从零开始卷量化(27).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c9665e89",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T05:15:58.397047Z",
     "start_time": "2022-04-12T05:15:56.990052Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_c101f\">\n",
       "  <caption><h3>完美世界(002624.sz)-资产负债表</h3></caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_c101f_level0_col0\" class=\"col_heading level0 col0\" >key</th>\n",
       "      <th id=\"T_c101f_level0_col1\" class=\"col_heading level0 col1\" >Y2020</th>\n",
       "      <th id=\"T_c101f_level0_col2\" class=\"col_heading level0 col2\" >Y2019</th>\n",
       "      <th id=\"T_c101f_level0_col3\" class=\"col_heading level0 col3\" >Y2018</th>\n",
       "      <th id=\"T_c101f_level0_col4\" class=\"col_heading level0 col4\" >Y2017</th>\n",
       "      <th id=\"T_c101f_level0_col5\" class=\"col_heading level0 col5\" >Y2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row0_col0\" class=\"data row0 col0\" >货币资金</td>\n",
       "      <td id=\"T_c101f_row0_col1\" class=\"data row0 col1\" >29.43亿</td>\n",
       "      <td id=\"T_c101f_row0_col2\" class=\"data row0 col2\" >25.26亿</td>\n",
       "      <td id=\"T_c101f_row0_col3\" class=\"data row0 col3\" >42.29亿</td>\n",
       "      <td id=\"T_c101f_row0_col4\" class=\"data row0 col4\" >32.36亿</td>\n",
       "      <td id=\"T_c101f_row0_col5\" class=\"data row0 col5\" >20.97亿</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row1_col0\" class=\"data row1 col0\" >交易性金融资产</td>\n",
       "      <td id=\"T_c101f_row1_col1\" class=\"data row1 col1\" >17.53亿</td>\n",
       "      <td id=\"T_c101f_row1_col2\" class=\"data row1 col2\" >22.49亿</td>\n",
       "      <td id=\"T_c101f_row1_col3\" class=\"data row1 col3\" >nan</td>\n",
       "      <td id=\"T_c101f_row1_col4\" class=\"data row1 col4\" >nan</td>\n",
       "      <td id=\"T_c101f_row1_col5\" class=\"data row1 col5\" >nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row2_col0\" class=\"data row2 col0\" >其他流动资产</td>\n",
       "      <td id=\"T_c101f_row2_col1\" class=\"data row2 col1\" >3.46亿</td>\n",
       "      <td id=\"T_c101f_row2_col2\" class=\"data row2 col2\" >5.17亿</td>\n",
       "      <td id=\"T_c101f_row2_col3\" class=\"data row2 col3\" >15.38亿</td>\n",
       "      <td id=\"T_c101f_row2_col4\" class=\"data row2 col4\" >27.54亿</td>\n",
       "      <td id=\"T_c101f_row2_col5\" class=\"data row2 col5\" >60.5亿</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row3_col0\" class=\"data row3 col0\" >流动资产合计</td>\n",
       "      <td id=\"T_c101f_row3_col1\" class=\"data row3 col1\" >78.85亿</td>\n",
       "      <td id=\"T_c101f_row3_col2\" class=\"data row3 col2\" >101.32亿</td>\n",
       "      <td id=\"T_c101f_row3_col3\" class=\"data row3 col3\" >107.83亿</td>\n",
       "      <td id=\"T_c101f_row3_col4\" class=\"data row3 col4\" >102.46亿</td>\n",
       "      <td id=\"T_c101f_row3_col5\" class=\"data row3 col5\" >112.08亿</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row4_col0\" class=\"data row4 col0\" >短期借款</td>\n",
       "      <td id=\"T_c101f_row4_col1\" class=\"data row4 col1\" >7.84亿</td>\n",
       "      <td id=\"T_c101f_row4_col2\" class=\"data row4 col2\" >11.39亿</td>\n",
       "      <td id=\"T_c101f_row4_col3\" class=\"data row4 col3\" >12.7亿</td>\n",
       "      <td id=\"T_c101f_row4_col4\" class=\"data row4 col4\" >6.18亿</td>\n",
       "      <td id=\"T_c101f_row4_col5\" class=\"data row4 col5\" >4.41亿</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row5_col0\" class=\"data row5 col0\" >预收款项</td>\n",
       "      <td id=\"T_c101f_row5_col1\" class=\"data row5 col1\" >0.24亿</td>\n",
       "      <td id=\"T_c101f_row5_col2\" class=\"data row5 col2\" >6.06亿</td>\n",
       "      <td id=\"T_c101f_row5_col3\" class=\"data row5 col3\" >4.09亿</td>\n",
       "      <td id=\"T_c101f_row5_col4\" class=\"data row5 col4\" >5.29亿</td>\n",
       "      <td id=\"T_c101f_row5_col5\" class=\"data row5 col5\" >1.63亿</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row6_col0\" class=\"data row6 col0\" >流动负债合计</td>\n",
       "      <td id=\"T_c101f_row6_col1\" class=\"data row6 col1\" >42.04亿</td>\n",
       "      <td id=\"T_c101f_row6_col2\" class=\"data row6 col2\" >48.0亿</td>\n",
       "      <td id=\"T_c101f_row6_col3\" class=\"data row6 col3\" >39.21亿</td>\n",
       "      <td id=\"T_c101f_row6_col4\" class=\"data row6 col4\" >52.15亿</td>\n",
       "      <td id=\"T_c101f_row6_col5\" class=\"data row6 col5\" >42.23亿</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_c101f_row7_col0\" class=\"data row7 col0\" >负债合计</td>\n",
       "      <td id=\"T_c101f_row7_col1\" class=\"data row7 col1\" >43.25亿</td>\n",
       "      <td id=\"T_c101f_row7_col2\" class=\"data row7 col2\" >65.01亿</td>\n",
       "      <td id=\"T_c101f_row7_col3\" class=\"data row7 col3\" >66.69亿</td>\n",
       "      <td id=\"T_c101f_row7_col4\" class=\"data row7 col4\" >77.98亿</td>\n",
       "      <td id=\"T_c101f_row7_col5\" class=\"data row7 col5\" >78.45亿</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fc4641dbac0>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tushare as ts\n",
    "import pandas as pd\n",
    "from datetime import datetime \n",
    "pro = ts.pro_api()\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "balance_kv={\n",
    "    \"money_cap\":\"货币资金\",\n",
    "    \"trad_asset\":\"交易性金融资产\",\n",
    "    \"oth_cur_assets\":\"其他流动资产\",\n",
    "    \"total_cur_assets\":\"流动资产合计\",\n",
    "    \"st_borr\":\"短期借款\",\n",
    "    \"adv_receipts\":\"预收款项\",\n",
    "    \"total_cur_liab\":\"流动负债合计\",\n",
    "    \"total_liab\":\"负债合计\"\n",
    "}\n",
    "\n",
    "def getbalance_yearly(ts_code='002624.sz',priod=5):\n",
    "    df_all=pd.DataFrame()\n",
    "    for i in range(0,priod+1):\n",
    "        year=datetime.now().year-i\n",
    "        key='Y'+str(year)\n",
    "        df = pro.balancesheet(ts_code='002624.sz',fields=\",\".join(balance_kv.keys()),period=str(year)+'1231')\n",
    "        \n",
    "        if(df.empty):\n",
    "            continue\n",
    "            \n",
    "        df = df.stack()\n",
    "        df=pd.DataFrame(df[0])\n",
    "        df['v']=df[0]\n",
    "        df.columns=[\"key\",key]\n",
    "        df['key']=df.index\n",
    "        df['key']=df.apply(lambda x:balance_kv[x.key] if x.key in balance_kv else x.key ,axis = 1)\n",
    "        df[key]=df.apply(lambda x:str(round(int(x[key])/100000000,2))+\"亿\" if isinstance(x[key],float) else x[key],axis = 1)\n",
    "    \n",
    "        if df_all.empty:\n",
    "            df_all=df\n",
    "        else:\n",
    "            df_all['Y'+str(year)]=df['Y'+str(year)]\n",
    "        \n",
    "    return df_all\n",
    "\n",
    "df=getbalance_yearly(ts_code='002624.sz',priod=6)\n",
    "\n",
    "def markblod(x):\n",
    "    blod_key=[]     \n",
    "    return 'color : red;font-weight:700' if x in blod_key else ''\n",
    "\n",
    "df=df.style.applymap(markblod).set_caption('<h3>完美世界(002624.sz)-资产负债表</h3>').hide()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "10cc8f4d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T05:15:58.753922Z",
     "start_time": "2022-04-12T05:15:58.490531Z"
    }
   },
   "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>index_code</th>\n",
       "      <th>con_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603195.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>003816.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300782.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601138.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600989.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601698.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300750.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>3.7680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601916.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002938.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601319.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603259.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.1614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601236.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300896.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601865.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601066.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300759.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300760.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688111.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601990.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603486.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002916.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603392.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600025.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603659.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603087.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300677.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603882.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603260.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>001979.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300676.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603233.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601155.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300628.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601108.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300498.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300595.