{
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  {
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     "end_time": "2026-01-19T10:00:35.820002Z",
     "start_time": "2026-01-19T10:00:34.354216Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import pandas as pd\n",
    "\n",
    "host = '81.71.3.24'\n",
    "port = 6785\n",
    "database = 'leopard_dev'\n",
    "username = 'leopard'\n",
    "password = '9NEzFzovnddf@PyEP?e*AYAWnCyd7UhYwQK$pJf>7?ccFiN^x4$eKEZ5~E<7<+~X'"
   ],
   "id": "d815a3591c4f9463",
   "outputs": [],
   "execution_count": 2
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2026-01-19T10:00:42.739695Z",
     "start_time": "2026-01-19T10:00:35.820726Z"
    }
   },
   "source": [
    "import psycopg2\n",
    "\n",
    "dailies_df = pd.DataFrame()\n",
    "\n",
    "with psycopg2.connect(host=host, port=port, database=database, user=username, password=password) as connection:\n",
    "    with connection.cursor() as cursor:\n",
    "        # language=PostgreSQL\n",
    "        cursor.execute(\n",
    "            \"\"\"select trade_date, open, close, high, low, factor\n",
    "from leopard_daily daily\n",
    "         left join leopard_stock stock on stock.id = daily.stock_id\n",
    "where stock.code = '000001.SZ'\n",
    "  and daily.trade_date between '2025-01-01 00:00:00' and '2025-12-31 23:59:59'\n",
    "order by daily.trade_date\"\"\"\n",
    "            )\n",
    "        rows = cursor.fetchall()\n",
    "\n",
    "        dailies_df = pd.DataFrame.from_records(rows, columns=['trade_date', 'open', 'close', 'high', 'low', 'factor'])\n",
    "\n",
    "dailies_df"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     trade_date   open  close   high    low    factor\n",
       "0    2025-01-02  11.73  11.43  11.77  11.39  127.7841\n",
       "1    2025-01-03  11.44  11.38  11.54  11.36  127.7841\n",
       "2    2025-01-06  11.38  11.44  11.48  11.22  127.7841\n",
       "3    2025-01-07  11.42  11.51  11.53  11.37  127.7841\n",
       "4    2025-01-08  11.50  11.50  11.63  11.40  127.7841\n",
       "..          ...    ...    ...    ...    ...       ...\n",
       "183  2025-10-09  11.33  11.40  11.41  11.27  131.7878\n",
       "184  2025-10-10  11.37  11.43  11.49  11.36  131.7878\n",
       "185  2025-10-13  11.32  11.40  11.46  11.28  131.7878\n",
       "186  2025-10-14  11.39  11.57  11.60  11.36  131.7878\n",
       "187  2025-10-15  11.34  11.40  11.42  11.26  134.5794\n",
       "\n",
       "[188 rows x 6 columns]"
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trade_date</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2025-01-02</td>\n",
       "      <td>11.73</td>\n",
       "      <td>11.43</td>\n",
       "      <td>11.77</td>\n",
       "      <td>11.39</td>\n",
       "      <td>127.7841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2025-01-03</td>\n",
       "      <td>11.44</td>\n",
       "      <td>11.38</td>\n",
       "      <td>11.54</td>\n",
       "      <td>11.36</td>\n",
       "      <td>127.7841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2025-01-06</td>\n",
       "      <td>11.38</td>\n",
       "      <td>11.44</td>\n",
       "      <td>11.48</td>\n",
       "      <td>11.22</td>\n",
       "      <td>127.7841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2025-01-07</td>\n",
       "      <td>11.42</td>\n",
       "      <td>11.51</td>\n",
       "      <td>11.53</td>\n",
       "      <td>11.37</td>\n",
       "      <td>127.7841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2025-01-08</td>\n",
       "      <td>11.50</td>\n",
       "      <td>11.50</td>\n",
       "      <td>11.63</td>\n",
       "      <td>11.40</td>\n",
       "      <td>127.7841</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2025-10-09</td>\n",
       "      <td>11.33</td>\n",
       "      <td>11.40</td>\n",
       "      <td>11.41</td>\n",
       "      <td>11.27</td>\n",
       "      <td>131.7878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2025-10-10</td>\n",
       "      <td>11.37</td>\n",
       "      <td>11.43</td>\n",
       "      <td>11.49</td>\n",
       "      <td>11.36</td>\n",
       "      <td>131.7878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>11.32</td>\n",
       "      <td>11.40</td>\n",
       "      <td>11.46</td>\n",
       "      <td>11.28</td>\n",
       "      <td>131.7878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2025-10-14</td>\n",
       "      <td>11.39</td>\n",
       "      <td>11.57</td>\n",
       "      <td>11.60</td>\n",
       "      <td>11.36</td>\n",
       "      <td>131.7878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2025-10-15</td>\n",
       "      <td>11.34</td>\n",
       "      <td>11.40</td>\n",
       "      <td>11.42</td>\n",
       "      <td>11.26</td>\n",
       "      <td>134.5794</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>188 rows × 6 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-01-19T10:01:46.133661Z",
     "start_time": "2026-01-19T10:01:46.044719Z"
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   },
