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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@ -373,38 +374,42 @@ 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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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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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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self.output(f"总交易日:\t{total_days}")
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self.output(f"盈利交易日:\t{profit_days}")
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self.output(f"亏损交易日:\t{loss_days}")
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self.output(f"总交易日:\t{total_days}")
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self.output(f"盈利交易日:\t{profit_days}")
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self.output(f"亏损交易日:\t{loss_days}")
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self.output(f"起始资金:\t{self.capital:,.2f}")
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self.output(f"结束资金:\t{end_balance:,.2f}")
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self.output(f"起始资金:\t{self.capital:,.2f}")
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self.output(f"结束资金:\t{end_balance:,.2f}")
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self.output(f"总收益率:\t{total_return:,.2f}%")
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self.output(f"年化收益:\t{annual_return:,.2f}%")
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self.output(f"最大回撤: \t{max_drawdown:,.2f}")
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self.output(f"百分比最大回撤: {max_ddpercent:,.2f}%")
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self.output(f"总收益率:\t{total_return:,.2f}%")
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self.output(f"年化收益:\t{annual_return:,.2f}%")
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self.output(f"最大回撤: \t{max_drawdown:,.2f}")
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self.output(f"百分比最大回撤: {max_ddpercent:,.2f}%")
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self.output(f"总盈亏:\t{total_net_pnl:,.2f}")
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self.output(f"总手续费:\t{total_commission:,.2f}")
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self.output(f"总滑点:\t{total_slippage:,.2f}")
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self.output(f"总成交金额:\t{total_turnover:,.2f}")
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self.output(f"总成交笔数:\t{total_trade_count}")
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self.output(f"总盈亏:\t{total_net_pnl:,.2f}")
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self.output(f"总手续费:\t{total_commission:,.2f}")
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self.output(f"总滑点:\t{total_slippage:,.2f}")
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self.output(f"总成交金额:\t{total_turnover:,.2f}")
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self.output(f"总成交笔数:\t{total_trade_count}")
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self.output(f"日均盈亏:\t{daily_net_pnl:,.2f}")
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self.output(f"日均手续费:\t{daily_commission:,.2f}")
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self.output(f"日均滑点:\t{daily_slippage:,.2f}")
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self.output(f"日均成交金额:\t{daily_turnover:,.2f}")
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self.output(f"日均成交笔数:\t{daily_trade_count}")
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self.output(f"日均盈亏:\t{daily_net_pnl:,.2f}")
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self.output(f"日均手续费:\t{daily_commission:,.2f}")
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self.output(f"日均滑点:\t{daily_slippage:,.2f}")
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self.output(f"日均成交金额:\t{daily_turnover:,.2f}")
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self.output(f"日均成交笔数:\t{daily_trade_count}")
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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"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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