1089 lines
120 KiB
Plaintext
1089 lines
120 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"metadata": {
|
||
"SqlCellData": {
|
||
"data_source_name": "leopard_dev@81.71.3.24",
|
||
"variableName$1": "dailies_df"
|
||
},
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:33:12.682027Z",
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"start_time": "2026-01-28T02:33:02.896258Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"%%sql\n",
|
||
"select trade_date, open * factor as Open, close * factor as Close, high * factor as High, low * factor as Low, volume as Volume, coalesce(factor, 1.0) as 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 '2024-01-01 00:00:00' and '2025-12-31 23:59:59'\n",
|
||
"order by daily.trade_date"
|
||
],
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||
"id": "93e66142c88e4d2f",
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||
"outputs": [
|
||
{
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||
"data": {
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||
"text/plain": [
|
||
" trade_date open close high low \\\n",
|
||
"0 2024-01-02 1095.935070 1074.926730 1099.436460 1074.926730 \n",
|
||
"1 2024-01-03 1072.592470 1073.759600 1076.093860 1067.923950 \n",
|
||
"2 2024-01-04 1072.592470 1063.255430 1072.592470 1059.754040 \n",
|
||
"3 2024-01-05 1062.088300 1081.929510 1101.770720 1058.586910 \n",
|
||
"4 2024-01-08 1077.260990 1067.923950 1085.430900 1063.255430 \n",
|
||
".. ... ... ... ... ... \n",
|
||
"425 2025-10-09 1493.155774 1502.380920 1503.698798 1485.248506 \n",
|
||
"426 2025-10-10 1498.427286 1506.334554 1514.241822 1497.109408 \n",
|
||
"427 2025-10-13 1491.837896 1502.380920 1510.288188 1486.566384 \n",
|
||
"428 2025-10-14 1501.063042 1524.784846 1528.738480 1497.109408 \n",
|
||
"429 2025-10-15 1526.130396 1534.205160 1536.896748 1515.364044 \n",
|
||
"\n",
|
||
" volume factor \n",
|
||
"0 1158366.45 116.7130 \n",
|
||
"1 733610.31 116.7130 \n",
|
||
"2 864193.99 116.7130 \n",
|
||
"3 1991622.16 116.7130 \n",
|
||
"4 1121156.19 116.7130 \n",
|
||
".. ... ... \n",
|
||
"425 1047469.06 131.7878 \n",
|
||
"426 1087947.75 131.7878 \n",
|
||
"427 1168801.73 131.7878 \n",
|
||
"428 1843428.36 131.7878 \n",
|
||
"429 1271061.03 134.5794 \n",
|
||
"\n",
|
||
"[430 rows x 7 columns]"
|
||
],
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||
"text/html": [
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"<div>\n",
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"<style scoped>\n",
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||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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||
" }\n",
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"</style>\n",
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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>volume</th>\n",
|
||
" <th>factor</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>2024-01-02</td>\n",
|
||
" <td>1095.935070</td>\n",
|
||
" <td>1074.926730</td>\n",
|
||
" <td>1099.436460</td>\n",
|
||
" <td>1074.926730</td>\n",
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||
" <td>1158366.45</td>\n",
|
||
" <td>116.7130</td>\n",
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||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2024-01-03</td>\n",
|
||
" <td>1072.592470</td>\n",
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||
" <td>1073.759600</td>\n",
|
||
" <td>1076.093860</td>\n",
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||
" <td>1067.923950</td>\n",
|
||
" <td>733610.31</td>\n",
|
||
" <td>116.7130</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>2024-01-04</td>\n",
|
||
" <td>1072.592470</td>\n",
|
||
" <td>1063.255430</td>\n",
|
||
" <td>1072.592470</td>\n",
