25jU4gVgkcNzKFfTnrQeadL858NB3jio92cOHoAD189vbuT2qt5+uM9XusowI9e30hLh5OzJhur4P7m8qlcP2u09/r+2hYK+2Qm1V6d0ZBut3H7WRN4YuluGts7/TobvqwpqfX+1lqHtcpGS6t7LmNOClpQPUVMd3s/tDmc/PStzQBcc/JIlFJo97zXROrKlzp3R7FviG+mOxiQk8G60jpufdEYLMnLSuP+S6f2ykWTel+KBUEQBEHoNhrcA/Crf3pOzyYkCvKy0nh740HeDrG/6gmj+vPmd4Ln0z67bA8PLtoOwJ7qZn5ywSQG983q1rT2Vjbsr+ePH+wMOr94Szk//4/R+A/sRI0c2Dv2GQ3HKPczbDlwmMH9jG9DAaPzc70LJ/kOjDS0dpoOhsRKW4fRQe2tnfxwHCkLqu8iWIdbHbR3upj12w+xKVh219lorXlyaTGvrt7HBz+ay4RB8btpbyo7TEaajbEFuXHLssr8qUM4WN/KvtoW2jtd7K1u5rIZw5kbYsGxXRWN7K1u5vzjrC/adKSQDqogCIIgCF4aOzTpdhXSWpSMvHTzLEqqzbfG+efa/SzZWkFHp8s7X/K2l9YxuG8mL6wo9Qv71voD3Hbm+G5Pb29h2a4q7lzwBWceU8hra/Z7zz94xfHMGNWf/3lxLct2VXvPTx/RO+YsR0N+nrGf53V/XeV3/svTh/H10wxr8fLiGu/56ub2hHZQWzpS14IaOAf16r8sZ+TAHP7wlRkJjecvHxd7f1c0tLOzohEwVkY+3Wf7FoBrnlnF2p+dG3ec++taGDkg+4gOLHzlpJF8xb0g0/7aFs54aCkvLC9hxZ4a0u02bjp9DP1zjO9584HDXPynTwFY+7NzKcjLPGLptIJ0UAVBEARBAGB3ZRPv7TXmTnWX61t3MGFQHhMG5Zle21nZyJKtFSwvrmbepEG0djh5f0t5ULh0u/K65SUDWmsa2zvpm9VzAwX/99+dHDrc5tc5LeyTyTXueXw3nDqa3763nex0OyvvPadXDWpYZe4xhTx9w4l+24Y8tbQ4pMX+89I6WjucjCvMTch2MM0dxlY9qTgH1bNgkNOl6XS6WFNSx5qSuoS6pboCrLN/XLIz7JZBLR2dIa+F4o5X1/P2xoOsuvccrwdGRUN7j3pjDOmXxbjCXJbtqmbZrmo6nC6Kq5qY6V747pVVXfsA76ttkQ6qIAiCIAjJyZV/Xt7TSUg450wezEPv76C53ehgHKhvDQozcVAe9a0ODrc46HS62FnRxJRhfY90Ur10dLo45meLAPjivvN7rJNa2+zfYf/dFcdzzrGDvMfXzxrN0H7ZzBjZPyU7p2DMQ70gwAXywqlDWVta6+eampuZxhVPLed/F3wBwJeOH8JT158Yd/wXPW5YuXpyH9buwmNB/c4r66j32Xv5Z29t4tFrZiYkjg6n/6JvZoNTvrR0OGlzOKOyfHoGKp5autu7Hczn++q4bMbwKFObONLtNj768Tzv8YWPLePdLw7x7heHgsJWNrQdwZRZI+4OqlJqBPAMMAaoBq7RWh/0uV4K1LkPn9VaPxlvnIIgCIIgJJ7DPo3EVCHT7dbb3ml0UAM7Xc/deDInjRnAFU8t5831B7zWwnU/O5f8HrIqPLtsj/d3ZUO75Q7qK6tKOVDXyp3zJwPwxroyyhvaWFtSy4NXTrNs0el0uqhu6mBfbQtfP20028sb+f2V04Lm0+VmpnFJEm8h011kpNmYPb4g6Pxrt55KQ6uDxz7cRfnh+Bv9vlbb8SE8BHozM0f157IZw2h1OFm8pWvxrZrmxHkytDuMDurlM4fz1voDfte+cdroIDd/MDxJpg7vF1LmgnVlOF0uZo8v4OYX1njPf7q7mo5OF898UozWUFbXkqCniJ+Ft5/uXXDLQ6dTc8IDS3jusxLWldaRmWbn+lNHMcRdTvSkF00iLKjtwINa60+UUt8Dfgj8r8/1Jq11Yp3JBUEQBEHoNu6+cHJPJyFheCwh7Z1GQ7Wmydgn8Nmvn0RpTTPzJhWilOL7507ks93VLNpcTn2Lg9rmjpg7qDVN7eytbuakGLeVqPNpoL+36RDXzRoV0QWv/HCbd6XSp4qK+c3lU73HAD/510ae/fpJES1Dm8oOc8kTn3qP5x83hPvdViEhPJ5tad5af4Dd7m134sGzYvKvLz2O8YWp10HNz8v0WkrbHE427K/n/oVbqWps579byhOyeI9nYCrQwv+tueO450vH8stLjmN5cQ1/+mgX4wfl8Y9V+3hw0XYG983im6ePMe2o/uRfGwH48XnHsLOiS8/FVc1ezweAM0MsTtQTpNlt9DFZmf3CqUP4dFc1q/YaK1E/sXQ3aTbF3GMK+fuNJ5vK+s+GA2w52MC9Xzq2+9IbrwCtdRVQ5T4sAbxrtCulcgDzVQsEQRAEQehWHE4X6VFsFzP/uCG8v6Wcb54+pvsSdYTxWFA37KunrqUDhWEVOGXMQM6bMtgb7uJpw7h42jAuOG4INz63hoa26Oeiefj2K5+zem8tm391QdRz6do7nfz1073e4z8s2cnbGw/ywY/ODHnP7somzv3Dx37nfDunAMt2VTP55+8D8Mx5oVfX/Wh7pff3BccNZvaEYEuhEJ68zDSa2v2/nyVbK5g8pE9UKxvf/o/1ADS2x/4t9hay0u2cOi6f/LwMlu2q5taX1rHrNxdGVX6Z4RmYCuygerwJbDbFnIkFzJlYQHN7J1sOHKa0tpnlxdX0yUoLa0ld+EXXHOSJg/K8ewF7+M68CXGl/UjgcUOvbGjjlN9+CBjb/viWA4F8/7UNANw4ewzD+md3S7oSvcnZ1cBin+McYIxSar1SaplSKn5nfEEQBEEQIvLZ7mom/nQRX5TVWwpf2djGrspGxvS1kZmWOguyeCyG/1y7n4fe38Gbn5cxqE9myJVW+2QZHcrSmmbK6looq2vh/c2HOOuRIvbVWHPZq2o0rLTzHi4C8O65GAmtNY9/aGyJ4dt5tkdwtXt1ddeCJ9+e17UK8cRBebx3xxm88705DO3X5d67vdbf1c9DTVO7356es8bmW0q34E+frHQqG9u56PFl3LlgI2tLavmfF9dy1xtfxCTv7MmDIgdKEXxXgq5viX/KgaeD6snXHszmmOdmpvGf2+ew7M6zGTUwh+qmdjqdLj7ZWeUdcCit6bK7eaynU4b25ZX/meUn69GvzsDWi+YND+qbxR3nTPQ7d+9bm/jNu1t57rO9vLp6H3/7dK9fWTY7YAXkRKKsFpoRBSn1JeBO4CztI1QppbTWWil1FvAnrXWQn4hS6lbgVoDCwsITX3/99YSkSUhOmpqayMtLPVcVwUD0m/qIjnsHf1jXxhdVTjLtcMm4dC4enxE2/E8+bqG6VTMjX/ODk1NHvy6tuWmxf8dySr6NO082H/kvb3Zx97LghZQAzhiexs3Hd7na1rW5eOaLdo7NtzOmr43CbBtD82w8/nkbn1cancCvTspgfWUn+xpc3Dc7myG5oW0D7xR3sGCX0Sj/47xs7Epx17IWpuTb+d7M4PmjHU7NL5e3cqhZMyRXcd3kDKYVplHX5sKpITddkZ3W1UiuaHZx17JW0pTmzJH+HfTqVs3GKiPNZ49K44RBdiYOsJNp7z2N7GRhd52Td/c6aGjXFB/2X6TnmfNyyLDwTp0uzW0ftHDOqHSumRw+7wbSm8voZofmux8a+fWB07MZ0Sc+W1ppg5NfLm/jtumZ/H1TO7OHpTGyr41zRoWf1/2bla2UNLhw+Kjv8bNyWF3eycvbOhjb18beBhd3zMxkWqGdNJviUJOLRodmYn9bt8/f7C4ddzg1yw508tJW83nAP5uVxQOruuZXPz8/9n1ezzrrrHVa65PMriVkFV+l1ATgQeACHdDj9RxrrZcqpfKVUnattTMgzDMYCy0xadIkPW/evEQkS0hSioqKEB2nLqLf1Ed03Du4o8hwaGp3woJdDh65+fyw4avffxeA3Mz0lNNv9kfv+y0Qcs2cY5l32hjTsFpr8sdW+m0588RHu9lX20KjLY958073nv/PhgNsK9rAtlqjFWtTsOd3F/HnHSvon9NIfYuDf+7okpM25BjmnTgiZDrvX1cEGB3Uy+efDcBLe5ezu7KJ5/YEu4ZuOdhAdbPR7Pr+BVO51r39Szj2qG28smIPn1f7N6BdWgHGO7rwlClc7d5PUYieecAtGFuWPPDuNv7hs6XHwPHTLc1N3l3ZhOO/H3PeyVPCfjNm9PYy+u3ytSzeUsH4KdM5bXx8Vvz1++pg+XJmzZzG3ddat0Q7BlWwaPMhtMa7uNIdS42Oc7pd8dE983t0EaHu1PF5WnNTTQvD+2eTZlPsqmxi/b467n5zE+ua+wPlnHlMIR/vrGLmrNO7ZQXvRKzi2wd4FfiG1vqQ+9zDwBJgDdCqtW5TSk0HDgV2TgVBEARBSDyxzqE8eUjquPd6+NuNJ7GzvJH7Fm4F4PQw8yqVUn7utQBfOWkkd7/xBR9s85+XFbgisGfXkcOtDk4ZM5BTx+Vz/ztbvder3Qs0ATS2OahsbOelFaVcOmMYv3x7C3uqmvnVl4/jG7PHeMN9ecZwFqwr89uGw8PwAdn0y05jTH6u5dV07/nSsZyWU2HauG3vdLJgXRmX9uD2GKlETkYav738eE4dl88drxrzSQ/Ut2JqMgqgwr31x/AB3TPHL5n54XnHsHhLRVD+igWPa25ulHPBz5sy2FsOjC/M5ZH/7vReczh1r9onOlqUUn4rdk8a0ofCPpnc/eYmFm0upyAvg4umDeXjnVXsrmzkxNGxLQYXjkRYUG8HJgDPuZXVApQBA4HhwKtKqU73+VsSEJ8gCIIgCGFoc0Q3FtzaYYS//awJzMgM3ievtzN7fAGzxxd4O6jD+kXf6B+Ym0F9SwdaG43T11bv41dueQ9dOY073fMLVxTXsL28kWkj+nHTnLF8Y/YYyupauORPn/Lgou088dFuHE6Xd24cwPPLSwBjntxXT/a3XN5w6mhuOHV0LI8dNZlpdq6fdWTiOpr48vRhHDukD+f98RNeWbWPpvbOiO/ZM4850urNqcjAXMOleXlxNRdNGxqXrDr3PNYBIeacW+G2M8ezYf9h76rK4wpid2vtrQzMzeB3VxzP/toWzp0ymAz34lVX/nkFq+89h0EWt7CySiJW8f0d8LswQY6PNw5BEARBEKzzjslm7OFY4m54jS3IhcbuSFFy8P1zJvL3T/eSnRG9lXhgbgadLs3db2zirMmF3k7ljbPH8JWTR9Lp0tz71iaufXYlAK3uyWt2m2J0fi6PXzuTj7ZXkmazkW5XvLyylOYO/4GE//5wbsRtYITeyYRBeZw8ZgCbyg6zpqSWy2YMD2vV+6LsMOn2/2/vvsOrLu//jz/v7EkgEDYIhA2yZMhQwAFY697aWle1Wjvs8Ntaa7FVa7V22J+tWi22roqDOnGggIps2XuFHQgkkL3OuX9/nJPDOclJcnLOCTk5vB7XlYtzPvM+533O4fP+3MvQOSO8F/6tQWaKK0HdmRf6RCDH3U316xsULRBxsTFcPqqbJ0F99IphIZerNfLuQmCt5eaJvZi1KIfvvbSSt+6a2MCeTReWPqgiIiISOWrm6fvWmT15acmeRraGvfmuvlVTB3Zk7fLtzVq2lnTP+f255/z+Qe3b3d3U8rUVe3ltxV7ANVXNzIuHAHD9uJ58tvkQX+04Smmlg4tq1fxMGdCRKQNO9IG7Y3I29/9vHVlpidx2Vh8OHCujSxA1u9I6GGN4/XsTWLDlMDfNWs4H6w767efrcFr+/MlW/rVoF2N6tWvyNEXRIC42hqkDsjhSHHoT35oa1LbJTRtoqrYLhnbmle+OY3CXNrRNCe1Y0cAYwwPfHMzCrXms3nsMh9MSG8ZRi0+9T72IiMgpYtrgzpRVOlmy82iD2+UVVZCWGOdpWid1TR/SmX/eOJrv/meFZ1mbZN/LqOfl4HtvAAAgAElEQVS+439ie38yUxM8cxACTZofU1qvyf2zyEiO55EPNrFm3zEeutS3oeEtLyxn4dY8APp0aJ0j8YZDRnI8O8JQg3qstIrUhFgS4kIbDdgYw4RszQnszRjDZSO68cQnW3nui53cMTm78Z0CpARVREQkysQY14A947Pb8+GGXJ/+jv7kHi8nK/3U6+vWFDWDJ71w8xhumrWcuBjD41cOb+liSStjjOH/Zgzk+S938sbKffzukqE+A+7UJKcA984Y0BJFjAgZyfEc9zMwWFMdK61UjWczumVSb574ZCt/nueq9Q8XJagiIiJR5E+fbMVp4cJhXYiPjSElPpZjpZXc+8Ya7pzS12d0xhqbcwv9TlwvdY3Pbs/3p2Zz0fCutFONswTh+nE9qax2MPPdjYz//WfU5KfFXiNvv3jrWNqfggMk1UhNjKO0MriRyL0VlFbSNoT+p9Kw1MQ4nv7WGSzYcrjxjWtZ1sA6JagiIiJRoqSimic/3QZAinuwncw01+A+s1fso7Csmqe/fUad/Q4XVXCe+j8GJDEulp9PH9jSxZBW7oLTu7DtcDFVjhOtG6odlvlbDvPU9aOY0MBUSKeCpPhYqhyWaoeTuNjgm+cePF7u6T8uzWPG0M7MGNq5yfv9oYF1SlBFRESixOMfbfE8rhkNtr1XLZ+/Gr/yKgellQ7VBoqcRJ3aJPHwZZrooj5J8a6ktLzaSVo9CWppZTVLd+YzZUCW33lJrbXsKyjjzD7tm7WsEn5KUEVERKJEoVefrUp3v9Nh3dvSuU0SuYXlnvlRrbWs3nuMET3acrTENVJmO/XTEpEIkey+wVZe5ah3JOO/ztvGM5/vBOCsfh34zy1jfRLVfyzcQXFFNf07pTd/gSWslKCKiIhEiaKKE322HNYCMKhLG5bcdy7DZn7EnFX7OV5WxaLtR6iodjK+T3vumNwHgD5Zp97k8yISmRLdCWpZrbmCvX20Idfz+IttR9hXUOYZDft4aRWPfbiFlIRYzh/cqXkLK2GnBFVERCRKeNegOp3WZ12J+0LvUGE5iXExVFQ7WbzzKNkdXYnpoC4aJElEIkNNF4UP1+fSsc2JwaJijGHygCyshZyjpVw8vCvvrDkAwLbDRfTITOGr7Uc885/ef+FgjVDeCilBFRERaeWcTssD76xn5e4ChnXPYHNuEd+Z0Mtnm7e/P5EDx8qYNqQzldVO+t8/F4D31h6kW9tkMpI10qWIRIYuGUkAPPzBJr/rUxNcCexp7VNY9ItzmPjoZxwqrOCzzYe45YUTcxV/c3iX5i+shJ0SVBERkVZud34pLy3ZA0D/Tum8c/ekOtsM7ZbB0G4ZACTExfDJPWdz/p8/51hpFSN6tD2p5RURaciYXpks+sU5nn7zNa59dgl5RRWeFiHfm5xNvHsQpV++ta7Ocdok6cZbaxT8uM0iIiISERzOE1NVBDqlQp+sNM/j0ae1C3uZRERC0a1tMtlZaT5/T10/yrP++nE9SU2MIyEuhouGd62z/39vP/NkFlfCSDWoIiIirdy2Q8Wex+cNCmxAkNgYw5QBWSzYkkc/jXIpIq3A2N6Z/Hz6AIorqvnp+f09y/9yzQimDe5EpzZJfOu5pVQ6nIzrndmCJZVQKEEVERFp5e58+WvP45pmvIG4a0pfFm7NY2RPNfEVkdbh+1P71lkWG2M8tahzf3wW+wrK/M6NKq2DElQREZEoMXVAVpO2H9s7k12/v7CZSiMicvLVNAeW1kt9UEVERFq5mpqDWTePbeGSiIiIhEYJqoiISCtXUeVgYGf1IxURkdZPCaqIiEgrV1bl8ExsLyIi0pqFnKAaY7obYz4wxmw0xnxujOlaa/2txphtxpj1xpgzQj2fiIiI+CqvcpCsBFVERKJAOGpQK4BHrbWDgdeBe2pWGGOSgV8AI4HrgKfCcD4RERHxUlReTWqiElQREWn9Qk5QrbV51trP3U9zAO/ZvscBy6y1xdbadUAHY0xKqOcUERERF4fTsvNICb07pLZ0UUREREJmrLXhO5gx/wHetda+7n5+NTDRWvsj9/PFwPXW2l219rsduB0gKyvrjNmzZ4etTBJ5iouLSUvT8N/RSvGNfopxZCmutNz9WSnXDUxgeq/40I+n+EY9xTi6Kb7RLxpiPHXq1JXW2tH+1oVtHlRjzDeAnsAbXov9Zb91Zs211j4LPAswYMAAO2XKlHAVSyLQggULUIyjl+Ib/RTjyLKvoBQ+m8+IIQOYMqZnyMdTfKOfYhzdFN/oF+0xDkuCaozpCzwKTLe+VbIHgQ5ez7OAvHCcU0RERKCkwgFAamLY7jmLiIi0mHCM4psOvAp8x1p70L3scWPMNGAZMNIYk2aMGQ7kWWuLQj2niIiIuCzYchhQgioiItEhHP+b3Q30BWYZYwBKgX1AprW20hhzP7AKcALXhuF8ItKMCsuraJMUej82ETk5fj93MwCJsZraXEREWr9wjOL7e2ttO2vtCPffBGvt1dba/7rXv2Wt7WetHWCtXRV6kUWC85/FOTz24eaWLkZEe/yjzQyb+TGfb1VLfJHWYsaQzgCMz27fwiUREREJnW63yilhb34pD7y9gb8v2EFxRXVLFyfibD9czNx1B/nHgh0AvLf2QAuXSEQCdaS4grG9M3G3YhIREWnVlKDKKeGCv37heZxzpCSkY9318kpeWLSr8Q1bkUufWsSdL3+N0z3E2ZxV+ymrdLRsoUSkUdZathwqol/H1j3dgIiISA0lqBL1jhZX+NSa7j5aGtRxKqudTHl8Ph+sy2XmuxtxOMM3h3BLq12rXOWwFFVUhXRMay3PfbGTpTuPhnQcEanfvoIyisqrGdy1TUsXRUREJCyUoErU+3TTYZ/nOUeDq0E9VFhOjldyu27/8ZDKFSlW5OT7PD9nYEeAkGtQd+QV89D7m7jxX8tCOo6I1G/jwUIABndRgioiItFBCapEvacWbPd5vjvIBPVIcYXP89dX7GX0Q/OorHYGXbZI8Jd52zyPz+6fxdWjuwNQGmSCWlxpWb//ONsPu97nimon1lrySyo5VlrJy0t30+sX7zNv46EmHddai8NpKat0sHbfsaDKJk23N7+Uu1/5moPHy1q6KOLHxgOFxBgY2FkJqoiIRAdNmhYGy3PyGdg5nXRNzRFxNucW+jTpzUpPZNvh4iYfp7zKwYPvbvRZ9vLSPYCrZrVHZgrgak6cmZrQagYrKat08OX2IwDM+8nZ9O2YzkL3CL6llU0fTGpzbiF3f1YKn33ps/zeN9by+sp9Pstu+88KPv3pZLKzAus799dPt/kk03+6ejiXj+re5DLWcDotxhDWWJVWVpMcH9tq4t+YY6WVnPXYfADiYgx/uXZkC5dIapRXORg282MqHU76ZKWSnBDb0kUSEREJC9WghmjdvuNc9fRiHn5/U0sXRfzY45Wc/vPG0Vw3pger9x5r8kBJt/17Bav3umrtHrtimM+6sx6bz+Mfbeav87ZxxkPz+OPHW0Iv+ElyvOxEP9O+HdMBSEt0Xehe++wS+t8/1/M34P653PPaavKKKvweC2DGX77wu7x2clrj3CcW4gywL++H63N9nj//ZfADVVlrOe9PC/np7DVszi2kvCq05swPvruB/3tjLYMf+IjZK/b63cbptFz19Fe8uDgnpHOdTE/NP9H6IE5zbEaUgb/+kEqHq/VGj3YpLVwaERGR8FENaoi++58VAHyy8RCPXtHChZE6bn9xJQC3TurN+YM7kZmawJOfbWfXkRJ6dUgN6BgV1Q5W7Hb107zw9C6c3j2jzjZPzd/h8/j7U/uSkhD5X6+a/rg3TejlWTase1t+Pn0AReW+NagvLs5hzqr97DpSwv++PzGg4//v+xP5eEMu87fk0S4lnq92uAZMevbbZ/Cj/66mrMrB4p1H6ZyR1OBxvtp+hM25RbRPTeBoSSVdMpLYcKCQnXnF9AmwBtZbbmE5O4+UsPNICW+t2s91Y3vw+8uHNb5jLU6n5c6XV/LRhhPNledtOsw1Y3rW2faNr/exPKeA5TkFfHt8ryafqyXsOnLiBs+hwvIWLIl4s9b3pk77tIQWKomIiEj4Rf4VdAR7Zekect0XbbEx0dGkL5p4X8T9+puDAWib4mqGXVge2Ai1v3xrLRVVTsqrnDz/ndGcO6iTz4X6rt9/g5yjpTitJcYY7n1jDctzCth9tJRBrWDQkmufXQLAuN6ZnmXxsTF8f2rfOtveOTmb219cwcrdBZRXOUiMi6nTlLVDWqKnr+4dZ/dhRI+2jOjRlntnDATgw/UHKSitYtqQzsy+YzwX/b8vueG5pQGXd+bFQ+iYnkhyQiwX/79FbD0UXIJ67xtrfZ5vPFjU5GMA5BVX+CSnUH9t1stLdnseL95xlPHZ7YM658lSUe1g3ibXa7tsZDc+2XiI8ioHSfEt05S0rNLBfXPWcd3Ynoz1+ryeapxOy5/nbfVZlpmiBFVERKKHEtQQ3DdnHQAZyfHkFVdQ5XASr2ZwESO/pBKAB9zJKUAbdz/hwrK6Cerbq/djLVw6shsAy3bl8+qyE801axKKTm2SuGZ0D9okx2GMobdXTewvLhjIFf9YzANvr+fRK4bRp0Nqq+iP2LFNYqPbZKTE850JvVi6K59zn1jI0ZIKrh97Gj0ykwEoq3JwpLiC6afFMWnEAL+1iDOGdvE8HtqtDbNuHuM3FrV9tCGXD9blMqx7Bqe1T/XcJFi991hAZfd2vLSKL7a5+t3eMbkPzyzcSVyQN5jW7as7kvOry/bwvcl96NjGVStc7XAy/S+fsyOvhIuHd+WdNQf45xc7Iz5BXbrT1WrgyjO6M6lvB+as2s++glJPU/CT7Vdz1jFn1X7mrNrPvJ+czfbDxazae4xfzBjYKr5jwTpwrIy3Vx/gtrN6Ex8bw/vrDvK3z1xNr/99y1i+3JbHzRN7t3ApRUREwkcJaghiDDgt/Gz6AH79v/UcLqqgW9vkli6WAA6n5Zt/cw3UUzOAEUCbZNdH/oF3NjCz1qBHNfOa1iSoVz+z2LMuITbGp8nuH6703xy0b8d0OrVJZHlOAec+sZA37xzPGadFbm1PdlYqiXGxAZfxrH4duPKM7uwvKGP/sTL+tci3H2iMgbFd4gJqwmqMYeqAjgGd95IR3Xxq79qnJpAUH8PTC3fw9MIdjexdv2vH9OR4aRVz1+dirW1SonOkuILb3E38P77nbB75YBNtk+P53+oDjH3kU4a5m4Kv9Upi7/vGIN5Zc4DPNh+mtLI6YpuBr9yd75ke6Mfn9WN/gWsE36fm7+CH5/ZrkTJ5D2523p8+9zx+/otdfPXLc+iYXreZ+ObcQnKOlPjcGIl0z32xk8c/2sJtZ/XmrH5ZnlYOTy/cwZ1Tsj03dGZeNJjJ/bOY3D+rJYsrIiISdpF5dRThfvvuRs+F+UXDu9KjnSsp3ZdfqgQ1Qtz7xloOHnfVsg3sfKLGJzEulj9eNbzOIElVDifPfL7TZ1liXAwV7ilkagYjaUxGcjxL7zuP2Sv2cu8ba9mTXxqxCarDadmbX8bNk3oFvE96Ujx/vGo44BpFtPbgQvGxMSxf/KW/XUPm3bQ0LjaGd+6exIFjwU19kpYYR5vkeHp3SGVkz7b8d/leHn5/E6mJ/n8SLdAlI4nrxrpqhcsqHdw068T8rv07pfPCzWMB6Nk+lXVe0+Cc2SeTJTvzuWlCLzpnJHlqUX86ew1/v2FUxNX+vfX1Pn4ye43neYe0RFIS4uiYnsicVftpkxTH1LrdsJtdzfe5tmqn5b/L9tZJnAvLqzyDdv3xquFceUbwIz43l7JKB8kJsRwrrSQ1MY742Bgecg+499T8HT5924+XVfHo3M0AnN4tg5tUayoiIlFKCWoT5JdUkpma4FNrlJYY55l/7tEPNzPnrsAGj5Hm9ebXrlFj75yS7VODCtR7obrrSAmL3FOu7MwrpqLaSbuUeApKA+uv6m3a4E7cC2w+WMTGToU+69bvP86Evu3pfpJH3qysdtL//rkAzLlrAh3SEql0OOnVPrDBompLio9tsf6I4EoK+3cKvbnpxL4dSEuM47kARgU+VFhOcnwsv3cnCgDv3j3JZ5ufnN+/wWP8+ZoRfLn9CHPX59L7lx9w8fCuPHldy0/fkldUwdur9/P4RydGoc7OSvXEedmvzmPGXz5n/7FyOMkJqsNpyS+p4IpR3fl4Yy5F5dVkpiYwvHsG87fk8crSPSzcmofTWpwWisqrKCw7McjXk59uazRBrXY4mb8lj4Gd0+v8ZjSH+VsOc/Os5T79tn936VC/2254cDrLduXzxbYjWCwzhnRu9vKJiIi0FCWoAfpiWx7ffn5ZneUVVQ46ZyQxsW97lu3Kb1IzQafT8vyXu5gxtPNJuSA6FV3RhHkyt+cVU1LpYPXeYzzw9noArh/X06cWI1BtkuJJjo/lmc931qmZBVet7oc/PrvJxw1UYXkV6YlxrNhdwJOfbuNn0wbgPe7nZX//ile/eyYAPU/xz173dimsf3B6g9vMXr6Xe99c6zMPK7hGI/Y3qnNDYmMM834ymTdW7uWRDzbzzpoD/PGq4STEtWz/9Qff3cB7aw96nq+bOa3O3M5dMpI4eLxptdbWWi79+1d0Sk/k2RtHB7RP7vFyFu88wqUjumGMYX9BGU4Lw7pncPXo7lzz7BJundSbu6Zk8/cFO1i0/QgxxmAMVFQ7WZN3ooVEQmwMe/JL+clrq/nTNSPqLeOMv37Bdncz4pxHL/S73fbDxTz8/kZ+Om0AQ7sFn6VXVDu4edZyAE9yCvDr/7l+d977wSTe/HofsxblcPXo7qQmxjF1YEemDgysSbyIiEhrpgQ1QMt35fs8/+n5/Xnik62c0asd4KqFWbT9KBXVzoBrld5Zc4CHP9jEptxC/nS1/wsnabr97mafPzynL307Bj7Ca4e0RHbmlfDa8j2efoM3ju8VVIIaE2N4487x7M33vZgvqajmp6+vYXNuESt353ua/36y8RB78kuZNrgTHdskkhgXfM3k3vxSznpsvs8yp7WUVfo2x91X4JpCpENa0wYZOhVNG9KJe9/0XXbFqO5MC7ImKzM1gdvPzsZp4dG5riQ10BsF/Tqm0S61+UdtrZ2cAnRpm8zK3QWsPBRLea15acE9OraFq8f0AFw1zve9tY417jmE9xWUBtRy4O5XvmbF7gIykuN5ddlePtnoGk24Z2YK4/q05/OfT6Vne9dxvj+1b51Rp2/81zI+35rHtMGd+P7Uvlzy1CLeWrW/3psAm3KLPMkpUO+Nxr/M28r8LXnM35LHzke+QUyQg2s9s9D3ptXYXplYLMtzCjAGBnVpw28uGsIdZ2drChkRETnlKEENwO6jJczfkuez7MYJvbhkRDfPCKbp7r5rxRXVASeo7609AFAncZDQvLPa9b5O7NuhSfs9953RDJv5sWfk3rG9M+nUJol37p5IVYB9UL0N6ZrBkK51a1neX3eQzzYf5op/LGbWTWPISIn3zKf7u/c2cuGwLjx1/agmn6/GK8v21Fm2aLtr/tHHrxzGkeJK/vChKykCaJdaNxERX21TEkiOj6XMq8/tD86pOxVPU100vCt/+HAzP3t9TeMbu43q2Za3wtyVwOG0vLf2IPGxhiqHJaGe0cj7dUyjsLyav62qhlUr6z3e5aO6ERcbw6NzN/Pp5sOe5W+u3M+Pzmt8kKVDRa7+pre8sMJn+aierhuCNclpff5xwyg2HixkePe2JMTF8N2zevPOmgPM33K4wf16tU8h52gp+wrK/LZqWZFT4Hn81Y6jTOrXtN+YGuv3u26ALf/VeSTFx5CeFE9pZTU/f2Mt3zy9i2fassbmBxYREYlGp0yC6nTaoO92X/S3Lyksr/ZZ1iYpjozkExf2aUmut3LC7z9j+f3n+azzZ+OBQuZtcl0sHS2uDKpc4t8fPnT1D+zVoWl9K9skxbPsvnPZdriYG55byjnu5nTDurcNa/keu3IY989Zz4cbcrn5heV11r+/9iBPXR/88ed8vd/n+bjemSx1twC4anQP9uaX8thHm/li2xHSk+I0h2KAXv/eeG7993LumtKXK87oTlo9Ayo1Rbe2ybz/g7MoKA3sN2DWohzmbTrE6r3HSHTXBjqcllV7jzGyR9ugm51+tcPV97rKYfnDFaczvIf/z/yN43sxIbsDS5ctY/ToMXXWv7hkN68u28O8TYf5zTvrOVRYQbuUeGZePISnF+7ks82HGk1QH/twc52WB9eO6cFvLhpCckJgN/9SE+MY0+vE4GS/unAwv7pwcAN7uKzee4xLn1rEL95aS1atlgUOC7mF5UzIbs9XO47yreeX8qerh3N5Pd0I9hWUEmMMXf0MnLfzSAnTBnciK/3EOVIS4kK6MSUiIhItTokEtabJ4z9uGMUFpzd9uoGa5HTmRYM9U5PUbv5V02yt0uFk66Ein4sjf2qarAHkB3hxKo2rqZkA11QkTdWxTRId2ySx7Ffn0iG1eZq+dkhL5OHLhuKw1udzMLl/Fgu35hEXY4K+oXK4qJzcwnIGdk5nc24R4Jqi5ZvDutDJPS9nj8wUlt53LsXugWbiNHdvQIZ2y2DpfeeF/biDu7YJeNuySgfzNh3i0qcW+V2//eELPPH87bsbWbE7nzl3TfTUyNWnpnnrK98dx4Ts+msFY2MMAzqnc7BNrN9yn92vg2se2JdO1K5eMao7l4zoxqHCch75YDPjHplHaj3T61hcg5UBXD26O2VVTi48vQszhp6cQYEGdUlnbO9M9hWUsa/AN0nefdTVJP7cQZ1cozZ/lcMjH2ziv8v3+mzXu30q143ryaVPLSI9KY7VD0yjuKKaXUdKGNQlnVhj2H20hPMGdTopr0lERKS1CUuCaozJBN4GPrXWzqy1bjdQ0y7qn9bap8JxzqZYuNXVPPeTTYeanKAedQ9gcf+Fg7hpYu86c2fWGNMrk3/eOJrv/mcFxwIY9TXnqOsibMqALBZsyWNnXjF9sgLvLyl1bTtU5Jn7dPYd40NKvPzNqRhO7dMS+eeNozleVsXERz/jhjN78ssLBvH8l7v43XsbKSqvJiOl6U1vf/jqKgC+e1YfRvdqxycbD3HZyG51ap46pifRMfQBcOUkmzqwIy/cPMZnep8qh+UH7rjnFpazaPsRHn5/k+fG2qebDjXYV7a8ysGD7t+1M3u3D6l8Z/Zpz5VndKeovIqPNrhuvpzmbo57xajubD1U7Jm6yZ+Ckkp2HSnh95ef7pnS52RKjItl9h3j/a5bvOMo1/1zCecM7EjvDqkM6pLOnFW+rRU27C9k2a58XlvhSlqLyqt5aclufvPOBgC+dWZPbp7YmyqHpU9WcKNni4iIRLuQE1RjTDwwF1hfzybF1toWHQFoR56rdqD2nI2B2J3vumteczHx2u1neprz1jbEXaNwqND/fH015qzax5xV+7lwWBeq3Bdr981Zx39v939h1JiauSD9NSU7lSz1GshqbO/InHu0tozkeFY/cL4nma5pGn6srLLJCerhonKW7MznvEGduGxkN2JiDLed1SfsZZaWExtjmDKg7kiuqYmx3PLCCib9YX6ddS98lVNvglrtcDLl8QWe58F2g6jRLjXBM09ufkkls1fs5eIR3QDXTZmadQ05XlpFm+TIa9wzPru9z+i+14zpyTVjfJPo8ioHX247QrXTyebcIv4yb5snOQV4ackeXlri6iM+rImjP4uIiJwqQr4KsNZWGWMuAr4B9PJeZ4xJAUr87XcyzVqUA8AH63I5XFTepNqxfHf/0JqRTsf1qb+GoUtGEhnJ8dz/v/Xc/7+6+fqIHm2Zc9cEXl/hnqNzcjaJcTF8vPGQZ/CPYJz7xEJSEmIpKq/m59MH8N2zW0dS8ujczewrKOX/hanfVU2iPryVXfh51/S2dSeoryzd0+gAKUnxsVw64kTt6AL3QF7ThnQKOdGQ1mVCdgfuv3AQZZUOlu7KZ2DndC44vTMvL9nDW6v2M3fdQc4Z1LHO6NAFpVXkFpbTNiWej8M87VFmagLfm5zd5P2CaTkQKZLiYzlvsKvp7oyhXeiYnsTeglLOGdiR5PhYnv18J++sOUD3dsme+bNFRETEl7HWNr5VIAcy5iagl3cTX2NMB2AjsB8oBn5sra0z9KMx5nbgdoCsrKwzZs+eHZYyAVRUW+6YV+p5/ruJyfRID7zp5/1flrKv2PLHycl0SG58vzV51ew8VrcJ275iJysPOXhkUjJPrCinS1oMPxudhLWWWz4q5aLseC7v1/Q+k9Zabv6o1GfZCzMiu+lYcXExaWlp3PSh695FqOU9WOzkjW2VrDzkIC0enpiSQmJs60zQDhQ7+fWiMhxN+FrWvFILxBh49vwU4lowQa2Jr7S893ZU8sY2V5eD83rG8a3Bvv2qDxY7+eWXZdw+LJEJXQO/X6kYB8dpLctyHXROMfTKCH4qqeam+EY/xTi6Kb7RLxpiPHXq1JXWWr8TpDdrOypr7RFjTCdrrTXGTAX+DQz1s92zwLMAAwYMsFOmTAlbGT7bfAg4MVVBvyHDPaOajuud6XeuuxpOp6Vi0adABZdOmxJQn8Yp9SzffriY8/60kFVl7Tlavo//u3AIU9xzBSZ99iGdunZnypTGR5msrbSyGj76yGdZzyGjI7o/64IFC5gyZQp8+D4Ao86cSBs/cy4Gqtcv3vc8Pm9IV6afOzLUIraoS6dVU9lAP70aS3bms/HAcZ9lfTulc97wrs1VtIB44istbtwEBxfl5PPo3M0sPVTKrdNPp+Ynz1qYv2gXUMaZo05