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300601.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603501.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002841.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603833.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603517.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601881.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300408.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300413.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300558.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300450.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603019.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603658.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002812.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.6230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603939.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603338.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601966.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603799.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300433.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002821.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603160.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603986.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601985.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300529.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002791.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601021.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603369.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603899.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.4874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601808.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601939.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002179.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601169.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603806.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002714.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002709.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601238.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603288.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>603993.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300347.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300316.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601231.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601360.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002157.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601800.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601225.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601100.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300274.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601669.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002602.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002607.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002600.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002601.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002594.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.1107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002568.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601216.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002555.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601799.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601933.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601211.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002736.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000166.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300144.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600919.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600926.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300142.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600958.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002493.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300122.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601818.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002475.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.8019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601336.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601377.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300124.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002460.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002466.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601012.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.6324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002459.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002415.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.9988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002414.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300059.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.1934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002410.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601688.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002352.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300033.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300015.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601877.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300014.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300003.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601618.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002311.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601989.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601888.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.8833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600999.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601633.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601766.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601788.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002271.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601668.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.6001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601162.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601229.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601838.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601288.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601878.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600918.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601901.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002241.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002252.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002236.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002230.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601186.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601898.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601899.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.8570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601601.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002202.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601390.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601857.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002304.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601088.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002371.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601009.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002142.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601919.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601600.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601328.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601998.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000338.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002129.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601318.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>2.7539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601166.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.6159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002120.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601628.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601398.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.8717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600018.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002064.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601111.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601006.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600048.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.6791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601988.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002050.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002049.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002044.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601868.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601728.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688981.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601995.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688561.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>605499.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600905.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300888.