Some more fixes to % formatting
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@ -284,10 +284,10 @@ class HyperoptTools():
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return (f"{results_metrics['total_trades']:6d} trades. "
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return (f"{results_metrics['total_trades']:6d} trades. "
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f"{results_metrics['wins']}/{results_metrics['draws']}"
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f"{results_metrics['wins']}/{results_metrics['draws']}"
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f"/{results_metrics['losses']} Wins/Draws/Losses. "
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f"/{results_metrics['losses']} Wins/Draws/Losses. "
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f"Avg profit {results_metrics['profit_mean'] * 100: 6.2f}%. "
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f"Avg profit {results_metrics['profit_mean']:7.2%}. "
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f"Median profit {results_metrics['profit_median'] * 100: 6.2f}%. "
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f"Median profit {results_metrics['profit_median']:7.2%}. "
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f"Total profit {results_metrics['profit_total_abs']: 11.8f} {stake_currency} "
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f"Total profit {results_metrics['profit_total_abs']:11.8f} {stake_currency} "
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f"({results_metrics['profit_total'] * 100: 7.2f}%). "
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f"({results_metrics['profit_total']:8.2%}). "
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f"Avg duration {results_metrics['holding_avg']} min."
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f"Avg duration {results_metrics['holding_avg']} min."
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)
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)
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@ -725,7 +725,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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strat_results['stake_currency'])),
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strat_results['stake_currency'])),
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('Absolute profit ', round_coin_value(strat_results['profit_total_abs'],
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('Absolute profit ', round_coin_value(strat_results['profit_total_abs'],
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strat_results['stake_currency'])),
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strat_results['stake_currency'])),
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('Total profit %', f"{round(strat_results['profit_total'] * 100, 2)}%"),
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('Total profit %', f"{strat_results['profit_total']:.2%}"),
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('Trades per day', strat_results['trades_per_day']),
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('Trades per day', strat_results['trades_per_day']),
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('Avg. daily profit %',
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('Avg. daily profit %',
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f"{round(strat_results['profit_total'] / strat_results['backtest_days'] * 100, 2)}%"),
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f"{round(strat_results['profit_total'] / strat_results['backtest_days'] * 100, 2)}%"),
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@ -738,9 +738,9 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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f"{round(strat_results['best_pair']['profit_sum_pct'], 2)}%"),
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f"{round(strat_results['best_pair']['profit_sum_pct'], 2)}%"),
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('Worst Pair', f"{strat_results['worst_pair']['key']} "
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('Worst Pair', f"{strat_results['worst_pair']['key']} "
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f"{round(strat_results['worst_pair']['profit_sum_pct'], 2)}%"),
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f"{round(strat_results['worst_pair']['profit_sum_pct'], 2)}%"),
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('Best trade', f"{best_trade['pair']} {round(best_trade['profit_ratio'] * 100, 2)}%"),
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('Best trade', f"{best_trade['pair']} {best_trade['profit_ratio']:.2%}"),
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('Worst trade', f"{worst_trade['pair']} "
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('Worst trade', f"{worst_trade['pair']} "
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f"{round(worst_trade['profit_ratio'] * 100, 2)}%"),
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f"{worst_trade['profit_ratio']:.2%}"),
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('Best day', round_coin_value(strat_results['backtest_best_day_abs'],
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('Best day', round_coin_value(strat_results['backtest_best_day_abs'],
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strat_results['stake_currency'])),
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strat_results['stake_currency'])),
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@ -758,7 +758,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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('Max balance', round_coin_value(strat_results['csum_max'],
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('Max balance', round_coin_value(strat_results['csum_max'],
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strat_results['stake_currency'])),
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strat_results['stake_currency'])),
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('Drawdown', f"{round(strat_results['max_drawdown'] * 100, 2)}%"),
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('Drawdown', f"{strat_results['max_drawdown']:.2%}"),
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('Drawdown', round_coin_value(strat_results['max_drawdown_abs'],
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('Drawdown', round_coin_value(strat_results['max_drawdown_abs'],
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strat_results['stake_currency'])),
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strat_results['stake_currency'])),
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('Drawdown high', round_coin_value(strat_results['max_drawdown_high'],
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('Drawdown high', round_coin_value(strat_results['max_drawdown_high'],
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@ -767,7 +767,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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strat_results['stake_currency'])),
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strat_results['stake_currency'])),
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('Drawdown Start', strat_results['drawdown_start']),
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('Drawdown Start', strat_results['drawdown_start']),
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('Drawdown End', strat_results['drawdown_end']),
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('Drawdown End', strat_results['drawdown_end']),
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('Market change', f"{round(strat_results['market_change'] * 100, 2)}%"),
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('Market change', f"{strat_results['market_change']:.2%}"),
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]
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]
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return tabulate(metrics, headers=["Metric", "Value"], tablefmt="orgtbl")
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return tabulate(metrics, headers=["Metric", "Value"], tablefmt="orgtbl")
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@ -972,6 +972,7 @@ class Trade(_DECL_BASE, LocalTrade):
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if not any(item["mix_tag"] == mix_tag for item in return_list):
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if not any(item["mix_tag"] == mix_tag for item in return_list):