nysDAB+1RjIN3TksXIACKb/RTjKOb4hv9oj3Gzd7Rx7qraK21840x7Y0xsdbakzbx53trDwLwzWFdeG/tQY6VVvLM5zt5dO5mZt08hql++nMBlFRUM/K3n1DpcHLeoI4hj3Taxd1cc3mOq5/khL4nmgonJ/jOr9gUxbWmvwHIPV4e0QkquKbGqMhMLOYAABc3SURBVDFs5sesf3B6UNN2lFb6vv6pA/3HszVJSYgjkJlfZgztfNJGN5XWKTkhlsn9syirrOZ7L33Ndf9c4ne7QOduFhEREWluzZKgGmMeBz4BlgNl1tpyY8xw4ODJTE4/XH+Qt9xzQt5xdjbvrT1IeZWTd9ccAODmWct9Br2o4XRahvzmRK1kIKPyNiYlIZb4WEPO0VKS42PpmnFiQKPk+FjW7jvOMwt3NPm4NVMyeCupPGlvcdBqEvUaW3KLOOO0pvXDtdby0PubAHjo0qEcK63kwiCmERKJdtMGd+bNOydQUe372+B0ur6LjU2LJSIiInKyNFcN6mlAJtANeNUYUw2UArc10/nqeHPlPn76+hrP83apriakFdUONhwobHDfTbm+6y8b1S3k8hhjSE+KJ7+kkv6d030GscnumMbnW/NYu+94A0cIXElF3VrVSFM7Gd+cW1hvgvrh+oMs2n6UK87ozogebamsdvLppkPcM3s1se72ihee3oV2Qcx7KnIqiIkx9X6/JvWrf95TERERkZMtbAmqtfYFr8dXe606PVznaIqPNuT6PK9pwvbikt2eZfH1DKRTM2n9t87syT3n9ad9WqLf7ZrqhnE9WbzjKLdO6u2z/IWbxlBeHVyt5zef/JKdR0p4887xdG+XwrhHPqWgtDKgfZ/7YidfbDvCCzePabAvbrhVOy3z3SPOds1I4sDxcnYfLfW7bVmlg++99DXgit26mdM4febHPtuM79NeyamIiIiISBSIvMnmwuTA8TLP46vO6E5CnKsP6fr9J2pH60vKjrinlvnZtAG0DaQzYIB+Om2A3+UxMYaUhOBC8dJt43h3zQFG9Wzn6cf64LsbqXI0PMjOxgOF/G+1q6nzRxsOndS+jPnlrv6nPzq3H/ec358xD8+jyE9fWoAvtx/xef4zr1rxGikJ6j8nIiIiIhINojZBLSip4oKhnRnZsy23TupDtdM3YbtzSjb/WLCDaofTZwAkh9Pyu/c2ApCRHPnz8XVtm8wd7rkGUxLiuOqM7ry+ch+PfLA54GNszi0Ma4L6wbqDjD6tHR3b+J/Hs7TKlaAO7eaarzQ9MY5iP82SfzVnHS8v3eOz7KMNh+psV9QKmjSLiIiIiEjjojJB3ZlXzP5jZZzZpz23n+1K3mLMiSR0Ut8OdHA32y2pcJCREuOzb42T2ew1XB6/ajgPXjKEQKa3TY6PZczD8zhcVBG28xeWV3HXy64muf4GoAIorHQVruYGQFpSHMXldQeiqp2c1hYbY3A4LU9e27qnlREREREREZeoTFDPeWIhAJP6nZjKxRjjSWgGd21DqrtZaHFlNRkpJ2pKa/qftmZNaS7cPi2B1XuOMWvRrga3i4+N4ZIRXUlvZL7Sw4Xlnsd/+3Qbw3q0ZXL/LJ9tPt7tqvGsSVDbJMVTUGuk5GW7fEf5nX3HeK5+ZjEAPzm/PzdN7EXOkRLmbTxE5wz/NbUiIiIiItK6RF2CWu41n+hlI7v7rKuZe3NwlzbEukfRfXXpHn42/UTf0Ge/2HkSShk5BnVpw9urD/Dguxsb3TY+1nDNmJ4NbpN7/ERt7BOfbAXq1qTWNPHt19E1V2vvDqm8uGQ3Vz+zmNduP5NVe495ktEaY3tnkp4YR1FFNYO6tKFNUjzDurdlWPe2jb9IERERERFpFaIuQa2Zs/SRy+oOHvz3G0axM6+YaUM6UewelGfTwRODJh0vq2LVnmMALPjZlOYvbAT489UjePDiIQ1uU1RezVmPza93ICNv2w4XNbpNSZXlwmFdPFPtXDW6Oy8u2c2yXfnM33KYW15Y4dm2S0YS931jEAB/uXYEO/KKOWdgx0bPISIiIiIirU/UJag1AxxlptZtivqN07t4HqckxDG2d6bP4Dx/+3QbAE9eN5JeHVKbuaSRISbGNDpScVqi62NSUuF/KpyfvLaatfuP8/2p2XVqYhO8BqACKCqv4lCppWdmimfZsO5taZsSz7HSKiqrfTvPzvvJZFLd5z93UCfOHdQpsBcmIiIiIiKtTkzjm7QeOUdKeH/dQQDaBTA9TFpiHCWVJxLU3fmuuTjH9c5sngK2UnGxMSTGxVBa6b8G9a1V+9l+uJh7XjsxBUxXd7/QSofTM+WNtdYzuvDZ/Xz7pb54yzgADhw7MT3QJ/ec7UlORUREREQk+kXV1b/3wDqZqY0nqKmJcRw7VMWeo6WeZT0zU+hUz/Qop7LUxDj25Jfy9Z6CRre9enR3/nDFMGYtyuG3721kyc6j9GqfyoKteby6bA8902MYn93eZ58ubV3v+b8X5wDw0KVD6dcpPdwvQ0REREREIlhUJagvLtntedwmgDlM26XEs6+gjLMfn+9ZNqZXu2YpW2uXmZrA3PW5zF2f2+i2bVMSMMbQId01lc+3n19GQmwMo93v7UXZdWPTLiWB0ae14+Dxckb1bMulI7uF9wWIiIiIiEjEi5oEtdrhZNvhIk7vlsFdU7IDqgX9wTn9GNGjrc+coSN6alRYf2bdNIYdef6n4Llp1nKf5x3diekFQzvzym3jWJ5TwJ/nbWXprnymD+nEmM51jxMbY3jjzgnhL7iIiIiIiLQaUZOgbs4torzKyW1n9eYCr8GQGpKVnsjlo7o3vqHQIzOFHl4DG3m7ZnQPXlux1/O8Zl7S+NgYJvTtQL9O6by9ej8lldVcMqIbHN1yUsosIiIiIiKtS9QkqGv3HQdgZA810T3ZZl48hIuGd2XLoSIW7zjKmX18+5dmpSfymde0PQsWKEEVEREREZG6oihBPUbblHh6ZCa3dFFOOckJsUzq14FJ/Tpw66TeLV0cERERERFppaJimpmKagefb83j9G4ZGGNaujgiIiIiIiIShKhIUN9cuZ8Dx8v5zvheLV0UERERERERCVKrT1CLyqu4b846umQkce6gji1dHBEREREREQlSq09Qf/zf1QAkxMWoea+IiIiIiEgrFpYE1RiTaYz5whgz08+6W40x24wx640xZ4Rynl/NWcfv527yPP9y2xE+3XwYgGe+HdKhRUREREREpIWFnKAaY+KBucBWP+uSgV8AI4HrgKeCPc+OvGJeXrqHZxbuBOBIcQXfen4pAHN/dBYDO7cJ9tAiIiIiIiISAUJOUK21VcBFwBd+Vo8Dlllri62164AOxpiUYM6TnZXGwM7pAPz23Y2MfmgeADdN6MWgLkpORUREREREWjtjrQ3PgYy5CehlrZ3ptexqYKK19kfu54uB6621u2rteztwO0BWVtYZs2fP9nuOOdsqeXtHlc+yGb3iuHZgYlheg5wcxcXFpKWltXQxpJkovtFPMY5uim/0U4yjm+Ib/aIhxlOnTl1prR3tb11cM5/bX/ZbZyQja+2zwLMAAwYMsFOmTPF7sI8L1sGOPQD0yExmb34ZwwZmM2VK37AVWJrfggULqC/G0vopvtFPMY5uim/0U4yjm+Ib/aI9xs2doB4EOng9zwLygj1YaUW15/EfLh/GjiMlXDO6R/ClExERERERkYjRLAmqMeZx4BNgAfCsMSYNyAbyrLVFwR63rMrheTyiZ1sm9O3QwNYiIiIiIiLSmjTXPKinAZnW2krgfmAVMBu4K5SDXj/uNACW3XcuKQnNXfkrIiIiIiIiJ1PYsjxr7Qtej6/2evwW8FY4zjG5fxY5j14YjkOJiIiIiIhIhGmuGlQRERERERGRJlGCKiIiIiIiIhFBCaqIiIiIiIhEBCWoIiIiIiIiEhGUoIqIiIiIiEhEMNbali6DD2NMEbClpcshzaoDcKSlCyHNRvGNfopxdFN8o59iHN0U3+gXDTE+zVqb5W9FJE4musVaO7qlCyHNxxizQjGOXopv9FOMo5viG/0U4+im+Ea/aI+xmviKiIiIiIhIRFCCKiIiIiIiIhEhEhPUZ1u6ANLsFOPopvhGP8U4uim+0U8xjm6Kb/SL6hhH3CBJIiIiIiIicmqKxBpUEREREREROQU1KUE1xnQ3xnxgjNlojPncGNPVGNPHGLPSGLPdGPMrr21/7V623BjTyxjT3hiz2utvv/f2XvtdaIzZ4v67wGv5CPc+U+opm99yuNdlGWOO1LevnBBKjN3Lxrnju8YYc3c95wg2xncaYza5y/ZDr+WZxpgvjDEzw/MuRK8mxtfv+2qM+ZYxpqKBc9SJrzHmbGPMCmPMBmPMi8YYv789/o5tjDndGPOZ+3N1W0hvwCkglBgbY2KMMX9377vRGPPbes7hL8Z3GGPWG2PWGWPmGGNS/OxXpxzGmF/V+r+hvFnemCgS6vfYGPOwMWaH+/3+qJ5zNDnGDX1+9DsduBC/wyFda7nXnWOMcTZQPn+/008aY9a6f+ejdmTRcAnDdzioay1jzPnGmENen48efvarrxyKcYACja+/7byOEcy1ViDxrXMtbSLx/2FrbcB/QBZwtvvxD4DHgX8BlwOxwFJgMHAa8LV72UXAa36O9QYw2s/yDUA3oAuwFVcSPQhYDnwITKmnbHXK4bXuBWBhffvqL3wxdsdpOK4pjBYA2WGM8TeAZPdfDpABxLvL9Dwws6Xfv0j/a0J8/b6vwLeB14G9DZzDX3zHAD3d698ELvSzX51ju8uxCRjZ0u9da/kLQ4xP93rvtwPdAozxACDevf7fwA1+9qv3d9q9fgjwbku/h5H+F4YYP12zfwPnCDbGdT4/+p0+ufGtdayAr7Xcy5OBD4Dd9RzP3+/0WOBT9+PJwAct/R5G+l8YvsPBXmtdCzzQSNn8lUMxbp741tnO/TjYa61A4lvnWrrW+oj4f7hJNajW2jxr7efupzlAO68PqgN4z/18KjDXvWwuMN77OMaYDu4v04pay3sBx6y1+621B4G9uP5D3ApMB3IbKJ6/cmCMmeHeb1dTXuupKgwxPs1au8ZaWw28C8zwPn4oMbbWfmCtLbPWlgFHgXRrbRWuBPmLUF/7qSDQ+Dbwvn6A6wfQ4e/49cXXWrvcWrun1nlr83fsKcBKa+2qwF/lqS3UGFtr17kfdgUqcH3XPBqI8RZrbZW7Vq0nsNlP8fz+Tnu5FfhPk1/0KSYM3+NMGpjgPZQY+/v86He6acIQXyCoay2A3wB/A+oboMTf73QxkGqMMbhuHBcE/GJPUWGIcbDXWg1+9938/U4rxk3QhPj62w6CvNYigPj6u5autUlE/D8cSh/Uq4CPgFRrbU1V8GGgM9AR9xvk/vLEGmNivfb9FvCqn2N69vM+nrXWYa3Nb6Q8dcphjEkF/g/w20xNGhVMjA8bY84wxiQA51I3EQklxgAYY/oBcdbafe7zHw7q1UlD8fX7vlprj7p/XOvjN741T4wx8cAFwGcBHnso4HA3fVlujDm78ZclXpocY2NMgjFmPa4WEr/02q9GvTE2xrwIHAS+sNau9FMev+Vw7xsPXAi806RXKE2OMa5amZeMq7nuT/2sDzrG9X1+9DsdtGDiW6NJ11rGmBFAd2vt3PoO6O932lq7EfgEWALcB/yswVcktQUT46CutXB99+8xru42zxtjkv0cu045FOOQNBhfP9uFcq0VSHyButfS7mUR8/9wUAmqMeYbuO6evkHdu2ymnmXebgRe8nNof3fsau9bH3/nfAh4zFpbGuAxxC2EGN8B/AOYD+QDJbW2CyXGGGPicDV18XdRJQEKIL7Baiy+DwFvWmsPBHi8NFzNV6bh+t14JoSynVKCjbG1ttJaOxRXM5+HjDHZtTfxdzr3vt8GOgEDjDHf9nf4BspxEfCZtbbePjfiK4Tv8eXW2lHAJOAGY8zYWuuDjnEAnx8JUBh+p5tyrRUD/JEgEg93Te0FwJNAKa7fawlACDEO9lrrSWttP2AY4MTVrLS2OuVQjIMTaHxrbReIUOLb0LV0xPw/3OQE1RjTF3gUuM5aa4EiY0ySe3VHXFn8QaCDe/s4wNbcCXB3rD5cc4Hq1TH3De/9ah3PXzmme3XmbVtPOS4F/mGMyQGuBP5rjDmnqa/5VBNKjK21i6y1Y621E3G1s18fxhgD/Bn42Fo7L7yv+tQRYHybcryA4muMuRJXn5mZ7uf+4lvbMeATa225tXYTkFGrNYb4EY4YW2tzcTUrG9WU77D7DvEbwJkB/k7XuAVXv0YJQCgxdm+PtfYYrlqRwWGMcc02ns9PGF7uKSfU73AQ11qHcP0+L3FfM3U3xuQYYy4J4Hf6euA9a+3LwCXAw8G85lNNiN/hoK61vL77DuAtXN/9QH6nFeMmCjS+frar73jhii/Ufy0dOf8P26Z1+k3H1TF7pNeyp4ArcH1BlgEDcVUzr3Qvuxj4r9f2f8cVhPrOsRLfTr/Ga90L1D+ATp1y1Fpf7776C2+M3fuMw9U/KT6MMb4NeKWedTehwTfCFt/G3lcgp4Fz1IkvrgufFdTqjF/P/jlej/vhGuAsDsgG1rf0exjpf6HEGEjF1cSv5vFqag1k1ECMB7rXGeCfwJ1+9vNbDvdxNrT0e9da/kL9HgNd3P8mAF/hZxCyYGLc2OdHv9MnJ77uZUFfa7nX5zRSxhyvx7cBT7sf9wK2tfR7GOl/4Yixe3mTrrVqvvvu9U8AP/azn79rPsW4GeLrb7tax8lp4BzBxtfvtTQR9v9wHE1zN9AXmGWMAVc1/yW4Omg/DvzLWrsZwBgzC9iCq9nBRe5lSbhGj2qoeeYPcPVPiwXutu53LQAz/ZVDmizUGN+Aq4lQIXCtdXXwry3YGD8F7DTGrHY//5O1tsU7crcyAcc3BHXia4x5DFezwIXu835urf1hA8cAwFq7zX23cBWuwQLuCrFsp4JQYpwEvGFc/fedwDPW1feoNn8x/rUxZiRQBSwGnvOz38x6ynEj8EpTX+gpLNTv8d/dTW8t8KL1PwhZMDEO9PMjDQspvs18reXPS8AMY8waXJ8p/U43LtQYB3WtZYz5jrtpfhWwBqgzBRF+fqfdteqKceACiq8x5pe1t7PWTgjwHMHGt75r6Yj6f9iE9pskIiIiIiIiEh6hjOIrIiIiIiIiEjZKUEVERERERCQiKEEVERERERGRiKAEVURERERERCKCElQRERERERGJCEpQRUREREREJCIoQRUREQmQMeaiIPcbaoxZ0Mg21caY1caY7caYWcaY9Ea2n26MSQimPCIiIpFKCaqIiEgAjDEZwC+a8RTHrLUjrLV9ga3A841s/yCgBFVERKKKElQREZHA/AMY6a7l3GGMuccYs9YYk22M+aExZrkxZpMx5lYAY0ymMeYTY8xq4Ec1BzHGdDTGzHUf55l6zvUHYIwxpr37b74x5mtjzJfGmAxjzN3AKOArY8xlAR5TREQk4ilBFRERCcx9wEZr7QhgL9DOWjvMWrsDeNZaOwaYCPyfe/sfAgvc2+/0Os5vgMfcyzsYY86tfSJrrRNXLWo/a+1R4AJr7ShgJfBNa+3/Aw4AE6y1cwI5poiISGsQ19IFEBERaaXe8Xp8lTHmJ7hu/LZzLxsFPOR+/Akw3f14InCWMcYJpAGn1XP8OMBpjMkCnjbGDADaA9v8bBvoMUVERCKaElQREZHglAMYY1KAJ4CRwGHgoJ9tba3n0621/rbDfcx4oB+uWtSfATustVcYYx5uoDwNHlNERKQ1UBNfERGRwJTgqp2sLREoxtXk9hyv5au8np/ttXwRcCmAMSbRGJPqfTBjTAzwCPCOtfYYkA5sMMbE1jqOd3kaPKaIiEhroQRVREQkANbaPGCbe9CjbK/lBcCnwA7gYly1ngB/BaYZYzYDwzhRi/obYIb7OEuBTu7lbY0xa9zHSQfudS9/AdeIvYuBZV5F+g/wpTHmygaOKSIi0qoYa2u3OhIRERERERE5+VSDKiIiIiIiIhFBCaqIiIiIiIhEBCWoIiIiIiIiEhGUoIqIiIiIiEhEUIIqIiIiIiIiEUEJqoiIiIiIiEQEJagiIiIiIiISEZSgioiIiIiISERQgioiIiIiIiIR4f8DUcET1irI9g8AAAAASUVORK5CYII=\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": 226,
   "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>0.012421</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>0.002464</td>\n",
       "      <td>-0.011019</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>0.027971</td>\n",
       "      <td>0.009805</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>0.031813</td>\n",
       "      <td>0.031247</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>0.025062</td>\n",
       "      <td>0.033919</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>-0.011126</td>\n",
       "      <td>0.020561</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>-0.026273</td>\n",
       "      <td>-0.018592</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>0.051918</td>\n",
       "      <td>-0.020632</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>3697</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>4218.4736</td>\n",
       "      <td>4283.3679</td>\n",
       "      <td>4194.9402</td>\n",
       "      <td>4265.9017</td>\n",
       "      <td>14945830500</td>\n",
       "      <td>2.757913e+11</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>-0.004530</td>\n",
       "      <td>0.006319</td>\n",
       "      <td>-0.004890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3698</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>4280.1397</td>\n",
       "      <td>4287.8166</td>\n",
       "      <td>4223.0240</td>\n",
       "      <td>4258.7459</td>\n",
       "      <td>12703636000</td>\n",
       "      <td>2.512145e+11</td>\n",
       "      <td>-0.001677</td>\n",
       "      <td>0.014618</td>\n",
       "      <td>-0.002014</td>\n",
       "      <td>0.014258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3699</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>4252.5658</td>\n",
       "      <td>4283.3344</td>\n",
       "      <td>4236.6888</td>\n",
       "      <td>4255.2950</td>\n",
       "      <td>12638247000</td>\n",
       "      <td>2.262135e+11</td>\n",
       "      <td>-0.000810</td>\n",
       "      <td>-0.006442</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.006802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3700</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>4269.6088</td>\n",
       "      <td>4287.5771</td>\n",
       "      <td>4241.9570</td>\n",
       "      <td>4276.5174</td>\n",
       "      <td>11708907800</td>\n",
       "      <td>2.263908e+11</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>0.004008</td>\n",
       "      <td>0.004650</td>\n",
       "      <td>0.003648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3701</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>4249.5328</td>\n",
       "      <td>4273.9568</td>\n",
       "      <td>4216.8506</td>\n",
       "      <td>4251.3061</td>\n",
       "      <td>10891827200</td>\n",
       "      <td>2.195944e+11</td>\n",
       "      <td>-0.005895</td>\n",
       "      <td>-0.004702</td>\n",
       "      <td>-0.006232</td>\n",
       "      <td>-0.005062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3702</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-25</td>\n",
       "      <td>4249.0731</td>\n",
       "      <td>4254.8449</td>\n",
       "      <td>4173.9300</td>\n",
       "      <td>4174.5742</td>\n",
       "      <td>10880804600</td>\n",
       "      <td>2.170132e+11</td>\n",
       "      <td>-0.018049</td>\n",
       "      <td>-0.000108</td>\n",
       "      <td>-0.018386</td>\n",
       "      <td>-0.000468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3703</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-28</td>\n",
       "      <td>4128.8379</td>\n",
       "      <td>4174.1206</td>\n",
       "      <td>4091.2978</td>\n",
       "      <td>4148.4663</td>\n",
       "      <td>11844902100</td>\n",
       "      <td>2.134690e+11</td>\n",
       "      <td>-0.006254</td>\n",
       "      <td>-0.028297</td>\n",
       "      <td>-0.006591</td>\n",
       "      <td>-0.028657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3704</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-29</td>\n",
       "      <td>4155.4182</td>\n",
       "      <td>4177.2134</td>\n",
       "      <td>4124.7179</td>\n",
       "      <td>4134.1441</td>\n",
       "      <td>10026697200</td>\n",
       "      <td>1.994639e+11</td>\n",
       "      <td>-0.003452</td>\n",
       "      <td>0.006438</td>\n",
       "      <td>-0.003789</td>\n",
       "      <td>0.006078</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3705 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",
       "3697  000300.ZICN        沪深300  2022-03-18  4218.4736     4283.3679   \n",
       "3698  000300.ZICN        沪深300  2022-03-21  4280.1397     4287.8166   \n",
       "3699  000300.ZICN        沪深300  2022-03-22  4252.5658     4283.3344   \n",
       "3700  000300.ZICN        沪深300  2022-03-23  4269.6088     4287.5771   \n",
       "3701  000300.ZICN        沪深300  2022-03-24  4249.5328     4273.9568   \n",
       "3702  000300.ZICN        沪深300  2022-03-25  4249.0731     4254.8449   \n",
       "3703  000300.ZICN        沪深300  2022-03-28  4128.8379     4174.1206   \n",
       "3704  000300.ZICN        沪深300  2022-03-29  4155.4182     4177.2134   \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",
       "3697    4194.9402   4265.9017  14945830500   2.757913e+11   0.006656   \n",
       "3698    4223.0240   4258.7459  12703636000   2.512145e+11  -0.001677   \n",
       "3699    4236.6888   4255.2950  12638247000   2.262135e+11  -0.000810   \n",
       "3700    4241.9570   4276.5174  11708907800   2.263908e+11   0.004987   \n",
       "3701    4216.8506   4251.3061  10891827200   2.195944e+11  -0.005895   \n",
       "3702    4173.9300   4174.5742  10880804600   2.170132e+11  -0.018049   \n",
       "3703    4091.2978   4148.4663  11844902100   2.134690e+11  -0.006254   \n",
       "3704    4124.7179   4134.1441  10026697200   1.994639e+11  -0.003452   \n",
       "\n",
       "      open_ret  close_ret_demean  open_ret_demean  \n",
       "0          NaN          0.012421              NaN  \n",
       "1    -0.010660          0.002464        -0.011019  \n",
       "2     0.010165          0.027971         0.009805  \n",
       "3     0.031607          0.031813         0.031247  \n",
       "4     0.034279          0.025062         0.033919  \n",
       "5     0.020920         -0.011126         0.020561  \n",
       "6    -0.018232         -0.026273        -0.018592  \n",
       "7    -0.020272          0.051918        -0.020632  \n",
       "...        ...               ...              ...  \n",
       "3697 -0.004530          0.006319        -0.004890  \n",
       "3698  0.014618         -0.002014         0.014258  \n",
       "3699 -0.006442         -0.001147        -0.006802  \n",
       "3700  0.004008          0.004650         0.003648  \n",
       "3701 -0.004702         -0.006232        -0.005062  \n",
       "3702 -0.000108         -0.018386        -0.000468  \n",
       "3703 -0.028297         -0.006591        -0.028657  \n",
       "3704  0.006438         -0.003789         0.006078  \n",
       "\n",
       "[3705 rows x 13 columns]"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MA_df = hs300_df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bc3bfe50>"
      ]
     },
     "execution_count": 228,
     "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": 229,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bbebc950>"
      ]
     },
     "execution_count": 229,
     "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": 230,
   "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": 231,
   "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": 232,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22c91fe150>"
      ]
     },
     "execution_count": 232,
     "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": 233,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22c8ee0cd0>"
      ]
     },
     "execution_count": 233,
     "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": 234,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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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>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>2022-03-18</th>\n",
       "      <td>4218.4736</td>\n",
       "      <td>4265.9017</td>\n",
