From 5dcc00d9b26ce3f860135494c26a7c12961544d9 Mon Sep 17 00:00:00 2001 From: lanyuanxiaoyao Date: Fri, 21 Feb 2025 11:56:28 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=AD=A3MACD=E7=AD=96=E7=95=A5?= =?UTF-8?q?=E5=8F=82=E6=95=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- poetry.lock | 299 ++--- 回测/backtesting.ipynb | 2844 +++------------------------------------- 2 files changed, 360 insertions(+), 2783 deletions(-) diff --git a/poetry.lock b/poetry.lock index eaa0323..c192332 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. [[package]] name = "akracer" @@ -15,14 +15,14 @@ files = [ [[package]] name = "akshare" -version = "1.16.5" +version = "1.16.8" description = "AKShare is an elegant and simple financial data interface library for Python, built for human beings!" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "akshare-1.16.5-py3-none-any.whl", hash = "sha256:6d1c6fe123c65977c7040344c46eb23c3e008e947bd7d99e52d5f608e9a9fc66"}, - {file = "akshare-1.16.5.tar.gz", hash = "sha256:1d33c8d664e2d3cc40ec9db84b536826bdcedb1779685d34baab4bf0b280aac1"}, + {file = "akshare-1.16.8-py3-none-any.whl", hash = "sha256:69d80120195c1625697fdda9f6068902b5cdf46c8f19e1c0449f25568f34d250"}, + {file = "akshare-1.16.8.tar.gz", hash = "sha256:19853e63cd8dc686de20cbf6314e83a8d03cbf851ca64472ba26cf86c553705d"}, ] [package.dependencies] @@ -65,7 +65,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] doc = ["Sphinx (>=7.4,<8.0)", "packaging", 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"pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "simplejson" @@ -3537,7 +3524,7 @@ files = [ ] [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] diff --git a/回测/backtesting.ipynb b/回测/backtesting.ipynb index 81976c1..5a92935 100644 --- a/回测/backtesting.ipynb +++ b/回测/backtesting.ipynb @@ -6,27 +6,28 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2025-02-19T14:44:47.980877Z", - "start_time": "2025-02-19T14:44:47.977369Z" + "end_time": "2025-02-21T03:15:40.259079Z", + "start_time": "2025-02-21T03:15:40.254285Z" } }, "source": [ - "import pandas as pd\n", - "import platform\n", "import os\n", + "import platform\n", + "\n", + "import pandas as pd\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 + "execution_count": 83 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-19T14:44:48.019179Z", - "start_time": "2025-02-19T14:44:48.014177Z" + "end_time": "2025-02-21T03:15:40.299604Z", + "start_time": "2025-02-21T03:15:40.295742Z" } }, "cell_type": "code", @@ -46,26 +47,26 @@ ], "id": "414a7a0a199096a2", "outputs": [], - "execution_count": 48 + "execution_count": 84 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-19T14:44:48.086771Z", - "start_time": "2025-02-19T14:44:48.043313Z" + "end_time": "2025-02-21T03:15:40.394509Z", + "start_time": "2025-02-21T03:15:40.304999Z" } }, "cell_type": "code", "source": "df = load_stock(\"000001.SZ\")", "id": "bdcc7bfcec324577", "outputs": [], - "execution_count": 49 + "execution_count": 85 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-19T14:44:48.094953Z", - "start_time": "2025-02-19T14:44:48.090778Z" + "end_time": "2025-02-21T03:15:40.423569Z", + "start_time": "2025-02-21T03:15:40.417310Z" } }, "cell_type": "code", @@ -123,13 +124,13 @@ ], "id": "f6e932667ad314ff", "outputs": [], - "execution_count": 50 + "execution_count": 86 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-19T14:44:48.110292Z", - "start_time": "2025-02-19T14:44:48.106357Z" + "end_time": "2025-02-21T03:23:42.886623Z", + "start_time": "2025-02-21T03:23:42.881086Z" } }, "cell_type": "code", @@ -141,26 +142,27 @@ "\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", + " self.dif, self.dea, 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", + " curr_dif = self.dif[-1]\n", + " curr_dea = self.dea[-1]\n", + " curr_macd = self.macd[-1]\n", + " if crossover(self.dif, self.dea) and curr_macd > 0 and (curr_dif > curr_macd and curr_dea > curr_macd):\n", + " self.buy(size=100)\n", " elif crossover(self.dea, self.dif):\n", - " print(\"sell\")\n", - " self.position.close()" + " if self.position.size > 0:\n", + " self.position.close()" ], "id": "1b47368c3b916b9b", "outputs": [], - "execution_count": 51 + "execution_count": 