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return_list.append({'mix_tag': mix_tag,
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return_list.append({'mix_tag': mix_tag,
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'profit': profit,
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'profit': profit,
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'profit_pct': round(profit * 100, 2),
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'profit_abs': profit_abs,
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'profit_abs': profit_abs,
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'count': count})
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'count': count})
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else:
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else:
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@ -980,11 +981,11 @@ class Trade(_DECL_BASE, LocalTrade):
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return_list[i] = {
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return_list[i] = {
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'mix_tag': mix_tag,
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'mix_tag': mix_tag,
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'profit': profit + return_list[i]["profit"],
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'profit': profit + return_list[i]["profit"],
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'profit_pct': round(profit + return_list[i]["profit"] * 100, 2),
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'profit_abs': profit_abs + return_list[i]["profit_abs"],
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'profit_abs': profit_abs + return_list[i]["profit_abs"],
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'count': 1 + return_list[i]["count"]}
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'count': 1 + return_list[i]["count"]}
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i += 1
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i += 1
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[x.update({'profit': round(x['profit'] * 100, 2)}) for x in return_list]
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return return_list
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return return_list
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@staticmethod
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@staticmethod
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@ -169,8 +169,8 @@ def add_max_drawdown(fig, row, trades: pd.DataFrame, df_comb: pd.DataFrame,
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df_comb.loc[timeframe_to_prev_date(timeframe, lowdate), 'cum_profit'],
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df_comb.loc[timeframe_to_prev_date(timeframe, lowdate), 'cum_profit'],
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],
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],
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mode='markers',
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mode='markers',
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name=f"Max drawdown {max_drawdown * 100:.2f}%",
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name=f"Max drawdown {max_drawdown:.2%}",
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text=f"Max drawdown {max_drawdown * 100:.2f}%",
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text=f"Max drawdown {max_drawdown:.2%}",
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marker=dict(
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marker=dict(
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symbol='square-open',
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symbol='square-open',
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size=9,
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size=9,
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@ -82,7 +82,7 @@ class PriceFilter(IPairList):
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changeperc = compare / ticker['last']
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changeperc = compare / ticker['last']
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if changeperc > self._low_price_ratio:
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if changeperc > self._low_price_ratio:
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self.log_once(f"Removed {pair} from whitelist, "
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self.log_once(f"Removed {pair} from whitelist, "
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f"because 1 unit is {changeperc * 100:.3f}%", logger.info)
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f"because 1 unit is {changeperc:.3%}", logger.info)
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return False
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return False
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# Perform low_amount check
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# Perform low_amount check
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@ -47,7 +47,7 @@ class SpreadFilter(IPairList):
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spread = 1 - ticker['bid'] / ticker['ask']
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spread = 1 - ticker['bid'] / ticker['ask']
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if spread > self._max_spread_ratio:
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if spread > self._max_spread_ratio:
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self.log_once(f"Removed {pair} from whitelist, because spread "
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self.log_once(f"Removed {pair} from whitelist, because spread "
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f"{spread * 100:.3f}% > {self._max_spread_ratio * 100}%",
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f"{spread * 100:.3%} > {self._max_spread_ratio:.3%}",
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logger.info)
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logger.info)
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return False
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return False
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else:
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else:
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@ -224,9 +224,8 @@ class RPC:
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trade.pair, refresh=False, side="sell")
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trade.pair, refresh=False, side="sell")
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except (PricingError, ExchangeError):
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except (PricingError, ExchangeError):
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current_rate = NAN
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current_rate = NAN
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trade_percent = (100 * trade.calc_profit_ratio(current_rate))
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trade_profit = trade.calc_profit(current_rate)
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trade_profit = trade.calc_profit(current_rate)
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profit_str = f'{trade_percent:.2f}%'
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profit_str = f'{trade.calc_profit_ratio(current_rate):.2%}'
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if self._fiat_converter:
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if self._fiat_converter:
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fiat_profit = self._fiat_converter.convert_amount(
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fiat_profit = self._fiat_converter.convert_amount(
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trade_profit,
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trade_profit,
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@ -765,7 +765,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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if self.trailing_stop_positive is not None and high_profit > sl_offset:
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if self.trailing_stop_positive is not None and high_profit > sl_offset:
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stop_loss_value = self.trailing_stop_positive
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stop_loss_value = self.trailing_stop_positive
