Displays the max drawdown in the hyper optimization results table.
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@ -233,18 +233,20 @@ class HyperoptTools():
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'results_metrics.winsdrawslosses',
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'results_metrics.winsdrawslosses',
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'results_metrics.profit_mean', 'results_metrics.profit_total_abs',
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'results_metrics.profit_mean', 'results_metrics.profit_total_abs',
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'results_metrics.profit_total', 'results_metrics.holding_avg',
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'results_metrics.profit_total', 'results_metrics.holding_avg',
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'loss', 'is_initial_point', 'is_best']]
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'loss', 'is_initial_point', 'is_best', 'results_metrics.max_drawdown',
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'results_metrics.max_drawdown_abs']]
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else:
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else:
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# Legacy mode
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# Legacy mode
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trials = trials[['Best', 'current_epoch', 'results_metrics.trade_count',
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trials = trials[['Best', 'current_epoch', 'results_metrics.trade_count',
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'results_metrics.winsdrawslosses',
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'results_metrics.winsdrawslosses',
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'results_metrics.avg_profit', 'results_metrics.total_profit',
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'results_metrics.avg_profit', 'results_metrics.total_profit',
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'results_metrics.profit', 'results_metrics.duration',
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'results_metrics.profit', 'results_metrics.duration',
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'loss', 'is_initial_point', 'is_best']]
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'loss', 'is_initial_point', 'is_best', 'results_metrics.max_drawdown',
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'results_metrics.max_drawdown_abs']]
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trials.columns = ['Best', 'Epoch', 'Trades', ' Win Draw Loss', 'Avg profit',
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trials.columns = ['Best', 'Epoch', 'Trades', ' Win Draw Loss', 'Avg profit',
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'Total profit', 'Profit', 'Avg duration', 'Objective',
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'Total profit', 'Profit', 'Avg duration', 'Max Drawdown', 'max_drawdown_abs',
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'is_initial_point', 'is_best']
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'Objective', 'is_initial_point', 'is_best']
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trials['is_profit'] = False
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trials['is_profit'] = False
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trials.loc[trials['is_initial_point'], 'Best'] = '* '
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trials.loc[trials['is_initial_point'], 'Best'] = '* '
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trials.loc[trials['is_best'], 'Best'] = 'Best'
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trials.loc[trials['is_best'], 'Best'] = 'Best'
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@ -266,6 +268,16 @@ class HyperoptTools():
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lambda x: f'{x:,.5f}'.rjust(8, ' ') if x != 100000 else "N/A".rjust(8, ' ')
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lambda x: f'{x:,.5f}'.rjust(8, ' ') if x != 100000 else "N/A".rjust(8, ' ')
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)
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)
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trials['Max Drawdown'] = trials.apply(
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lambda x: '{} {}'.format(
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round_coin_value(x['max_drawdown_abs'], stake_currency),
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'({:,.2f}%)'.format(x['Max Drawdown'] * perc_multi).rjust(10, ' ')
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).rjust(25 + len(stake_currency))
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if x['Max Drawdown'] != 0.0 else '--'.rjust(25 + len(stake_currency)),
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axis=1
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)
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trials = trials.drop(columns=['max_drawdown_abs'])
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stake_currency = config['stake_currency']
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stake_currency = config['stake_currency']
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trials['Profit'] = trials.apply(
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trials['Profit'] = trials.apply(
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lambda x: '{} {}'.format(
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lambda x: '{} {}'.format(
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