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"start_time": "2025-02-23T13:55:26.843343Z" } }, "source": [ + "import math\n", "import os\n", "import platform\n", "\n", @@ -21,13 +22,13 @@ " else \"/Users/lanyuanxiaoyao/SynologyDrive/data/Tushare\"" ], "outputs": [], - "execution_count": 83 + "execution_count": 150 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-21T03:15:40.299604Z", - "start_time": "2025-02-21T03:15:40.295742Z" + "end_time": "2025-02-23T13:55:26.864248Z", + "start_time": "2025-02-23T13:55:26.859869Z" } }, "cell_type": "code", @@ -47,90 +48,26 @@ ], "id": "414a7a0a199096a2", "outputs": [], - "execution_count": 84 + "execution_count": 151 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-21T03:15:40.394509Z", - "start_time": "2025-02-21T03:15:40.304999Z" + "end_time": "2025-02-23T13:55:26.923472Z", + "start_time": "2025-02-23T13:55:26.875905Z" } }, "cell_type": "code", "source": "df = load_stock(\"000001.SZ\")", "id": "bdcc7bfcec324577", "outputs": [], - "execution_count": 85 + "execution_count": 152 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-21T03:15:40.423569Z", - "start_time": "2025-02-21T03:15:40.417310Z" - } - }, - "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": 86 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-02-21T03:23:42.886623Z", - "start_time": "2025-02-21T03:23:42.881086Z" + "end_time": "2025-02-23T13:55:26.939116Z", + "start_time": "2025-02-23T13:55:26.933781Z" } }, "cell_type": "code", @@ -156,13 +93,13 @@ ], "id": "1b47368c3b916b9b", "outputs": [], - "execution_count": 94 + "execution_count": 153 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-21T03:15:40.473207Z", - "start_time": "2025-02-21T03:15:40.468715Z" + "end_time": "2025-02-23T13:55:26.966319Z", + "start_time": "2025-02-23T13:55:26.961967Z" } }, "cell_type": "code", @@ -181,38 +118,418 @@ ], "id": "85da7018d63adc0", "outputs": [], - "execution_count": 88 + "execution_count": 154 + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "class BaseStrategy(Strategy):\n", + " def init(self):\n", + " pass\n", + "\n", + " def next(self):\n", + " pass\n", + "\n", + " @property\n", + " def current_open(self):\n", + " return self.data.Open[-1]\n", + "\n", + " @property\n", + " def current_close(self):\n", + " return self.data.Close[-1]\n", + "\n", + " @property\n", + " def current_high(self):\n", + " return self.data.High[-1]\n", + "\n", + " @property\n", + " def current_low(self):\n", + " return self.data.Low[-1]" + ], + "id": "591e9117c40ef0f2" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "import math\n", + "\n", + "\n", + "class LegendStrategy(BaseStrategy):\n", + " _max_holding_yield_rate = 0\n", + " _go = True\n", + "\n", + " def init(self):\n", + " pass\n", + "\n", + " def next(self):\n", + " current_close = self.data.Close[-1]\n", + " # 持仓成本\n", + " holding_price = 0\n", + " # 持仓收益率\n", + " holding_profit = 0\n", + " # 平仓价格\n", + " close_price = 0\n", + " if len(self.trades) > 0:\n", + " total_trade_size = sum(map(lambda x: x.size, self.trades))\n", + " total_trade_price = sum(map(lambda x: x.size * x.entry_price, self.trades))\n", + " holding_price = total_trade_price / total_trade_size\n", + " holding_profit = (current_close - holding_price) * 100 / holding_price\n", + "\n", + " temp_holding_yield_rate = max(self._max_holding_yield_rate, holding_profi)\n", + "\n", + " if temp_holding_yield_rate < 5:\n", + " close_price = holding_price * 0.95\n", + " elif 5 < temp_holding_yield_rate < 10:\n", + " close_price = holding_price * 1.05\n", + " else:\n", + " if temp_holding_yield_rate > (self._max_holding_yield_rate + 9) // 10 * 10:\n", + " close_price = current_close * 0.95\n", + " else:\n", + " close_price = current_close * 1.05\n", + "\n", + " self._max_holding_yield_rate = temp_holding_yield_rate\n", + "\n", + " print(\n", + " f\"{self.data.index[-1]} 持仓成本：{holding_price:.2f} 持仓收益率：{holding_profi:.2f}% 平仓价格：{close_price:.2f} 现价：{current_close:.2f}\"\n", + " )\n", + "\n", + " if current_close <= close_price:\n", + " self.position.close()\n", + " self._max_holding_yield_rate = 0\n", + " self._go = True\n", + "\n", + " if str(self.data.index[-1]) == \"2024-12-30 00:00:00\":\n", + " self.position.close()\n", + "\n", + " if self._go and abs(current_close - self.data.High[-1]) < 0.01 \\\n", + " and (current_close - self.current_open) / self.current_open > 0.02:\n", + " print('买入')\n", + " self.buy(size=math.floor(1000 / current_close))\n", + " self._go = False\n", + "\n" + ], + "id": "7503872b9cd7a84e" }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-21T03:23:45.326016Z", - "start_time": "2025-02-21T03:23:44.841258Z" + "end_time": "2025-02-23T13:55:28.355317Z", + "start_time": "2025-02-23T13:55:28.184572Z" } }, "cell_type": "code", "source": [ "from backtesting import Backtest\n", "\n", - "bt = Backtest(df, MACDStrategy, cash=10000, commission=.002, trade_on_close=True)\n", + "bt = Backtest(df, LegendStrategy, cash=10000, trade_on_close=False)\n", "result = bt.run()\n", - "print(result.iloc[4])\n", + "\n", + "print(result)\n", + "trades = result[\"_trades\"]\n", + "print(f\"总盈利：{(trades[\"Size\"] * (trades[\"ExitPrice\"] - trades[\"EntryPrice\"])).sum():.2f}\")\n", + "\n", "bt.plot()" ], - "id": "ab574b78805925e5", + "id": "b3b25c83497ad0ef", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "10008.226826000002\n" + "2024-01-03 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.40\n", + "2024-01-04 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.32\n", + "2024-01-05 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.47\n", + "2024-01-08 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.36\n", + "2024-01-09 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.38\n", + "2024-01-10 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.30\n", + "2024-01-11 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.38\n", + "2024-01-12 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.39\n", + "2024-01-15 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.41\n", + "2024-01-16 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.53\n", + "2024-01-17 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.43\n", + "2024-01-18 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.40\n", + "2024-01-19 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.38\n", + "2024-01-22 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.31\n", + "2024-01-23 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.37\n", + "2024-01-24 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.52\n", + "2024-01-25 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.68\n", + "2024-01-26 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.79\n", + "2024-01-29 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.86\n", + "2024-01-30 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.68\n", + "2024-01-31 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.64\n", + "2024-02-01 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.59\n", + "2024-02-02 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.47\n", + "2024-02-05 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.57\n", + "2024-02-06 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：8.84\n", + "买入\n", + "2024-02-07 00:00:00 持仓成本：8.79 持仓收益率：-0.10% 平仓价格：8.35 现价：8.78\n", + "2024-02-08 00:00:00 持仓成本：8.79 持仓收益率：0.52% 平仓价格：8.35 现价：8.83\n", + "2024-02-19 00:00:00 持仓成本：8.79 持仓收益率：1.98% 平仓价格：8.35 现价：8.96\n", + "2024-02-20 00:00:00 持仓成本：8.79 持仓收益率：2.08% 平仓价格：8.35 现价：8.97\n", + "2024-02-21 00:00:00 持仓成本：8.79 持仓收益率：12.27% 平仓价格：9.37 现价：9.86\n", + "2024-02-22 00:00:00 持仓成本：8.79 持仓收益率：13.31% 平仓价格：10.45 现价：9.96\n", + "买入\n", + "2024-02-23 00:00:00 持仓成本：9.94 持仓收益率：-0.28% 平仓价格：9.44 现价：9.91\n", + "2024-02-26 00:00:00 持仓成本：9.94 持仓收益率：-3.22% 平仓价格：9.44 现价：9.62\n", + "2024-02-27 00:00:00 持仓成本：9.94 持仓收益率：-3.49% 平仓价格：9.44 现价：9.59\n", + "2024-02-28 00:00:00 持仓成本：9.94 持仓收益率：-3.58% 平仓价格：9.44 现价：9.58\n", + "2024-02-29 00:00:00 持仓成本：9.94 持仓收益率：-2.67% 平仓价格：9.44 现价：9.67\n", + "2024-03-01 00:00:00 持仓成本：9.94 持仓收益率：-3.58% 平仓价格：9.44 现价：9.58\n", + "2024-03-04 00:00:00 持仓成本：9.94 持仓收益率：-5.06% 平仓价格：9.44 现价：9.44\n", + "2024-03-05 