{ "cells": [ { "cell_type": "code", "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2025-02-19T14:44:47.980877Z", "start_time": "2025-02-19T14:44:47.977369Z" } }, "source": [ "import pandas as pd\n", "import platform\n", "import os\n", "\n", "root_path = \"C:\\\\Users\\\\lanyuanxiaoyao\\\\SynologyDrive\\\\data\\\\Tushare\" \\\n", " if platform.processor().startswith(\"AMD\") \\\n", " else \"/Users/lanyuanxiaoyao/SynologyDrive/data/Tushare\"" ], "outputs": [], "execution_count": 47 }, { "metadata": { "ExecuteTime": { "end_time": "2025-02-19T14:44:48.019179Z", "start_time": "2025-02-19T14:44:48.014177Z" } }, "cell_type": "code", "source": [ "def load_stock(code):\n", " source_df = pd.read_csv(os.path.join(root_path, \"日线行情 1990-2024\", \"分组行情\", f\"{code}.csv\")) \\\n", " [[\"trade_date\", \"vol\", \"open_qfq\", \"close_qfq\", \"high_qfq\", \"low_qfq\"]]\n", " temp_df = pd.DataFrame()\n", " temp_df[[\"date\", \"Volume\", \"Open\", \"Close\", \"High\", \"Low\"]] = \\\n", " source_df[[\"trade_date\", \"vol\", \"open_qfq\", \"close_qfq\", \"high_qfq\", \"low_qfq\"]]\n", " temp_df[\"datetime\"] = pd.to_datetime(temp_df[\"date\"], format=\"%Y%m%d\")\n", " temp_df[\"datetime_text\"] = temp_df[\"datetime\"].apply(lambda x: x.strftime(\"%Y%m%d\"))\n", " temp_df = temp_df[temp_df[\"datetime\"].dt.year > 2023]\n", " temp_df.sort_values(by='datetime', inplace=True)\n", " temp_df.set_index('datetime', inplace=True)\n", " return temp_df" ], "id": "414a7a0a199096a2", "outputs": [], "execution_count": 48 }, { "metadata": { "ExecuteTime": { "end_time": "2025-02-19T14:44:48.086771Z", "start_time": "2025-02-19T14:44:48.043313Z" } }, "cell_type": "code", "source": "df = load_stock(\"000001.SZ\")", "id": "bdcc7bfcec324577", "outputs": [], "execution_count": 49 }, { "metadata": { "ExecuteTime": { "end_time": "2025-02-19T14:44:48.094953Z", "start_time": "2025-02-19T14:44:48.090778Z" } }, "cell_type": "code", "source": [ "def translate_metrics(data):\n", " \"\"\"\n", " 将 Pandas Series 中的指标名称翻译为中文并打印结果。\n", "\n", " 参数:\n", " data (pd.Series or pd.DataFrame): 包含指标的 Pandas 数据结构。\n", " \"\"\"\n", " # 翻译字典\n", " translation = {\n", " \"Start\": \"开始日期\",\n", " \"End\": \"结束日期\",\n", " \"Duration\": \"持续时间\",\n", " \"Exposure Time [%]\": \"有效时间\",\n", " \"Equity Final [$]\": \"最终权益\",\n", " \"Equity Peak [$]\": \"最高权益\",\n", " \"Commissions [$]\": \"佣金\",\n", " \"Return [%]\": \"回报率\",\n", " \"Buy & Hold Return [%]\": \"买并持有回报率\",\n", " \"Return (Ann.) [%]\": \"年化回报率\",\n", " \"Volatility (Ann.) [%]\": \"年化波动率\",\n", " \"CAGR [%]\": \"年复合增长率\",\n", " \"Sharpe Ratio\": \"夏普比率\",\n", " \"Sortino Ratio\": \"索提诺比率\",\n", " \"Calmar Ratio\": \"卡玛比率\",\n", " \"Max. Drawdown [%]\": \"最大回撤\",\n", " \"Avg. Drawdown [%]\": \"平均回撤\",\n", " \"Max. Drawdown Duration\": \"最长回撤时间\",\n", " \"Avg. Drawdown Duration\": \"平均回撤时间\",\n", " \"# Trades\": \"交易次数\",\n", " \"Win Rate [%]\": \"胜率\",\n", " \"Best Trade [%]\": \"最佳交易\",\n", " \"Worst Trade [%]\": \"最差交易\",\n", " \"Avg. Trade [%]\": \"平均交易\",\n", " \"Max. Trade Duration\": \"最长交易时间\",\n", " \"Avg. Trade Duration\": \"平均交易时间\",\n", " \"Profit Factor\": \"利润因子\",\n", " \"Expectancy [%]\": \"期望\",\n", " \"SQN\": \"系统质量系数\",\n", " \"Kelly Criterion\": \"凯利比率\"\n", " }\n", "\n", " # 如果是 Series\n", " if isinstance(data, pd.Series):\n", " for idx in range(len(data)):\n", " key = data.index[idx]\n", " value = data.iloc[idx]\n", " translated_key = translation.get(key, key)\n", " print(f\"{translated_key}: {value}\")\n", " else:\n", " raise ValueError(\"输入数据必须是 Pandas Series 或 DataFrame。