Don't use profit_percent for backtesting results anymore
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@@ -34,9 +34,9 @@ class SharpeHyperOptLossDaily(IHyperOptLoss):
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annual_risk_free_rate = 0.0
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risk_free_rate = annual_risk_free_rate / days_in_year
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# apply slippage per trade to profit_percent
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results.loc[:, 'profit_percent_after_slippage'] = \
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results['profit_percent'] - slippage_per_trade_ratio
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# apply slippage per trade to profit_ratio
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results.loc[:, 'profit_ratio_after_slippage'] = \
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results['profit_ratio'] - slippage_per_trade_ratio
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# create the index within the min_date and end max_date
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t_index = date_range(start=min_date, end=max_date, freq=resample_freq,
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@@ -44,10 +44,10 @@ class SharpeHyperOptLossDaily(IHyperOptLoss):
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sum_daily = (
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results.resample(resample_freq, on='close_date').agg(
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{"profit_percent_after_slippage": sum}).reindex(t_index).fillna(0)
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{"profit_ratio_after_slippage": sum}).reindex(t_index).fillna(0)
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)
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total_profit = sum_daily["profit_percent_after_slippage"] - risk_free_rate
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total_profit = sum_daily["profit_ratio_after_slippage"] - risk_free_rate
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expected_returns_mean = total_profit.mean()
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up_stdev = total_profit.std()
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