Update backtesting.py
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@ -293,7 +293,7 @@ class BacktestingEngine:
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self.output("逐日盯市盈亏计算完成")
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return self.daily_df
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def calculate_statistics(self, df: DataFrame = None):
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def calculate_statistics(self, df: DataFrame = None, Output=True):
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""""""
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self.output("开始计算策略统计指标")
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@ -325,6 +325,7 @@ class BacktestingEngine:
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daily_return = 0
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return_std = 0
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sharpe_ratio = 0
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return_drawdown_ratio = 0
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else:
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# Calculate balance related time series data
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df["balance"] = df["net_pnl"].cumsum() + self.capital
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@ -373,7 +374,10 @@ class BacktestingEngine:
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else:
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sharpe_ratio = 0
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return_drawdown_ratio = -total_return / max_ddpercent
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# Output
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if Output:
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self.output("-" * 30)
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self.output(f"首个交易日:\t{start_date}")
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self.output(f"最后交易日:\t{end_date}")
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@ -405,6 +409,7 @@ class BacktestingEngine:
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self.output(f"日均收益率:\t{daily_return:,.2f}%")
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self.output(f"收益标准差:\t{return_std:,.2f}%")
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self.output(f"Sharpe Ratio:\t{sharpe_ratio:,.2f}")
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self.output(f"收益回撤比:\t{return_drawdown_ratio:,.2f}")
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statistics = {
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"start_date": start_date,
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@ -430,6 +435,7 @@ class BacktestingEngine:
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"daily_return": daily_return,
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"return_std": return_std,
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"sharpe_ratio": sharpe_ratio,
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"return_drawdown_ratio": return_drawdown_ratio,
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}
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return statistics
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