\")" ], "id": "f6e932667ad314ff", "outputs": [], "execution_count": 50 }, { "metadata": { "ExecuteTime": { "end_time": "2025-02-19T14:44:48.110292Z", "start_time": "2025-02-19T14:44:48.106357Z" } }, "cell_type": "code", "source": [ "from backtesting import Strategy\n", "from backtesting.lib import crossover\n", "import talib\n", "\n", "\n", "class MACDStrategy(Strategy):\n", " def init(self):\n", " self.dea, self.dif, self.macd = self.I(talib.MACD, self.data.Close, 12, 26, 9)\n", "\n", " def next(self):\n", " # print(self.position.size)\n", " if crossover(self.dif, self.dea) and self.macd > 0 and (self.dif > self.macd and self.dea > self.macd):\n", " print(\"buy\")\n", " self.buy()\n", " elif crossover(self.dea, self.dif):\n", " print(\"sell\")\n", " self.position.close()" ], "id": "1b47368c3b916b9b", "outputs": [], "execution_count": 51 }, { "metadata": { "ExecuteTime": { "end_time": "2025-02-19T14:44:48.126801Z", "start_time": "2025-02-19T14:44:48.121801Z" } }, "cell_type": "code", "source": [ "class SMAStrategy(Strategy):\n", " def init(self):\n", " self.sma_fast = self.I(talib.SMA, self.data.Close, 14)\n", " self.sma_slow = self.I(talib.SMA, self.data.Close, 60)\n", "\n", " def next(self):\n", " if crossover(self.sma_fast, self.sma_slow):\n", " self.buy(size=100)\n", " elif crossover(self.sma_slow, self.sma_fast):\n", " self.position.close()" ], "id": "85da7018d63adc0", "outputs": [], "execution_count": 52 }, { "metadata": { "ExecuteTime": { "end_time": "2025-02-19T14:52:01.326524Z", "start_time": "2025-02-19T14:52:01.155798Z" } }, "cell_type": "code", "source": [ "from backtesting import Backtest\n", "\n", "bt = Backtest(df, SMAStrategy, cash=10000, commission=.002, trade_on_close=True)\n", "result = bt.run()\n", "print(result.iloc[4])\n", "bt.plot()" ], "id": "ab574b78805925e5", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "9824.765695999999\n" ] }, { "data": { "text/html": [ "\n", "
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GridPlot(
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align = 'auto',
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height_policy = 'auto',
js_event_callbacks = {},
js_property_callbacks = {},
margin = None,
max_height = None,
max_width = None,
min_height = None,
min_width = None,
name = None,
resizable = False,
rows = None,
sizing_mode = 'stretch_width',
spacing = 0,
styles = {},
stylesheets = [],
subscribed_events = PropertyValueSet(),
syncable = True,
tags = [],
toolbar = Toolbar(id='p10193', ...),
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visible = True,
width = None,
width_policy = 'auto')
\n", "\n" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 56 }, { "metadata": { "ExecuteTime": { "end_time": "2025-02-19T15:01:49.262777Z", "start_time": "2025-02-19T14:55:44.559148Z" } }, "cell_type": "code", "source": [ "count = 0\n", "success = 0\n", "\n", "for name in os.listdir(os.path.join(root_path, \"日线行情 1990-2024\", \"分组行情\")):\n", " if name.endswith(\"SZ.csv\"):\n", " stock_df = load_stock(name.replace(\".csv\", \"\"))\n", " if stock_df.empty:\n", " continue\n", " bt = Backtest(stock_df, SMAStrategy, cash=10000, commission=.002, trade_on_close=True)\n", " result = bt.run()\n", " count += 1\n", " final = result.iloc[4]\n", " if final > 10000:\n", " success += 1\n", " print(f\"{name}: {result.iloc[4]} 胜率：{(success / count) * 100:.2f}%\")" ], "id": "abcba3a2b27082af", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "000001.SZ.csv: 9824.765695999999 胜率：0.00%\n", "000002.SZ.csv: 9909.224 胜率：0.00%\n", "000004.SZ.csv: 10158.748 胜率：33.33%\n", "000005.SZ.csv: 10000.0 胜率：25.00%\n", "000006.SZ.csv: 10244.208 胜率：40.00%\n", "000007.SZ.csv: 10152.646 胜率：50.00%\n", "000008.SZ.csv: 10040.732 胜率：57.14%\n", "000009.SZ.csv: 9896.06 胜率：50.00%\n", "000010.SZ.csv: 10075.912 胜率：55.56%\n", "000011.SZ.csv: 9950.799048 胜率：50.00%\n", "000012.SZ.csv: 9860.842931999998 胜率：45.45%\n", "000014.SZ.csv: 10164.134 胜率：50.00%\n", "000016.SZ.csv: 10314.526 胜率：53.85%\n", "000017.SZ.csv: 9957.758 胜率：50.00%\n", "000019.SZ.csv: 10018.503198 胜率：53.33%\n", "000020.SZ.csv: 10113.974 胜率：56.25%\n", "000021.SZ.csv: 9885.264262 胜率：52.94%\n", "000023.SZ.csv: 10000.0 胜率：50.00%\n", "000025.SZ.csv: 10069.527844 胜率：52.63%\n", "000026.SZ.csv: 10148.226 胜率：55.00%\n", "000027.SZ.csv: 9962.504 胜率：52.38%\n", "000028.SZ.csv: 10168.498 胜率：54.55%\n", "000029.SZ.csv: 10290.295999999998 胜率：56.52%\n", "000030.SZ.csv: 10001.98 胜率：58.33%\n", "000031.SZ.csv: 10022.404 胜率：60.00%\n", "000032.SZ.csv: 10126.808 胜率：61.54%\n", "000034.SZ.csv: 10855.441738 胜率：62.96%\n", "000035.SZ.csv: 10015.058 胜率：64.29%\n", "000036.SZ.csv: 10085.300000000001 胜率：65.52%\n", "000037.SZ.csv: 10006.736 胜率：66.67%\n", "000039.SZ.csv: 9940.668 胜率：64.52%\n", "000040.SZ.csv: 9956.47 胜率：62.50%\n", "000042.SZ.csv: 9907.178 胜率：60.61%\n", "000045.SZ.csv: 10190.258 胜率：61.76%\n", "000048.SZ.csv: 10127.17092 胜率：62.86%\n", "000049.SZ.csv: 9735.124 胜率：61.11%\n", "000050.SZ.csv: 10084.366 胜率：62.16%\n", "000055.SZ.csv: 9953.573828 胜率：60.53%\n", "000056.SZ.csv: 10092.64 胜率：61.54%\n", "000058.SZ.csv: 10218.834 胜率：62.50%\n", "000059.SZ.csv: 9993.034 胜率：60.98%\n", "000060.SZ.csv: 9983.046 胜率：59.52%\n", "000061.SZ.csv: 10168.938 胜率：60.47%\n", "000062.SZ.csv: 11370.720175999999 胜率：61.36%\n", "000063.SZ.csv: 10629.793006 胜率：62.22%\n", "000065.SZ.csv: 9923.795999999998 胜率：60.87%\n", "000066.SZ.csv: 10592.274 胜率：61.70%\n", "000068.SZ.csv: 10040.412 胜率：62.50%\n", "000069.SZ.csv: 9968.894 胜率：61.22%\n", "000070.SZ.csv: 10124.1 胜率：62.00%\n", "000078.SZ.csv: 9959.516 胜率：60.78%\n", "000088.SZ.csv: 9953.975999999999 胜率：59.62%\n", "000089.SZ.csv: 10026.226 胜率：60.38%\n", "000090.SZ.csv: 9917.309244 胜率：59.26%\n", "000096.SZ.csv: 10045.015344 胜率：60.00%\n", "000099.SZ.csv: 10584.068 胜率：60.71%\n", "000100.SZ.csv: 10023.042 胜率：61.40%\n", "000151.SZ.csv: 10330.771999999999 胜率：62.07%\n", "000153.SZ.csv: 10004.454765999999 胜率：62.71%\n", "000155.SZ.csv: 9694.358286 胜率：61.67%\n", "000156.SZ.csv: 10079.825206000001 胜率：62.30%\n", "000157.SZ.csv: 10008.574 胜率：62.90%\n", "000158.SZ.csv: 11604.982 胜率：63.49%\n", "000159.SZ.csv: 10019.555999999999 胜率：64.06%\n", "000166.SZ.csv: 9985.224348 胜率：63.08%\n", "000301.SZ.csv: 9962.286 胜率：62.12%\n", "000333.SZ.csv: 10549.185999999998 胜率：62.69%\n", "000338.SZ.csv: 9928.012026 胜率：61.76%\n", "000400.SZ.csv: 9674.79219 胜率：60.87%\n", "000401.SZ.csv: 10067.266 胜率：61.43%\n", "000402.SZ.csv: 9995.242000000002 胜率：60.56%\n", "000403.SZ.csv: 9811.777565999999 胜率：59.72%\n", "000404.SZ.csv: 10133.79 胜率：60.27%\n", "000407.SZ.csv: 10037.867925999999 胜率：60.81%\n", "000408.SZ.csv: 10345.912 胜率：61.33%\n", "000409.SZ.csv: 10005.232 胜率：61.84%\n", "000410.SZ.csv: 9993.762 胜率：61.04%\n", "000411.SZ.csv: 9904.991999999998 