       "      <td>-0.004530</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>4360.013860</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-21</th>\n",
       "      <td>4280.1397</td>\n",
       "      <td>4258.7459</td>\n",
       "      <td>0.014618</td>\n",
       "      <td>-0.001677</td>\n",
       "      <td>4350.369293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-22</th>\n",
       "      <td>4252.5658</td>\n",
       "      <td>4255.2950</td>\n",
       "      <td>-0.006442</td>\n",
       "      <td>-0.000810</td>\n",
       "      <td>4341.314598</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23</th>\n",
       "      <td>4269.6088</td>\n",
       "      <td>4276.5174</td>\n",
       "      <td>0.004008</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>4335.143436</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24</th>\n",
       "      <td>4249.5328</td>\n",
       "      <td>4251.3061</td>\n",
       "      <td>-0.004702</td>\n",
       "      <td>-0.005895</td>\n",
       "      <td>4327.158928</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-25</th>\n",
       "      <td>4249.0731</td>\n",
       "      <td>4174.5742</td>\n",
       "      <td>-0.000108</td>\n",
       "      <td>-0.018049</td>\n",
       "      <td>4312.627049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-28</th>\n",
       "      <td>4128.8379</td>\n",
       "      <td>4148.4663</td>\n",
       "      <td>-0.028297</td>\n",
       "      <td>-0.006254</td>\n",
       "      <td>4296.992692</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-29</th>\n",
       "      <td>4155.4182</td>\n",
       "      <td>4134.1441</td>\n",
       "      <td>0.006438</td>\n",
       "      <td>-0.003452</td>\n",
       "      <td>4281.483302</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3705 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",
       "2022-03-18  4218.4736   4265.9017 -0.004530   0.006656  4360.013860       0   \n",
       "2022-03-21  4280.1397   4258.7459  0.014618  -0.001677  4350.369293       0   \n",
       "2022-03-22  4252.5658   4255.2950 -0.006442  -0.000810  4341.314598       0   \n",
       "2022-03-23  4269.6088   4276.5174  0.004008   0.004987  4335.143436       0   \n",
       "2022-03-24  4249.5328   4251.3061 -0.004702  -0.005895  4327.158928       0   \n",
       "2022-03-25  4249.0731   4174.5742 -0.000108  -0.018049  4312.627049       0   \n",
       "2022-03-28  4128.8379   4148.4663 -0.028297  -0.006254  4296.992692       0   \n",
       "2022-03-29  4155.4182   4134.1441  0.006438  -0.003452  4281.483302       0   \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                 0.0   \n",
       "2007-01-08               0            0.0                 0.0   \n",
       "2007-01-09               0            0.0                 0.0   \n",
       "2007-01-10               0            0.0                 0.0   \n",
       "2007-01-11               0            0.0                -0.0   \n",
       "2007-01-12               0            0.0                -0.0   \n",
       "2007-01-15               0            0.0                 0.0   \n",
       "...                    ...            ...                 ...   \n",
       "2022-03-18               0            0.0                 0.0   \n",
       "2022-03-21               0            0.0                -0.0   \n",
       "2022-03-22               0            0.0                -0.0   \n",
       "2022-03-23               0            0.0                 0.0   \n",
       "2022-03-24               0            0.0                -0.0   \n",
       "2022-03-25               0            0.0                -0.0   \n",
       "2022-03-28               0            0.0                -0.0   \n",
       "2022-03-29               0            0.0                -0.0   \n",
       "\n",
       "            position_open_ret  position_close_ret_demean  \\\n",
       "tradeDate                                                  \n",
       "2007-01-04                NaN                        NaN   \n",
       "2007-01-05                NaN                        0.0   \n",
       "2007-01-08                0.0                        0.0   \n",
       "2007-01-09                0.0                        0.0   \n",
       "2007-01-10                0.0                        0.0   \n",
       "2007-01-11                0.0                       -0.0   \n",
       "2007-01-12               -0.0                       -0.0   \n",
       "2007-01-15               -0.0                        0.0   \n",
       "...                       ...                        ...   \n",
       "2022-03-18               -0.0                        0.0   \n",
       "2022-03-21                0.0                       -0.0   \n",
       "2022-03-22               -0.0                       -0.0   \n",
       "2022-03-23                0.0                        0.0   \n",
       "2022-03-24               -0.0                       -0.0   \n",
       "2022-03-25               -0.0                       -0.0   \n",
       "2022-03-28               -0.0                       -0.0   \n",
       "2022-03-29                0.0                       -0.0   \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           1.00000              NaN  \n",
       "2007-01-08                       0.0           1.00000          1.00000  \n",
       "2007-01-09                       0.0           1.00000          1.00000  \n",
       "2007-01-10                       0.0           1.00000          1.00000  \n",
       "2007-01-11                       0.0           1.00000          1.00000  \n",
       "2007-01-12                      -0.0           1.00000          1.00000  \n",
       "2007-01-15                      -0.0           1.00000          1.00000  \n",
       "...                              ...               ...              ...  \n",
       "2022-03-18                      -0.0           3.74067          2.65994  \n",
       "2022-03-21                       0.0           3.74067          2.65994  \n",
       "2022-03-22                      -0.0           3.74067          2.65994  \n",
       "2022-03-23                       0.0           3.74067          2.65994  \n",
       "2022-03-24                      -0.0           3.74067          2.65994  \n",
       "2022-03-25                      -0.0           3.74067          2.65994  \n",
       "2022-03-28                      -0.0           3.74067          2.65994  \n",
       "2022-03-29                       0.0           3.74067          2.65994  \n",
       "\n",
       "[3705 rows x 14 columns]"
      ]
     },
     "execution_count": 234,
     "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": 235,
   "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({'position_open_ret_demean':df['position_open_ret_demean'].values, \n",
    "                                 'open_cumret':df['open_cumret'].values})\n",
    "        else:\n",
    "            return pd.DataFrame({'position_open_ret':df['position_open_ret'].values, \n",
    "                                 'open_cumret':df['open_cumret'].values})\n",
    "    else:\n",
    "        if demean:\n",
    "            return pd.DataFrame({'position_close_ret_demean':df['position_close_ret_demean'].values, \n",
    "                                 'close_cumret':df['close_cumret'].values})\n",
    "        else:\n",
    "            return pd.DataFrame({'position_close_ret':df['position_close_ret'].values, \n",
    "                                 'close_cumret':df['close_cumret'].values})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "ema_length = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
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       "      <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",
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       "      <th>turnoverRate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>85</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",
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       "      <th>86</th>\n",
       "      <td>000001.XSHE</td>\n",
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       "      <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",
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       "    <tr>\n",
       "      <th>87</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>88</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",
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       "      <th>89</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>90</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>91</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",
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       "    <tr>\n",
       "      <th>92</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>9972174</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-15</td>\n",
       "      <td>0.594</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.539</td>\n",
       "      <td>9.844000e+07</td>\n",
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       "      <th>9972175</th>\n",
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       "      <td>0.539</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.549</td>\n",
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       "      <th>9972176</th>\n",
       "      <td>900957.XSHG</td>\n",
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       "      <td>0.575</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.589</td>\n",
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       "      <td>1.566370e+05</td>\n",
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       "    <tr>\n",
       "      <th>9972177</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.058000e+08</td>\n",
       "      <td>3.270200e+04</td>\n",
       "      <td>0.0003</td>\n",
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       "    <tr>\n",
       "      <th>9972178</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.576</td>\n",
       "      <td>1.063520e+08</td>\n",
       "      <td>5.280900e+04</td>\n",
       "      <td>0.0005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9972179</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.054320e+08</td>\n",
       "      <td>8.467200e+04</td>\n",
       "      <td>0.0008</td>\n",
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       "    <tr>\n",
       "      <th>9972180</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.578</td>\n",
       "      <td>1.059840e+08</td>\n",
       "      <td>4.250300e+04</td>\n",
       "      <td>0.0004</td>\n",
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       "    <tr>\n",
       "      <th>9972181</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.579</td>\n",
       "      <td>1.063520e+08</td>\n",
       "      <td>1.823400e+04</td>\n",
       "      <td>0.0002</td>\n",
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      "text/plain": [
       "               secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "85       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "86       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "87       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "88       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "89       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "90       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "91       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "92       000001.XSHE 2007-07-02        870.870     867.073    848.402   \n",
       "...              ...        ...            ...         ...        ...   \n",
       "9972174  900957.XSHG 2022-03-15          0.594       0.539      0.592   \n",
       "9972175  900957.XSHG 2022-03-16          0.539       0.575      0.549   \n",
       "9972176  900957.XSHG 2022-03-17          0.575       0.578      0.580   \n",
       "9972177  900957.XSHG 2022-03-18          0.578       0.580      0.578   \n",
       "9972178  900957.XSHG 2022-03-21          0.580       0.583      0.584   \n",
       "9972179  900957.XSHG 2022-03-22          0.583       0.578      0.578   \n",
       "9972180  900957.XSHG 2022-03-23          0.578       0.581      0.578   \n",
       "9972181  900957.XSHG 2022-03-24          0.581       0.583      0.585   \n",
       "\n",
       "         highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "85           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "86           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "87           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "88           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "89           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "90           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "91            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "92            881.629      840.807    4.247515e+10   8.756147e+08   \n",
       "...               ...          ...             ...            ...   \n",
       "9972174         0.592        0.539    9.844000e+07   3.858820e+05   \n",
       "9972175         0.580        0.549    1.048800e+08   3.278910e+05   \n",
       "9972176         0.589        0.575    1.054320e+08   1.566370e+05   \n",
       "9972177         0.580        0.575    1.058000e+08   3.270200e+04   \n",
       "9972178         0.584        0.576    1.063520e+08   5.280900e+04   \n",
       "9972179         0.583        0.575    1.054320e+08   8.467200e+04   \n",
       "9972180         0.585        0.578    1.059840e+08   4.250300e+04   \n",
       "9972181         0.585        0.579    1.063520e+08   1.823400e+04   \n",
       "\n",
       "         turnoverRate  \n",
       "85             0.0840  \n",
       "86             0.0440  \n",
       "87             0.0510  \n",
       "88             0.0426  \n",
       "89             0.0489  \n",
       "90             0.0336  \n",
       "91             0.0316  \n",
       "92             0.0209  \n",
       "...               ...  \n",
       "9972174        0.0037  \n",
       "9972175        0.0032  \n",
       "9972176        0.0015  \n",
       "9972177        0.0003  \n",
       "9972178        0.0005  \n",
       "9972179        0.0008  \n",
       "9972180        0.0004  \n",
       "9972181        0.0002  \n",
       "\n",
       "[9572273 rows x 10 columns]"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['EMA'] = stk_df.groupby('secID')['closePrice'].apply(ta.EMA, 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "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": 240,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df['close_ret'] = stk_df['closePrice']/stk_df['preClosePrice'] - 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "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": 242,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
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       "      <td>-0.016970</td>\n",
       "      <td>0.100033</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</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>88</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>89</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>90</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>91</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>92</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",
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       "    <tr>\n",
       "      <th>9972174</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-15</td>\n",
       "      <td>0.594</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.592</td>\n",
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       "      <td>0.605024</td>\n",
       "      <td>-0.019868</td>\n",
       "      <td>-0.092593</td>\n",
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       "    <tr>\n",
       "      <th>9972175</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-16</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.549</td>\n",
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       "      <td>0.602165</td>\n",
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       "    <tr>\n",
       "      <th>9972176</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-17</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.054320e+08</td>\n",
       "      <td>1.566370e+05</td>\n",
       "      <td>0.0015</td>\n",
       "      <td>0.599863</td>\n",
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       "    <tr>\n",