   "cell_type": "code",
   "source": [
    "dailies_df['factor'] = dailies_df['factor'].fillna(1.0)\n",
    "dailies_df['open'] = dailies_df['open'] * dailies_df['factor']\n",
    "dailies_df['close'] = dailies_df['close'] * dailies_df['factor']\n",
    "dailies_df['high'] = dailies_df['high'] * dailies_df['factor']\n",
    "dailies_df['low'] = dailies_df['low'] * dailies_df['factor']\n",
    "dailies_df"
   ],
   "id": "29226cf1c6fe9f94",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     trade_date           open          close           high            low  \\\n",
       "0    2025-01-02  191536.544976  186637.912112  192189.696025  185984.761064   \n",
       "1    2025-01-03  186801.199875  185821.473302  188434.077496  185494.897778   \n",
       "2    2025-01-06  185821.473302  186801.199875  187454.350923  183208.869108   \n",
       "3    2025-01-07  186474.624350  187944.214209  188270.789734  185658.185540   \n",
       "4    2025-01-08  187780.926447  187780.926447  189903.667355  186148.048826   \n",
       "..          ...            ...            ...            ...            ...   \n",
       "183  2025-10-09  196779.714513  197995.476209  198169.156451  195737.633059   \n",
       "184  2025-10-10  197474.435482  198516.516936  199558.598389  197300.755240   \n",
       "185  2025-10-13  196606.034270  197995.476209  199037.557663  195911.313301   \n",
       "186  2025-10-14  197821.795966  200948.040328  201469.081055  197300.755240   \n",
       "187  2025-10-15  205385.713015  206472.409910  206834.642208  203936.783823   \n",
       "\n",
       "       factor  \n",
       "0    127.7841  \n",
       "1    127.7841  \n",
       "2    127.7841  \n",
       "3    127.7841  \n",
       "4    127.7841  \n",
       "..        ...  \n",
       "183  131.7878  \n",
       "184  131.7878  \n",
       "185  131.7878  \n",
       "186  131.7878  \n",
       "187  134.5794  \n",
       "\n",
       "[188 rows x 6 columns]"
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       "      <th>open</th>\n",
       "      <th>close</th>\n",
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       "      <th>low</th>\n",
       "      <th>factor</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>2025-01-02</td>\n",
       "      <td>191536.544976</td>\n",
       "      <td>186637.912112</td>\n",
       "      <td>192189.696025</td>\n",
       "      <td>185984.761064</td>\n",
       "      <td>127.7841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2025-01-03</td>\n",
       "      <td>186801.199875</td>\n",
       "      <td>185821.473302</td>\n",
       "      <td>188434.077496</td>\n",
       "      <td>185494.897778</td>\n",
       "      <td>127.7841</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2025-01-06</td>\n",
       "      <td>185821.473302</td>\n",
       "      <td>186801.199875</td>\n",
       "      <td>187454.350923</td>\n",
       "      <td>183208.869108</td>\n",
       "      <td>127.7841</td>\n",
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       "      <th>3</th>\n",
       "      <td>2025-01-07</td>\n",
       "      <td>186474.624350</td>\n",
       "      <td>187944.214209</td>\n",
       "      <td>188270.789734</td>\n",
       "      <td>185658.185540</td>\n",
       "      <td>127.7841</td>\n",
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       "      <th>4</th>\n",
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       "      <td>187780.926447</td>\n",
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       "      <td>189903.667355</td>\n",
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       "      <td>198169.156451</td>\n",
       "      <td>195737.633059</td>\n",
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       "      <td>197474.435482</td>\n",
       "      <td>198516.516936</td>\n",
       "      <td>199558.598389</td>\n",
       "      <td>197300.755240</td>\n",
       "      <td>131.7878</td>\n",
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       "      <th>185</th>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>196606.034270</td>\n",
       "      <td>197995.476209</td>\n",
       "      <td>199037.557663</td>\n",
       "      <td>195911.313301</td>\n",
       "      <td>131.7878</td>\n",
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       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2025-10-14</td>\n",
       "      <td>197821.795966</td>\n",
       "      <td>200948.040328</td>\n",
       "      <td>201469.081055</td>\n",
       "      <td>197300.755240</td>\n",
       "      <td>131.7878</td>\n",
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       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2025-10-15</td>\n",
       "      <td>205385.713015</td>\n",
       "      <td>206472.409910</td>\n",
       "      <td>206834.642208</td>\n",
       "      <td>203936.783823</td>\n",
       "      <td>134.5794</td>\n",
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  }
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