94 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-19T14:44:48.126801Z", - "start_time": "2025-02-19T14:44:48.121801Z" + "end_time": "2025-02-21T03:15:40.473207Z", + "start_time": "2025-02-21T03:15:40.468715Z" } }, "cell_type": "code", @@ -174,24 +176,25 @@ " 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()" + " if self.position.size > 0:\n", + " self.position.close()" ], "id": "85da7018d63adc0", "outputs": [], - "execution_count": 52 + "execution_count": 88 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-19T14:52:01.326524Z", - "start_time": "2025-02-19T14:52:01.155798Z" + "end_time": "2025-02-21T03:23:45.326016Z", + "start_time": "2025-02-21T03:23:44.841258Z" } }, "cell_type": "code", "source": [ "from backtesting import Backtest\n", "\n", - "bt = Backtest(df, SMAStrategy, cash=10000, commission=.002, trade_on_close=True)\n", + "bt = Backtest(df, MACDStrategy, cash=10000, commission=.002, trade_on_close=True)\n", "result = bt.run()\n", "print(result.iloc[4])\n", "bt.plot()" @@ -202,14 +205,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "9824.765695999999\n" + "10008.226826000002\n" ] }, { "data": { "text/html": [ "\n", - "
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(max - min) * .03 : 0;\\n range.start = min - pad;\\n range.end = max + pad;\\n } else console.error('backtesting: scale range error:', min, max, range);\\n };\\n}\\n\\nclearTimeout(window._bt_autoscale_timeout);\\n\\nwindow._bt_autoscale_timeout = setTimeout(function () {\\n /**\\n * @variable cb_obj `fig_ohlc.x_range`.\\n * @variable source `ColumnDataSource`\\n * @variable ohlc_range `fig_ohlc.y_range`.\\n * @variable volume_range `fig_volume.y_range`.\\n */\\n \\\"use strict\\\";\\n\\n let i = Math.max(Math.floor(cb_obj.start), 0),\\n j = Math.min(Math.ceil(cb_obj.end), source.data['ohlc_high'].length);\\n\\n let max = Math.max.apply(null, source.data['ohlc_high'].slice(i, j)),\\n min = Math.min.apply(null, source.data['ohlc_low'].slice(i, j));\\n _bt_scale_range(ohlc_range, min, max, true);\\n\\n if (volume_range) {\\n max = Math.max.apply(null, source.data['Volume'].slice(i, j));\\n _bt_scale_range(volume_range, 0, max * 1.03, false);\\n }\\n\\n}, 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\n", "\n" ] }, - "execution_count": 56, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 56 + "execution_count": 95 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-19T15:01:49.262777Z", - "start_time": "2025-02-19T14:55:44.559148Z" + "end_time": "2025-02-21T03:15:24.196237Z", + "start_time": "2025-02-21T03:15:09.989176Z" } }, "cell_type": "code", @@ -273,9 +276,9 @@ "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", + " if stock_df.empty or stock_df.size < 1000:\n", " continue\n", - " bt = Backtest(stock_df, SMAStrategy, cash=10000, commission=.002, trade_on_close=True)\n", + " bt = Backtest(stock_df, MACDStrategy, cash=10000, commission=.002, trade_on_close=True)\n", " result = bt.run()\n", " count += 1\n", " final = result.iloc[4]\n", @@ -289,2571 +292,167 @@ "name": 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9807.006 胜率：36.36%\n", + "301239.SZ.csv: 11019.801569999998 胜率：37.18%\n", + "002144.SZ.csv: 10778.951788000004 胜率：37.97%\n", + "002615.SZ.csv: 9889.889564000001 胜率：37.50%\n", + "301468.SZ.csv: 9846.74 胜率：37.04%\n", + "301339.SZ.csv: 9535.735184 胜率：36.59%\n", + "002044.SZ.csv: 11152.365348000005 胜率：37.35%\n", + "002715.SZ.csv: 10430.780532000004 胜率：38.10%\n", + "300966.SZ.csv: 9890.578855999998 胜率：37.65%\n", + "300866.SZ.csv: 11812.275567999995 胜率：38.37%\n", + "300022.SZ.csv: 10363.765635999996 胜率：39.08%\n", + "301515.SZ.csv: 9783.928726000002 胜率：38.64%\n", + "300773.SZ.csv: 9466.590149999998 胜率：38.20%\n", + "300295.SZ.csv: 10939.342843999999 胜率：38.89%\n", + "002139.SZ.csv: 9453.461012000002 胜率：38.46%\n", + "002668.SZ.csv: 11227.651740000001 胜率：39.13%\n", + "300122.SZ.csv: 13784.496112000006 胜率：39.78%\n", + "300673.SZ.csv: 8973.484199999994 胜率：39.36%\n", + "002039.SZ.csv: 9494.157394000002 胜率：38.95%\n", + "002768.SZ.csv: 7782.210227999998 胜率：38.54%\n", + "300395.SZ.csv: 9365.419239999988 胜率：38.14%\n", + "300933.SZ.csv: 9487.828085999998 胜率：37.76%\n", + "002828.SZ.csv: 8358.072293999998 胜率：37.37%\n", + "000517.SZ.csv: 