       "      <th>9972177</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.058000e+08</td>\n",
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       "      <td>0.597972</td>\n",
       "      <td>-0.003448</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>9972178</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.576</td>\n",
       "      <td>1.063520e+08</td>\n",
       "      <td>5.280900e+04</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>0.596546</td>\n",
       "      <td>0.010381</td>\n",
       "      <td>0.005172</td>\n",
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       "    <tr>\n",
       "      <th>9972179</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.054320e+08</td>\n",
       "      <td>8.467200e+04</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.594780</td>\n",
       "      <td>-0.010274</td>\n",
       "      <td>-0.008576</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9972180</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.578</td>\n",
       "      <td>1.059840e+08</td>\n",
       "      <td>4.250300e+04</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.593467</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005190</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9972181</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.579</td>\n",
       "      <td>1.063520e+08</td>\n",
       "      <td>1.823400e+04</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>0.592470</td>\n",
       "      <td>0.012111</td>\n",
       "      <td>0.003442</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9572273 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "85       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "86       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "87       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "88       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "89       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "90       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "91       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "92       000001.XSHE 2007-07-02        870.870     867.073    848.402   \n",
       "...              ...        ...            ...         ...        ...   \n",
       "9972174  900957.XSHG 2022-03-15          0.594       0.539      0.592   \n",
       "9972175  900957.XSHG 2022-03-16          0.539       0.575      0.549   \n",
       "9972176  900957.XSHG 2022-03-17          0.575       0.578      0.580   \n",
       "9972177  900957.XSHG 2022-03-18          0.578       0.580      0.578   \n",
       "9972178  900957.XSHG 2022-03-21          0.580       0.583      0.584   \n",
       "9972179  900957.XSHG 2022-03-22          0.583       0.578      0.578   \n",
       "9972180  900957.XSHG 2022-03-23          0.578       0.581      0.578   \n",
       "9972181  900957.XSHG 2022-03-24          0.581       0.583      0.585   \n",
       "\n",
       "         highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "85           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "86           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "87           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "88           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "89           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "90           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "91            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "92            881.629      840.807    4.247515e+10   8.756147e+08   \n",
       "...               ...          ...             ...            ...   \n",
       "9972174         0.592        0.539    9.844000e+07   3.858820e+05   \n",
       "9972175         0.580        0.549    1.048800e+08   3.278910e+05   \n",
       "9972176         0.589        0.575    1.054320e+08   1.566370e+05   \n",
       "9972177         0.580        0.575    1.058000e+08   3.270200e+04   \n",
       "9972178         0.584        0.576    1.063520e+08   5.280900e+04   \n",
       "9972179         0.583        0.575    1.054320e+08   8.467200e+04   \n",
       "9972180         0.585        0.578    1.059840e+08   4.250300e+04   \n",
       "9972181         0.585        0.579    1.063520e+08   1.823400e+04   \n",
       "\n",
       "         turnoverRate       EMA  open_ret  close_ret  signal  \n",
       "85             0.0840       NaN       NaN   0.197544       0  \n",
       "86             0.0440       NaN -0.016970   0.100033       0  \n",
       "87             0.0510       NaN  0.097410   0.031769       0  \n",
       "88             0.0426       NaN  0.011516  -0.005650       0  \n",
       "89             0.0489       NaN -0.120245  -0.084659       0  \n",
       "90             0.0336       NaN -0.005682  -0.064557       0  \n",
       "91             0.0316       NaN -0.053968  -0.086928       0  \n",
       "92             0.0209       NaN -0.100336  -0.004360       0  \n",
       "...               ...       ...       ...        ...     ...  \n",
       "9972174        0.0037  0.605024 -0.019868  -0.092593       0  \n",
       "9972175        0.0032  0.602165 -0.072635   0.066790       0  \n",
       "9972176        0.0015  0.599863  0.056466   0.005217       0  \n",
       "9972177        0.0003  0.597972 -0.003448   0.003460       0  \n",
       "9972178        0.0005  0.596546  0.010381   0.005172       0  \n",
       "9972179        0.0008  0.594780 -0.010274  -0.008576       0  \n",
       "9972180        0.0004  0.593467  0.000000   0.005190       0  \n",
       "9972181        0.0002  0.592470  0.012111   0.003442       0  \n",
       "\n",
       "[9572273 rows x 14 columns]"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 51 s, sys: 7.58 s, total: 58.6 s\n",
      "Wall time: 58.5 s\n"
     ]
    }
   ],
   "source": [
    "# %%time\n",
    "# rule_ret_df = stk_df.groupby('secID').apply(rule_return)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.drop('level_1',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>9572272</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.078313</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9572273 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               secID  position_open_ret_demean  open_cumret\n",
       "0        000001.XSHE                       NaN          NaN\n",
       "1        000001.XSHE                       NaN          NaN\n",
       "2        000001.XSHE                       0.0     1.000000\n",
       "3        000001.XSHE                       0.0     1.000000\n",
       "4        000001.XSHE                      -0.0     1.000000\n",
       "5        000001.XSHE                      -0.0     1.000000\n",
       "6        000001.XSHE                      -0.0     1.000000\n",
       "7        000001.XSHE                      -0.0     1.000000\n",
       "...              ...                       ...          ...\n",
       "9572265  900957.XSHG                      -0.0    11.078313\n",
       "9572266  900957.XSHG                      -0.0    11.078313\n",
       "9572267  900957.XSHG                       0.0    11.078313\n",
       "9572268  900957.XSHG                      -0.0    11.078313\n",
       "9572269  900957.XSHG                       0.0    11.078313\n",
       "9572270  900957.XSHG                      -0.0    11.078313\n",
       "9572271  900957.XSHG                      -0.0    11.078313\n",
       "9572272  900957.XSHG                       0.0    11.078313\n",
       "\n",
       "[9572273 rows x 3 columns]"
      ]
     },
     "execution_count": 247,
     "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": 248,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_cumret_by_crs = rule_ret_df.groupby('secID')['open_cumret'].last()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000001.XSHE     2.247491\n",
       "000002.XSHE     2.037616\n",
       "000004.XSHE     1.182536\n",
       "000005.XSHE     2.268963\n",
       "000006.XSHE     3.798475\n",
       "000007.XSHE     3.142883\n",
       "000008.XSHE     6.112482\n",
       "000009.XSHE     5.218878\n",
       "                 ...    \n",
       "900949.XSHG     1.129286\n",
       "900950.XSHG    12.201472\n",
       "900951.XSHG     7.650008\n",
       "900952.XSHG     2.009501\n",
       "900953.XSHG     2.522993\n",
       "900955.XSHG     1.464120\n",
       "900956.XSHG    12.767927\n",
       "900957.XSHG    11.078313\n",
       "Name: open_cumret, Length: 4870, dtype: float64"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4867.000000\n",
       "mean        2.285308\n",
       "std         3.617308\n",
       "min         0.069396\n",
       "25%         0.710347\n",
       "50%         1.082552\n",
       "75%         2.311318\n",
       "max        57.172836\n",
       "Name: open_cumret, dtype: float64"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b1570dd0>"
      ]
     },
     "execution_count": 252,
     "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": 144,
   "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>1.285308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>24.791163</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_cumret\n",
       "ret_mean     1.285308\n",
       "t_values    24.791163"
      ]
     },
     "execution_count": 144,
     "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": 145,
   "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             2.2853      0.052     24.789      0.000       2.184       2.387\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": 253,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05679082026478244"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1.29/(2021-2007+1)\n",
    "2.29**(1/(2021-2007+1)) - 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### Cross-sectional test of mean daily return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000001.XSHE    0.000126\n",
       "000002.XSHE    0.000014\n",
       "000004.XSHE    0.000027\n",
       "000005.XSHE    0.000409\n",
       "000006.XSHE    0.000257\n",
       "000007.XSHE    0.000581\n",
       "000008.XSHE    0.000701\n",
       "000009.XSHE    0.000376\n",
       "                 ...   \n",
       "900949.XSHG   -0.000143\n",
       "900950.XSHG    0.000669\n",
       "900951.XSHG    0.000887\n",
       "900952.XSHG    0.000204\n",
       "900953.XSHG    0.000280\n",
       "900955.XSHG    0.000249\n",
       "900956.XSHG    0.000429\n",
       "900957.XSHG    0.000550\n",
       "Name: position_open_ret_demean, Length: 4870, dtype: float64"
      ]
     },
     "execution_count": 254,
     "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": 255,
   "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>3951029</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>19.010</td>\n",
       "      <td>27.370</td>\n",
       "      <td>22.810</td>\n",
       "      <td>27.370</td>\n",
       "      <td>22.810</td>\n",
       "      <td>6.842500e+08</td>\n",
       "      <td>2.038940e+06</td>\n",
       "      <td>0.0030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.439769</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951030</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>27.370</td>\n",
       "      <td>30.110</td>\n",
       "      <td>30.110</td>\n",
       "      <td>30.110</td>\n",
       "      <td>30.110</td>\n",
       "      <td>7.527500e+08</td>\n",
       "      <td>7.342022e+05</td>\n",
       "      <td>0.0010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.320035</td>\n",
       "      <td>0.100110</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951031</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>30.110</td>\n",
       "      <td>33.120</td>\n",
       "      <td>33.120</td>\n",
       "      <td>33.120</td>\n",
       "      <td>33.120</td>\n",
       "      <td>8.280000e+08</td>\n",
       "      <td>9.052358e+05</td>\n",
       "      <td>0.0011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.099967</td>\n",
       "      <td>0.099967</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951032</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>33.120</td>\n",
       "      <td>36.430</td>\n",
       "      <td>36.430</td>\n",
       "      <td>36.430</td>\n",
       "      <td>36.430</td>\n",
       "      <td>9.107500e+08</td>\n",
       "      <td>1.077344e+06</td>\n",
       "      <td>0.0012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.099940</td>\n",
       "      <td>0.099940</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951033</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>36.430</td>\n",
       "      <td>40.070</td>\n",
       "      <td>40.070</td>\n",
       "      <td>40.070</td>\n",
       "      <td>40.070</td>\n",
       "      <td>1.001750e+09</td>\n",
       "      <td>8.518842e+06</td>\n",
       "      <td>0.0085</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.099918</td>\n",
       "      <td>0.099918</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951034</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>40.070</td>\n",
       "      <td>44.080</td>\n",
       "      <td>44.080</td>\n",
       "      <td>44.080</td>\n",
       "      <td>44.080</td>\n",
       "      <td>1.102000e+09</td>\n",
       "      <td>1.246358e+07</td>\n",
       "      <td>0.0113</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100075</td>\n",
       "      <td>0.100075</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951035</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>44.080</td>\n",
       "      <td>48.490</td>\n",
       "      <td>48.490</td>\n",
       "      <td>48.490</td>\n",
       "      <td>48.490</td>\n",
       "      <td>1.212250e+09</td>\n",
       "      <td>7.822019e+06</td>\n",
       "      <td>0.0065</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100045</td>\n",
       "      <td>0.100045</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951036</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>48.490</td>\n",
       "      <td>48.770</td>\n",
       "      <td>53.340</td>\n",
       "      <td>53.340</td>\n",
       "      <td>44.510</td>\n",
       "      <td>1.219250e+09</td>\n",
       "      <td>8.048023e+08</td>\n",
       "      <td>0.6543</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100021</td>\n",
       "      <td>0.005774</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>3951520</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-15</td>\n",
       "      <td>25.451</td>\n",
       "      <td>23.813</td>\n",
       "      <td>25.072</td>\n",
       "      <td>25.231</td>\n",
       "      <td>23.716</td>\n",
       "      <td>6.869622e+08</td>\n",
       "      <td>3.826424e+07</td>\n",
       "      <td>0.0541</td>\n",
       "      <td>28.166318</td>\n",
       "      <td>-0.029346</td>\n",
       "      <td>-0.064359</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951521</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-16</td>\n",
       "      <td>23.813</td>\n",
       "      <td>24.706</td>\n",
       "      <td>23.960</td>\n",
       "      <td>24.791</td>\n",
       "      <td>23.728</td>\n",
       "      <td>7.127056e+08</td>\n",
       "      <td>3.287698e+07</td>\n",
       "      <td>0.0470</td>\n",
       "      <td>27.836764</td>\n",
       "      <td>-0.044352</td>\n",
       "      <td>0.037501</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951522</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-17</td>\n",
       "      <td>24.706</td>\n",
       "      <td>25.623</td>\n",
       "      <td>25.060</td>\n",
       "      <td>26.124</td>\n",
       "      <td>24.755</td>\n",
       "      <td>7.391544e+08</td>\n",
       "      <td>4.389931e+07</td>\n",
       "      <td>0.0596</td>\n",
       "      <td>27.625929</td>\n",
       "      <td>0.045910</td>\n",
       "      <td>0.037116</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951523</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>25.623</td>\n",
       "      <td>25.708</td>\n",
       "      <td>25.635</td>\n",
       "      <td>26.283</td>\n",
       "      <td>25.635</td>\n",
       "      <td>7.416230e+08</td>\n",
       "      <td>2.176779e+07</td>\n",
       "      <td>0.0292</td>\n",
       "      <td>27.443269</td>\n",
       "      <td>0.022945</td>\n",
       "      <td>0.003317</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951524</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>25.708</td>\n",
       "      <td>25.867</td>\n",
       "      <td>25.843</td>\n",
       "      <td>26.258</td>\n",