|
||
" <td>1059.754040</td>\n",
|
||
" <td>864193.99</td>\n",
|
||
" <td>116.7130</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2024-01-05</td>\n",
|
||
" <td>1062.088300</td>\n",
|
||
" <td>1081.929510</td>\n",
|
||
" <td>1101.770720</td>\n",
|
||
" <td>1058.586910</td>\n",
|
||
" <td>1991622.16</td>\n",
|
||
" <td>116.7130</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>2024-01-08</td>\n",
|
||
" <td>1077.260990</td>\n",
|
||
" <td>1067.923950</td>\n",
|
||
" <td>1085.430900</td>\n",
|
||
" <td>1063.255430</td>\n",
|
||
" <td>1121156.19</td>\n",
|
||
" <td>116.7130</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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>425</th>\n",
|
||
" <td>2025-10-09</td>\n",
|
||
" <td>1493.155774</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1503.698798</td>\n",
|
||
" <td>1485.248506</td>\n",
|
||
" <td>1047469.06</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>426</th>\n",
|
||
" <td>2025-10-10</td>\n",
|
||
" <td>1498.427286</td>\n",
|
||
" <td>1506.334554</td>\n",
|
||
" <td>1514.241822</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1087947.75</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>427</th>\n",
|
||
" <td>2025-10-13</td>\n",
|
||
" <td>1491.837896</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1510.288188</td>\n",
|
||
" <td>1486.566384</td>\n",
|
||
" <td>1168801.73</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>428</th>\n",
|
||
" <td>2025-10-14</td>\n",
|
||
" <td>1501.063042</td>\n",
|
||
" <td>1524.784846</td>\n",
|
||
" <td>1528.738480</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1843428.36</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>429</th>\n",
|
||
" <td>2025-10-15</td>\n",
|
||
" <td>1526.130396</td>\n",
|
||
" <td>1534.205160</td>\n",
|
||
" <td>1536.896748</td>\n",
|
||
" <td>1515.364044</td>\n",
|
||
" <td>1271061.03</td>\n",
|
||
" <td>134.5794</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>430 rows × 7 columns</p>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 1,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 1
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:36:12.966661Z",
|
||
"start_time": "2026-01-28T02:36:12.867971Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"\n",
|
||
"dailies_df.rename(\n",
|
||
" columns={'open': 'Open', 'close': 'Close', 'high': 'High', 'low': 'Low', 'volume': 'Volume'}, inplace=True\n",
|
||
")\n",
|
||
"dailies_df['trade_date'] = pd.to_datetime(dailies_df['trade_date'], format='%Y-%m-%d')\n",
|
||
"dailies_df.set_index('trade_date', inplace=True)\n",
|
||
"dailies_df"
|
||
],
|
||
"id": "c0ed078ffd5b57fd",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
" Open Close High Low Volume \\\n",
|
||
"trade_date \n",
|
||
"2024-01-02 1095.935070 1074.926730 1099.436460 1074.926730 1158366.45 \n",
|
||
"2024-01-03 1072.592470 1073.759600 1076.093860 1067.923950 733610.31 \n",
|
||
"2024-01-04 1072.592470 1063.255430 1072.592470 1059.754040 864193.99 \n",
|
||
"2024-01-05 1062.088300 1081.929510 1101.770720 1058.586910 1991622.16 \n",
|
||
"2024-01-08 1077.260990 1067.923950 1085.430900 1063.255430 1121156.19 \n",
|
||
"... ... ... ... ... ... \n",
|
||
"2025-10-09 1493.155774 1502.380920 1503.698798 1485.248506 1047469.06 \n",
|
||
"2025-10-10 1498.427286 1506.334554 1514.241822 1497.109408 1087947.75 \n",
|
||
"2025-10-13 1491.837896 1502.380920 1510.288188 1486.566384 1168801.73 \n",
|
||
"2025-10-14 1501.063042 1524.784846 1528.738480 1497.109408 1843428.36 \n",
|
||
"2025-10-15 1526.130396 1534.205160 1536.896748 1515.364044 1271061.03 \n",
|
||
"\n",
|
||
" factor \n",
|
||
"trade_date \n",
|
||
"2024-01-02 116.7130 \n",
|
||
"2024-01-03 116.7130 \n",
|
||
"2024-01-04 116.7130 \n",
|
||
"2024-01-05 116.7130 \n",
