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Avoid a few calculations during backtesting
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@ -262,13 +262,22 @@ class Backtesting:
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return ticker
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def _get_close_rate(self, sell_row, trade: Trade, sell, trade_dur) -> float:
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"""
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Get close rate for backtesting result
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"""
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# Special handling if high or low hit STOP_LOSS or ROI
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if sell.sell_type in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):
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# Set close_rate to stoploss
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closerate = trade.stop_loss
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return trade.stop_loss
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elif sell.sell_type == (SellType.ROI):
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roi_entry, roi = self.strategy.min_roi_reached_entry(trade_dur)
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if roi is not None:
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if roi == -1 and roi_entry % self.timeframe_mins == 0:
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# When forceselling with ROI=-1, the roi-entry will always be "on the entry".
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# If that entry is a multiple of the timeframe (so on open)
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# - we'll use open instead of close
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return sell_row.open
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# - (Expected abs profit + open_rate + open_fee) / (fee_close -1)
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closerate = - (trade.open_rate * roi + trade.open_rate *
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(1 + trade.fee_open)) / (trade.fee_close - 1)
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@ -276,19 +285,13 @@ class Backtesting:
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# Use the maximum between closerate and low as we
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# cannot sell outside of a candle.
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# Applies when a new ROI setting comes in place and the whole candle is above that.
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closerate = max(closerate, sell_row.low)
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if roi == -1 and roi_entry % self.timeframe_mins == 0:
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# When forceselling with ROI=-1, the roi-entry will always be "on the entry".
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# If that entry is a multiple of the timeframe (so on open)
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# - we'll use open instead of close
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closerate = max(closerate, sell_row.open)
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return max(closerate, sell_row.low)
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else:
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# This should not be reached...
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closerate = sell_row.open
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return sell_row.open
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else:
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closerate = sell_row.open
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return closerate
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return sell_row.open
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def _get_sell_trade_entry(
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self, pair: str, buy_row: DataFrame,
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