       "      <td>25.549</td>\n",
       "      <td>7.462074e+08</td>\n",
       "      <td>3.094849e+07</td>\n",
       "      <td>0.0415</td>\n",
       "      <td>27.293148</td>\n",
       "      <td>0.008114</td>\n",
       "      <td>0.006185</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951525</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>25.867</td>\n",
       "      <td>25.733</td>\n",
       "      <td>25.671</td>\n",
       "      <td>26.099</td>\n",
       "      <td>25.354</td>\n",
       "      <td>7.423282e+08</td>\n",
       "      <td>2.561425e+07</td>\n",
       "      <td>0.0345</td>\n",
       "      <td>27.144563</td>\n",
       "      <td>-0.006656</td>\n",
       "      <td>-0.005180</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951526</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>25.733</td>\n",
       "      <td>26.429</td>\n",
       "      <td>25.733</td>\n",
       "      <td>27.077</td>\n",
       "      <td>25.598</td>\n",
       "      <td>7.624293e+08</td>\n",
       "      <td>5.088399e+07</td>\n",
       "      <td>0.0669</td>\n",
       "      <td>27.076414</td>\n",
       "      <td>0.002415</td>\n",
       "      <td>0.027047</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3951527</th>\n",
       "      <td>002976.XSHE</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>26.429</td>\n",
       "      <td>25.953</td>\n",
       "      <td>26.466</td>\n",
       "      <td>26.894</td>\n",
       "      <td>25.916</td>\n",
       "      <td>7.486760e+08</td>\n",
       "      <td>3.830633e+07</td>\n",
       "      <td>0.0504</td>\n",
       "      <td>26.969422</td>\n",
       "      <td>0.028485</td>\n",
       "      <td>-0.018011</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>499 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "3951029  002976.XSHE 2020-03-06         19.010      27.370     22.810   \n",
       "3951030  002976.XSHE 2020-03-09         27.370      30.110     30.110   \n",
       "3951031  002976.XSHE 2020-03-10         30.110      33.120     33.120   \n",
       "3951032  002976.XSHE 2020-03-11         33.120      36.430     36.430   \n",
       "3951033  002976.XSHE 2020-03-12         36.430      40.070     40.070   \n",
       "3951034  002976.XSHE 2020-03-13         40.070      44.080     44.080   \n",
       "3951035  002976.XSHE 2020-03-16         44.080      48.490     48.490   \n",
       "3951036  002976.XSHE 2020-03-17         48.490      48.770     53.340   \n",
       "...              ...        ...            ...         ...        ...   \n",
       "3951520  002976.XSHE 2022-03-15         25.451      23.813     25.072   \n",
       "3951521  002976.XSHE 2022-03-16         23.813      24.706     23.960   \n",
       "3951522  002976.XSHE 2022-03-17         24.706      25.623     25.060   \n",
       "3951523  002976.XSHE 2022-03-18         25.623      25.708     25.635   \n",
       "3951524  002976.XSHE 2022-03-21         25.708      25.867     25.843   \n",
       "3951525  002976.XSHE 2022-03-22         25.867      25.733     25.671   \n",
       "3951526  002976.XSHE 2022-03-23         25.733      26.429     25.733   \n",
       "3951527  002976.XSHE 2022-03-24         26.429      25.953     26.466   \n",
       "\n",
       "         highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "3951029        27.370       22.810    6.842500e+08   2.038940e+06   \n",
       "3951030        30.110       30.110    7.527500e+08   7.342022e+05   \n",
       "3951031        33.120       33.120    8.280000e+08   9.052358e+05   \n",
       "3951032        36.430       36.430    9.107500e+08   1.077344e+06   \n",
       "3951033        40.070       40.070    1.001750e+09   8.518842e+06   \n",
       "3951034        44.080       44.080    1.102000e+09   1.246358e+07   \n",
       "3951035        48.490       48.490    1.212250e+09   7.822019e+06   \n",
       "3951036        53.340       44.510    1.219250e+09   8.048023e+08   \n",
       "...               ...          ...             ...            ...   \n",
       "3951520        25.231       23.716    6.869622e+08   3.826424e+07   \n",
       "3951521        24.791       23.728    7.127056e+08   3.287698e+07   \n",
       "3951522        26.124       24.755    7.391544e+08   4.389931e+07   \n",
       "3951523        26.283       25.635    7.416230e+08   2.176779e+07   \n",
       "3951524        26.258       25.549    7.462074e+08   3.094849e+07   \n",
       "3951525        26.099       25.354    7.423282e+08   2.561425e+07   \n",
       "3951526        27.077       25.598    7.624293e+08   5.088399e+07   \n",
       "3951527        26.894       25.916    7.486760e+08   3.830633e+07   \n",
       "\n",
       "         turnoverRate        EMA  open_ret  close_ret  signal  \n",
       "3951029        0.0030        NaN       NaN   0.439769       0  \n",
       "3951030        0.0010        NaN  0.320035   0.100110       0  \n",
       "3951031        0.0011        NaN  0.099967   0.099967       0  \n",
       "3951032        0.0012        NaN  0.099940   0.099940       0  \n",
       "3951033        0.0085        NaN  0.099918   0.099918       0  \n",
       "3951034        0.0113        NaN  0.100075   0.100075       0  \n",
       "3951035        0.0065        NaN  0.100045   0.100045       0  \n",
       "3951036        0.6543        NaN  0.100021   0.005774       0  \n",
       "...               ...        ...       ...        ...     ...  \n",
       "3951520        0.0541  28.166318 -0.029346  -0.064359       0  \n",
       "3951521        0.0470  27.836764 -0.044352   0.037501       0  \n",
       "3951522        0.0596  27.625929  0.045910   0.037116       0  \n",
       "3951523        0.0292  27.443269  0.022945   0.003317       0  \n",
       "3951524        0.0415  27.293148  0.008114   0.006185       0  \n",
       "3951525        0.0345  27.144563 -0.006656  -0.005180       0  \n",
       "3951526        0.0669  27.076414  0.002415   0.027047       0  \n",
       "3951527        0.0504  26.969422  0.028485  -0.018011       0  \n",
       "\n",
       "[499 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "-0.00112367221951029"
      ]
     },
     "execution_count": 255,
     "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": 256,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.00112367221951029"
      ]
     },
     "execution_count": 256,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_tsmean_ret_by_crs['002976.XSHE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "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": 258,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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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>rule_daily_ret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ret_mean</th>\n",
       "      <td>-0.000170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>-14.688526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_daily_ret\n",
       "ret_mean       -0.000170\n",
       "t_values      -14.688526"
      ]
     },
     "execution_count": 258,
     "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": 259,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</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>2022-03-18</th>\n",
       "      <td>4218.4736</td>\n",
       "      <td>4265.9017</td>\n",
       "      <td>-0.004530</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>4360.013860</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-21</th>\n",
       "      <td>4280.1397</td>\n",
       "      <td>4258.7459</td>\n",
       "      <td>0.014618</td>\n",
       "      <td>-0.001677</td>\n",
       "      <td>4350.369293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-22</th>\n",
       "      <td>4252.5658</td>\n",
       "      <td>4255.2950</td>\n",
       "      <td>-0.006442</td>\n",
       "      <td>-0.000810</td>\n",
       "      <td>4341.314598</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23</th>\n",
       "      <td>4269.6088</td>\n",
       "      <td>4276.5174</td>\n",
       "      <td>0.004008</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>4335.143436</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24</th>\n",
       "      <td>4249.5328</td>\n",
       "      <td>4251.3061</td>\n",
       "      <td>-0.004702</td>\n",
       "      <td>-0.005895</td>\n",
       "      <td>4327.158928</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-25</th>\n",
       "      <td>4249.0731</td>\n",
       "      <td>4174.5742</td>\n",
       "      <td>-0.000108</td>\n",
       "      <td>-0.018049</td>\n",
       "      <td>4312.627049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-28</th>\n",
       "      <td>4128.8379</td>\n",
       "      <td>4148.4663</td>\n",
       "      <td>-0.028297</td>\n",
       "      <td>-0.006254</td>\n",
       "      <td>4296.992692</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-29</th>\n",
       "      <td>4155.4182</td>\n",
       "      <td>4134.1441</td>\n",
       "      <td>0.006438</td>\n",
       "      <td>-0.003452</td>\n",
       "      <td>4281.483302</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.74067</td>\n",
       "      <td>2.65994</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3705 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",
       "2022-03-18  4218.4736   4265.9017 -0.004530   0.006656  4360.013860       0   \n",
       "2022-03-21  4280.1397   4258.7459  0.014618  -0.001677  4350.369293       0   \n",
       "2022-03-22  4252.5658   4255.2950 -0.006442  -0.000810  4341.314598       0   \n",
       "2022-03-23  4269.6088   4276.5174  0.004008   0.004987  4335.143436       0   \n",
       "2022-03-24  4249.5328   4251.3061 -0.004702  -0.005895  4327.158928       0   \n",
       "2022-03-25  4249.0731   4174.5742 -0.000108  -0.018049  4312.627049       0   \n",
       "2022-03-28  4128.8379   4148.4663 -0.028297  -0.006254  4296.992692       0   \n",
       "2022-03-29  4155.4182   4134.1441  0.006438  -0.003452  4281.483302       0   \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                 0.0   \n",
       "2007-01-08               0            0.0                 0.0   \n",
       "2007-01-09               0            0.0                 0.0   \n",
       "2007-01-10               0            0.0                 0.0   \n",
       "2007-01-11               0            0.0                -0.0   \n",
       "2007-01-12               0            0.0                -0.0   \n",
       "2007-01-15               0            0.0                 0.0   \n",
       "...                    ...            ...                 ...   \n",
       "2022-03-18               0            0.0                 0.0   \n",
       "2022-03-21               0            0.0                -0.0   \n",
       "2022-03-22               0            0.0                -0.0   \n",
       "2022-03-23               0            0.0                 0.0   \n",
       "2022-03-24               0            0.0                -0.0   \n",
       "2022-03-25               0            0.0                -0.0   \n",
       "2022-03-28               0            0.0                -0.0   \n",
       "2022-03-29               0            0.0                -0.0   \n",
       "\n",
       "            position_open_ret  position_close_ret_demean  \\\n",
       "tradeDate                                                  \n",
       "2007-01-04                NaN                        NaN   \n",
       "2007-01-05                NaN                        0.0   \n",
       "2007-01-08                0.0                        0.0   \n",
       "2007-01-09                0.0                        0.0   \n",
       "2007-01-10                0.0                        0.0   \n",
       "2007-01-11                0.0                       -0.0   \n",
       "2007-01-12               -0.0                       -0.0   \n",
       "2007-01-15               -0.0                        0.0   \n",
       "...                       ...                        ...   \n",
       "2022-03-18               -0.0                        0.0   \n",
       "2022-03-21                0.0                       -0.0   \n",
       "2022-03-22               -0.0                       -0.0   \n",
       "2022-03-23                0.0                        0.0   \n",
       "2022-03-24               -0.0                       -0.0   \n",
       "2022-03-25               -0.0                       -0.0   \n",
       "2022-03-28               -0.0                       -0.0   \n",
       "2022-03-29                0.0                       -0.0   \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           1.00000              NaN  \n",
       "2007-01-08                       0.0           1.00000          1.00000  \n",
       "2007-01-09                       0.0           1.00000          1.00000  \n",
       "2007-01-10                       0.0           1.00000          1.00000  \n",
       "2007-01-11                       0.0           1.00000          1.00000  \n",
       "2007-01-12                      -0.0           1.00000          1.00000  \n",
       "2007-01-15                      -0.0           1.00000          1.00000  \n",
       "...                              ...               ...              ...  \n",
       "2022-03-18                      -0.0           3.74067          2.65994  \n",
       "2022-03-21                       0.0           3.74067          2.65994  \n",
       "2022-03-22                      -0.0           3.74067          2.65994  \n",
       "2022-03-23                       0.0           3.74067          2.65994  \n",
       "2022-03-24                      -0.0           3.74067          2.65994  \n",
       "2022-03-25                      -0.0           3.74067          2.65994  \n",
       "2022-03-28                      -0.0           3.74067          2.65994  \n",
       "2022-03-29                       0.0           3.74067          2.65994  \n",
       "\n",
       "[3705 rows x 14 columns]"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "EMA_ret_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "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": 261,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3703"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0001432750113396586"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "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": 264,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bad48490>"
      ]
     },
     "execution_count": 264,
     "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": 265,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "232"
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(rule_ret_mean_distr > rule_ret_series.mean()).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.232"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(rule_ret_mean_distr > rule_ret_series.mean()).sum() / n_boostrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0001432750113396586"
      ]
     },
     "execution_count": 267,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(rule_ret_series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "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": 273,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.221"
      ]
     },
     "execution_count": 273,
     "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": 282,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "one_stk_id = np.random.choice(rule_ret_df['secID'].unique(),1)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "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": 284,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22babc5510>"
      ]
     },
     "execution_count": 284,
     "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": 285,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.479"
      ]
     },
     "execution_count": 287,
     "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": 288,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_id_300 = np.random.choice(rule_ret_df['secID'].unique(),300,replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp = rule_ret_df.loc[rule_ret_df['secID'].isin(stk_id_300)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "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>position_open_ret_demean</th>\n",
       "      <th>open_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38193</th>\n",
       "      <td>000017.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38194</th>\n",