|
||
"2024-01-08 116.7130 \n",
|
||
"... ... \n",
|
||
"2025-10-09 131.7878 \n",
|
||
"2025-10-10 131.7878 \n",
|
||
"2025-10-13 131.7878 \n",
|
||
"2025-10-14 131.7878 \n",
|
||
"2025-10-15 134.5794 \n",
|
||
"\n",
|
||
"[430 rows x 6 columns]"
|
||
],
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||
"text/html": [
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"<div>\n",
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||
"<style scoped>\n",
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Open</th>\n",
|
||
" <th>Close</th>\n",
|
||
" <th>High</th>\n",
|
||
" <th>Low</th>\n",
|
||
" <th>Volume</th>\n",
|
||
" <th>factor</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>trade_date</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>2024-01-02</th>\n",
|
||
" <td>1095.935070</td>\n",
|
||
" <td>1074.926730</td>\n",
|
||
" <td>1099.436460</td>\n",
|
||
" <td>1074.926730</td>\n",
|
||
" <td>1158366.45</td>\n",
|
||
" <td>116.7130</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2024-01-03</th>\n",
|
||
" <td>1072.592470</td>\n",
|
||
" <td>1073.759600</td>\n",
|
||
" <td>1076.093860</td>\n",
|
||
" <td>1067.923950</td>\n",
|
||
" <td>733610.31</td>\n",
|
||
" <td>116.7130</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2024-01-04</th>\n",
|
||
" <td>1072.592470</td>\n",
|
||
" <td>1063.255430</td>\n",
|
||
" <td>1072.592470</td>\n",
|
||
" <td>1059.754040</td>\n",
|
||
" <td>864193.99</td>\n",
|
||
" <td>116.7130</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2024-01-05</th>\n",
|
||
" <td>1062.088300</td>\n",
|
||
" <td>1081.929510</td>\n",
|
||
" <td>1101.770720</td>\n",
|
||
" <td>1058.586910</td>\n",
|
||
" <td>1991622.16</td>\n",
|
||
" <td>116.7130</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2024-01-08</th>\n",
|
||
" <td>1077.260990</td>\n",
|
||
" <td>1067.923950</td>\n",
|
||
" <td>1085.430900</td>\n",
|
||
" <td>1063.255430</td>\n",
|
||
" <td>1121156.19</td>\n",
|
||
" <td>116.7130</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>2025-10-09</th>\n",
|
||
" <td>1493.155774</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1503.698798</td>\n",
|
||
" <td>1485.248506</td>\n",
|
||
" <td>1047469.06</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-10</th>\n",
|
||
" <td>1498.427286</td>\n",
|
||
" <td>1506.334554</td>\n",
|
||
" <td>1514.241822</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1087947.75</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-13</th>\n",
|
||
" <td>1491.837896</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1510.288188</td>\n",
|
||
" <td>1486.566384</td>\n",
|
||
" <td>1168801.73</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-14</th>\n",
|
||
" <td>1501.063042</td>\n",
|
||
" <td>1524.784846</td>\n",
|
||
" <td>1528.738480</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1843428.36</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-15</th>\n",
|
||
" <td>1526.130396</td>\n",
|
||
" <td>1534.205160</td>\n",
|
||
" <td>1536.896748</td>\n",
|
||
" <td>1515.364044</td>\n",
|
||
" <td>1271061.03</td>\n",
|
||
" <td>134.5794</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>430 rows × 6 columns</p>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 2,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
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}
|
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|
||
"execution_count": 2
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:38:15.259655Z",
|
||
"start_time": "2026-01-28T02:38:15.199743Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import talib\n",
|
||
"\n",
|
||
"dailies_df['sma10'] = talib.SMA(dailies_df['Close'], timeperiod=10)\n",
|
||
"dailies_df['sma30'] = talib.SMA(dailies_df['Close'], timeperiod=30)\n",