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.53\n", + "2024-03-06 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.44\n", + "2024-03-07 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.48\n", + "2024-03-08 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.48\n", + "2024-03-11 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.56\n", + "2024-03-12 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.65\n", + "2024-03-13 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.44\n", + "2024-03-14 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.34\n", + "2024-03-15 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.68\n", + "2024-03-18 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.63\n", + "2024-03-19 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.50\n", + "2024-03-20 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.54\n", + "2024-03-21 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.56\n", + "2024-03-22 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.46\n", + "2024-03-25 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.50\n", + "2024-03-26 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.68\n", + "2024-03-27 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.62\n", + "2024-03-28 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.58\n", + "2024-03-29 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.61\n", + "2024-04-01 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.72\n", + "2024-04-02 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.64\n", + "2024-04-03 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.55\n", + "2024-04-08 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.53\n", + "2024-04-09 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.50\n", + "2024-04-10 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.39\n", + "2024-04-11 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.36\n", + "2024-04-12 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.19\n", + "2024-04-15 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.40\n", + "2024-04-16 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.39\n", + "2024-04-17 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.70\n", + "买入\n", + "2024-04-18 00:00:00 持仓成本：9.66 持仓收益率：2.08% 平仓价格：9.18 现价：9.86\n", + "2024-04-19 00:00:00 持仓成本：9.66 持仓收益率：1.04% 平仓价格：9.18 现价：9.76\n", + "2024-04-22 00:00:00 持仓成本：9.66 持仓收益率：-0.76% 平仓价格：9.18 现价：9.59\n", + "2024-04-23 00:00:00 持仓成本：9.66 持仓收益率：-0.38% 平仓价格：9.18 现价：9.63\n", + "2024-04-24 00:00:00 持仓成本：9.66 持仓收益率：-0.47% 平仓价格：9.18 现价：9.62\n", + "2024-04-25 00:00:00 持仓成本：9.66 持仓收益率：0.28% 平仓价格：9.18 现价：9.69\n", + "2024-04-26 00:00:00 持仓成本：9.66 持仓收益率：0.19% 平仓价格：9.18 现价：9.68\n", + "2024-04-29 00:00:00 持仓成本：9.66 持仓收益率：2.17% 平仓价格：9.18 现价：9.87\n", + "2024-04-30 00:00:00 持仓成本：9.66 持仓收益率：1.98% 平仓价格：9.18 现价：9.86\n", + "2024-05-06 00:00:00 持仓成本：9.66 持仓收益率：2.93% 平仓价格：9.18 现价：9.95\n", + "2024-05-07 00:00:00 持仓成本：9.66 持仓收益率：2.84% 平仓价格：9.18 现价：9.94\n", + "2024-05-08 00:00:00 持仓成本：9.66 持仓收益率：1.42% 平仓价格：9.18 现价：9.80\n", + "2024-05-09 00:00:00 持仓成本：9.66 持仓收益率：1.70% 平仓价格：9.18 现价：9.83\n", + "2024-05-10 00:00:00 持仓成本：9.66 持仓收益率：3.40% 平仓价格：9.18 现价：9.99\n", + "2024-05-13 00:00:00 持仓成本：9.66 持仓收益率：3.69% 平仓价格：9.18 现价：10.02\n", + "2024-05-14 00:00:00 持仓成本：9.66 持仓收益率：3.12% 平仓价格：9.18 现价：9.96\n", + "2024-05-15 00:00:00 持仓成本：9.66 持仓收益率：2.36% 平仓价格：9.18 现价：9.89\n", + "2024-05-16 00:00:00 持仓成本：9.66 持仓收益率：5.58% 平仓价格：10.15 现价：10.20\n", + "2024-05-17 00:00:00 持仓成本：9.66 持仓收益率：7.94% 平仓价格：10.15 现价：10.43\n", + "2024-05-20 00:00:00 持仓成本：9.66 持仓收益率：7.56% 平仓价格：10.15 现价：10.39\n", + "2024-05-21 00:00:00 持仓成本：9.66 持仓收益率：9.17% 平仓价格：10.15 现价：10.55\n", + "2024-05-22 00:00:00 持仓成本：9.66 持仓收益率：9.26% 平仓价格：10.15 现价：10.56\n", + "2024-05-23 00:00:00 持仓成本：9.66 持仓收益率：7.75% 平仓价格：10.15 现价：10.41\n", + "2024-05-24 00:00:00 持仓成本：9.66 持仓收益率：6.90% 平仓价格：10.15 现价：10.33\n", + "2024-05-27 00:00:00 持仓成本：9.66 持仓收益率：8.79% 平仓价格：10.15 现价：10.51\n", + "2024-05-28 00:00:00 持仓成本：9.66 持仓收益率：7.75% 平仓价格：10.15 现价：10.41\n", + "2024-05-29 00:00:00 持仓成本：9.66 持仓收益率：6.43% 平仓价格：10.15 现价：10.28\n", + "2024-05-30 