Add long/short support to backtesting
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@@ -30,7 +30,9 @@ BT_DATA_COLUMNS = ['pair', 'stake_amount', 'amount', 'open_date', 'close_date',
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'fee_open', 'fee_close', 'trade_duration',
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'profit_ratio', 'profit_abs', 'sell_reason',
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'initial_stop_loss_abs', 'initial_stop_loss_ratio', 'stop_loss_abs',
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'stop_loss_ratio', 'min_rate', 'max_rate', 'is_open', 'buy_tag']
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'stop_loss_ratio', 'min_rate', 'max_rate', 'is_open', 'buy_tag',
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'is_short'
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]
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# TODO-lev: usage of the above might need compatibility code (buy_tag, is_short?, ...?)
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@@ -454,6 +454,8 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame],
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# 'days_breakdown_stats': days_breakdown_stats,
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'total_trades': len(results),
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'trade_count_long': len(results.loc[~results['is_short']]),
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'trade_count_short': len(results.loc[results['is_short']]),
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'total_volume': float(results['stake_amount'].sum()),
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'avg_stake_amount': results['stake_amount'].mean() if len(results) > 0 else 0,
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'profit_mean': results['profit_ratio'].mean() if len(results) > 0 else 0,
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@@ -719,6 +721,9 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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('', ''), # Empty line to improve readability
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('Total/Daily Avg Trades',
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f"{strat_results['total_trades']} / {strat_results['trades_per_day']}"),
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('Long / Short',
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f"{strat_results.get('trade_count_long', 'total_trades')} / "
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f"{strat_results.get('trade_count_short', 0)}"),
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('Starting balance', round_coin_value(strat_results['starting_balance'],
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strat_results['stake_currency'])),
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('Final balance', round_coin_value(strat_results['final_balance'],
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