|
||
"dailies_df['sma60'] = talib.SMA(dailies_df['Close'], timeperiod=60)\n",
|
||
"dailies_df['sma120'] = talib.SMA(dailies_df['Close'], timeperiod=120)\n",
|
||
"dailies_df.tail()"
|
||
],
|
||
"id": "c558d68773d228c1",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
" Open Close High Low Volume \\\n",
|
||
"trade_date \n",
|
||
"2025-10-09 1493.155774 1502.380920 1503.698798 1485.248506 1047469.06 \n",
|
||
"2025-10-10 1498.427286 1506.334554 1514.241822 1497.109408 1087947.75 \n",
|
||
"2025-10-13 1491.837896 1502.380920 1510.288188 1486.566384 1168801.73 \n",
|
||
"2025-10-14 1501.063042 1524.784846 1528.738480 1497.109408 1843428.36 \n",
|
||
"2025-10-15 1526.130396 1534.205160 1536.896748 1515.364044 1271061.03 \n",
|
||
"\n",
|
||
" factor sma10 sma30 sma60 sma120 \n",
|
||
"trade_date \n",
|
||
"2025-10-09 131.7878 1504.094161 1546.925196 1593.490219 1544.474925 \n",
|
||
"2025-10-10 131.7878 1504.357737 1543.762289 1589.646408 1545.431305 \n",
|
||
"2025-10-13 131.7878 1503.698798 1540.862958 1586.329749 1546.312145 \n",
|
||
"2025-10-14 131.7878 1506.202766 1536.997182 1583.232735 1547.358386 \n",
|
||
"2025-10-15 134.5794 1507.803737 1533.840781 1580.841843 1548.429886 "
|
||
],
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
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|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
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|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Open</th>\n",
|
||
" <th>Close</th>\n",
|
||
" <th>High</th>\n",
|
||
" <th>Low</th>\n",
|
||
" <th>Volume</th>\n",
|
||
" <th>factor</th>\n",
|
||
" <th>sma10</th>\n",
|
||
" <th>sma30</th>\n",
|
||
" <th>sma60</th>\n",
|
||
" <th>sma120</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>trade_date</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-09</th>\n",
|
||
" <td>1493.155774</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1503.698798</td>\n",
|
||
" <td>1485.248506</td>\n",
|
||
" <td>1047469.06</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1504.094161</td>\n",
|
||
" <td>1546.925196</td>\n",
|
||
" <td>1593.490219</td>\n",
|
||
" <td>1544.474925</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-10</th>\n",
|
||
" <td>1498.427286</td>\n",
|
||
" <td>1506.334554</td>\n",
|
||
" <td>1514.241822</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1087947.75</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1504.357737</td>\n",
|
||
" <td>1543.762289</td>\n",
|
||
" <td>1589.646408</td>\n",
|
||
" <td>1545.431305</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-13</th>\n",
|
||
" <td>1491.837896</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1510.288188</td>\n",
|
||
" <td>1486.566384</td>\n",
|
||
" <td>1168801.73</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1503.698798</td>\n",
|
||
" <td>1540.862958</td>\n",
|
||
" <td>1586.329749</td>\n",
|
||
" <td>1546.312145</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-14</th>\n",
|
||
" <td>1501.063042</td>\n",
|
||
" <td>1524.784846</td>\n",
|
||
" <td>1528.738480</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1843428.36</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1506.202766</td>\n",
|
||
" <td>1536.997182</td>\n",
|
||
" <td>1583.232735</td>\n",
|
||
" <td>1547.358386</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-15</th>\n",
|
||
" <td>1526.130396</td>\n",
|
||
" <td>1534.205160</td>\n",
|
||
" <td>1536.896748</td>\n",
|
||
" <td>1515.364044</td>\n",
|
||
" <td>1271061.03</td>\n",
|
||
" <td>134.5794</td>\n",
|
||
" <td>1507.803737</td>\n",
|
||
" <td>1533.840781</td>\n",
|
||
" <td>1580.841843</td>\n",
|
||
" <td>1548.429886</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 4
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:38:37.507442Z",