00:00:00 持仓成本：9.66 持仓收益率：5.10% 平仓价格：10.15 现价：10.16\n", + "2024-05-31 00:00:00 持仓成本：9.66 持仓收益率：5.01% 平仓价格：10.15 现价：10.15\n", + "2024-06-03 00:00:00 持仓成本：9.66 持仓收益率：3.78% 平仓价格：10.15 现价：10.03\n", + "2024-06-04 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：10.07\n", + "2024-06-05 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.93\n", + "2024-06-06 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.96\n", + "2024-06-07 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：10.04\n", + "2024-06-11 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.93\n", + "2024-06-12 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.94\n", + "2024-06-13 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.86\n", + "2024-06-14 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.96\n", + "2024-06-17 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.88\n", + "2024-06-18 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.86\n", + "2024-06-19 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.93\n", + "2024-06-20 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.83\n", + "2024-06-21 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.79\n", + "2024-06-24 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.77\n", + "2024-06-25 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.86\n", + "2024-06-26 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.86\n", + "2024-06-27 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.91\n", + "2024-06-28 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.93\n", + "2024-07-01 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：10.13\n", + "买入\n", + "2024-07-02 00:00:00 持仓成本：10.08 持仓收益率：0.97% 平仓价格：9.58 现价：10.18\n", + "2024-07-03 00:00:00 持仓成本：10.08 持仓收益率：0.10% 平仓价格：9.58 现价：10.09\n", + "2024-07-04 00:00:00 持仓成本：10.08 持仓收益率：-0.39% 平仓价格：9.58 现价：10.04\n", + "2024-07-05 00:00:00 持仓成本：10.08 持仓收益率：-3.20% 平仓价格：9.58 现价：9.76\n", + "2024-07-08 00:00:00 持仓成本：10.08 持仓收益率：-3.59% 平仓价格：9.58 现价：9.72\n", + "2024-07-09 00:00:00 持仓成本：10.08 持仓收益率：-2.23% 平仓价格：9.58 现价：9.85\n", + "2024-07-10 00:00:00 持仓成本：10.08 持仓收益率：-1.55% 平仓价格：9.58 现价：9.92\n", + "2024-07-11 00:00:00 持仓成本：10.08 持仓收益率：-1.65% 平仓价格：9.58 现价：9.91\n", + "2024-07-12 00:00:00 持仓成本：10.08 持仓收益率：0.10% 平仓价格：9.58 现价：10.09\n", + "2024-07-15 00:00:00 持仓成本：10.08 持仓收益率：0.29% 平仓价格：9.58 现价：10.11\n", + "2024-07-16 00:00:00 持仓成本：10.08 持仓收益率：0.00% 平仓价格：9.58 现价：10.08\n", + "2024-07-17 00:00:00 持仓成本：10.08 持仓收益率：0.97% 平仓价格：9.58 现价：10.18\n", + "2024-07-18 00:00:00 持仓成本：10.08 持仓收益率：1.07% 平仓价格：9.58 现价：10.19\n", + "2024-07-19 00:00:00 持仓成本：10.08 持仓收益率：0.68% 平仓价格：9.58 现价：10.15\n", + "2024-07-22 00:00:00 持仓成本：10.08 持仓收益率：-0.68% 平仓价格：9.58 现价：10.01\n", + "2024-07-23 00:00:00 持仓成本：10.08 持仓收益率：-1.17% 平仓价格：9.58 现价：9.96\n", + "2024-07-24 00:00:00 持仓成本：10.08 持仓收益率：-1.65% 平仓价格：9.58 现价：9.91\n", + "2024-07-25 00:00:00 持仓成本：10.08 持仓收益率：-2.04% 平仓价格：9.58 现价：9.87\n", + "2024-07-26 00:00:00 持仓成本：10.08 持仓收益率：-2.62% 平仓价格：9.58 现价：9.82\n", + "2024-07-29 00:00:00 持仓成本：10.08 持仓收益率：-1.84% 平仓价格：9.58 现价：9.89\n", + "2024-07-30 00:00:00 持仓成本：10.08 持仓收益率：-2.14% 平仓价格：9.58 现价：9.86\n", + "2024-07-31 00:00:00 持仓成本：10.08 持仓收益率：-0.29% 平仓价格：9.58 现价：10.05\n", + "2024-08-01 00:00:00 持仓成本：10.08 持仓收益率：-0.29% 平仓价格：9.58 现价：10.05\n", + "2024-08-02 00:00:00 持仓成本：10.08 持仓收益率：-1.55% 平仓价格：9.58 现价：9.92\n", + "2024-08-05 00:00:00 持仓成本：10.08 持仓收益率：-2.43% 平仓价格：9.58 现价：9.83\n", + "2024-08-06 00:00:00 持仓成本：10.08 持仓收益率：-3.59% 平仓价格：9.58 现价：9.72\n", + "2024-08-07 00:00:00 持仓成本：10.08 持仓收益率：-3.59% 平仓价格：9.58 现价：9.72\n", + "2024-08-08 00:00:00 持仓成本：10.08 持仓收益率：-3.50% 平仓价格：9.58 现价：9.73\n", + "2024-08-09 00:00:00 持仓成本：10.08 持仓收益率：-2.52% 平仓价格：9.58 现价：9.83\n", + "2024-08-12 00:00:00 持仓成本：10.08 持仓收益率：-2.82% 平仓价格：9.58 现价：9.80\n", + "2024-08-13 00:00:00 持仓成本：10.08 持仓收益率：-3.40% 平仓价格：9.58 现价：9.74\n", + "2024-08-14 00:00:00 持仓成本：10.08 持仓收益率：-3.69% 平仓价格：9.58 现价：9.71\n", + "2024-08-15 00:00:00 持仓成本：10.08 持仓收益率：-2.62% 平仓价格：9.58 现价：9.82\n", + "2024-08-16 00:00:00 持仓成本：10.08 持仓收益率：-1.65% 平仓价格：9.58 现价：9.91\n", + "2024-08-19 00:00:00 持仓成本：10.08 持仓收益率：-0.10% 平仓价格：9.58 现价：10.07\n", + "2024-08-20 