Fix wrong implementation of total_profit in Backtesting
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7541bf8c65
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08d6dd6a70
@ -48,8 +48,8 @@ def generate_text_table(
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tabular_data.append([
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pair,
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len(result.index),
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'{:.2f}%'.format(result.profit.mean() * 100.0),
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'{:.08f} {}'.format(result.profit.sum(), stake_currency),
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'{:.2f}%'.format(result.profit_percent.mean() * 100.0),
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'{:.08f} {}'.format(result.profit_BTC.sum(), stake_currency),
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'{:.2f}'.format(result.duration.mean() * ticker_interval),
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])
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@ -57,8 +57,8 @@ def generate_text_table(
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tabular_data.append([
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'TOTAL',
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len(results.index),
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'{:.2f}%'.format(results.profit.mean() * 100.0),
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'{:.08f} {}'.format(results.profit.sum(), stake_currency),
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'{:.2f}%'.format(results.profit_percent.mean() * 100.0),
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'{:.08f} {}'.format(results.profit_BTC.sum(), stake_currency),
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'{:.2f}'.format(results.duration.mean() * ticker_interval),
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])
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return tabulate(tabular_data, headers=headers)
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@ -98,8 +98,9 @@ def backtest(config: Dict, processed: Dict[str, DataFrame],
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trade = Trade(
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open_rate=row.close,
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open_date=row.date,
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amount=config['stake_amount'],
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fee=exchange.get_fee() * 2
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stake_amount=config['stake_amount'],
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amount= config['stake_amount'] / row.open,
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fee=exchange.get_fee()
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)
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# calculate win/lose forwards from buy point
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@ -109,12 +110,13 @@ def backtest(config: Dict, processed: Dict[str, DataFrame],
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trade_count_lock[row2.date] = trade_count_lock.get(row2.date, 0) + 1
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if min_roi_reached(trade, row2.close, row2.date) or row2.sell == 1:
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current_profit = trade.calc_profit_percent(row2.close)
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current_profit_percent = trade.calc_profit_percent(rate=row2.close)
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current_profit_BTC = trade.calc_profit(rate=row2.close)
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lock_pair_until = row2.Index
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trades.append((pair, current_profit, row2.Index - row.Index))
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trades.append((pair, current_profit_percent, current_profit_BTC, row2.Index - row.Index))
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break
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labels = ['currency', 'profit', 'duration']
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labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
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return DataFrame.from_records(trades, columns=labels)
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@ -131,7 +131,7 @@ def optimizer(params):
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result = format_results(results)
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total_profit = results.profit.sum() * 1000
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total_profit = results.profit_percent.sum() * 1000
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trade_count = len(results.index)
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trade_loss = 1 - 0.35 * exp(-(trade_count - TARGET_TRADES) ** 2 / 10 ** 5.2)
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@ -144,7 +144,7 @@ def optimizer(params):
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'total_profit': total_profit,
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'trade_loss': trade_loss,
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'profit_loss': profit_loss,
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'avg_profit': results.profit.mean() * 100.0,
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'avg_profit': results.profit_percent.mean() * 100.0,
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'avg_duration': results.duration.mean() * 5,
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'current_tries': _CURRENT_TRIES,
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'total_tries': TOTAL_TRIES,
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@ -166,8 +166,8 @@ def format_results(results: DataFrame):
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return ('Made {:6d} buys. Average profit {: 5.2f}%. '
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'Total profit was {: 7.3f}. Average duration {:5.1f} mins.').format(
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len(results.index),
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results.profit.mean() * 100.0,
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results.profit.sum(),
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results.profit_percent.mean() * 100.0,
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results.profit_BTC.sum(),
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results.duration.mean() * 5,
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)
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