       "      <td>000017.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38195</th>\n",
       "      <td>000017.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38196</th>\n",
       "      <td>000017.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38197</th>\n",
       "      <td>000017.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38198</th>\n",
       "      <td>000017.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38199</th>\n",
       "      <td>000017.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38200</th>\n",
       "      <td>000017.XSHE</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421263</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421264</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421265</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421266</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421267</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421268</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421269</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421270</th>\n",
       "      <td>900907.XSHG</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>4.953652</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>566220 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               secID  position_open_ret_demean  open_cumret\n",
       "38193    000017.XSHE                      -0.0     1.000000\n",
       "38194    000017.XSHE                       0.0     1.000000\n",
       "38195    000017.XSHE                      -0.0     1.000000\n",
       "38196    000017.XSHE                      -0.0     1.000000\n",
       "38197    000017.XSHE                       0.0     1.000000\n",
       "38198    000017.XSHE                      -0.0     1.000000\n",
       "38199    000017.XSHE                       0.0     1.000000\n",
       "38200    000017.XSHE                      -0.0     1.000000\n",
       "...              ...                       ...          ...\n",
       "9421263  900907.XSHG                      -0.0     4.953652\n",
       "9421264  900907.XSHG                      -0.0     4.953652\n",
       "9421265  900907.XSHG                      -0.0     4.953652\n",
       "9421266  900907.XSHG                       0.0     4.953652\n",
       "9421267  900907.XSHG                      -0.0     4.953652\n",
       "9421268  900907.XSHG                      -0.0     4.953652\n",
       "9421269  900907.XSHG                       0.0     4.953652\n",
       "9421270  900907.XSHG                      -0.0     4.953652\n",
       "\n",
       "[566220 rows x 3 columns]"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 42 s, sys: 12 ms, total: 42 s\n",
      "Wall time: 42 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "stk_white_p = temp.groupby('secID')['position_open_ret_demean'].apply(white_reality_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000017.XSHE    0.251\n",
       "000032.XSHE    0.459\n",
       "000038.XSHE    0.473\n",
       "000050.XSHE    0.322\n",
       "000058.XSHE    0.410\n",
       "000061.XSHE    0.407\n",
       "000078.XSHE    0.080\n",
       "000157.XSHE    0.142\n",
       "               ...  \n",
       "688579.XSHG    0.340\n",
       "688611.XSHG    0.436\n",
       "688711.XSHG    0.460\n",
       "688737.XSHG    0.653\n",
       "688767.XSHG    0.426\n",
       "688788.XSHG    0.218\n",
       "688798.XSHG    0.617\n",
       "900907.XSHG    0.021\n",
       "Name: position_open_ret_demean, Length: 300, dtype: float64"
      ]
     },
     "execution_count": 293,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    285.000000\n",
       "mean       0.527839\n",
       "std        0.254886\n",
       "min        0.001000\n",
       "25%        0.331000\n",
       "50%        0.513000\n",
       "75%        0.751000\n",
       "max        0.988000\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22bab4a190>"
      ]
     },
     "execution_count": 295,
     "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": 296,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000078.XSHE    0.080\n",
       "002092.XSHE    0.095\n",
       "002208.XSHE    0.097\n",
       "002220.XSHE    0.001\n",
       "002450.XSHE    0.025\n",
       "200413.XSHE    0.031\n",
       "600166.XSHG    0.099\n",
       "601825.XSHG    0.026\n",
       "603555.XSHG    0.030\n",
       "900907.XSHG    0.021\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.loc[stk_white_p < 0.10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "good_EMA_stks = stk_white_p.loc[stk_white_p < 0.10].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22baaa51d0>"
      ]
     },
     "execution_count": 299,
     "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']=='600166.XSHG','open_cumret'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "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>position_open_ret_demean</th>\n",
       "      <th>open_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000078.XSHE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000078.XSHE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000078.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000078.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000078.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000078.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000078.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000078.XSHE</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15056</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15057</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15058</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15059</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15060</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15061</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15062</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15063</th>\n",
       "      <td>002450.XSHE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.112926</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15064 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             secID  position_open_ret_demean  open_cumret\n",
       "0      000078.XSHE                       NaN          NaN\n",
       "1      000078.XSHE                       NaN          NaN\n",
       "2      000078.XSHE                       0.0     1.000000\n",
       "3      000078.XSHE                       0.0     1.000000\n",
       "4      000078.XSHE                      -0.0     1.000000\n",
       "5      000078.XSHE                       0.0     1.000000\n",
       "6      000078.XSHE                       0.0     1.000000\n",
       "7      000078.XSHE                      -0.0     1.000000\n",
       "...            ...                       ...          ...\n",
       "15056  002450.XSHE                      -0.0     3.112926\n",
       "15057  002450.XSHE                      -0.0     3.112926\n",
       "15058  002450.XSHE                      -0.0     3.112926\n",
       "15059  002450.XSHE                      -0.0     3.112926\n",
       "15060  002450.XSHE                      -0.0     3.112926\n",
       "15061  002450.XSHE                       0.0     3.112926\n",
       "15062  002450.XSHE                      -0.0     3.112926\n",
       "15063  002450.XSHE                       0.0     3.112926\n",
       "\n",
       "[15064 rows x 3 columns]"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_df.loc[rule_ret_df['secID'].isin(good_EMA_stks[0:5])].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp2 = rule_ret_df.loc[rule_ret_df['secID'].isin(good_EMA_stks)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22ba9ca390>"
      ]
     },
     "execution_count": 302,
     "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": [
    "pd.concat({k: g.reset_index(drop=True) for k, g in temp2.groupby('secID')['open_cumret']}, axis=1).plot(grid=True)"
   ]
  },
  {
   "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": 303,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "MACD_df = hs300_df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "fastperiod = 12  \n",
    "slowperiod = 26  \n",
    "signalperiod = 9 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "  <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>0.012421</td>\n",
       "      <td>NaN</td>\n",
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       "    <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>0.002464</td>\n",
       "      <td>-0.011019</td>\n",
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       "    <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>0.027971</td>\n",
       "      <td>0.009805</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>0.031813</td>\n",
       "      <td>0.031247</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>0.025062</td>\n",
       "      <td>0.033919</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>-0.011126</td>\n",
       "      <td>0.020561</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>-0.026273</td>\n",
       "      <td>-0.018592</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>0.051918</td>\n",
       "      <td>-0.020632</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>3697</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>4218.4736</td>\n",
       "      <td>4283.3679</td>\n",
       "      <td>4194.9402</td>\n",
       "      <td>4265.9017</td>\n",
       "      <td>14945830500</td>\n",
       "      <td>2.757913e+11</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>-0.004530</td>\n",
       "      <td>0.006319</td>\n",
       "      <td>-0.004890</td>\n",
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       "    <tr>\n",
       "      <th>3698</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>4280.1397</td>\n",
       "      <td>4287.8166</td>\n",
       "      <td>4223.0240</td>\n",
       "      <td>4258.7459</td>\n",
       "      <td>12703636000</td>\n",
       "      <td>2.512145e+11</td>\n",
       "      <td>-0.001677</td>\n",
       "      <td>0.014618</td>\n",
       "      <td>-0.002014</td>\n",
       "      <td>0.014258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3699</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>4252.5658</td>\n",
       "      <td>4283.3344</td>\n",
       "      <td>4236.6888</td>\n",
       "      <td>4255.2950</td>\n",
       "      <td>12638247000</td>\n",
       "      <td>2.262135e+11</td>\n",
       "      <td>-0.000810</td>\n",
       "      <td>-0.006442</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.006802</td>\n",
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       "    <tr>\n",
       "      <th>3700</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>4269.6088</td>\n",
       "      <td>4287.5771</td>\n",
       "      <td>4241.9570</td>\n",
       "      <td>4276.5174</td>\n",
       "      <td>11708907800</td>\n",
       "      <td>2.263908e+11</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>0.004008</td>\n",
       "      <td>0.004650</td>\n",
       "      <td>0.003648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3701</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>4249.5328</td>\n",
       "      <td>4273.9568</td>\n",
       "      <td>4216.8506</td>\n",
       "      <td>4251.3061</td>\n",
       "      <td>10891827200</td>\n",
       "      <td>2.195944e+11</td>\n",
       "      <td>-0.005895</td>\n",
       "      <td>-0.004702</td>\n",
       "      <td>-0.006232</td>\n",
       "      <td>-0.005062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3702</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-25</td>\n",
       "      <td>4249.0731</td>\n",
       "      <td>4254.8449</td>\n",
       "      <td>4173.9300</td>\n",
       "      <td>4174.5742</td>\n",
       "      <td>10880804600</td>\n",
       "      <td>2.170132e+11</td>\n",
       "      <td>-0.018049</td>\n",
       "      <td>-0.000108</td>\n",
       "      <td>-0.018386</td>\n",
       "      <td>-0.000468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3703</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-28</td>\n",
       "      <td>4128.8379</td>\n",
       "      <td>4174.1206</td>\n",
       "      <td>4091.2978</td>\n",
       "      <td>4148.4663</td>\n",
       "      <td>11844902100</td>\n",
       "      <td>2.134690e+11</td>\n",
       "      <td>-0.006254</td>\n",
       "      <td>-0.028297</td>\n",
       "      <td>-0.006591</td>\n",
       "      <td>-0.028657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3704</th>\n",
       "      <td>000300.ZICN</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>2022-03-29</td>\n",
       "      <td>4155.4182</td>\n",
       "      <td>4177.2134</td>\n",
       "      <td>4124.7179</td>\n",
       "      <td>4134.1441</td>\n",
       "      <td>10026697200</td>\n",
       "      <td>1.994639e+11</td>\n",
       "      <td>-0.003452</td>\n",
       "      <td>0.006438</td>\n",
       "      <td>-0.003789</td>\n",
       "      <td>0.006078</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3705 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",
       "3697  000300.ZICN        沪深300  2022-03-18  4218.4736     4283.3679   \n",
       "3698  000300.ZICN        沪深300  2022-03-21  4280.1397     4287.8166   \n",
       "3699  000300.ZICN        沪深300  2022-03-22  4252.5658     4283.3344   \n",
       "3700  000300.ZICN        沪深300  2022-03-23  4269.6088     4287.5771   \n",
       "3701  000300.ZICN        沪深300  2022-03-24  4249.5328     4273.9568   \n",
       "3702  000300.ZICN        沪深300  2022-03-25  4249.0731     4254.8449   \n",
       "3703  000300.ZICN        沪深300  2022-03-28  4128.8379     4174.1206   \n",
       "3704  000300.ZICN        沪深300  2022-03-29  4155.4182     4177.2134   \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",
       "3697    4194.9402   4265.9017  14945830500   2.757913e+11   0.006656   \n",
       "3698    4223.0240   4258.7459  12703636000   2.512145e+11  -0.001677   \n",
       "3699    4236.6888   4255.2950  12638247000   2.262135e+11  -0.000810   \n",
       "3700    4241.9570   4276.5174  11708907800   2.263908e+11   0.004987   \n",
       "3701    4216.8506   4251.3061  10891827200   2.195944e+11  -0.005895   \n",
       "3702    4173.9300   4174.5742  10880804600   2.170132e+11  -0.018049   \n",
       "3703    4091.2978   4148.4663  11844902100   2.134690e+11  -0.006254   \n",
       "3704    4124.7179   4134.1441  10026697200   1.994639e+11  -0.003452   \n",
       "\n",
       "      open_ret  close_ret_demean  open_ret_demean  \n",
       "0          NaN          0.012421              NaN  \n",
       "1    -0.010660          0.002464        -0.011019  \n",
       "2     0.010165          0.027971         0.009805  \n",
       "3     0.031607          0.031813         0.031247  \n",
       "4     0.034279          0.025062         0.033919  \n",
       "5     0.020920         -0.011126         0.020561  \n",
       "6    -0.018232         -0.026273        -0.018592  \n",
       "7    -0.020272          0.051918        -0.020632  \n",
       "...        ...               ...              ...  \n",
       "3697 -0.004530          0.006319        -0.004890  \n",
       "3698  0.014618         -0.002014         0.014258  \n",
       "3699 -0.006442         -0.001147        -0.006802  \n",
       "3700  0.004008          0.004650         0.003648  \n",
       "3701 -0.004702         -0.006232        -0.005062  \n",
       "3702 -0.000108         -0.018386        -0.000468  \n",
       "3703 -0.028297         -0.006591        -0.028657  \n",
       "3704  0.006438         -0.003789         0.006078  \n",
       "\n",
       "[3705 rows x 13 columns]"
      ]
     },
     "execution_count": 305,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MACD_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "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": 307,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b16185d0>"
      ]
     },
     "execution_count": 307,
     "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": 308,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b14ffb50>"
      ]
     },
     "execution_count": 308,
     "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])\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": 309,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b12cd290>"
      ]
     },
     "execution_count": 309,
     "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": [