00:00:00 持仓成本：10.08 持仓收益率：0.39% 平仓价格：9.58 现价：10.12\n", + "2024-08-21 00:00:00 持仓成本：10.08 持仓收益率：0.49% 平仓价格：9.58 现价：10.13\n", + "2024-08-22 00:00:00 持仓成本：10.08 持仓收益率：0.78% 平仓价格：9.58 现价：10.16\n", + "2024-08-23 00:00:00 持仓成本：10.08 持仓收益率：1.65% 平仓价格：9.58 现价：10.25\n", + "2024-08-26 00:00:00 持仓成本：10.08 持仓收益率：1.84% 平仓价格：9.58 现价：10.27\n", + "2024-08-27 00:00:00 持仓成本：10.08 持仓收益率：1.26% 平仓价格：9.58 现价：10.21\n", + "2024-08-28 00:00:00 持仓成本：10.08 持仓收益率：0.29% 平仓价格：9.58 现价：10.11\n", + "2024-08-29 00:00:00 持仓成本：10.08 持仓收益率：-1.65% 平仓价格：9.58 现价：9.91\n", + "2024-08-30 00:00:00 持仓成本：10.08 持仓收益率：-1.36% 平仓价格：9.58 现价：9.94\n", + "2024-09-02 00:00:00 持仓成本：10.08 持仓收益率：-1.84% 平仓价格：9.58 现价：9.89\n", + "2024-09-03 00:00:00 持仓成本：10.08 持仓收益率：-2.14% 平仓价格：9.58 现价：9.86\n", + "2024-09-04 00:00:00 持仓成本：10.08 持仓收益率：-2.72% 平仓价格：9.58 现价：9.81\n", + "2024-09-05 00:00:00 持仓成本：10.08 持仓收益率：-2.23% 平仓价格：9.58 现价：9.85\n", + "2024-09-06 00:00:00 持仓成本：10.08 持仓收益率：-2.14% 平仓价格：9.58 现价：9.86\n", + "2024-09-09 00:00:00 持仓成本：10.08 持仓收益率：-4.37% 平仓价格：9.58 现价：9.64\n", + "2024-09-10 00:00:00 持仓成本：10.08 持仓收益率：-3.88% 平仓价格：9.58 现价：9.69\n", + "2024-09-11 00:00:00 持仓成本：10.08 持仓收益率：-6.31% 平仓价格：9.58 现价：9.44\n", + "2024-09-12 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.53\n", + "2024-09-13 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.49\n", + "2024-09-18 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.56\n", + "2024-09-19 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.60\n", + "2024-09-20 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.69\n", + "2024-09-23 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：9.83\n", + "2024-09-24 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：10.15\n", + "买入\n", + "2024-09-25 00:00:00 持仓成本：10.29 持仓收益率：-0.19% 平仓价格：9.78 现价：10.28\n", + "2024-09-26 00:00:00 持仓成本：10.29 持仓收益率：5.99% 平仓价格：10.81 现价：10.91\n", + "2024-09-27 00:00:00 持仓成本：10.29 持仓收益率：8.56% 平仓价格：10.81 现价：11.18\n", + "2024-09-30 00:00:00 持仓成本：10.29 持仓收益率：16.06% 平仓价格：11.35 现价：11.95\n", + "2024-10-08 00:00:00 持仓成本：10.29 持仓收益率：22.43% 平仓价格：11.97 现价：12.60\n", + "2024-10-09 00:00:00 持仓成本：10.29 持仓收益率：11.03% 平仓价格：12.00 现价：11.43\n", + "2024-10-10 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.98\n", + "2024-10-11 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.72\n", + "2024-10-14 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：12.02\n", + "2024-10-15 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.90\n", + "2024-10-16 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：12.06\n", + "2024-10-17 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.95\n", + "2024-10-18 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：12.04\n", + "2024-10-21 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.81\n", + "2024-10-22 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.79\n", + "2024-10-23 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.86\n", + "2024-10-24 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.75\n", + "2024-10-25 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.71\n", + "2024-10-28 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.64\n", + "2024-10-29 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.54\n", + "2024-10-30 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.32\n", + "2024-10-31 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.38\n", + "2024-11-01 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.43\n", + "2024-11-04 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.46\n", + "2024-11-05 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.65\n", + "买入\n", + "2024-11-06 00:00:00 持仓成本：11.62 持仓收益率：-0.60% 平仓价格：11.04 现价：11.55\n", + "2024-11-07 00:00:00 持仓成本：11.62 持仓收益率：2.50% 平仓价格：11.04 现价：11.91\n", + "2024-11-08 00:00:00 持仓成本：11.62 持仓收益率：0.86% 平仓价格：11.04 现价：11.72\n", + "2024-11-11 00:00:00 持仓成本：11.62 持仓收益率：-0.17% 平仓价格：11.04 现价：11.60\n", + "2024-11-12 00:00:00 持仓成本：11.62 持仓收益率：-0.69% 平仓价格：11.04 现价：11.54\n", + "2024-11-13 00:00:00 持仓成本：11.62 持仓收益率：-0.09% 平仓价格：11.04 现价：11.61\n", + "2024-11-14 00:00:00 持仓成本：11.62 持仓收益率：-0.69% 平仓价格：11.04 现价：11.54\n", + "2024-11-15 00:00:00 