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002032.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002027.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601816.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002024.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002008.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002007.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600143.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002001.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300999.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601658.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688396.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600438.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.6075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688599.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300866.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000100.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688126.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688009.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688363.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688169.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600900.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.3119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688008.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688036.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>688012.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600406.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600015.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600547.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600489.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600352.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600029.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600031.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600436.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600584.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600570.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601696.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600030.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.0743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600050.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600426.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600893.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600887.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.9927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600886.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600872.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601607.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600848.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600845.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600837.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.5173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600809.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.6559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600795.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600763.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600760.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600745.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600741.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600690.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600660.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600655.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600606.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600600.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600588.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600585.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600519.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>5.8052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600383.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600362.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600346.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600332.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600309.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600276.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.8550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600196.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600183.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600176.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600161.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600150.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600132.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600115.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600111.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600109.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600104.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600085.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600079.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600061.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600036.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>3.0270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600028.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600019.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600016.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600011.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600010.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600009.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600000.SH</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.4920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000977.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000963.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000938.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000895.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000876.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000858.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>1.6114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000800.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000786.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000783.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000776.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000768.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000725.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.6715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000708.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000703.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.0973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000661.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.8112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000625.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000596.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000568.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000538.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.2149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000425.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000301.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000157.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000069.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000066.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.1157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000063.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.3949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000002.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20220401</td>\n",
       "      <td>0.7935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2403</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601077.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2415</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002945.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2416</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002939.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2456</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002739.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2462</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002773.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2473</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601555.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2485</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002558.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2493</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600521.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600522.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.2226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2512</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600705.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2513</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600703.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.4574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2527</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600299.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2529</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600233.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2536</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600118.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2557</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000860.