胜率：60.26%\n", "000413.SZ.csv: 10000.0 胜率：59.49%\n", "000415.SZ.csv: 10084.454 胜率：60.00%\n", "000416.SZ.csv: 10000.0 胜率：59.26%\n", "000417.SZ.csv: 10136.938234 胜率：59.76%\n", "000419.SZ.csv: 10085.181413999999 胜率：60.24%\n", "000420.SZ.csv: 10046.372 胜率：60.71%\n", "000421.SZ.csv: 9690.21013 胜率：60.00%\n", "000422.SZ.csv: 10234.994044000001 胜率：60.47%\n", "000423.SZ.csv: 10300.08 胜率：60.92%\n", "000425.SZ.csv: 9984.916 胜率：60.23%\n", "000426.SZ.csv: 10032.916 胜率：60.67%\n", "000428.SZ.csv: 9943.984 胜率：60.00%\n", "000429.SZ.csv: 10290.646 胜率：60.44%\n", "000430.SZ.csv: 9848.46 胜率：59.78%\n", "000488.SZ.csv: 9837.72 胜率：59.14%\n", "000498.SZ.csv: 10015.545607999999 胜率：59.57%\n", "000501.SZ.csv: 10257.867360000002 胜率：60.00%\n", "000503.SZ.csv: 10456.184 胜率：60.42%\n", "000504.SZ.csv: 10000.064 胜率：60.82%\n", "000505.SZ.csv: 10004.096119999998 胜率：61.22%\n", "000506.SZ.csv: 10264.736 胜率：61.62%\n", "000507.SZ.csv: 9953.265153999999 胜率：61.00%\n", "000509.SZ.csv: 9990.326000000001 胜率：60.40%\n", "000510.SZ.csv: 10076.68 胜率：60.78%\n", "000513.SZ.csv: 9419.782 胜率：60.19%\n", "000514.SZ.csv: 10097.117354 胜率：60.58%\n", "000516.SZ.csv: 9925.798 胜率：60.00%\n", "000517.SZ.csv: 9962.032136 胜率：59.43%\n", "000518.SZ.csv: 10005.790000000003 胜率：59.81%\n", "000519.SZ.csv: 9725.471074000001 胜率：59.26%\n", "000520.SZ.csv: 10198.524 胜率：59.63%\n", "000521.SZ.csv: 9983.712 胜率：59.09%\n", "000523.SZ.csv: 9956.114000000001 胜率：58.56%\n", "000524.SZ.csv: 9843.39 胜率：58.04%\n", "000525.SZ.csv: 10025.091978 胜率：58.41%\n", "000526.SZ.csv: 7486.533999999998 胜率：57.89%\n", "000528.SZ.csv: 10035.483999999999 胜率：58.26%\n", "000529.SZ.csv: 9973.151346 胜率：57.76%\n", "000530.SZ.csv: 10112.763794000002 胜率：58.12%\n", "000531.SZ.csv: 9922.603352 胜率：57.63%\n", "000532.SZ.csv: 9350.934438000002 胜率：57.14%\n", "000533.SZ.csv: 10218.862000000001 胜率：57.50%\n", "000534.SZ.csv: 10023.382952 胜率：57.85%\n", "000536.SZ.csv: 10217.554 胜率：58.20%\n", "000537.SZ.csv: 9815.95912 胜率：57.72%\n", "000538.SZ.csv: 9804.412686 胜率：57.26%\n", "000539.SZ.csv: 9980.099999999999 胜率：56.80%\n", "000541.SZ.csv: 10108.98 胜率：57.14%\n", "000543.SZ.csv: 9978.000104 胜率：56.69%\n", "000544.SZ.csv: 9999.462 胜率：56.25%\n", "000545.SZ.csv: 9971.752 胜率：55.81%\n", "000546.SZ.csv: 10045.054 胜率：56.15%\n", "000547.SZ.csv: 9873.253999999999 胜率：55.73%\n", "000548.SZ.csv: 9966.549856 胜率：55.30%\n", "000550.SZ.csv: 9229.768 胜率：54.89%\n", "000551.SZ.csv: 9921.066124 胜率：54.48%\n", "000552.SZ.csv: 10027.166067999999 胜率：54.81%\n", "000553.SZ.csv: 10062.572 胜率：55.15%\n", "000554.SZ.csv: 9918.149696 胜率：54.74%\n", "000555.SZ.csv: 10124.012 胜率：55.07%\n", "000557.SZ.csv: 9969.593999999997 胜率：54.68%\n", "000558.SZ.csv: 10112.544 胜率：55.00%\n", "000559.SZ.csv: 10131.034 胜率：55.32%\n", "000560.SZ.csv: 9959.742 胜率：54.93%\n", "000561.SZ.csv: 10188.310688 胜率：55.24%\n", "000563.SZ.csv: 10028.951442 胜率：55.56%\n", "000564.SZ.csv: 10134.898000000001 胜率：55.86%\n", "000565.SZ.csv: 10081.564304 胜率：56.16%\n", "000566.SZ.csv: 10136.924 胜率：56.46%\n", "000567.SZ.csv: 9863.413636 胜率：56.08%\n", "000568.SZ.csv: 10000.0 胜率：55.70%\n", "000570.SZ.csv: 10024.189465999998 胜率：56.00%\n", "000571.SZ.csv: 10013.488 胜率：56.29%\n", "000572.SZ.csv: 9999.936000000002 胜率：55.92%\n", "000573.SZ.csv: 10018.062431999999 胜率：56.21%\n", "000576.SZ.csv: 10025.696 胜率：56.49%\n", "000581.SZ.csv: 10113.976034 胜率：56.77%\n", "000582.SZ.csv: 9917.368174 胜率：56.41%\n", "000584.SZ.csv: 10102.571999999998 胜率：56.69%\n", "000586.SZ.csv: 