10041.592438000001 胜率：38.00%\n", + "300833.SZ.csv: 9470.562539999997 胜率：37.62%\n", + "002928.SZ.csv: 9542.208591999997 胜率：37.25%\n", + "000417.SZ.csv: 10067.213900000002 胜率：37.86%\n", + "301211.SZ.csv: 10972.102878 胜率：38.46%\n", + "300726.SZ.csv: 8425.234223999998 胜率：38.10%\n", + "300077.SZ.csv: 11780.844837999999 胜率：38.68%\n", + "300591.SZ.csv: 9436.061188000001 胜率：38.32%\n", + "301311.SZ.csv: 9945.208452 胜率：37.96%\n", + "300626.SZ.csv: 9386.148637999999 胜率：37.61%\n", + "300177.SZ.csv: 9011.063890000001 胜率：37.27%\n", + "300491.SZ.csv: 10052.257583999997 胜率：37.84%\n", + "002855.SZ.csv: 9245.365823999999 胜率：37.50%\n", + "002955.SZ.csv: 7554.4666499999985 胜率：37.17%\n", + "002640.SZ.csv: 10273.371091999996 胜率：37.72%\n", + "002111.SZ.csv: 8933.251687999998 胜率：37.39%\n", + "002740.SZ.csv: 10135.691998000008 胜率：37.93%\n", + "002011.SZ.csv: 9243.965426000002 胜率：37.61%\n", + "002623.SZ.csv: 13090.688944000001 胜率：38.14%\n", + "002172.SZ.csv: 10509.94092799999 胜率：38.66%\n", + "002494.SZ.csv: 10602.247872000004 胜率：39.17%\n", + "300738.SZ.csv: 9331.140395999997 胜率：38.84%\n", + "300069.SZ.csv: 9889.920100000003 胜率：38.52%\n", + "002723.SZ.csv: 9526.232450000003 胜率：38.21%\n", + "002072.SZ.csv: 11292.011394 胜率：38.71%\n", + "300638.SZ.csv: 11990.929651999993 胜率：39.20%\n", + "300169.SZ.csv: 9745.924591999992 胜率：38.89%\n", + "002594.SZ.csv: 7510.792000000005 胜率：38.58%\n", + "002836.SZ.csv: 9626.417934000005 胜率：38.28%\n", + "000509.SZ.csv: 9872.115722000004 胜率：37.98%\n", + "001289.SZ.csv: 9879.595522000001 胜率：37.69%\n", + "002936.SZ.csv: 9912.525302000002 胜率：37.40%\n", + "000409.SZ.csv: 11377.516533999995 胜率：37.88%\n", + "001389.SZ.csv: 10000.0 胜率：37.59%\n", + "300745.SZ.csv: 9994.81873 胜率：37.31%\n", + "301272.SZ.csv: 9698.32 胜率：37.04%\n", + "300014.SZ.csv: 12071.207913999997 胜率：37.50%\n", + "300645.SZ.csv: 7534.546742000009 胜率：37.23%\n", + "301372.SZ.csv: 9490.588 胜率：36.96%\n", + "300114.SZ.csv: 9445.48086 胜率：36.69%\n", + "300950.SZ.csv: 9559.671058 胜率：36.43%\n", + "300850.SZ.csv: 10161.139240000002 胜率：36.88%\n", + "300821.SZ.csv: 10678.778544 胜率：37.32%\n", + "000505.SZ.csv: 10114.488989999998 胜率：37.76%\n", + "300921.SZ.csv: 8390.758202000005 胜率：37.50%\n", + "300483.SZ.csv: 8274.767106 胜率：37.24%\n", + "300165.SZ.csv: 8940.145671999991 胜率：36.99%\n", + "301303.SZ.csv: 9732.397175999999 胜率：36.73%\n", + "300634.SZ.csv: 8067.565702000003 胜率：36.49%\n", + "002598.SZ.csv: 9403.05394800001 胜率：36.24%\n", + "300583.SZ.csv: 10538.833442000005 胜率：36.67%\n", + "002498.SZ.csv: 9998.372069999996 胜率：36.42%\n", + "300065.SZ.csv: 9539.798432 胜率：36.18%\n", + "301203.SZ.csv: 9954.219616 胜率：35.95%\n", + "002947.SZ.csv: 11105.890109999997 胜率：36.36%\n", + "002847.SZ.csv: 12481.039889999995 胜率：36.77%\n", + "002003.SZ.csv: 9504.926315999994 胜率：36.54%\n", + "002752.SZ.csv: 9859.230991999993 胜率：36.31%\n", + "300118.SZ.csv: 7735.671107999999 胜率：36.08%\n", + "300649.SZ.csv: 8502.335930000003 胜率：35.85%\n", + "002103.SZ.csv: 10666.264657999993 胜率：36.25%\n", + "002652.SZ.csv: 9801.958144000002 胜率：36.02%\n" ] }, { @@ -2861,26 +460,17 @@ "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 [[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtrade_date\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mvol\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mopen_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mclose_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhigh_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mlow_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m]]\n\u001B[0;32m 4\u001B[0m temp_df \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mDataFrame()\n\u001B[0;32m 5\u001B[0m temp_df[[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdate\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mVolume\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mOpen\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mClose\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mHigh\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mLow\u001B[39m\u001B[38;5;124m\"\u001B[39m]] \u001B[38;5;241m=\u001B[39m \\\n\u001B[0;32m 6\u001B[0m