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2565</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002508.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2567</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>300136.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2578</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002456.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2583</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002384.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2588</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000728.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2593</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>000656.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2604</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601727.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.1241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2614</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002673.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2640</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002463.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2644</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>601872.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2650</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>002153.SZ</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2660</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600482.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2670</th>\n",
       "      <td>000300.SH</td>\n",
       "      <td>600340.SH</td>\n",
       "      <td>20211201</td>\n",
       "      <td>0.0330</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index_code   con_code trade_date  weight\n",
       "0     000300.SH  603195.SH   20220401  0.0529\n",
       "1     000300.SH  003816.SZ   20220401  0.1679\n",
       "2     000300.SH  300782.SZ   20220401  0.2574\n",
       "3     000300.SH  601138.SH   20220401  0.2100\n",
       "4     000300.SH  600989.SH   20220401  0.1719\n",
       "5     000300.SH  601698.SH   20220401  0.0263\n",
       "6     000300.SH  300750.SZ   20220401  3.7680\n",
       "7     000300.SH  601916.SH   20220401  0.1475\n",
       "8     000300.SH  002938.SZ   20220401  0.1036\n",
       "9     000300.SH  601319.SH   20220401  0.0684\n",
       "10    000300.SH  603259.SH   20220401  1.1614\n",
       "11    000300.SH  601236.SH   20220401  0.0512\n",
       "12    000300.SH  300896.SZ   20220401  0.2206\n",
       "13    000300.SH  601865.SH   20220401  0.1194\n",
       "14    000300.SH  601066.SH   20220401  0.1585\n",
       "15    000300.SH  300759.SZ   20220401  0.1610\n",
       "16    000300.SH  300760.SZ   20220401  0.7725\n",
       "17    000300.SH  688111.SH   20220401  0.1771\n",
       "18    000300.SH  601990.SH   20220401  0.0954\n",
       "19    000300.SH  603486.SH   20220401  0.1296\n",
       "20    000300.SH  002916.SZ   20220401  0.0928\n",
       "21    000300.SH  603392.SH   20220401  0.1746\n",
       "22    000300.SH  600025.SH   20220401  0.0548\n",
       "23    000300.SH  603659.SH   20220401  0.2571\n",
       "24    000300.SH  603087.SH   20220401  0.0453\n",
       "25    000300.SH  300677.SZ   20220401  0.0918\n",
       "26    000300.SH  603882.SH   20220401  0.1057\n",
       "27    000300.SH  603260.SH   20220401  0.0862\n",
       "28    000300.SH  001979.SZ   20220401  0.2549\n",
       "29    000300.SH  300676.SZ   20220401  0.1043\n",
       "30    000300.SH  603233.SH   20220401  0.0492\n",
       "31    000300.SH  601155.SH   20220401  0.1569\n",
       "32    000300.SH  300628.SZ   20220401  0.1454\n",
       "33    000300.SH  601108.SH   20220401  0.1106\n",
       "34    000300.SH  300498.SZ   20220401  0.5107\n",
       "35    000300.SH  300595.SZ   20220401  0.0967\n",
       "36    000300.SH  300601.SZ   20220401  0.1908\n",
       "37    000300.SH  603501.SH   20220401  0.5257\n",
       "38    000300.SH  002841.SZ   20220401  0.1128\n",
       "39    000300.SH  603833.SH   20220401  0.1126\n",
       "40    000300.SH  603517.SH   20220401  0.0821\n",
       "41    000300.SH  601881.SH   20220401  0.0681\n",
       "42    000300.SH  300408.SZ   20220401  0.1686\n",
       "43    000300.SH  300413.SZ   20220401  0.1239\n",
       "44    000300.SH  300558.SZ   20220401  0.0711\n",
       "45    000300.SH  300450.SZ   20220401  0.3232\n",
       "46    000300.SH  603019.SH   20220401  0.1812\n",
       "47    000300.SH  603658.SH   20220401  0.0588\n",
       "48    000300.SH  002812.SZ   20220401  0.6230\n",
       "49    000300.SH  603939.SH   20220401  0.0735\n",
       "50    000300.SH  603338.SH   20220401  0.0569\n",
       "51    000300.SH  601966.SH   20220401  0.0781\n",
       "52    000300.SH  603799.SH   20220401  0.4952\n",
       "53    000300.SH  300433.SZ   20220401  0.1202\n",
       "54    000300.SH  002821.SZ   20220401  0.2744\n",
       "55    000300.SH  603160.SH   20220401  0.0838\n",
       "56    000300.SH  603986.SH   20220401  0.3892\n",
       "57    000300.SH  601985.SH   20220401  0.3910\n",
       "58    000300.SH  300529.SZ   20220401  0.1139\n",
       "59    000300.SH  002791.SZ   20220401  0.0707\n",
       "60    000300.SH  601021.SH   20220401  0.0874\n",
       "61    000300.SH  603369.SH   20220401  0.1401\n",
       "62    000300.SH  603899.SH   20220401  0.0946\n",
       "63    000300.SH  000333.SZ   20220401  1.4874\n",
       "64    000300.SH  601808.SH   20220401  0.0417\n",
       "65    000300.SH  601939.SH   20220401  0.2197\n",
       "66    000300.SH  002179.SZ   20220401  0.2320\n",
       "67    000300.SH  601169.SH   20220401  0.3550\n",
       "68    000300.SH  603806.SH   20220401  0.2271\n",
       "69    000300.SH  002714.SZ   20220401  0.7845\n",
       "70    000300.SH  002709.SZ   20220401  0.2858\n",
       "71    000300.SH  601238.SH   20220401  0.1272\n",
       "72    000300.SH  603288.SH   20220401  0.5801\n",
       "73    000300.SH  603993.SH   20220401  0.1937\n",
       "74    000300.SH  300347.SZ   20220401  0.2843\n",
       "75    000300.SH  300316.SZ   20220401  0.1968\n",
       "76    000300.SH  601231.SH   20220401  0.0421\n",
       "77    000300.SH  601360.SH   20220401  0.1484\n",
       "78    000300.SH  002157.SZ   20220401  0.0630\n",
       "79    000300.SH  601800.SH   20220401  0.1674\n",
       "80    000300.SH  601225.SH   20220401  0.3314\n",
       "81    000300.SH  601100.SH   20220401  0.1405\n",
       "82    000300.SH  300274.SZ   20220401  0.5697\n",
       "83    000300.SH  601669.SH   20220401  0.2868\n",
       "84    000300.SH  002624.SZ   20220401  0.0806\n",
       "85    000300.SH  002602.SZ   20220401  0.1511\n",
       "86    000300.SH  002607.SZ   20220401  0.0550\n",
       "87    000300.SH  002600.SZ   20220401  0.0746\n",
       "88    000300.SH  002601.SZ   20220401  0.1445\n",
       "89    000300.SH  002594.SZ   20220401  1.1107\n",
       "90    000300.SH  002568.SZ   20220401  0.0709\n",
       "91    000300.SH  601216.SH   20220401  0.0806\n",
       "92    000300.SH  002555.SZ   20220401  0.1700\n",
       "93    000300.SH  601799.SH   20220401  0.0956\n",
       "94    000300.SH  601933.SH   20220401  0.0790\n",
       "95    000300.SH  601211.SH   20220401  0.3723\n",
       "96    000300.SH  002736.SZ   20220401  0.1506\n",
       "97    000300.SH  000166.SZ   20220401  0.2598\n",
       "98    000300.SH  300144.SZ   20220401  0.1117\n",
       "99    000300.SH  600919.SH   20220401  0.4491\n",
       "100   000300.SH  600926.SH   20220401  0.2294\n",
       "101   000300.SH  300142.SZ   20220401  0.4379\n",
       "102   000300.SH  600958.SH   20220401  0.2412\n",
       "103   000300.SH  002493.SZ   20220401  0.2265\n",
       "104   000300.SH  300122.SZ   20220401  0.5565\n",
       "105   000300.SH  601818.SH   20220401  0.2869\n",
       "106   000300.SH  002475.SZ   20220401  0.8019\n",
       "107   000300.SH  601336.SH   20220401  0.1547\n",
       "108   000300.SH  601377.SH   20220401  0.2173\n",
       "109   000300.SH  300124.SZ   20220401  0.5416\n",
       "110   000300.SH  002460.SZ   20220401  0.5369\n",
       "111   000300.SH  002466.SZ   20220401  0.4427\n",
       "112   000300.SH  601012.SH   20220401  1.6324\n",
       "113   000300.SH  002459.SZ   20220401  0.2648\n",
       "114   000300.SH  002415.SZ   20220401  0.9988\n",
       "115   000300.SH  002414.SZ   20220401  0.0832\n",
       "116   000300.SH  300059.SZ   20220401  1.1934\n",
       "117   000300.SH  002410.SZ   20220401  0.2609\n",
       "118   000300.SH  601688.SH   20220401  0.4019\n",
       "119   000300.SH  002352.SZ   20220401  0.4993\n",
       "120   000300.SH  300033.SZ   20220401  0.1082\n",
       "121   000300.SH  300015.SZ   20220401  0.4504\n",
       "122   000300.SH  601877.SH   20220401  0.2198\n",
       "123   000300.SH  300014.SZ   20220401  0.4794\n",
       "124   000300.SH  300003.SZ   20220401  0.1314\n",
       "125   000300.SH  601618.SH   20220401  0.1383\n",
       "126   000300.SH  002311.SZ   20220401  0.2340\n",
       "127   000300.SH  601989.SH   20220401  0.2273\n",
       "128   000300.SH  601888.SH   20220401  0.8833\n",
       "129   000300.SH  600999.SH   20220401  0.2833\n",
       "130   000300.SH  601633.SH   20220401  0.1769\n",
       "131   000300.SH  601766.SH   20220401  0.3411\n",
       "132   000300.SH  601788.SH   20220401  0.1298\n",
       "133   000300.SH  002271.SZ   20220401  0.4117\n",
       "134   000300.SH  601668.SH   20220401  0.6001\n",
       "135   000300.SH  601162.SH   20220401  0.0794\n",
       "136   000300.SH  601229.SH   20220401  0.3480\n",