|
||
"start_time": "2026-01-28T02:38:37.447793Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"# 指标计算完成后截取后面指标的完整的部份使用\n",
|
||
"dailies_df = dailies_df.loc['2025-01-01':'2025-12-31']\n",
|
||
"dailies_df.tail()"
|
||
],
|
||
"id": "b6f5da567c935aa",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
" Open Close High Low Volume \\\n",
|
||
"trade_date \n",
|
||
"2025-10-09 1493.155774 1502.380920 1503.698798 1485.248506 1047469.06 \n",
|
||
"2025-10-10 1498.427286 1506.334554 1514.241822 1497.109408 1087947.75 \n",
|
||
"2025-10-13 1491.837896 1502.380920 1510.288188 1486.566384 1168801.73 \n",
|
||
"2025-10-14 1501.063042 1524.784846 1528.738480 1497.109408 1843428.36 \n",
|
||
"2025-10-15 1526.130396 1534.205160 1536.896748 1515.364044 1271061.03 \n",
|
||
"\n",
|
||
" factor sma10 sma30 sma60 sma120 \n",
|
||
"trade_date \n",
|
||
"2025-10-09 131.7878 1504.094161 1546.925196 1593.490219 1544.474925 \n",
|
||
"2025-10-10 131.7878 1504.357737 1543.762289 1589.646408 1545.431305 \n",
|
||
"2025-10-13 131.7878 1503.698798 1540.862958 1586.329749 1546.312145 \n",
|
||
"2025-10-14 131.7878 1506.202766 1536.997182 1583.232735 1547.358386 \n",
|
||
"2025-10-15 134.5794 1507.803737 1533.840781 1580.841843 1548.429886 "
|
||
],
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" 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>Open</th>\n",
|
||
" <th>Close</th>\n",
|
||
" <th>High</th>\n",
|
||
" <th>Low</th>\n",
|
||
" <th>Volume</th>\n",
|
||
" <th>factor</th>\n",
|
||
" <th>sma10</th>\n",
|
||
" <th>sma30</th>\n",
|
||
" <th>sma60</th>\n",
|
||
" <th>sma120</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>trade_date</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-09</th>\n",
|
||
" <td>1493.155774</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1503.698798</td>\n",
|
||
" <td>1485.248506</td>\n",
|
||
" <td>1047469.06</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1504.094161</td>\n",
|
||
" <td>1546.925196</td>\n",
|
||
" <td>1593.490219</td>\n",
|
||
" <td>1544.474925</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-10</th>\n",
|
||
" <td>1498.427286</td>\n",
|
||
" <td>1506.334554</td>\n",
|
||
" <td>1514.241822</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1087947.75</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1504.357737</td>\n",
|
||
" <td>1543.762289</td>\n",
|
||
" <td>1589.646408</td>\n",
|
||
" <td>1545.431305</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-13</th>\n",
|
||
" <td>1491.837896</td>\n",
|
||
" <td>1502.380920</td>\n",
|
||
" <td>1510.288188</td>\n",
|
||
" <td>1486.566384</td>\n",
|
||
" <td>1168801.73</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1503.698798</td>\n",
|
||
" <td>1540.862958</td>\n",
|
||
" <td>1586.329749</td>\n",
|
||
" <td>1546.312145</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-14</th>\n",
|
||
" <td>1501.063042</td>\n",
|
||
" <td>1524.784846</td>\n",
|
||
" <td>1528.738480</td>\n",
|
||
" <td>1497.109408</td>\n",
|
||
" <td>1843428.36</td>\n",
|
||
" <td>131.7878</td>\n",
|
||
" <td>1506.202766</td>\n",
|
||
" <td>1536.997182</td>\n",
|
||
" <td>1583.232735</td>\n",
|
||
" <td>1547.358386</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2025-10-15</th>\n",
|
||
" <td>1526.130396</td>\n",
|
||
" <td>1534.205160</td>\n",
|
||
" <td>1536.896748</td>\n",
|
||
" <td>1515.364044</td>\n",
|
||
" <td>1271061.03</td>\n",
|
||
" <td>134.5794</td>\n",
|
||
" <td>1507.803737</td>\n",
|
||
" <td>1533.840781</td>\n",
|
||
" <td>1580.841843</td>\n",
|
||
" <td>1548.429886</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 5
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:41:29.790184Z",
|
||
"start_time": "2026-01-28T02:41:29.742624Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from backtesting import Strategy\n",