10190.484 胜率：56.96%\n", "000589.SZ.csv: 9942.371324000002 胜率：56.60%\n", "000590.SZ.csv: 10022.07 胜率：56.88%\n", "000591.SZ.csv: 9958.528344 胜率：56.52%\n", "000592.SZ.csv: 10135.698 胜率：56.79%\n", "000593.SZ.csv: 10002.89 胜率：57.06%\n", "000595.SZ.csv: 10417.583999999999 胜率：57.32%\n", "000596.SZ.csv: 10000.0 胜率：56.97%\n", "000597.SZ.csv: 9890.083999999999 胜率：56.63%\n", "000598.SZ.csv: 9949.529999999999 胜率：56.29%\n", "000599.SZ.csv: 10093.341999999999 胜率：56.55%\n", "000600.SZ.csv: 10069.008 胜率：56.80%\n", "000601.SZ.csv: 9989.712000000001 胜率：56.47%\n", "000603.SZ.csv: 9861.806 胜率：56.14%\n", "000605.SZ.csv: 10149.39684 胜率：56.40%\n", "000607.SZ.csv: 10066.392 胜率：56.65%\n", "000608.SZ.csv: 10060.962 胜率：56.90%\n", "000609.SZ.csv: 10011.726 胜率：57.14%\n", "000610.SZ.csv: 9939.152 胜率：56.82%\n", "000612.SZ.csv: 9948.210000000001 胜率：56.50%\n", "000615.SZ.csv: 10179.586 胜率：56.74%\n", "000617.SZ.csv: 10023.31082 胜率：56.98%\n", "000619.SZ.csv: 10143.242 胜率：57.22%\n", "000620.SZ.csv: 10048.66 胜率：57.46%\n", "000622.SZ.csv: 9993.894 胜率：57.14%\n", "000623.SZ.csv: 10126.759334 胜率：57.38%\n", "000625.SZ.csv: 9805.906 胜率：57.07%\n", "000626.SZ.csv: 10055.026 胜率：57.30%\n", "000627.SZ.csv: 10268.604 胜率：57.53%\n", "000628.SZ.csv: 11299.564 胜率：57.75%\n", "000629.SZ.csv: 9992.41 胜率：57.45%\n", "000630.SZ.csv: 9928.154 胜率：57.14%\n", "000631.SZ.csv: 9989.113481999999 胜率：56.84%\n", "000632.SZ.csv: 10036.834 胜率：57.07%\n", "000633.SZ.csv: 9881.992 胜率：56.77%\n", "000635.SZ.csv: 10129.346 胜率：56.99%\n", "000636.SZ.csv: 10064.014648000002 胜率：57.22%\n", "000637.SZ.csv: 9981.916 胜率：56.92%\n", "000638.SZ.csv: 10119.308 胜率：57.14%\n", "000639.SZ.csv: 10029.170000000002 胜率：57.36%\n", "000650.SZ.csv: 9970.59 胜率：57.07%\n", "000651.SZ.csv: 10315.551818 胜率：57.29%\n", "000652.SZ.csv: 10084.486948 胜率：57.50%\n", "000655.SZ.csv: 9845.633978 胜率：57.21%\n", "000656.SZ.csv: 10012.21 胜率：57.43%\n", "000657.SZ.csv: 10026.204 胜率：57.64%\n", "000659.SZ.csv: 10078.832 胜率：57.84%\n", "000661.SZ.csv: 10000.0 胜率：57.56%\n", "000663.SZ.csv: 10092.106 胜率：57.77%\n", "000665.SZ.csv: 10084.25 胜率：57.97%\n", "000668.SZ.csv: 9947.782000000001 胜率：57.69%\n", "000669.SZ.csv: 10064.112 胜率：57.89%\n", "000670.SZ.csv: 10261.096000000001 胜率：58.10%\n", "000672.SZ.csv: 9948.348000000002 胜率：57.82%\n", "000676.SZ.csv: 10298.057999999999 胜率：58.02%\n", "000677.SZ.csv: 10120.478 胜率：58.22%\n", "000678.SZ.csv: 10195.09 胜率：58.41%\n", "000679.SZ.csv: 10343.38 胜率：58.60%\n", "000680.SZ.csv: 10185.859836 胜率：58.80%\n", "000681.SZ.csv: 10749.34 胜率：58.99%\n", "000682.SZ.csv: 9818.675438 胜率：58.72%\n", "000683.SZ.csv: 9957.660000000002 胜率：58.45%\n", "000685.SZ.csv: 10180.518 胜率：58.64%\n", "000686.SZ.csv: 10209.834 胜率：58.82%\n", "000688.SZ.csv: 9868.364 胜率：58.56%\n", "000690.SZ.csv: 10000.106 胜率：58.74%\n", "000691.SZ.csv: 9911.324000000002 胜率：58.48%\n", "000692.SZ.csv: 10039.212000000001 胜率：58.67%\n", "000695.SZ.csv: 9838.672 胜率：58.41%\n", "000697.SZ.csv: 10233.704 胜率：58.59%\n", "000698.SZ.csv: 9905.56 胜率：58.33%\n", "000700.SZ.csv: 10105.154639999999 胜率：58.52%\n", "000701.SZ.csv: 9987.686 胜率：58.26%\n", "000702.SZ.csv: 10047.932000000003 胜率：58.44%\n", "000703.SZ.csv: 9926.516394 胜率：58.19%\n", "000705.SZ.csv: 9729.904212000001 胜率：57.94%\n", "000707.SZ.csv: 9956.119948000001 胜率：57.69%\n", "000708.SZ.csv: 9896.074 胜率：57.45%\n", "000709.SZ.csv: 10000.56 胜率：57.63%\n", "000710.SZ.csv: 9795.754 胜率：57.38%\n", "000711.SZ.csv: 9980.954 胜率：57.14%\n", "000712.SZ.csv: 10154.066 