       "137   000300.SH  601838.SH   20220401  0.1754\n",
       "138   000300.SH  601288.SH   20220401  0.5616\n",
       "139   000300.SH  601878.SH   20220401  0.0858\n",
       "140   000300.SH  600918.SH   20220401  0.1185\n",
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       "142   000300.SH  002241.SZ   20220401  0.4348\n",
       "143   000300.SH  002252.SZ   20220401  0.1252\n",
       "144   000300.SH  002236.SZ   20220401  0.1541\n",
       "145   000300.SH  002230.SZ   20220401  0.4432\n",
       "146   000300.SH  601186.SH   20220401  0.1844\n",
       "147   000300.SH  601898.SH   20220401  0.0768\n",
       "148   000300.SH  601899.SH   20220401  0.8570\n",
       "149   000300.SH  601601.SH   20220401  0.4123\n",
       "150   000300.SH  002202.SZ   20220401  0.1890\n",
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       "152   000300.SH  601857.SH   20220401  0.2759\n",
       "153   000300.SH  002304.SZ   20220401  0.4316\n",
       "154   000300.SH  601088.SH   20220401  0.5057\n",
       "155   000300.SH  002371.SZ   20220401  0.3758\n",
       "156   000300.SH  601009.SH   20220401  0.2853\n",
       "157   000300.SH  002142.SZ   20220401  0.7927\n",
       "158   000300.SH  601919.SH   20220401  0.5603\n",
       "159   000300.SH  601600.SH   20220401  0.2367\n",
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       "164   000300.SH  601318.SH   20220401  2.7539\n",
       "165   000300.SH  601166.SH   20220401  1.6159\n",
       "166   000300.SH  002120.SZ   20220401  0.1057\n",
       "167   000300.SH  601628.SH   20220401  0.2345\n",
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       "169   000300.SH  600018.SH   20220401  0.1091\n",
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       "174   000300.SH  601988.SH   20220401  0.3600\n",
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       "176   000300.SH  002049.SZ   20220401  0.4542\n",
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       "178   000300.SH  601868.SH   20220401  0.1664\n",
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       "180   000300.SH  688981.SH   20220401  0.4601\n",
       "181   000300.SH  601995.SH   20220401  0.0705\n",
       "182   000300.SH  688561.SH   20220401  0.0824\n",
       "183   000300.SH  605499.SH   20220401  0.0311\n",
       "184   000300.SH  600905.SH   20220401  0.2733\n",
       "185   000300.SH  300888.SZ   20220401  0.0269\n",
       "186   000300.SH  002032.SZ   20220401  0.0448\n",
       "187   000300.SH  002027.SZ   20220401  0.3265\n",
       "188   000300.SH  601816.SH   20220401  0.5008\n",
       "189   000300.SH  002024.SZ   20220401  0.0673\n",
       "190   000300.SH  002008.SZ   20220401  0.1713\n",
       "191   000300.SH  002007.SZ   20220401  0.1149\n",
       "192   000300.SH  600143.SH   20220401  0.0915\n",
       "193   000300.SH  002001.SZ   20220401  0.2655\n",
       "194   000300.SH  300999.SZ   20220401  0.1128\n",
       "195   000300.SH  601658.SH   20220401  0.3186\n",
       "196   000300.SH  688396.SH   20220401  0.0756\n",
       "197   000300.SH  600438.SH   20220401  0.6075\n",
       "198   000300.SH  688599.SH   20220401  0.2573\n",
       "199   000300.SH  300866.SZ   20220401  0.0566\n",
       "200   000300.SH  000100.SZ   20220401  0.3562\n",
       "201   000300.SH  688126.SH   20220401  0.0946\n",
       "202   000300.SH  688009.SH   20220401  0.0602\n",
       "203   000300.SH  688363.SH   20220401  0.0599\n",
       "204   000300.SH  688169.SH   20220401  0.0786\n",
       "205   000300.SH  600900.SH   20220401  1.3119\n",
       "206   000300.SH  688008.SH   20220401  0.1531\n",
       "207   000300.SH  688036.SH   20220401  0.1199\n",
       "208   000300.SH  688012.SH   20220401  0.1500\n",
       "209   000300.SH  600406.SH   20220401  0.4436\n",
       "210   000300.SH  600015.SH   20220401  0.1802\n",
       "211   000300.SH  600547.SH   20220401  0.2025\n",
       "212   000300.SH  600489.SH   20220401  0.1196\n",
       "213   000300.SH  600352.SH   20220401  0.1476\n",
       "214   000300.SH  600029.SH   20220401  0.1708\n",
       "215   000300.SH  600031.SH   20220401  0.5417\n",
       "216   000300.SH  600436.SH   20220401  0.4959\n",
       "217   000300.SH  600584.SH   20220401  0.1585\n",
       "218   000300.SH  600570.SH   20220401  0.2612\n",
       "219   000300.SH  601696.SH   20220401  0.1007\n",
       "220   000300.SH  600030.SH   20220401  1.0743\n",
       "221   000300.SH  600050.SH   20220401  0.3457\n",
       "222   000300.SH  600426.SH   20220401  0.2542\n",
       "223   000300.SH  600893.SH   20220401  0.3069\n",
       "224   000300.SH  600887.SH   20220401  0.9927\n",
       "225   000300.SH  600886.SH   20220401  0.1452\n",
       "226   000300.SH  600872.SH   20220401  0.0818\n",
       "227   000300.SH  601607.SH   20220401  0.1440\n",
       "228   000300.SH  600848.SH   20220401  0.0708\n",
       "229   000300.SH  600845.SH   20220401  0.0871\n",
       "230   000300.SH  600837.SH   20220401  0.5173\n",
       "231   000300.SH  600809.SH   20220401  0.6559\n",
       "232   000300.SH  600795.SH   20220401  0.1185\n",
       "233   000300.SH  600763.SH   20220401  0.1678\n",
       "234   000300.SH  600760.SH   20220401  0.1725\n",
       "235   000300.SH  600745.SH   20220401  0.3155\n",
       "236   000300.SH  600741.SH   20220401  0.1675\n",
       "237   000300.SH  600690.SH   20220401  0.4668\n",
       "238   000300.SH  600660.SH   20220401  0.2571\n",
       "239   000300.SH  600655.SH   20220401  0.0829\n",
       "240   000300.SH  600606.SH   20220401  0.1119\n",
       "241   000300.SH  600600.SH   20220401  0.1505\n",
       "242   000300.SH  600588.SH   20220401  0.2038\n",
       "243   000300.SH  600585.SH   20220401  0.4947\n",
       "244   000300.SH  600519.SH   20220401  5.8052\n",
       "245   000300.SH  600383.SH   20220401  0.1723\n",
       "246   000300.SH  600362.SH   20220401  0.1045\n",
       "247   000300.SH  600346.SH   20220401  0.2312\n",
       "248   000300.SH  600332.SH   20220401  0.1133\n",
       "249   000300.SH  600309.SH   20220401  0.7013\n",
       "250   000300.SH  600276.SH   20220401  0.8550\n",
       "251   000300.SH  600196.SH   20220401  0.3456\n",
       "252   000300.SH  600183.SH   20220401  0.0966\n",
       "253   000300.SH  600176.SH   20220401  0.1894\n",
       "254   000300.SH  600161.SH   20220401  0.0863\n",
       "255   000300.SH  600150.SH   20220401  0.1619\n",
       "256   000300.SH  600132.SH   20220401  0.1409\n",
       "257   000300.SH  600115.SH   20220401  0.1360\n",
       "258   000300.SH  600111.SH   20220401  0.4371\n",
       "259   000300.SH  600109.SH   20220401  0.1219\n",
       "260   000300.SH  600104.SH   20220401  0.4137\n",
       "261   000300.SH  600085.SH   20220401  0.1633\n",
       "262   000300.SH  600079.SH   20220401  0.0821\n",
       "263   000300.SH  600061.SH   20220401  0.0956\n",
       "264   000300.SH  600036.SH   20220401  3.0270\n",
       "265   000300.SH  600028.SH   20220401  0.3036\n",
       "266   000300.SH  600019.SH   20220401  0.3177\n",
       "267   000300.SH  600016.SH   20220401  0.4975\n",
       "268   000300.SH  600011.SH   20220401  0.1606\n",
       "269   000300.SH  600010.SH   20220401  0.2651\n",
       "270   000300.SH  600009.SH   20220401  0.2536\n",
       "271   000300.SH  600000.SH   20220401  0.4920\n",
       "272   000300.SH  000977.SZ   20220401  0.1435\n",
       "273   000300.SH  000963.SZ   20220401  0.1497\n",
       "274   000300.SH  000938.SZ   20220401  0.1441\n",
       "275   000300.SH  000895.SZ   20220401  0.2628\n",
       "276   000300.SH  000876.SZ   20220401  0.2005\n",
       "277   000300.SH  000858.SZ   20220401  1.6114\n",
       "278   000300.SH  000800.SZ   20220401  0.0420\n",
       "279   000300.SH  000786.SZ   20220401  0.1643\n",
       "280   000300.SH  000783.SZ   20220401  0.1280\n",
       "281   000300.SH  000776.SZ   20220401  0.2757\n",
       "282   000300.SH  000768.SZ   20220401  0.2033\n",
       "283   000300.SH  000725.SZ   20220401  0.6715\n",
       "284   000300.SH  000708.SZ   20220401  0.1037\n",
       "285   000300.SH  000703.SZ   20220401  0.0973\n",
       "286   000300.SH  000661.SZ   20220401  0.2827\n",
       "287   000300.SH  000651.SZ   20220401  0.8112\n",
       "288   000300.SH  000625.SZ   20220401  0.2252\n",
       "289   000300.SH  000596.SZ   20220401  0.1111\n",
       "290   000300.SH  000568.SZ   20220401  0.7252\n",
       "291   000300.SH  000538.SZ   20220401  0.2149\n",
       "292   000300.SH  000425.SZ   20220401  0.1472\n",
       "293   000300.SH  000301.SZ   20220401  0.1347\n",
       "294   000300.SH  000157.SZ   20220401  0.1714\n",
       "295   000300.SH  000069.SZ   20220401  0.1652\n",
       "296   000300.SH  000066.SZ   20220401  0.1157\n",
       "297   000300.SH  000063.SZ   20220401  0.3949\n",
       "298   000300.SH  000002.SZ   20220401  0.7302\n",
       "299   000300.SH  000001.SZ   20220401  0.7935\n",
       "2403  000300.SH  601077.SH   20211201  0.1197\n",
       "2415  000300.SH  002945.SZ   20211201  0.0144\n",
       "2416  000300.SH  002939.SZ   20211201  0.0590\n",
       "2456  000300.SH  002739.SZ   20211201  0.0636\n",
       "2462  000300.SH  002773.SZ   20211201  0.0347\n",
       "2473  000300.SH  601555.SH   20211201  0.1393\n",
       "2485  000300.SH  002558.SZ   20211201  0.0619\n",
       "2493  000300.SH  600521.SH   20211201  0.0925\n",
       "2495  000300.SH  600522.SH   20211201  0.2226\n",
       "2512  000300.SH  600705.SH   20211201  0.1040\n",
