Adding sell_profit_only and stoploss in hyperopt
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@ -64,7 +64,7 @@ def generate_text_table(
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def backtest(stake_amount: float, processed: Dict[str, DataFrame],
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max_open_trades: int = 0, realistic: bool = True) -> DataFrame:
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max_open_trades: int = 0, realistic: bool = True, sell_profit_only: bool = False, stoploss: int = -1.00) -> DataFrame:
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"""
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Implements backtesting functionality
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:param stake_amount: btc amount to use for each trade
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@ -110,8 +110,10 @@ def backtest(stake_amount: float, processed: Dict[str, DataFrame],
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# Increase trade_count_lock for every iteration
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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_percent = trade.calc_profit_percent(rate=row2.close)
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current_profit_percent = trade.calc_profit_percent(rate=row2.close)
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if (sell_profit_only and current_profit_percent < 0) :
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continue
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if min_roi_reached(trade, row2.close, row2.date) or row2.sell == 1 or current_profit_percent < stoploss:
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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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@ -172,7 +174,7 @@ def start(args):
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# Execute backtest and print results
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results = backtest(
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config['stake_amount'], preprocessed, max_open_trades, args.realistic_simulation
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config['stake_amount'], preprocessed, max_open_trades, args.realistic_simulation, config.get('experimental',{}).get('sell_profit_only', False), config.get('stoploss')
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)
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logger.info(
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'\n====================== BACKTESTING REPORT ================================\n%s',
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