Update SellType to ExitType
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@@ -19,7 +19,7 @@ from freqtrade.data import history
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from freqtrade.data.btanalysis import find_existing_backtest_stats, trade_list_to_dataframe
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from freqtrade.data.converter import trim_dataframe, trim_dataframes
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.enums import (BacktestState, CandleType, ExitCheckTuple, MarginMode, SellType,
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from freqtrade.enums import (BacktestState, CandleType, ExitCheckTuple, MarginMode, ExitType,
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TradingMode)
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from freqtrade.exceptions import DependencyException, OperationalException
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds
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@@ -359,9 +359,9 @@ class Backtesting:
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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.exit_type in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):
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if sell.exit_type in (ExitType.STOP_LOSS, ExitType.TRAILING_STOP_LOSS):
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return self._get_close_rate_for_stoploss(sell_row, trade, sell, trade_dur)
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elif sell.exit_type == (SellType.ROI):
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elif sell.exit_type == (ExitType.ROI):
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return self._get_close_rate_for_roi(sell_row, trade, sell, trade_dur)
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else:
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return sell_row[OPEN_IDX]
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@@ -384,7 +384,7 @@ class Backtesting:
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# Special case: trailing triggers within same candle as trade opened. Assume most
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# pessimistic price movement, which is moving just enough to arm stoploss and
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# immediately going down to stop price.
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if sell.exit_type == SellType.TRAILING_STOP_LOSS and trade_dur == 0:
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if sell.exit_type == ExitType.TRAILING_STOP_LOSS and trade_dur == 0:
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if (
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not self.strategy.use_custom_stoploss and self.strategy.trailing_stop
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and self.strategy.trailing_only_offset_is_reached
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@@ -533,7 +533,7 @@ class Backtesting:
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# call the custom exit price,with default value as previous closerate
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current_profit = trade.calc_profit_ratio(closerate)
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order_type = self.strategy.order_types['exit']
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if sell.exit_type in (SellType.SELL_SIGNAL, SellType.CUSTOM_SELL):
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if sell.exit_type in (ExitType.SELL_SIGNAL, ExitType.CUSTOM_SELL):
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# Custom exit pricing only for sell-signals
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if order_type == 'limit':
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closerate = strategy_safe_wrapper(self.strategy.custom_exit_price,
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@@ -814,7 +814,7 @@ class Backtesting:
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sell_row = data[pair][-1]
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trade.close_date = sell_row[DATE_IDX].to_pydatetime()
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trade.sell_reason = SellType.FORCE_SELL.value
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trade.sell_reason = ExitType.FORCE_SELL.value
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trade.close(sell_row[OPEN_IDX], show_msg=False)
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LocalTrade.close_bt_trade(trade)
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# Deepcopy object to have wallets update correctly
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