       "2513  000300.SH  600703.SH   20211201  0.4574\n",
       "2527  000300.SH  600299.SH   20211201  0.0241\n",
       "2529  000300.SH  600233.SH   20211201  0.1054\n",
       "2536  000300.SH  600118.SH   20211201  0.0769\n",
       "2557  000300.SH  000860.SZ   20211201  0.0850\n",
       "2565  000300.SH  002508.SZ   20211201  0.0740\n",
       "2567  000300.SH  300136.SZ   20211201  0.1245\n",
       "2578  000300.SH  002456.SZ   20211201  0.0883\n",
       "2583  000300.SH  002384.SZ   20211201  0.1662\n",
       "2588  000300.SH  000728.SZ   20211201  0.1156\n",
       "2593  000300.SH  000656.SZ   20211201  0.0676\n",
       "2604  000300.SH  601727.SH   20211201  0.1241\n",
       "2614  000300.SH  002673.SZ   20211201  0.0711\n",
       "2640  000300.SH  002463.SZ   20211201  0.0981\n",
       "2644  000300.SH  601872.SH   20211201  0.0723\n",
       "2650  000300.SH  002153.SZ   20211201  0.0637\n",
       "2660  000300.SH  600482.SH   20211201  0.0583\n",
       "2670  000300.SH  600340.SH   20211201  0.0330"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tushare as ts\n",
    "pro = ts.pro_api()\n",
    "df = pro.index_weight(index_code='000300.SH', start_date='20150101', end_date='20220410')\n",
    "df.drop_duplicates(subset=['con_code'],keep='first',inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e7c3b49c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T12:46:02.669457Z",
     "start_time": "2022-04-12T12:46:02.347773Z"
    }
   },
   "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>trade_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19901219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19901220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19901221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19901224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19901225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7823</th>\n",
       "      <td>20221226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7824</th>\n",
       "      <td>20221227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7825</th>\n",
       "      <td>20221228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7826</th>\n",
       "      <td>20221229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7827</th>\n",
       "      <td>20221230</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7828 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     trade_date\n",
       "0      19901219\n",
       "1      19901220\n",
       "2      19901221\n",
       "3      19901224\n",
       "4      19901225\n",
       "...         ...\n",
       "7823   20221226\n",
       "7824   20221227\n",
       "7825   20221228\n",
       "7826   20221229\n",
       "7827   20221230\n",
       "\n",
       "[7828 rows x 1 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xlib.mysql import mysql\n",
    "db=\"tushare\"\n",
    "df_cal=mysql.selectToDf(\"select cal_date as trade_date from astock_trade_cal where is_open=1\",db)\n",
    "df_cal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0d90a8bf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T12:45:58.866958Z",
     "start_time": "2022-04-12T12:45:58.078767Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>ts_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>change</th>\n",
       "      <th>pct_chg</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>adj_factor</th>\n",
       "      <th>vwap</th>\n",
       "      <th>prev_close</th>\n",
       "      <th>returns</th>\n",
       "      <th>volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20111028</td>\n",
       "      <td>7.002864</td>\n",
       "      <td>8.145084</td>\n",
       "      <td>6.999682</td>\n",
       "      <td>7.979637</td>\n",
       "      <td>3.563474</td>\n",
       "      <td>4.416163</td>\n",
       "      <td>123.9300</td>\n",
       "      <td>190533.54</td>\n",
       "      <td>439425.0721</td>\n",
       "      <td>1</td>\n",
       "      <td>23.062871</td>\n",
       "      <td>1.133781</td>\n",
       "      <td>123.9300</td>\n",
       "      <td>190533.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20111031</td>\n",
       "      <td>7.632835</td>\n",
       "      <td>8.049634</td>\n",
       "      <td>7.413299</td>\n",
       "      <td>7.760102</td>\n",
       "      <td>7.979637</td>\n",
       "      <td>-0.219535</td>\n",
       "      <td>-2.7500</td>\n",
       "      <td>140907.98</td>\n",
       "      <td>341852.7653</td>\n",
       "      <td>1</td>\n",
       "      <td>24.260708</td>\n",
       "      <td>2.538860</td>\n",
       "      <td>-2.7500</td>\n",
       "      <td>140907.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20111101</td>\n",
       "      <td>7.505568</td>\n",
       "      <td>8.393255</td>\n",
       "      <td>7.461024</td>\n",
       "      <td>8.017817</td>\n",
       "      <td>7.760102</td>\n",
       "      <td>0.257716</td>\n",
       "      <td>3.3200</td>\n",
       "      <td>131812.13</td>\n",
       "      <td>328987.9499</td>\n",
       "      <td>1</td>\n",
       "      <td>24.958851</td>\n",
       "      <td>2.469011</td>\n",
       "      <td>3.3200</td>\n",
       "      <td>131812.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20111102</td>\n",
       "      <td>7.715558</td>\n",
       "      <td>8.186446</td>\n",
       "      <td>7.616927</td>\n",
       "      <td>8.164174</td>\n",
       "      <td>8.017817</td>\n",
       "      <td>0.146357</td>\n",
       "      <td>1.8300</td>\n",
       "      <td>90191.79</td>\n",
       "      <td>224479.8817</td>\n",
       "      <td>1</td>\n",
       "      <td>24.889167</td>\n",
       "      <td>2.551008</td>\n",
       "      <td>1.8300</td>\n",
       "      <td>90191.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20111103</td>\n",
       "      <td>8.272351</td>\n",
       "      <td>8.367801</td>\n",
       "      <td>7.741012</td>\n",
       "      <td>7.753738</td>\n",
       "      <td>8.164174</td>\n",
       "      <td>-0.410436</td>\n",
       "      <td>-5.0300</td>\n",
       "      <td>98454.70</td>\n",
       "      <td>246697.7593</td>\n",
       "      <td>1</td>\n",
       "      <td>25.056979</td>\n",
       "      <td>2.597574</td>\n",
       "      <td>-5.0300</td>\n",
       "      <td>98454.70</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2149</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20220406</td>\n",
       "      <td>13.300000</td>\n",
       "      <td>13.990000</td>\n",
       "      <td>13.140000</td>\n",
       "      <td>13.260000</td>\n",
       "      <td>13.330000</td>\n",
       "      <td>-0.070000</td>\n",
       "      <td>-0.5251</td>\n",
       "      <td>414287.96</td>\n",
       "      <td>554315.4000</td>\n",
       "      <td>3.143</td>\n",
       "      <td>13.379954</td>\n",
       "      <td>13.330000</td>\n",
       "      <td>-0.5251</td>\n",
       "      <td>414287.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2150</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20220407</td>\n",
       "      <td>13.140000</td>\n",
       "      <td>13.660000</td>\n",
       "      <td>12.880000</td>\n",
       "      <td>12.890000</td>\n",
       "      <td>13.260000</td>\n",
       "      <td>-0.370000</td>\n",
       "      <td>-2.7903</td>\n",
       "      <td>374608.76</td>\n",
       "      <td>495415.6580</td>\n",
       "      <td>3.143</td>\n",
       "      <td>13.224881</td>\n",
       "      <td>13.260000</td>\n",
       "      <td>-2.7903</td>\n",
       "      <td>374608.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2151</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20220408</td>\n",
       "      <td>12.890000</td>\n",
       "      <td>12.930000</td>\n",
       "      <td>12.300000</td>\n",
       "      <td>12.530000</td>\n",
       "      <td>12.890000</td>\n",
       "      <td>-0.360000</td>\n",
       "      <td>-2.7929</td>\n",
       "      <td>330175.22</td>\n",
       "      <td>413399.4460</td>\n",
       "      <td>3.143</td>\n",
       "      <td>12.520607</td>\n",
       "      <td>12.890000</td>\n",
       "      <td>-2.7929</td>\n",
       "      <td>330175.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2152</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20220411</td>\n",
       "      <td>12.390000</td>\n",
       "      <td>12.830000</td>\n",
       "      <td>12.050000</td>\n",
       "      <td>12.370000</td>\n",
       "      <td>12.530000</td>\n",
       "      <td>-0.160000</td>\n",
       "      <td>-1.2769</td>\n",
       "      <td>345547.72</td>\n",
       "      <td>426715.9960</td>\n",
       "      <td>3.143</td>\n",
       "      <td>12.348974</td>\n",
       "      <td>12.530000</td>\n",
       "      <td>-1.2769</td>\n",
       "      <td>345547.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2153</th>\n",
       "      <td>002624.SZ</td>\n",
       "      <td>20220412</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.180000</td>\n",
       "      <td>12.170000</td>\n",
       "      <td>12.390000</td>\n",
       "      <td>12.370000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.1617</td>\n",
       "      <td>701278.22</td>\n",
       "      <td>882812.6760</td>\n",
       "      <td>3.143</td>\n",
       "      <td>12.588622</td>\n",
       "      <td>12.370000</td>\n",
       "      <td>0.1617</td>\n",
       "      <td>701278.22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2154 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ts_code trade_date       open       high        low      close  \\\n",