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logger.debug(f"{trade.pair} - Using positive stoploss: {stop_loss_value} "
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logger.debug(f"{trade.pair} - Using positive stoploss: {stop_loss_value} "
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f"offset: {sl_offset:.4g} profit: {current_profit:.4f}%")
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f"offset: {sl_offset:.4g} profit: {current_profit:.2%}")
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trade.adjust_stop_loss(high or current_rate, stop_loss_value)
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trade.adjust_stop_loss(high or current_rate, stop_loss_value)
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@ -1004,7 +1004,7 @@ def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
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assert len(res) == 1
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assert len(res) == 1
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assert res[0]['mix_tag'] == 'Other Other'
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assert res[0]['mix_tag'] == 'Other Other'
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assert res[0]['count'] == 1
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assert res[0]['count'] == 1
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assert prec_satoshi(res[0]['profit'], 6.2)
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assert prec_satoshi(res[0]['profit_pct'], 6.2)
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trade.buy_tag = "TESTBUY"
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trade.buy_tag = "TESTBUY"
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trade.sell_reason = "TESTSELL"
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trade.sell_reason = "TESTSELL"
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@ -1013,7 +1013,7 @@ def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
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assert len(res) == 1
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assert len(res) == 1
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assert res[0]['mix_tag'] == 'TESTBUY TESTSELL'
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assert res[0]['mix_tag'] == 'TESTBUY TESTSELL'
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assert res[0]['count'] == 1
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assert res[0]['count'] == 1
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assert prec_satoshi(res[0]['profit'], 6.2)
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assert prec_satoshi(res[0]['profit_pct'], 6.2)
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def test_mix_tag_performance_handle_2(mocker, default_conf, markets, fee):
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def test_mix_tag_performance_handle_2(mocker, default_conf, markets, fee):
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@ -1032,10 +1032,10 @@ def test_mix_tag_performance_handle_2(mocker, default_conf, markets, fee):
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assert len(res) == 2
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assert len(res) == 2
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assert res[0]['mix_tag'] == 'TEST1 sell_signal'
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assert res[0]['mix_tag'] == 'TEST1 sell_signal'
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assert res[0]['count'] == 1
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assert res[0]['count'] == 1
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assert prec_satoshi(res[0]['profit'], 0.5)
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assert prec_satoshi(res[0]['profit_pct'], 0.5)
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assert res[1]['mix_tag'] == 'Other roi'
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assert res[1]['mix_tag'] == 'Other roi'
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assert res[1]['count'] == 1
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assert res[1]['count'] == 1
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assert prec_satoshi(res[1]['profit'], 1.0)
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assert prec_satoshi(res[1]['profit_pct'], 1.0)
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# Test for a specific pair
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# Test for a specific pair
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res = rpc._rpc_mix_tag_performance('ETC/BTC')
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res = rpc._rpc_mix_tag_performance('ETC/BTC')
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@ -1043,7 +1043,7 @@ def test_mix_tag_performance_handle_2(mocker, default_conf, markets, fee):
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assert len(res) == 1
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assert len(res) == 1
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assert res[0]['count'] == 1
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assert res[0]['count'] == 1
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assert res[0]['mix_tag'] == 'TEST1 sell_signal'
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assert res[0]['mix_tag'] == 'TEST1 sell_signal'
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assert prec_satoshi(res[0]['profit'], 0.5)
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assert prec_satoshi(res[0]['profit_pct'], 0.5)
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def test_rpc_count(mocker, default_conf, ticker, fee) -> None:
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def test_rpc_count(mocker, default_conf, ticker, fee) -> None:
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@ -3352,7 +3352,7 @@ def test_trailing_stop_loss_positive(
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)
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)
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# stop-loss not reached, adjusted stoploss
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# stop-loss not reached, adjusted stoploss
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assert freqtrade.handle_trade(trade) is False
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assert freqtrade.handle_trade(trade) is False
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caplog_text = f"ETH/USDT - Using positive stoploss: 0.01 offset: {offset} profit: 0.0249%"
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caplog_text = f"ETH/USDT - Using positive stoploss: 0.01 offset: {offset} profit: 2.49%"
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if trail_if_reached:
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if trail_if_reached:
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assert not log_has(caplog_text, caplog)
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assert not log_has(caplog_text, caplog)
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assert not log_has("ETH/USDT - Adjusting stoploss...", caplog)
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assert not log_has("ETH/USDT - Adjusting stoploss...", caplog)
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@ -3372,7 +3372,7 @@ def test_trailing_stop_loss_positive(
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)
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)
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assert freqtrade.handle_trade(trade) is False
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assert freqtrade.handle_trade(trade) is False
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assert log_has(
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assert log_has(
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f"ETH/USDT - Using positive stoploss: 0.01 offset: {offset} profit: 0.0572%",
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f"ETH/USDT - Using positive stoploss: 0.01 offset: {offset} profit: 5.72%",
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caplog
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caplog
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)
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)
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assert log_has("ETH/USDT - Adjusting stoploss...", caplog)
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assert log_has("ETH/USDT - Adjusting stoploss...", caplog)
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