|
||
"from backtesting.lib import crossover\n",
|
||
"\n",
|
||
"\n",
|
||
"class SmaCross(Strategy):\n",
|
||
" def init(self):\n",
|
||
" self.sma10 = self.I(lambda x: x, self.data.sma10)\n",
|
||
" self.sma30 = self.I(lambda x: x, self.data.sma30)\n",
|
||
" self.sma60 = self.I(lambda x: x, self.data.sma60)\n",
|
||
" # self.sma120 = self.I(lambda x: x, self.data.sma120)\n",
|
||
"\n",
|
||
" def next(self):\n",
|
||
" if self.sma60 > 0 and crossover(self.data.sma10, self.data.sma30):\n",
|
||
" self.buy()\n",
|
||
" elif self.position.size > 0 and crossover(self.data.sma30, self.data.sma10):\n",
|
||
" self.position.close()"
|
||
],
|
||
"id": "b56aaaf4cad7bc7d",
|
||
"outputs": [],
|
||
"execution_count": 13
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:39:15.398782Z",
|
||
"start_time": "2026-01-28T02:39:15.372137Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"def stats_print(stats):\n",
|
||
" indicator_name_mapping = {\n",
|
||
" # 'Start': '回测开始时间',\n",
|
||
" # 'End': '回测结束时间',\n",
|
||
" # 'Duration': '回测持续时长',\n",
|
||
" # 'Exposure Time [%]': '持仓时间占比（%）',\n",
|
||
" 'Equity Final [$]': '最终收益',\n",
|
||
" 'Equity Peak [$]': '峰值收益',\n",
|
||
" 'Return [%]': '总收益率（%）',\n",
|
||
" 'Buy & Hold Return [%]': '买入并持有收益率（%）',\n",
|
||
" 'Return (Ann.) [%]': '年化收益率（%）',\n",
|
||
" 'Volatility (Ann.) [%]': '年化波动率（%）',\n",
|
||
" # 'CAGR [%]': '复合年均增长率（%）',\n",
|
||
" # 'Sharpe Ratio': '夏普比率',\n",
|
||
" 'Sortino Ratio': '索提诺比率',\n",
|
||
" 'Calmar Ratio': '卡尔玛比率',\n",
|
||
" # 'Alpha [%]': '阿尔法系数（%）',\n",
|
||
" # 'Beta': '贝塔系数',\n",
|
||
" 'Max. Drawdown [%]': '最大回撤（%）',\n",
|
||
" 'Avg. Drawdown [%]': '平均回撤（%）',\n",
|
||
" 'Max. Drawdown Duration': '最大回撤持续时长',\n",
|
||
" 'Avg. Drawdown Duration': '平均回撤持续时长',\n",
|
||
" '# Trades': '总交易次数',\n",
|
||
" 'Win Rate [%]': '胜率（%）',\n",
|
||
" # 'Best Trade [%]': '最佳单笔交易收益率（%）',\n",
|
||
" # 'Worst Trade [%]': '最差单笔交易收益率（%）',\n",
|
||
" # 'Avg. Trade [%]': '平均单笔交易收益率（%）',\n",
|
||
" # 'Max. Trade Duration': '单笔交易最长持有时长',\n",
|
||
" # 'Avg. Trade Duration': '单笔交易平均持有时长',\n",
|
||
" # 'Profit Factor': '盈利因子',\n",
|
||
" # 'Expectancy [%]': '期望收益（%）',\n",
|
||
" 'SQN': '系统质量数',\n",
|
||
" # 'Kelly Criterion': '凯利准则',\n",
|
||
" }\n",
|
||
" for k, v in stats.items():\n",
|
||
" if k in indicator_name_mapping:\n",
|
||
" cn_name = indicator_name_mapping.get(k, k)\n",
|
||
" if isinstance(v, (int, float)):\n",
|
||
" if \"%\" in cn_name or k in ['Sharpe Ratio', 'Sortino Ratio', 'Calmar Ratio', 'Profit Factor']:\n",
|
||
" formatted_value = f\"{v:.2f}\"\n",
|
||
" elif \"$\" in cn_name:\n",
|
||
" formatted_value = f\"{v:.2f}\"\n",
|
||
" elif \"次数\" in cn_name:\n",
|
||
" formatted_value = f\"{v:.0f}\"\n",
|
||
" else:\n",
|
||
" formatted_value = f\"{v:.4f}\"\n",
|
||
" else:\n",
|
||
" formatted_value = str(v)\n",
|
||
" print(f'{cn_name}: {formatted_value}')"
|
||
],
|
||
"id": "a23e811212958477",
|
||
"outputs": [],
|
||
"execution_count": 7
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:41:45.264982Z",
|
||
"start_time": "2026-01-28T02:41:45.179431Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from backtesting import Backtest\n",
|
||
"\n",
|
||
"import backtesting._plotting as plotting\n",
|
||
"from bokeh.colors.named import tomato, lime\n",
|
||
"\n",
|
||
"plotting.BULL_COLOR = tomato\n",
|
||
"plotting.BEAR_COLOR = lime\n",
|
||
"\n",
|
||
"bt = Backtest(dailies_df, SmaCross, cash=100000, commission=.002, finalize_trades=True)\n",
|
||
"stats = bt.run()\n",
|
||
"stats_print(stats)"
|
||
],
|
||
"id": "afc750727129ff2e",
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"最终收益: 106401.5007\n",
|
||
"峰值收益: 114790.5427\n",
|
||
"总收益率（%）: 6.40\n",
|
||
"买入并持有收益率（%）: 5.04\n",
|
||