       "0     002624.SZ   20111028   7.002864   8.145084   6.999682   7.979637   \n",
       "1     002624.SZ   20111031   7.632835   8.049634   7.413299   7.760102   \n",
       "2     002624.SZ   20111101   7.505568   8.393255   7.461024   8.017817   \n",
       "3     002624.SZ   20111102   7.715558   8.186446   7.616927   8.164174   \n",
       "4     002624.SZ   20111103   8.272351   8.367801   7.741012   7.753738   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "2149  002624.SZ   20220406  13.300000  13.990000  13.140000  13.260000   \n",
       "2150  002624.SZ   20220407  13.140000  13.660000  12.880000  12.890000   \n",
       "2151  002624.SZ   20220408  12.890000  12.930000  12.300000  12.530000   \n",
       "2152  002624.SZ   20220411  12.390000  12.830000  12.050000  12.370000   \n",
       "2153  002624.SZ   20220412  13.000000  13.180000  12.170000  12.390000   \n",
       "\n",
       "      pre_close    change   pct_chg        vol       amount adj_factor  \\\n",
       "0      3.563474  4.416163  123.9300  190533.54  439425.0721          1   \n",
       "1      7.979637 -0.219535   -2.7500  140907.98  341852.7653          1   \n",
       "2      7.760102  0.257716    3.3200  131812.13  328987.9499          1   \n",
       "3      8.017817  0.146357    1.8300   90191.79  224479.8817          1   \n",
       "4      8.164174 -0.410436   -5.0300   98454.70  246697.7593          1   \n",
       "...         ...       ...       ...        ...          ...        ...   \n",
       "2149  13.330000 -0.070000   -0.5251  414287.96  554315.4000      3.143   \n",
       "2150  13.260000 -0.370000   -2.7903  374608.76  495415.6580      3.143   \n",
       "2151  12.890000 -0.360000   -2.7929  330175.22  413399.4460      3.143   \n",
       "2152  12.530000 -0.160000   -1.2769  345547.72  426715.9960      3.143   \n",
       "2153  12.370000  0.020000    0.1617  701278.22  882812.6760      3.143   \n",
       "\n",
       "           vwap  prev_close   returns     volume  \n",
       "0     23.062871    1.133781  123.9300  190533.54  \n",
       "1     24.260708    2.538860   -2.7500  140907.98  \n",
       "2     24.958851    2.469011    3.3200  131812.13  \n",
       "3     24.889167    2.551008    1.8300   90191.79  \n",
       "4     25.056979    2.597574   -5.0300   98454.70  \n",
       "...         ...         ...       ...        ...  \n",
       "2149  13.379954   13.330000   -0.5251  414287.96  \n",
       "2150  13.224881   13.260000   -2.7903  374608.76  \n",
       "2151  12.520607   12.890000   -2.7929  330175.22  \n",
       "2152  12.348974   12.530000   -1.2769  345547.72  \n",
       "2153  12.588622   12.370000    0.1617  701278.22  \n",
       "\n",
       "[2154 rows x 16 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xlib.astock import AStock\n",
    "df_price=AStock.getStockDailyPriceByCode(ts_code='002624.sz',db='tushare')\n",
    "df_price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb645e41",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T05:15:59.744842Z",
     "start_time": "2022-04-12T05:15:59.744829Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import tushare as ts\n",
    "import pandas as pd\n",
    "from xlib.mysql import mysql\n",
    "from xlib.astock import AStock\n",
    "def fcompute(ts_code,df_cal):\n",
    "    df_price=AStock.getStockDailyPriceByCode(ts_code,db)\n",
    "    df_price=pd.merge(df_cal,df_price,on=['trade_date'],how='outer', validate=\"one_to_many\")\n",
    "    df_balance=mysql.selectToDf(\"select ann_date as trade_date,money_cap,trad_asset,oth_cur_assets,total_cur_assets,st_borr,adv_receipts,total_cur_liab,total_liab from astock_finance_balancesheet where ts_code='\"+ts_code+\"' and report_type=1 order by trade_date asc\",db)\n",
    "    df_basic=mysql.selectToDf(\"select trade_date,total_mv from astock_price_daily_basic where ts_code='\"+ts_code+\"' order by trade_date asc\",db)\n",
    "    df=pd.merge(df_price, df_balance, how='left', on='trade_date', copy=True, indicator=False)\n",
    "    df=pd.merge(df, df_basic, how='left', on='trade_date', copy=True, indicator=False)\n",
    "    df=df.fillna(method='ffill')\n",
    "    df['ts_code']=ts_code\n",
    "    df=df[df.trade_date>'20150101']\n",
    "    df=df[df.trade_date<'20220410']\n",
    "    df=df.reset_index(drop=True)\n",
    "    \n",
    "    df['f1']=(df['money_cap']+df['trad_asset'])/df['st_borr']\n",
    "    df['f2']=(df['money_cap']+df['trad_asset']-df['st_borr']-df['adv_receipts'])/df['total_mv'].astype('float')\n",
    "    df['f3']=(df['money_cap']+df['trad_asset']-df['st_borr']-df['adv_receipts'])/df['total_cur_liab']\n",
    "    \n",
    "    df=pd.DataFrame(df,columns =['trade_date','ts_code','high','low','open','close','volume','volume','amount','f1','f2','f3'])\n",
    "    df.rename(columns={'ts_code':'symbol','trade_date':'date'}, inplace = True)\n",
    "    df['label']=df['close'].shift(-10)/df['close']\n",
    "    df['date']=df['date'].map(lambda x: x[:4]+'-'+x[4:6]+'-'+x[6:8])\n",
    "    return df\n",
    "\n",
    "db=\"tushare\"\n",
    "df_cal=mysql.selectToDf(\"select cal_date as trade_date from astock_trade_cal where is_open=1\",db)\n",
    "df=fcompute(ts_code=\"002624.sz\",df_cal=df_cal)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a990cc06",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T11:45:07.603194Z",
     "start_time": "2022-04-12T11:35:58.626094Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    }
   ],
   "source": [
    "import pandas as pd\n",
    "import tushare as ts\n",
    "from xlib.mysql import mysql\n",
    "from xlib.astock import AStock\n",
    "from pandarallel import pandarallel\n",
    "\n",
    "def fcompute(ts_code,df_cal):\n",
    "    df_price=AStock.getStockDailyPriceByCode(ts_code,db)\n",
    "    df_price=pd.merge(df_cal,df_price,on=['trade_date'],how='outer', validate=\"one_to_many\")\n",
    "    df_balance=mysql.selectToDf(\"select ann_date as trade_date,money_cap,trad_asset,oth_cur_assets,total_cur_assets,st_borr,adv_receipts,total_cur_liab,total_liab from astock_finance_balancesheet where ts_code='\"+ts_code+\"' and report_type=1 order by trade_date asc\",db)\n",
    "    df_basic=mysql.selectToDf(\"select trade_date,total_mv from astock_price_daily_basic where ts_code='\"+ts_code+\"' order by trade_date asc\",db)\n",
    "    df=pd.merge(df_price, df_balance, how='left', on='trade_date', copy=True, indicator=False)\n",
    "    df=pd.merge(df, df_basic, how='left', on='trade_date', copy=True, indicator=False)\n",
    "    df=df.fillna(method='ffill')\n",
    "    df['ts_code']=ts_code\n",
    "    df['label']=df['close'].shift(-10)/df['close']\n",
    "    df=df[df.trade_date>'20150101']\n",
    "    df=df[df.trade_date<'20220410']\n",
    "    df=df.reset_index(drop=True)\n",
    "    df['f1']=(df['money_cap']+df['trad_asset'])/df['st_borr']\n",
    "    df['f2']=(df['money_cap']+df['trad_asset']-df['st_borr']-df['adv_receipts'])/df['total_mv'].astype('float')\n",
    "    df['f3']=(df['money_cap']+df['trad_asset']-df['st_borr']-df['adv_receipts'])/df['total_cur_liab']\n",
    "    \n",
    "    df=pd.DataFrame(df,columns =['trade_date','ts_code','high','low','open','close','volume','volume','amount','f1','f2','f3'])\n",
    "    df.rename(columns={'ts_code':'symbol','trade_date':'date'}, inplace = True)\n",
    "    df['label']=df['close'].shift(-10)/df['close']\n",
    "    df['date']=df['date'].map(lambda x: x[:4]+'-'+x[4:6]+'-'+x[6:8])\n",
    "    return df\n",
    "\n",
    "\n",
    "db=\"tushare\"\n",
    "df_cal=mysql.selectToDf(\"select cal_date as trade_date from astock_trade_cal where is_open=1\",db)\n",
    "\n",
    "\n",
    "pro = ts.pro_api()\n",
    "df_code = pro.index_weight(index_code='000300.SH', start_date='20150101', end_date='20220410')\n",
    "df_code.drop_duplicates(subset=['con_code'],keep='first',inplace=True)\n",
    " \n",
    "df_all=[]\n",
    "df_code=df_code['con_code'].to_list()\n",
    "\n",
    "for ts_code in df_code:\n",
    "    df=fcompute(ts_code,df_cal)\n",
    "    df_all.append(df)\n",
    "    print(ts_code)\n",
    "df_all=pd.concat(df_all)\n",
    "df_all.to_csv(\"./xlib/cache/fin.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6f45713d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T11:53:04.252981Z",
     "start_time": "2022-04-12T11:51:22.655566Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting training...\n",
      "[1]\tvalid_0's l2: 0.168679\n",
      "Training until validation scores don't improve for 5 rounds\n",
      "[2]\tvalid_0's l2: 0.117863\n",
      "[3]\tvalid_0's l2: 0.0851618\n",
      "[4]\tvalid_0's l2: 0.0816545\n",
      "[5]\tvalid_0's l2: 0.0614321\n",
      "[6]\tvalid_0's l2: 0.0482335\n",
      "[7]\tvalid_0's l2: 0.0473966\n",
      "[8]\tvalid_0's l2: 0.0469381\n",
      "[9]\tvalid_0's l2: 0.046707\n",
      "[10]\tvalid_0's l2: 0.046593\n",
      "[11]\tvalid_0's l2: 0.0385221\n",
      "[12]\tvalid_0's l2: 0.0332378\n",
      "[13]\tvalid_0's l2: 0.0297336\n",
      "[14]\tvalid_0's l2: 0.0274077\n",
      "[15]\tvalid_0's l2: 0.0258103\n",
      "[16]\tvalid_0's l2: 0.0247703\n",
      "[17]\tvalid_0's l2: 0.0240541\n",
      "[18]\tvalid_0's l2: 0.0240462\n",
      "[19]\tvalid_0's l2: 0.0240407\n",
      "[20]\tvalid_0's l2: 0.0235649\n",
      "[21]\tvalid_0's l2: 0.0232376\n",
      "[22]\tvalid_0's l2: 0.0232361\n",
      "[23]\tvalid_0's l2: 0.0230108\n",
      "[24]\tvalid_0's l2: 0.0230108\n",
      "[25]\tvalid_0's l2: 0.0228937\n",
      "[26]\tvalid_0's l2: 0.0228921\n",
      "[27]\tvalid_0's l2: 0.0227812\n",
      "[28]\tvalid_0's l2: 0.0226638\n",