source_df[[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtrade_date\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mvol\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mopen_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mclose_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhigh_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mlow_qfq\u001B[39m\u001B[38;5;124m\"\u001B[39m]]\n", - "File \u001B[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\finance-xaAHQYW0-py3.12\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1026\u001B[0m, in \u001B[0;36mread_csv\u001B[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001B[0m\n\u001B[0;32m 1013\u001B[0m kwds_defaults \u001B[38;5;241m=\u001B[39m _refine_defaults_read(\n\u001B[0;32m 1014\u001B[0m dialect,\n\u001B[0;32m 1015\u001B[0m delimiter,\n\u001B[1;32m (...)\u001B[0m\n\u001B[0;32m 1022\u001B[0m dtype_backend\u001B[38;5;241m=\u001B[39mdtype_backend,\n\u001B[0;32m 1023\u001B[0m )\n\u001B[0;32m 1024\u001B[0m kwds\u001B[38;5;241m.\u001B[39mupdate(kwds_defaults)\n\u001B[1;32m-> 1026\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_read\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfilepath_or_buffer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mkwds\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:620\u001B[0m, in \u001B[0;36m_read\u001B[1;34m(filepath_or_buffer, kwds)\u001B[0m\n\u001B[0;32m 617\u001B[0m _validate_names(kwds\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mnames\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;28;01mNone\u001B[39;00m))\n\u001B[0;32m 619\u001B[0m \u001B[38;5;66;03m# Create the parser.\u001B[39;00m\n\u001B[1;32m--> 620\u001B[0m parser \u001B[38;5;241m=\u001B[39m \u001B[43mTextFileReader\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfilepath_or_buffer\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[43mkwds\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 622\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m chunksize \u001B[38;5;129;01mor\u001B[39;00m iterator:\n\u001B[0;32m 623\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m parser\n", - "File \u001B[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\finance-xaAHQYW0-py3.12\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1620\u001B[0m, in \u001B[0;36mTextFileReader.__init__\u001B[1;34m(self, f, engine, **kwds)\u001B[0m\n\u001B[0;32m 1617\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39moptions[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhas_index_names\u001B[39m\u001B[38;5;124m\"\u001B[39m] \u001B[38;5;241m=\u001B[39m 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 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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 \u001B[43mparsers\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mTextReader\u001B[49m\u001B[43m(\u001B[49m\u001B[43msrc\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[43mkwds\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 95\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39munnamed_cols \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_reader\u001B[38;5;241m.\u001B[39munnamed_cols\n\u001B[0;32m 97\u001B[0m \u001B[38;5;66;03m# error: Cannot determine type of 'names'\u001B[39;00m\n", - "File \u001B[1;32mparsers.pyx:574\u001B[0m, in \u001B[0;36mpandas._libs.parsers.TextReader.__cinit__\u001B[1;34m()\u001B[0m\n", - "File 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self._results = compute_stats(\n\u001B[0m\u001B[1;32m 1342\u001B[0m \u001B[0mtrades\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mbroker\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mclosed_trades\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 1343\u001B[0m \u001B[0mequity\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mequity\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 1344\u001B[0m \u001B[0mohlc_data\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_data\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;32m~/Library/Caches/pypoetry/virtualenvs/finance-G8vNaf2C-py3.13/lib/python3.13/site-packages/backtesting/_stats.py\u001B[0m in \u001B[0;36m?\u001B[0;34m(***failed resolving arguments***)\u001B[0m\n\u001B[1;32m 148\u001B[0m \u001B[0;31m# and simple standard 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