"年化收益率（%）: 8.67\n",
|
||
"年化波动率（%）: 12.75\n",
|
||
"索提诺比率: 1.11\n",
|
||
"卡尔玛比率: 1.19\n",
|
||
"最大回撤（%）: -7.31\n",
|
||
"平均回撤（%）: -2.59\n",
|
||
"最大回撤持续时长: 97 days 00:00:00\n",
|
||
"平均回撤持续时长: 29 days 00:00:00\n",
|
||
"总交易次数: 2\n",
|
||
"胜率（%）: 50.00\n",
|
||
"系统质量数: 0.4955\n"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 14
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:50:13.762168Z",
|
||
"start_time": "2026-01-28T02:50:13.715115Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"stats._trades\n",
|
||
"# stats._equity_curve"
|
||
],
|
||
"id": "d3e3b4d4836ab51b",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
" Size EntryBar ExitBar EntryPrice ExitPrice SL TP PnL \\\n",
|
||
"0 66 27 53 1502.741016 1459.294422 None None -3258.463882 \n",
|
||
"1 66 85 140 1460.572263 1613.082672 None None 9659.964543 \n",
|
||
"\n",
|
||
" Commission ReturnPct EntryTime ExitTime Duration Tag Entry_λ(sma10) \\\n",
|
||
"0 390.988678 -0.032854 2025-02-18 2025-03-26 36 days None 1469.772718 \n",
|
||
"1 405.722451 0.100209 2025-05-15 2025-08-01 78 days None 1423.259306 \n",
|
||
"\n",
|
||
" Exit_λ(sma10) Entry_λ(sma30) Exit_λ(sma30) Entry_λ(sma60) Exit_λ(sma60) \n",
|
||
"0 1474.884082 1463.894650 1481.571450 1472.456184 1474.500730 \n",
|
||
"1 1635.881961 1413.973661 1644.448168 1447.112338 1566.764455 "
|
||
],
|
||
"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>Size</th>\n",
|
||
" <th>EntryBar</th>\n",
|
||
" <th>ExitBar</th>\n",
|
||
" <th>EntryPrice</th>\n",
|
||
" <th>ExitPrice</th>\n",
|
||
" <th>SL</th>\n",
|
||
" <th>TP</th>\n",
|
||
" <th>PnL</th>\n",
|
||
" <th>Commission</th>\n",
|
||
" <th>ReturnPct</th>\n",
|
||
" <th>EntryTime</th>\n",
|
||
" <th>ExitTime</th>\n",
|
||
" <th>Duration</th>\n",
|
||
" <th>Tag</th>\n",
|
||
" <th>Entry_λ(sma10)</th>\n",
|
||
" <th>Exit_λ(sma10)</th>\n",
|
||
" <th>Entry_λ(sma30)</th>\n",
|
||
" <th>Exit_λ(sma30)</th>\n",
|
||
" <th>Entry_λ(sma60)</th>\n",
|
||
" <th>Exit_λ(sma60)</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>66</td>\n",
|
||
" <td>27</td>\n",
|
||
" <td>53</td>\n",
|
||
" <td>1502.741016</td>\n",
|
||
" <td>1459.294422</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>-3258.463882</td>\n",
|
||
" <td>390.988678</td>\n",
|
||
" <td>-0.032854</td>\n",
|
||
" <td>2025-02-18</td>\n",
|
||
" <td>2025-03-26</td>\n",
|
||
" <td>36 days</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>1469.772718</td>\n",
|
||
" <td>1474.884082</td>\n",
|
||
" <td>1463.894650</td>\n",
|
||
" <td>1481.571450</td>\n",
|
||
" <td>1472.456184</td>\n",
|
||
" <td>1474.500730</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>66</td>\n",
|
||
" <td>85</td>\n",
|
||
" <td>140</td>\n",
|
||
" <td>1460.572263</td>\n",
|
||
" <td>1613.082672</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>9659.964543</td>\n",
|
||
" <td>405.722451</td>\n",
|
||
" <td>0.100209</td>\n",
|
||
" <td>2025-05-15</td>\n",
|
||
" <td>2025-08-01</td>\n",
|
||
" <td>78 days</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>1423.259306</td>\n",
|
||
" <td>1635.881961</td>\n",
|
||
" <td>1413.973661</td>\n",
|
||
" <td>1644.448168</td>\n",
|
||
" <td>1447.112338</td>\n",
|
||
" <td>1566.764455</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 19
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-01-28T02:42:06.075903Z",
|
||
"start_time": "2026-01-28T02:42:05.332615Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "bt.plot()",
|
||
"id": "52f84828e5903349",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"\n",
|
||
" <div id=\"a42589f6-5484-44e6-a172-f7aef84b7fea\" data-root-id=\"p2126\" style=\"display: contents;\"></div>\n"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
},
|
||
{
|
||
"data": {
|
||
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