      "[29]\tvalid_0's l2: 0.0226638\n",
      "[30]\tvalid_0's l2: 0.0226638\n",
      "[31]\tvalid_0's l2: 0.0226638\n",
      "[32]\tvalid_0's l2: 0.0226168\n",
      "[33]\tvalid_0's l2: 0.0225493\n",
      "[34]\tvalid_0's l2: 0.0225486\n",
      "[35]\tvalid_0's l2: 0.0224936\n",
      "[36]\tvalid_0's l2: 0.0224864\n",
      "[37]\tvalid_0's l2: 0.0224756\n",
      "[38]\tvalid_0's l2: 0.0224599\n",
      "[39]\tvalid_0's l2: 0.0224628\n",
      "[40]\tvalid_0's l2: 0.0224628\n",
      "[41]\tvalid_0's l2: 0.0224667\n",
      "[42]\tvalid_0's l2: 0.0224712\n",
      "[43]\tvalid_0's l2: 0.0224712\n",
      "Early stopping, best iteration is:\n",
      "[38]\tvalid_0's l2: 0.0224599\n",
      "Saving model...\n",
      "loading datas...\n",
      "runing backtest...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<h4>Performance Metrics</h4>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                           Strategy    Benchmark\n",
      "-------------------------  ----------  -----------\n",
      "Start Period               2018-01-02  2018-01-02\n",
      "End Period                 2022-04-08  2022-04-08\n",
      "Risk-Free Rate             0.0%        0.0%\n",
      "Time in Market             100.0%      100.0%\n",
      "\n",
      "Cumulative Return          74.58%      -2.82%\n",
      "CAGR﹪                     13.95%      -0.67%\n",
      "\n",
      "Sharpe                     0.65        0.07\n",
      "Smart Sharpe               0.64        0.07\n",
      "Sortino                    0.99        0.11\n",
      "Smart Sortino              0.97        0.1\n",
      "Sortino/√2                 0.7         0.07\n",
      "Smart Sortino/√2           0.69        0.07\n",
      "Omega                      1.13        1.13\n",
      "\n",
      "Max Drawdown               -26.41%     -48.95%\n",
      "Longest DD Days            637         1190\n",
      "Volatility (ann.)          25.78%      20.98%\n",
      "R^2                        0.47        0.47\n",
      "Calmar                     0.53        -0.01\n",
      "Skew                       0.3         0.51\n",
      "Kurtosis                   4.38        3.38\n",
      "\n",
      "Expected Daily %           0.05%       -0.0%\n",
      "Expected Monthly %         1.08%       -0.06%\n",
      "Expected Yearly %          11.79%      -0.57%\n",
      "Kelly Criterion            1.26%       7.09%\n",
      "Risk of Ruin               0.0%        0.0%\n",
      "Daily Value-at-Risk        -2.6%       -2.17%\n",
      "Expected Shortfall (cVaR)  -2.6%       -2.17%\n",
      "\n",
      "Gain/Pain Ratio            0.13        0.01\n",
      "Gain/Pain (1M)             0.63        0.06\n",
      "\n",
      "Payoff Ratio               0.98        1.23\n",
      "Profit Factor              1.13        1.01\n",
      "Common Sense Ratio         1.29        1.03\n",
      "CPC Index                  0.56        0.61\n",
      "Tail Ratio                 1.15        1.02\n",
      "Outlier Win Ratio          3.75        4.45\n",
      "Outlier Loss Ratio         3.34        3.91\n",
      "\n",
      "MTD                        1.13%       -0.19%\n",
      "3M                         -17.88%     15.06%\n",
      "6M                         -10.95%     15.02%\n",
      "YTD                        -17.54%     16.77%\n",
      "1Y                         -1.16%      20.63%\n",
      "3Y (ann.)                  4.85%       -1.39%\n",
      "5Y (ann.)                  13.95%      -0.67%\n",
      "10Y (ann.)                 13.95%      -0.67%\n",
      "All-time (ann.)            13.95%      -0.67%\n",
      "\n",
      "Best Day                   8.75%       8.56%\n",
      "Worst Day                  -9.92%      -5.61%\n",
      "Best Month                 26.67%      9.04%\n",
      "Worst Month                -11.65%     -12.75%\n",
      "Best Year                  55.55%      36.56%\n",
      "Worst Year                 -17.54%     -26.51%\n",
      "\n",
      "Avg. Drawdown              -5.46%      -5.91%\n",
      "Avg. Drawdown Days         55          84\n",
      "Recovery Factor            2.82        -0.06\n",
      "Ulcer Index                0.13        0.29\n",
      "Serenity Index             0.44        -0.0\n",
      "\n",
      "Avg. Up Month              4.68%       3.79%\n",
      "Avg. Down Month            -3.23%      -2.85%\n",
      "Win Days %                 51.06%      48.69%\n",
      "Win Month %                48.08%      44.23%\n",
      "Win Quarter %              72.22%      55.56%\n",
      "Win Year %                 80.0%       60.0%\n",
      "Beta                       -0.84       -\n",
      "Alpha                      0.18        -\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<h4>5 Worst Drawdowns</h4>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>Start</th>\n",
       "      <th>Valley</th>\n",
       "      <th>End</th>\n",
       "      <th>Days</th>\n",
       "      <th>Max Drawdown</th>\n",
       "      <th>99% Max Drawdown</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-07-10</td>\n",
       "      <td>2022-03-15</td>\n",
       "      <td>2022-04-08</td>\n",
       "      <td>637</td>\n",
       "      <td>-26.413053</td>\n",
       "      <td>-24.536839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-05-17</td>\n",
       "      <td>2018-10-18</td>\n",
       "      <td>2019-02-13</td>\n",
       "      <td>272</td>\n",
       "      <td>-22.837516</td>\n",
       "      <td>-21.143773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>2020-05-25</td>\n",
       "      <td>2020-07-03</td>\n",
       "      <td>109</td>\n",
       "      <td>-17.202493</td>\n",
       "      <td>-16.891037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-21</td>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>52</td>\n",
       "      <td>-16.987853</td>\n",
       "      <td>-15.183231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019-05-17</td>\n",
       "      <td>2019-08-13</td>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>230</td>\n",
       "      <td>-14.053519</td>\n",
       "      <td>-13.822824</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Start      Valley         End  Days  Max Drawdown  99% Max Drawdown\n",
       "1  2020-07-10  2022-03-15  2022-04-08   637    -26.413053        -24.536839\n",
       "2  2018-05-17  2018-10-18  2019-02-13   272    -22.837516        -21.143773\n",
       "3  2020-03-16  2020-05-25  2020-07-03   109    -17.202493        -16.891037\n",
       "4  2020-01-21  2020-02-04  2020-03-13    52    -16.987853        -15.183231\n",
       "5  2019-05-17  2019-08-13  2020-01-02   230    -14.053519        -13.822824"
      ]
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       "<h4>Strategy Visualization</h4>"
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     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x345.6 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x172.8 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x172.8 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x172.8 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x172.8 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x172.8 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x230.4 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 599.04x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from xlib import data\n",
    "import akshare as ak\n",
    "\n",
    "idx_data = ak.index_zh_a_hist(symbol='000300', period=\"daily\", start_date='20180101', end_date='20220410')    \n",
    "idx_data.rename(columns={'日期':'date', '开盘':'open', '收盘':'close', \n",
    "                           '最高':'high', '最低':'low', '成交量':'volume',\n",
    "                           '成交额':'amount', '振幅':'swing', '涨跌幅':'chg_pct',\n",
    "                           '涨跌额':'chg_amount', '换手率':'turnover',\n",
    "                          }, inplace = True)\n",
    "idx_data['date'] = pd.to_datetime(idx_data['date'], format='%Y-%m-%d')\n",
    "bench=idx_data.set_index('date')\n",
    "\n",
    "\n",
    "df=pd.DataFrame()\n",
    "df=pd.read_csv('./xlib/cache/fin.csv',index_col=0)\n",
    "df=df.reset_index(drop=True)\n",
    "df['label']=df['close'].shift(-30)/df['close']\n",
    "from xlib import model\n",
    "df_train,df_valid,df_pred=model.datasplit(df,train_end='2017-01-01',valid_end='2018-01-01')\n",
    "model.lgbtrain(df_train,df_valid,label='label')  \n",
    "preds=model.lgbpred(df_pred,label='label') \n",
    "\n",
    "from xlib.strategies import Top10Strategy\n",
    "from xlib import backtest\n",
    "preds['score']=preds.apply(lambda x: -9 if x['high']==x['low'] else x['pred'] ,axis=1)\n",
    "preds['rank']=preds.groupby('date')['score'].rank(method='max',ascending=False)\n",
    "preds['signal']=preds.apply(lambda x: 1 if x['rank']<=10 else 0 ,axis=1)\n",
    "\n",
    "#print(preds[preds.signal==1])\n",
    "returns=backtest.test(preds,Top10Strategy,hold_day=10)\n",
    "backtest.analysis(returns,bench)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "699ccb84",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-12T05:15:59.748087Z",
     "start_time": "2022-04-12T05:15:59.748075Z"
    }
   },
   "outputs": [],
   "source": [
    "returns=backtest.test(preds,Top10Strategy)\n",
    "backtest.analysis(returns,bench)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd38191f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-11T18:47:38.421833Z",
     "start_time": "2022-04-11T18:47:32.863701Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d917542",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}