[Mod]set all statistics to 0 if no trade in backtesting
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38aabe1b09
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@ -301,6 +301,32 @@ class BacktestingEngine:
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if not df:
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if not df:
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df = self.daily_df
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df = self.daily_df
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if df is None:
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# Set all statistics to 0 if no trade.
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start_date = ""
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end_date = ""
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total_days = 0
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profit_days = 0
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loss_days = 0
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end_balance = 0
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max_drawdown = 0
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max_ddpercent = 0
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total_net_pnl = 0
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daily_net_pnl = 0
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total_commission = 0
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daily_commission = 0
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total_slippage = 0
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daily_slippage = 0
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total_turnover = 0
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daily_turnover = 0
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total_trade_count = 0
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daily_trade_count = 0
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total_return = 0
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annual_return = 0
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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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else:
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# Calculate balance related time series data
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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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df["balance"] = df["net_pnl"].cumsum() + self.capital
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df["return"] = np.log(df["balance"] / df["balance"].shift(1)).fillna(0)
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df["return"] = np.log(df["balance"] / df["balance"].shift(1)).fillna(0)
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@ -349,7 +375,6 @@ class BacktestingEngine:
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sharpe_ratio = 0
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sharpe_ratio = 0
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# Output
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# Output
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# 输出统计结果
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self.output("-" * 30)
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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"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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self.output(f"最后交易日:\t{end_date}")
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@ -415,6 +440,9 @@ class BacktestingEngine:
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if not df:
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if not df:
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df = self.daily_df
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df = self.daily_df
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if df is None:
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return
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plt.figure(figsize=(10, 16))
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plt.figure(figsize=(10, 16))
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balance_plot = plt.subplot(4, 1, 1)
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balance_plot = plt.subplot(4, 1, 1)
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