    "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])\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": 310,
   "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",
       "      <th>open_ret</th>\n",
       "      <th>close_ret</th>\n",
       "      <th>signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>85</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>86</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",
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       "    <tr>\n",
       "      <th>87</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>88</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>89</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>90</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>91</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>92</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",
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       "      <td>-0.100336</td>\n",
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       "      <th>9972174</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-15</td>\n",
       "      <td>0.594</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.539</td>\n",
       "      <td>9.844000e+07</td>\n",
       "      <td>3.858820e+05</td>\n",
       "      <td>0.0037</td>\n",
       "      <td>0.605024</td>\n",
       "      <td>-0.019868</td>\n",
       "      <td>-0.092593</td>\n",
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       "    <tr>\n",
       "      <th>9972175</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-16</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.549</td>\n",
       "      <td>1.048800e+08</td>\n",
       "      <td>3.278910e+05</td>\n",
       "      <td>0.0032</td>\n",
       "      <td>0.602165</td>\n",
       "      <td>-0.072635</td>\n",
       "      <td>0.066790</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9972176</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-17</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
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       "      <td>0.599863</td>\n",
       "      <td>0.056466</td>\n",
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       "      <th>9972177</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
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       "      <td>1.058000e+08</td>\n",
       "      <td>3.270200e+04</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>0.597972</td>\n",
       "      <td>-0.003448</td>\n",
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       "    <tr>\n",
       "      <th>9972178</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.576</td>\n",
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       "      <td>5.280900e+04</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>0.596546</td>\n",
       "      <td>0.010381</td>\n",
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       "    <tr>\n",
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       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.054320e+08</td>\n",
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       "      <td>0.594780</td>\n",
       "      <td>-0.010274</td>\n",
       "      <td>-0.008576</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9972180</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.578</td>\n",
       "      <td>1.059840e+08</td>\n",
       "      <td>4.250300e+04</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.593467</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005190</td>\n",
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       "    <tr>\n",
       "      <th>9972181</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.579</td>\n",
       "      <td>1.063520e+08</td>\n",
       "      <td>1.823400e+04</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>0.592470</td>\n",
       "      <td>0.012111</td>\n",
       "      <td>0.003442</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9572273 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "85       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "86       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "87       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "88       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "89       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "90       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "91       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "92       000001.XSHE 2007-07-02        870.870     867.073    848.402   \n",
       "...              ...        ...            ...         ...        ...   \n",
       "9972174  900957.XSHG 2022-03-15          0.594       0.539      0.592   \n",
       "9972175  900957.XSHG 2022-03-16          0.539       0.575      0.549   \n",
       "9972176  900957.XSHG 2022-03-17          0.575       0.578      0.580   \n",
       "9972177  900957.XSHG 2022-03-18          0.578       0.580      0.578   \n",
       "9972178  900957.XSHG 2022-03-21          0.580       0.583      0.584   \n",
       "9972179  900957.XSHG 2022-03-22          0.583       0.578      0.578   \n",
       "9972180  900957.XSHG 2022-03-23          0.578       0.581      0.578   \n",
       "9972181  900957.XSHG 2022-03-24          0.581       0.583      0.585   \n",
       "\n",
       "         highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "85           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "86           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "87           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "88           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "89           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "90           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "91            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "92            881.629      840.807    4.247515e+10   8.756147e+08   \n",
       "...               ...          ...             ...            ...   \n",
       "9972174         0.592        0.539    9.844000e+07   3.858820e+05   \n",
       "9972175         0.580        0.549    1.048800e+08   3.278910e+05   \n",
       "9972176         0.589        0.575    1.054320e+08   1.566370e+05   \n",
       "9972177         0.580        0.575    1.058000e+08   3.270200e+04   \n",
       "9972178         0.584        0.576    1.063520e+08   5.280900e+04   \n",
       "9972179         0.583        0.575    1.054320e+08   8.467200e+04   \n",
       "9972180         0.585        0.578    1.059840e+08   4.250300e+04   \n",
       "9972181         0.585        0.579    1.063520e+08   1.823400e+04   \n",
       "\n",
       "         turnoverRate       EMA  open_ret  close_ret  signal  \n",
       "85             0.0840       NaN       NaN   0.197544       0  \n",
       "86             0.0440       NaN -0.016970   0.100033       0  \n",
       "87             0.0510       NaN  0.097410   0.031769       0  \n",
       "88             0.0426       NaN  0.011516  -0.005650       0  \n",
       "89             0.0489       NaN -0.120245  -0.084659       0  \n",
       "90             0.0336       NaN -0.005682  -0.064557       0  \n",
       "91             0.0316       NaN -0.053968  -0.086928       0  \n",
       "92             0.0209       NaN -0.100336  -0.004360       0  \n",
       "...               ...       ...       ...        ...     ...  \n",
       "9972174        0.0037  0.605024 -0.019868  -0.092593       0  \n",
       "9972175        0.0032  0.602165 -0.072635   0.066790       0  \n",
       "9972176        0.0015  0.599863  0.056466   0.005217       0  \n",
       "9972177        0.0003  0.597972 -0.003448   0.003460       0  \n",
       "9972178        0.0005  0.596546  0.010381   0.005172       0  \n",
       "9972179        0.0008  0.594780 -0.010274  -0.008576       0  \n",
       "9972180        0.0004  0.593467  0.000000   0.005190       0  \n",
       "9972181        0.0002  0.592470  0.012111   0.003442       0  \n",
       "\n",
       "[9572273 rows x 14 columns]"
      ]
     },
     "execution_count": 310,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_df.drop('EMA',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "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": 313,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b118de50>"
      ]
     },
     "execution_count": 313,
     "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',['MACD','MACD_signal']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "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": 315,
   "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>85</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>86</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>87</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>88</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>89</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>90</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>91</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>92</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",
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       "      <th>9972174</th>\n",
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       "      <td>0.539</td>\n",
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       "      <td>900957.XSHG</td>\n",
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       "    <tr>\n",
       "      <th>9972176</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-17</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.054320e+08</td>\n",
       "      <td>1.566370e+05</td>\n",
       "      <td>0.0015</td>\n",
       "      <td>0.056466</td>\n",
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       "      <td>-0.013375</td>\n",
       "      <td>-0.009478</td>\n",
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       "    <tr>\n",
       "      <th>9972177</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.580</td>\n",
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       "      <td>1.058000e+08</td>\n",
       "      <td>3.270200e+04</td>\n",
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       "      <td>-0.003448</td>\n",
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       "    <tr>\n",
       "      <th>9972178</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.576</td>\n",
       "      <td>1.063520e+08</td>\n",
       "      <td>5.280900e+04</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>0.010381</td>\n",
       "      <td>0.005172</td>\n",
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       "      <td>-0.012789</td>\n",
       "      <td>-0.010746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9972179</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.054320e+08</td>\n",
       "      <td>8.467200e+04</td>\n",
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       "      <td>-0.012670</td>\n",
       "      <td>-0.011131</td>\n",
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       "    <tr>\n",
       "      <th>9972180</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.578</td>\n",
       "      <td>1.059840e+08</td>\n",
       "      <td>4.250300e+04</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005190</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.012192</td>\n",
       "      <td>-0.011343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9972181</th>\n",
       "      <td>900957.XSHG</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.579</td>\n",
       "      <td>1.063520e+08</td>\n",
       "      <td>1.823400e+04</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>0.012111</td>\n",
       "      <td>0.003442</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.011519</td>\n",
       "      <td>-0.011378</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9572273 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               secID  tradeDate  preClosePrice  closePrice  openPrice  \\\n",
       "85       000001.XSHE 2007-06-20        824.193     987.007   1044.285   \n",
       "86       000001.XSHE 2007-06-21        987.007    1085.740   1026.564   \n",
       "87       000001.XSHE 2007-06-22       1085.740    1120.233   1126.562   \n",
       "88       000001.XSHE 2007-06-25       1120.233    1113.904   1139.536   \n",
       "89       000001.XSHE 2007-06-27       1113.904    1019.602   1002.513   \n",
       "90       000001.XSHE 2007-06-28       1019.602     953.780    996.817   \n",
       "91       000001.XSHE 2007-06-29        953.780     870.870    943.021   \n",
       "92       000001.XSHE 2007-07-02        870.870     867.073    848.402   \n",
       "...              ...        ...            ...         ...        ...   \n",
       "9972174  900957.XSHG 2022-03-15          0.594       0.539      0.592   \n",
       "9972175  900957.XSHG 2022-03-16          0.539       0.575      0.549   \n",
       "9972176  900957.XSHG 2022-03-17          0.575       0.578      0.580   \n",
       "9972177  900957.XSHG 2022-03-18          0.578       0.580      0.578   \n",
       "9972178  900957.XSHG 2022-03-21          0.580       0.583      0.584   \n",
       "9972179  900957.XSHG 2022-03-22          0.583       0.578      0.578   \n",
       "9972180  900957.XSHG 2022-03-23          0.578       0.581      0.578   \n",
       "9972181  900957.XSHG 2022-03-24          0.581       0.583      0.585   \n",
       "\n",
       "         highestPrice  lowestPrice  negMarketValue  turnoverValue  \\\n",
       "85           1053.778      970.235    4.835036e+10   4.182345e+09   \n",
       "86           1085.740      988.906    5.318694e+10   2.285485e+09   \n",
       "87           1132.891     1069.601    5.487665e+10   2.761567e+09   \n",
       "88           1157.574     1087.005    5.456661e+10   2.324186e+09   \n",
       "89           1069.284     1002.513    4.994705e+10   2.446556e+09   \n",
       "90           1024.348      950.299    4.672266e+10   1.617434e+09   \n",
       "91            948.717      861.377    4.266117e+10   1.410758e+09   \n",
       "92            881.629      840.807    4.247515e+10   8.756147e+08   \n",
       "...               ...          ...             ...            ...   \n",
       "9972174         0.592        0.539    9.844000e+07   3.858820e+05   \n",
       "9972175         0.580        0.549    1.048800e+08   3.278910e+05   \n",
       "9972176         0.589        0.575    1.054320e+08   1.566370e+05   \n",
       "9972177         0.580        0.575    1.058000e+08   3.270200e+04   \n",
       "9972178         0.584        0.576    1.063520e+08   5.280900e+04   \n",
       "9972179         0.583        0.575    1.054320e+08   8.467200e+04   \n",
       "9972180         0.585        0.578    1.059840e+08   4.250300e+04   \n",
       "9972181         0.585        0.579    1.063520e+08   1.823400e+04   \n",
       "\n",
       "         turnoverRate  open_ret  close_ret  signal      MACD  MACD_signal  \n",
       "85             0.0840       NaN   0.197544       0       NaN          NaN  \n",
       "86             0.0440 -0.016970   0.100033       0       NaN          NaN  \n",
       "87             0.0510  0.097410   0.031769       0       NaN          NaN  \n",
       "88             0.0426  0.011516  -0.005650       0       NaN          NaN  \n",
       "89             0.0489 -0.120245  -0.084659       0       NaN          NaN  \n",
       "90             0.0336 -0.005682  -0.064557       0       NaN          NaN  \n",
       "91             0.0316 -0.053968  -0.086928       0       NaN          NaN  \n",
       "92             0.0209 -0.100336  -0.004360       0       NaN          NaN  \n",
       "...               ...       ...        ...     ...       ...          ...  \n",
       "9972174        0.0037 -0.019868  -0.092593       0 -0.012289    -0.007350  \n",
       "9972175        0.0032 -0.072635   0.066790       0 -0.013116    -0.008503  \n",
       "9972176        0.0015  0.056466   0.005217       0 -0.013375    -0.009478  \n",
       "9972177        0.0003 -0.003448   0.003460       0 -0.013265    -0.010235  \n",
       "9972178        0.0005  0.010381   0.005172       0 -0.012789    -0.010746  \n",
       "9972179        0.0008 -0.010274  -0.008576       0 -0.012670    -0.011131  \n",
       "9972180        0.0004  0.000000   0.005190       0 -0.012192    -0.011343  \n",
       "9972181        0.0002  0.012111   0.003442       0 -0.011519    -0.011378  \n",
       "\n",
       "[9572273 rows x 15 columns]"
      ]
     },