胜率：57.32%\n", "000713.SZ.csv: 10110.666000000001 胜率：57.50%\n", "000715.SZ.csv: 10181.976 胜率：57.68%\n", "000716.SZ.csv: 10140.530926000001 胜率：57.85%\n", "000717.SZ.csv: 10076.61 胜率：58.02%\n", "000718.SZ.csv: 10033.357070000002 胜率：58.20%\n", "000719.SZ.csv: 9876.712000000001 胜率：57.96%\n", "000720.SZ.csv: 10054.824 胜率：58.13%\n", "000721.SZ.csv: 9894.384 胜率：57.89%\n", "000722.SZ.csv: 9954.99 胜率：57.66%\n", "000723.SZ.csv: 9918.99 胜率：57.43%\n", "000725.SZ.csv: 9951.538000000002 胜率：57.20%\n", "000726.SZ.csv: 9933.496974000002 胜率：56.97%\n", "000727.SZ.csv: 10040.526 胜率：57.14%\n", "000728.SZ.csv: 10145.937908000002 胜率：57.31%\n", "000729.SZ.csv: 10155.202000000001 胜率：57.48%\n", "000731.SZ.csv: 10062.922432 胜率：57.65%\n", "000733.SZ.csv: 10086.956 胜率：57.81%\n", "000735.SZ.csv: 10078.261758 胜率：57.98%\n", "000736.SZ.csv: 9778.838 胜率：57.75%\n", "000737.SZ.csv: 9933.310000000001 胜率：57.53%\n", "000738.SZ.csv: 9764.186 胜率：57.31%\n", "000739.SZ.csv: 10084.792975999999 胜率：57.47%\n", "000750.SZ.csv: 10124.390044 胜率：57.63%\n", "000751.SZ.csv: 9999.364854 胜率：57.41%\n", "000752.SZ.csv: 10105.894 胜率：57.58%\n", "000753.SZ.csv: 10117.279942 胜率：57.74%\n", "000755.SZ.csv: 9968.318 胜率：57.52%\n", "000756.SZ.csv: 9575.61717 胜率：57.30%\n", "000757.SZ.csv: 10064.384 胜率：57.46%\n", "000758.SZ.csv: 9969.972 胜率：57.25%\n", "000759.SZ.csv: 10812.033999999998 胜率：57.41%\n", "000761.SZ.csv: 9985.710000000001 胜率：57.20%\n", "000762.SZ.csv: 10361.796 胜率：57.35%\n", "000766.SZ.csv: 9498.469999999998 胜率：57.14%\n", "000767.SZ.csv: 9973.442 胜率：56.93%\n", "000768.SZ.csv: 9777.064 胜率：56.73%\n", "000776.SZ.csv: 10383.410435999998 胜率：56.88%\n", "000777.SZ.csv: 10117.625262000001 胜率：57.04%\n", "000778.SZ.csv: 9957.016000000001 胜率：56.83%\n", "000779.SZ.csv: 9989.946676 胜率：56.63%\n", "000782.SZ.csv: 9932.398 胜率：56.43%\n", "000783.SZ.csv: 10160.014 胜率：56.58%\n", "000785.SZ.csv: 9998.118801999999 胜率：56.38%\n", "000786.SZ.csv: 9721.864 胜率：56.18%\n", 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9631.919772000003 胜率：57.66%\n", "301038.SZ.csv: 10357.672 胜率：57.68%\n", "301039.SZ.csv: 10133.344902 胜率：57.70%\n", "301040.SZ.csv: 10245.284 胜率：57.71%\n", "301041.SZ.csv: 9732.363115999999 胜率：57.69%\n", "301042.SZ.csv: 10217.11473 胜率：57.71%\n", "301043.SZ.csv: 9711.625142 胜率：57.68%\n", "301045.SZ.csv: 9280.597978000003 胜率：57.66%\n", "301046.SZ.csv: 9813.080372 胜率：57.64%\n", "301047.SZ.csv: 9355.046 胜率：57.62%\n", "301048.SZ.csv: 9901.832218 胜率：57.59%\n", "301049.SZ.csv: 10235.224000000002 胜率：57.61%\n", "301050.SZ.csv: 9526.847695999997 胜率：57.59%\n", "301051.SZ.csv: 10310.358 胜率：57.60%\n", "301052.SZ.csv: 10569.478 胜率：57.62%\n", "301053.SZ.csv: 9413.291109999998 胜率：57.60%\n", "301055.SZ.csv: 10269.858000000002 胜率：57.61%\n", "301056.SZ.csv: 9934.964404 胜率：57.59%\n", "301057.SZ.csv: 9990.847854 胜率：57.57%\n", "301058.SZ.csv: 9901.236169999998 胜率：57.55%\n", "301059.SZ.csv: 10140.674716 胜率：57.56%\n", "301060.SZ.csv: 9716.216 胜率：57.54%\n", "301061.SZ.csv: 10527.628558 胜率：57.56%\n", "301062.SZ.csv: 10086.518000000002 胜率：57.57%\n", "301063.SZ.csv: 9662.398761999999 胜率：57.55%\n", "301065.SZ.csv: 9313.171562 胜率：57.53%\n", "301066.SZ.csv: 10330.909368 胜率：57.54%\n", "301067.SZ.csv: 10233.282000000001 胜率：57.56%\n", "301068.SZ.csv: 10707.326 胜率：57.58%\n", "301069.SZ.csv: 9549.079015999998 胜率：57.56%\n", "301070.SZ.csv: 10733.826000000001 胜率：57.57%\n", "301071.SZ.csv: 10808.841926 胜率：57.59%\n", "301072.SZ.csv: 9198.447221999999 