持仓成本：11.62 持仓收益率：-1.55% 平仓价格：11.04 现价：11.44\n", + "2024-11-18 00:00:00 持仓成本：11.62 持仓收益率：1.12% 平仓价格：11.04 现价：11.75\n", + "2024-11-19 00:00:00 持仓成本：11.62 持仓收益率：0.52% 平仓价格：11.04 现价：11.68\n", + "2024-11-20 00:00:00 持仓成本：11.62 持仓收益率：0.17% 平仓价格：11.04 现价：11.64\n", + "2024-11-21 00:00:00 持仓成本：11.62 持仓收益率：-0.26% 平仓价格：11.04 现价：11.59\n", + "2024-11-22 00:00:00 持仓成本：11.62 持仓收益率：-2.93% 平仓价格：11.04 现价：11.28\n", + "2024-11-25 00:00:00 持仓成本：11.62 持仓收益率：-3.79% 平仓价格：11.04 现价：11.18\n", + "2024-11-26 00:00:00 持仓成本：11.62 持仓收益率：-3.01% 平仓价格：11.04 现价：11.27\n", + "2024-11-27 00:00:00 持仓成本：11.62 持仓收益率：-1.98% 平仓价格：11.04 现价：11.39\n", + "2024-11-28 00:00:00 持仓成本：11.62 持仓收益率：-2.41% 平仓价格：11.04 现价：11.34\n", + "2024-11-29 00:00:00 持仓成本：11.62 持仓收益率：-2.07% 平仓价格：11.04 现价：11.38\n", + "2024-12-02 00:00:00 持仓成本：11.62 持仓收益率：-1.98% 平仓价格：11.04 现价：11.39\n", + "2024-12-03 00:00:00 持仓成本：11.62 持仓收益率：-1.12% 平仓价格：11.04 现价：11.49\n", + "2024-12-04 00:00:00 持仓成本：11.62 持仓收益率：-1.38% 平仓价格：11.04 现价：11.46\n", + "2024-12-05 00:00:00 持仓成本：11.62 持仓收益率：-1.55% 平仓价格：11.04 现价：11.44\n", + "2024-12-06 00:00:00 持仓成本：11.62 持仓收益率：0.34% 平仓价格：11.04 现价：11.66\n", + "2024-12-09 00:00:00 持仓成本：11.62 持仓收益率：0.43% 平仓价格：11.04 现价：11.67\n", + "2024-12-10 00:00:00 持仓成本：11.62 持仓收益率：1.46% 平仓价格：11.04 现价：11.79\n", + "2024-12-11 00:00:00 持仓成本：11.62 持仓收益率：0.95% 平仓价格：11.04 现价：11.73\n", + "2024-12-12 00:00:00 持仓成本：11.62 持仓收益率：1.98% 平仓价格：11.04 现价：11.85\n", + "2024-12-13 00:00:00 持仓成本：11.62 持仓收益率：-0.52% 平仓价格：11.04 现价：11.56\n", + "2024-12-16 00:00:00 持仓成本：11.62 持仓收益率：-0.43% 平仓价格：11.04 现价：11.57\n", + "2024-12-17 00:00:00 持仓成本：11.62 持仓收益率：-0.77% 平仓价格：11.04 现价：11.53\n", + "2024-12-18 00:00:00 持仓成本：11.62 持仓收益率：0.26% 平仓价格：11.04 现价：11.65\n", + "2024-12-19 00:00:00 持仓成本：11.62 持仓收益率：-0.26% 平仓价格：11.04 现价：11.59\n", + "2024-12-20 00:00:00 持仓成本：11.62 持仓收益率：0.00% 平仓价格：11.04 现价：11.62\n", + "2024-12-23 00:00:00 持仓成本：11.62 持仓收益率：0.95% 平仓价格：11.04 现价：11.73\n", + "2024-12-24 00:00:00 持仓成本：11.62 持仓收益率：2.07% 平仓价格：11.04 现价：11.86\n", + "2024-12-25 00:00:00 持仓成本：11.62 持仓收益率：2.58% 平仓价格：11.04 现价：11.92\n", + "2024-12-26 00:00:00 持仓成本：11.62 持仓收益率：2.07% 平仓价格：11.04 现价：11.86\n", + "2024-12-27 00:00:00 持仓成本：11.62 持仓收益率：1.81% 平仓价格：11.04 现价：11.83\n", + "2024-12-30 00:00:00 持仓成本：11.62 持仓收益率：2.84% 平仓价格：11.04 现价：11.95\n", + "2024-12-31 00:00:00 持仓成本：0.00 持仓收益率：0.00% 平仓价格：0.00 现价：11.70\n", + "Start 2024-01-02 00:00:00\n", + "End 2024-12-31 00:00:00\n", + "Duration 364 days 00:00:00\n", + "Exposure Time [%] 59.91736\n", + "Equity Final [$] 10205.75758\n", + "Equity Peak [$] 10275.87094\n", + "Return [%] 2.05758\n", + "Buy & Hold Return [%] 39.08619\n", + "Return (Ann.) [%] 2.1435\n", + "Volatility (Ann.) [%] 2.41689\n", + "CAGR [%] 1.42001\n", + "Sharpe Ratio 0.88689\n", + "Sortino Ratio 1.46418\n", + "Calmar Ratio 1.64544\n", + "Max. Drawdown [%] -1.3027\n", + "Avg. Drawdown [%] -0.63274\n", + "Max. Drawdown Duration 131 days 00:00:00\n", + "Avg. Drawdown Duration 61 days 00:00:00\n", + "# Trades 6\n", + "Win Rate [%] 66.66667\n", + "Best Trade [%] 13.09778\n", + "Worst Trade [%] -6.3107\n", + "Avg. Trade [%] 3.12968\n", + "Max. Trade Duration 72 days 00:00:00\n", + "Avg. Trade Duration 36 days 00:00:00\n", + "Profit Factor 2.76035\n", + "Expectancy [%] 3.41555\n", + "SQN 0.99945\n", + "Kelly Criterion 0.42723\n", + "_strategy LegendStrategy\n", + "_equity_curve ...\n", + "_trades Size EntryBa...\n", + "dtype: object\n", + "总盈利：205.76\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": 95, + "execution_count": 156, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 95 + "execution_count": 156 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-02-21T03:15:24.196237Z", - "start_time": "2025-02-21T03:15:09.989176Z" + "end_time": "2025-02-22T09:06:08.219490Z", + "start_time": "2025-02-22T09:04:28.755486Z" } }, "cell_type": "code", @@ -278,7 +595,7 @@ " stock_df = load_stock(name.replace(\".csv\", \"\"))\n", " if stock_df.empty or stock_df.size < 1000:\n", " continue\n", - " bt = Backtest(stock_df, MACDStrategy, cash=10000, commission=.002, trade_on_close=True)\n", + " bt = Backtest(stock_df, LegendStrategy, cash=10000, commission=.002, trade_on_close=True)\n", " result = bt.run()\n", " count += 1\n", " final = result.iloc[4]\n", @@ -292,185 +609,2827 @@ "name": "stdout", "output_type": "stream", "text": [ - "300602.SZ.csv: 9519.828495999998 胜率：0.00%\n", - "301335.SZ.csv: 9483.993636 胜率：0.00%\n", - "300153.SZ.csv: 10945.991414000004 胜率：33.33%\n", - 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"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" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31mKeyboardInterrupt\u001B[0m Traceback (most recent call last)", - "\u001B[0;32m/var/folders/7h/w0cmp4zj6mn9br_6nyj310m40000gn/T/ipykernel_73705/2811901891.py\u001B[0m in \u001B[0;36m?\u001B[0;34m()\u001B[0m\n\u001B[1;32m 6\u001B[0m \u001B[0mstock_df\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mload_stock\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mname\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mreplace\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\".csv\"\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m\"\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 7\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0mstock_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mempty\u001B[0m \u001B[0;32mor\u001B[0m \u001B[0mstock_df\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msize\u001B[0m \u001B[0;34m<\u001B[0m \u001B[0;36m1000\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 8\u001B[0m \u001B[0;32mcontinue\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 9\u001B[0m \u001B[0mbt\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mBacktest\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mstock_df\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mMACDStrategy\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mcash\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;36m10000\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mcommission\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;36m.002\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mtrade_on_close\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;32mTrue\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 10\u001B[0;31m \u001B[0mresult\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mbt\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mrun\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 11\u001B[0m \u001B[0mcount\u001B[0m \u001B[0;34m+=\u001B[0m \u001B[0;36m1\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 12\u001B[0m \u001B[0mfinal\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mresult\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0miloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m4\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 13\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0mfinal\u001B[0m \u001B[0;34m>\u001B[0m \u001B[0;36m10000\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/backtesting.py\u001B[0m in \u001B[0;36m?\u001B[0;34m(self, **kwargs)\u001B[0m\n\u001B[1;32m 1337\u001B[0m \u001B[0;31m# for future `indicator._opts['data'].index` calls to work\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 1338\u001B[0m \u001B[0mdata\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_set_length\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mlen\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[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 1339\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 1340\u001B[0m \u001B[0mequity\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mSeries\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mbroker\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_equity\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mbfill\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mfillna\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mbroker\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_cash\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mvalues\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 1341\u001B[0;31m 