     "execution_count": 315,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 50.4 s, sys: 7.66 s, total: 58.1 s\n",
      "Wall time: 58 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "rule_ret_df = stk_df.groupby('secID').apply(rule_return)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_df.drop('level_1',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "               secID  position_open_ret_demean  open_cumret\n",
       "0        000001.XSHE                       NaN          NaN\n",
       "1        000001.XSHE                       NaN          NaN\n",
       "2        000001.XSHE                       0.0     1.000000\n",
       "3        000001.XSHE                       0.0     1.000000\n",
       "4        000001.XSHE                      -0.0     1.000000\n",
       "5        000001.XSHE                      -0.0     1.000000\n",
       "6        000001.XSHE                      -0.0     1.000000\n",
       "7        000001.XSHE                      -0.0     1.000000\n",
       "...              ...                       ...          ...\n",
       "9572265  900957.XSHG                      -0.0     5.913241\n",
       "9572266  900957.XSHG                      -0.0     5.913241\n",
       "9572267  900957.XSHG                       0.0     5.913241\n",
       "9572268  900957.XSHG                      -0.0     5.913241\n",
       "9572269  900957.XSHG                       0.0     5.913241\n",
       "9572270  900957.XSHG                      -0.0     5.913241\n",
       "9572271  900957.XSHG                      -0.0     5.913241\n",
       "9572272  900957.XSHG                       0.0     5.913241\n",
       "\n",
       "[9572273 rows x 3 columns]"
      ]
     },
     "execution_count": 322,
     "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": 323,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_cumret_by_crs = rule_ret_df.groupby('secID')['open_cumret'].last()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000001.XSHE     0.997932\n",
       "000002.XSHE     2.032307\n",
       "000004.XSHE     5.603435\n",
       "000005.XSHE     2.925598\n",
       "000006.XSHE     8.728217\n",
       "000007.XSHE     3.184457\n",
       "000008.XSHE     3.766304\n",
       "000009.XSHE    13.714785\n",
       "                 ...    \n",
       "900949.XSHG     1.174942\n",
       "900950.XSHG    24.144682\n",
       "900951.XSHG     2.809044\n",
       "900952.XSHG     1.395101\n",
       "900953.XSHG     8.109407\n",
       "900955.XSHG     2.425378\n",
       "900956.XSHG     6.548926\n",
       "900957.XSHG     5.913241\n",
       "Name: open_cumret, Length: 4870, dtype: float64"
      ]
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4867.000000\n",
       "mean        2.112790\n",
       "std         2.891073\n",
       "min         0.051403\n",
       "25%         0.754067\n",
       "50%         1.155554\n",
       "75%         2.261017\n",
       "max        54.251026\n",
       "Name: open_cumret, dtype: float64"
      ]
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_cumret_by_crs.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b07fc910>"
      ]
     },
     "execution_count": 326,
     "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": 327,
   "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>1.112790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>26.855267</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_cumret\n",
       "ret_mean     1.112790\n",
       "t_values    26.855267"
      ]
     },
     "execution_count": 327,
     "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": 328,
   "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             2.1128      0.041     26.853      0.000       2.032       2.194\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": 329,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05113192304296499"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2.1128**(1/(2021-2007+1))-1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true
   },
   "source": [
    "### Cross-sectional test of mean daily return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000001.XSHE   -0.000105\n",
       "000002.XSHE    0.000002\n",
       "000004.XSHE    0.000625\n",
       "000005.XSHE    0.000507\n",
       "000006.XSHE    0.000471\n",
       "000007.XSHE    0.000582\n",
       "000008.XSHE    0.000331\n",
       "000009.XSHE    0.000639\n",
       "                 ...   \n",
       "900949.XSHG   -0.000112\n",
       "900950.XSHG    0.001013\n",
       "900951.XSHG    0.000441\n",
       "900952.XSHG    0.000118\n",
       "900953.XSHG    0.000618\n",
       "900955.XSHG    0.000397\n",
       "900956.XSHG    0.000271\n",
       "900957.XSHG    0.000384\n",
       "Name: position_open_ret_demean, Length: 4870, dtype: float64"
      ]
     },
     "execution_count": 330,
     "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": 331,
   "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": 332,
   "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>-0.000108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_values</th>\n",
       "      <td>-10.463987</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rule_daily_ret\n",
       "ret_mean       -0.000108\n",
       "t_values      -10.463987"
      ]
     },
     "execution_count": 332,
     "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": 333,
   "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": 334,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3703"
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00010363303159712488"
      ]
     },
     "execution_count": 335,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "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": 337,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b04ef610>"
      ]
     },
     "execution_count": 337,
     "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": 338,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.327"
      ]
     },
     "execution_count": 338,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(rule_ret_mean_distr > rule_ret_series.mean()).sum() / n_boostrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00010363303159712488"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(rule_ret_series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "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": 342,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.299"
      ]
     },
     "execution_count": 342,
     "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": 278,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "one_stk_id = np.random.choice(rule_ret_df['secID'].unique(),1)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "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": 280,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "rule_ret_series.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.123"
      ]
     },
     "execution_count": 287,
     "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": 288,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "stk_id_300 = np.random.choice(rule_ret_df['secID'].unique(),300,replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp = rule_ret_df.loc[rule_ret_df['secID'].isin(stk_id_300)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "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>position_open_ret_demean</th>\n",
       "      <th>open_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47301</th>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47302</th>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47303</th>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47304</th>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47305</th>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47306</th>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47307</th>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47308</th>\n",
       "      <td>000021.XSHE</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568574</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>-0.010166</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568575</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568576</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568577</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568578</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568579</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568580</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9568581</th>\n",
       "      <td>900956.XSHG</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>6.548926</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>598751 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               secID  position_open_ret_demean  open_cumret\n",
       "47301    000021.XSHE                  0.000000     1.000000\n",
       "47302    000021.XSHE                  0.000000     1.000000\n",
       "47303    000021.XSHE                  0.000000     1.000000\n",
       "47304    000021.XSHE                  0.000000     1.000000\n",
       "47305    000021.XSHE                  0.000000     1.000000\n",
       "47306    000021.XSHE                 -0.000000     1.000000\n",
       "47307    000021.XSHE                  0.000000     1.000000\n",
       "47308    000021.XSHE                  0.000000     1.000000\n",
       "...              ...                       ...          ...\n",
       "9568574  900956.XSHG                 -0.010166     6.548926\n",
       "9568575  900956.XSHG                 -0.000000     6.548926\n",
       "9568576  900956.XSHG                  0.000000     6.548926\n",
       "9568577  900956.XSHG                 -0.000000     6.548926\n",
       "9568578  900956.XSHG                  0.000000     6.548926\n",
       "9568579  900956.XSHG                  0.000000     6.548926\n",
       "9568580  900956.XSHG                  0.000000     6.548926\n",
       "9568581  900956.XSHG                 -0.000000     6.548926\n",
       "\n",
       "[598751 rows x 3 columns]"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 39.9 s, sys: 16 ms, total: 39.9 s\n",
      "Wall time: 39.9 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "stk_white_p = temp.groupby('secID')['position_open_ret_demean'].apply(white_reality_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "000021.XSHE    0.609\n",
       "000042.XSHE    0.545\n",
       "000070.XSHE    0.251\n",
       "000157.XSHE    0.603\n",
       "000515.XSHE    0.659\n",
       "000576.XSHE    0.117\n",
       "000651.XSHE    0.447\n",
       "000662.XSHE    0.202\n",
       "               ...  \n",
       "900914.XSHG    0.196\n",
       "900920.XSHG    0.316\n",
       "900923.XSHG    0.046\n",
       "900929.XSHG    0.090\n",
       "900930.XSHG    0.449\n",
       "900941.XSHG    0.328\n",
       "900942.XSHG    0.117\n",
       "900956.XSHG    0.255\n",
       "Name: position_open_ret_demean, Length: 300, dtype: float64"
      ]
     },
     "execution_count": 293,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    296.000000\n",
       "mean       0.535669\n",
       "std        0.256107\n",
       "min        0.015000\n",
       "25%        0.329500\n",
       "50%        0.530500\n",
       "75%        0.728250\n",
       "max        0.996000\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fddce6bb890>"
      ]
     },
     "execution_count": 295,
     "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": 296,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "secID\n",
       "002092.XSHE    0.088\n",
       "200054.XSHE    0.015\n",
       "300110.XSHE    0.080\n",
       "300140.XSHE    0.060\n",
       "600538.XSHG    0.087\n",
       "600827.XSHG    0.033\n",
       "688191.XSHG    0.053\n",
       "900907.XSHG    0.073\n",
       "900923.XSHG    0.046\n",
       "900929.XSHG    0.090\n",
       "Name: position_open_ret_demean, dtype: float64"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stk_white_p.loc[stk_white_p < 0.10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "good_MACD_stks = stk_white_p.loc[stk_white_p < 0.10].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9325699         NaN\n",
       "9325700         NaN\n",
       "9325701    1.000000\n",
       "9325702    1.000000\n",
       "9325703    1.000000\n",
       "9325704    1.000000\n",
       "9325705    1.000000\n",
       "9325706    1.000000\n",
       "             ...   \n",
       "9325925    1.750436\n",
       "9325926    1.750436\n",
       "9325927    1.750436\n",
       "9325928    1.750436\n",
       "9325929    1.750436\n",
       "9325930    1.750436\n",
       "9325931    1.750436\n",
       "9325932    1.750436\n",
       "Name: open_cumret, Length: 234, dtype: float64"
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_df.loc[rule_ret_df['secID']=='688191.XSHG','open_cumret']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "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>position_open_ret_demean</th>\n",
       "      <th>open_cumret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>002092.XSHE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>002092.XSHE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>002092.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>002092.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>002092.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>002092.XSHE</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>002092.XSHE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>002092.XSHE</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14551</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>13.428978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14552</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>13.428978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14553</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.428978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14554</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.428978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14555</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.428978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14556</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.428978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14557</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>-0.019607</td>\n",
       "      <td>13.180785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14558</th>\n",
       "      <td>600538.XSHG</td>\n",
       "      <td>-0.004916</td>\n",
       "      <td>13.130825</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14559 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             secID  position_open_ret_demean  open_cumret\n",
       "0      002092.XSHE                       NaN          NaN\n",
       "1      002092.XSHE                       NaN          NaN\n",
       "2      002092.XSHE                  0.000000     1.000000\n",
       "3      002092.XSHE                  0.000000     1.000000\n",
       "4      002092.XSHE                  0.000000     1.000000\n",
       "5      002092.XSHE                 -0.000000     1.000000\n",
       "6      002092.XSHE                  0.000000     1.000000\n",
       "7      002092.XSHE                 -0.000000     1.000000\n",
       "...            ...                       ...          ...\n",
       "14551  600538.XSHG                 -0.000000    13.428978\n",
       "14552  600538.XSHG                 -0.000000    13.428978\n",
       "14553  600538.XSHG                  0.000000    13.428978\n",
       "14554  600538.XSHG                  0.000000    13.428978\n",
       "14555  600538.XSHG                  0.000000    13.428978\n",
       "14556  600538.XSHG                  0.000000    13.428978\n",
       "14557  600538.XSHG                 -0.019607    13.180785\n",
       "14558  600538.XSHG                 -0.004916    13.130825\n",
       "\n",
       "[14559 rows x 3 columns]"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rule_ret_df.loc[rule_ret_df['secID'].isin(good_MACD_stks[0:5])].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "temp2 = rule_ret_df.loc[rule_ret_df['secID'].isin(good_MACD_stks)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fddced26290>"
      ]
     },
     "execution_count": 301,
     "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": [
    "pd.concat({k: g.reset_index(drop=True) for k, g in temp2.groupby('secID')['open_cumret']}, axis=1).plot(grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}