胜率：57.57%\n", "301073.SZ.csv: 9579.996 胜率：57.54%\n", "301075.SZ.csv: 9133.241493999998 胜率：57.52%\n", "301076.SZ.csv: 11175.174 胜率：57.54%\n", "301077.SZ.csv: 10305.314658000001 胜率：57.55%\n", "301078.SZ.csv: 10576.487216 胜率：57.57%\n", "301079.SZ.csv: 9545.989774000001 胜率：57.55%\n", "301080.SZ.csv: 9265.927166 胜率：57.53%\n", "301081.SZ.csv: 9961.011117999999 胜率：57.50%\n", "301082.SZ.csv: 10327.221412 胜率：57.52%\n", "301083.SZ.csv: 9918.366858 胜率：57.50%\n", "301085.SZ.csv: 12632.568 胜率：57.51%\n", "301086.SZ.csv: 9801.93829 胜率：57.49%\n", "301087.SZ.csv: 9706.654694 胜率：57.47%\n", "301088.SZ.csv: 10148.790262 胜率：57.49%\n", "301089.SZ.csv: 9363.965999999999 胜率：57.46%\n", "301090.SZ.csv: 10063.212000000001 胜率：57.48%\n", "301091.SZ.csv: 11457.856 胜率：57.50%\n", "301092.SZ.csv: 9890.124 胜率：57.47%\n", "301093.SZ.csv: 10287.392 胜率：57.49%\n", "301095.SZ.csv: 10480.842 胜率：57.51%\n", "301096.SZ.csv: 9795.74 胜率：57.48%\n", "301097.SZ.csv: 9481.923999999999 胜率：57.46%\n", "301098.SZ.csv: 9918.828322 胜率：57.44%\n", "301099.SZ.csv: 9901.563872 胜率：57.42%\n", "301100.SZ.csv: 9373.0514 胜率：57.39%\n", "301101.SZ.csv: 10950.948 胜率：57.41%\n", "301102.SZ.csv: 10134.086 胜率：57.43%\n", "301103.SZ.csv: 9728.20844 胜率：57.41%\n", "301105.SZ.csv: 9261.652 胜率：57.38%\n", "301106.SZ.csv: 9459.516784000003 胜率：57.36%\n", "301107.SZ.csv: 9495.6595 胜率：57.34%\n", "301108.SZ.csv: 9962.993462 胜率：57.32%\n", "301109.SZ.csv: 9771.214 胜率：57.29%\n", "301110.SZ.csv: 12539.841011999999 胜率：57.31%\n" ] }, { "ename": "KeyboardInterrupt", "evalue": "", "output_type": "error", "traceback": [ "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", "\u001B[1;31mKeyboardInterrupt\u001B[0m Traceback (most recent call last)", "Cell \u001B[1;32mIn[63], line 6\u001B[0m\n\u001B[0;32m 4\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m name \u001B[38;5;129;01min\u001B[39;00m os\u001B[38;5;241m.\u001B[39mlistdir(os\u001B[38;5;241m.\u001B[39mpath\u001B[38;5;241m.\u001B[39mjoin(root_path, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m日线行情 1990-2024\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m分组行情\u001B[39m\u001B[38;5;124m\"\u001B[39m)):\n\u001B[0;32m 5\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m name\u001B[38;5;241m.\u001B[39mendswith(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mSZ.csv\u001B[39m\u001B[38;5;124m\"\u001B[39m):\n\u001B[1;32m----> 6\u001B[0m stock_df \u001B[38;5;241m=\u001B[39m \u001B[43mload_stock\u001B[49m\u001B[43m(\u001B[49m\u001B[43mname\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mreplace\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43m.csv\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 7\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m stock_df\u001B[38;5;241m.\u001B[39mempty:\n\u001B[0;32m 8\u001B[0m \u001B[38;5;28;01mcontinue\u001B[39;00m\n", "Cell \u001B[1;32mIn[48], line 2\u001B[0m, in \u001B[0;36mload_stock\u001B[1;34m(code)\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;21mload_stock\u001B[39m(code):\n\u001B[1;32m----> 2\u001B[0m source_df \u001B[38;5;241m=\u001B[39m \u001B[43mpd\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mread_csv\u001B[49m\u001B[43m(\u001B[49m\u001B[43mos\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpath\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mjoin\u001B[49m\u001B[43m(\u001B[49m\u001B[43mroot_path\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43m日线行情 