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 deviation\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 149\u001B[0m \u001B[0ms\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Sharpe Ratio'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0ms\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Return (Ann.) [%]'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m-\u001B[0m \u001B[0mrisk_free_rate\u001B[0m \u001B[0;34m*\u001B[0m \u001B[0;36m100\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m/\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0ms\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Volatility (Ann.) [%]'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;32mor\u001B[0m \u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mnan\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;31m# noqa: E501\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 150\u001B[0m \u001B[0;31m# Our Sortino mismatches `empyrical.sortino_ratio()` because they use arithmetic mean return\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 151\u001B[0m \u001B[0;32mwith\u001B[0m \u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0merrstate\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mdivide\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;34m'ignore'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 152\u001B[0;31m \u001B[0ms\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Sortino Ratio'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0mannualized_return\u001B[0m \u001B[0;34m-\u001B[0m \u001B[0mrisk_free_rate\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m/\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msqrt\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mmean\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mday_returns\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mclip\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m-\u001B[0m\u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0minf\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;36m0\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m**\u001B[0m\u001B[0;36m2\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m*\u001B[0m \u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msqrt\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mannual_trading_days\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;31m# noqa: E501\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 153\u001B[0m \u001B[0mmax_dd\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;34m-\u001B[0m\u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mnan_to_num\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mdd\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mmax\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 154\u001B[0m \u001B[0ms\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Calmar Ratio'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mannualized_return\u001B[0m \u001B[0;34m/\u001B[0m \u001B[0;34m(\u001B[0m\u001B[0;34m-\u001B[0m\u001B[0mmax_dd\u001B[0m \u001B[0;32mor\u001B[0m \u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mnan\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 155\u001B[0m \u001B[0ms\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mloc\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;34m'Max. Drawdown [%]'\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mmax_dd\u001B[0m \u001B[0;34m*\u001B[0m \u001B[0;36m100\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/pandas/core/generic.py\u001B[0m in \u001B[0;36m?\u001B[0;34m(self, lower, upper, axis, inplace, **kwargs)\u001B[0m\n\u001B[1;32m 9071\u001B[0m \u001B[0;31m# so ignore\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 9072\u001B[0m \u001B[0;31m# GH 19992\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 9073\u001B[0m \u001B[0;31m# numpy doesn't drop a list-like bound containing NaN\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 9074\u001B[0m \u001B[0misna_lower\u001B[0m \u001B[0;34m=\u001B[0m 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