1990-2024\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43m分组行情\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43mf\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;132;43;01m{\u001B[39;49;00m\u001B[43mcode\u001B[49m\u001B[38;5;132;43;01m}\u001B[39;49;00m\u001B[38;5;124;43m.csv\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m \\\n\u001B[0;32m 3\u001B[0m 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kwds[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhas_index_names\u001B[39m\u001B[38;5;124m\"\u001B[39m]\n\u001B[0;32m 1619\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mhandles: IOHandles \u001B[38;5;241m|\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[1;32m-> 1620\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_engine \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_make_engine\u001B[49m\u001B[43m(\u001B[49m\u001B[43mf\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mengine\u001B[49m\u001B[43m)\u001B[49m\n", "File \u001B[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\finance-xaAHQYW0-py3.12\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1898\u001B[0m, in \u001B[0;36mTextFileReader._make_engine\u001B[1;34m(self, f, engine)\u001B[0m\n\u001B[0;32m 1895\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(msg)\n\u001B[0;32m 1897\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m-> 1898\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mmapping\u001B[49m\u001B[43m[\u001B[49m\u001B[43mengine\u001B[49m\u001B[43m]\u001B[49m\u001B[43m(\u001B[49m\u001B[43mf\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43moptions\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 1899\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mException\u001B[39;00m:\n\u001B[0;32m 1900\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mhandles \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n", "File \u001B[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\finance-xaAHQYW0-py3.12\\Lib\\site-packages\\pandas\\io\\parsers\\c_parser_wrapper.py:93\u001B[0m, in \u001B[0;36mCParserWrapper.__init__\u001B[1;34m(self, src, **kwds)\u001B[0m\n\u001B[0;32m 90\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m kwds[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdtype_backend\u001B[39m\u001B[38;5;124m\"\u001B[39m] \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpyarrow\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[0;32m 91\u001B[0m \u001B[38;5;66;03m# Fail here loudly instead of in cython after reading\u001B[39;00m\n\u001B[0;32m 92\u001B[0m import_optional_dependency(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpyarrow\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m---> 93\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_reader \u001B[38;5;241m=\u001B[39m 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\u001B[0;36mpandas._libs.parsers.TextReader._tokenize_rows\u001B[1;34m()\u001B[0m\n", "File \u001B[1;32mparsers.pyx:891\u001B[0m, in \u001B[0;36mpandas._libs.parsers.TextReader._check_tokenize_status\u001B[1;34m()\u001B[0m\n", "File \u001B[1;32mparsers.pyx:2053\u001B[0m, in \u001B[0;36mpandas._libs.parsers.raise_parser_error\u001B[1;34m()\u001B[0m\n", "File \u001B[1;32m:319\u001B[0m, in \u001B[0;36mdecode\u001B[1;34m(self, input, final)\u001B[0m\n", "\u001B[1;31mKeyboardInterrupt\u001B[0m: " ] } ], "execution_count": 63 } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }