fix custom_exit (thanks @paranoidandy)
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@ -234,20 +234,19 @@ class FreqaiExampleStrategy(IStrategy):
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def get_ticker_indicator(self):
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return int(self.config["timeframe"][:-1])
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def custom_exit(
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self, pair: str, trade: Trade, current_time, current_rate, current_profit, **kwargs
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):
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def custom_exit(self, pair: str, trade: Trade, current_time, current_rate,
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current_profit, **kwargs):
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dataframe, _ = self.dp.get_analyzed_dataframe(pair=pair, timeframe=self.timeframe)
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trade_date = timeframe_to_prev_date(self.config["timeframe"], trade.open_date_utc)
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trade_candle = dataframe.loc[(dataframe["date"] == trade_date)]
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trade_date = timeframe_to_prev_date(self.config['timeframe'], trade.open_date_utc)
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trade_candle = dataframe.loc[(dataframe['date'] == trade_date)]
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if trade_candle.empty:
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return None
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trade_candle = trade_candle.squeeze()
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follow_mode = self.config.get("freqai", {}).get("follow_mode", False)
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follow_mode = self.config.get('freqai', {}).get('follow_mode', False)
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if not follow_mode:
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pair_dict = self.model.bridge.data_drawer.pair_dict
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@ -256,40 +255,30 @@ class FreqaiExampleStrategy(IStrategy):
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entry_tag = trade.enter_tag
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if "prediction" + entry_tag not in pair_dict[pair]:
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if ('prediction' + entry_tag not in pair_dict[pair] or
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pair_dict[pair]['prediction' + entry_tag] == 0):
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with self.model.bridge.lock:
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pair_dict[pair]["prediction" + entry_tag] = abs(trade_candle["prediction"])
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pair_dict[pair]['prediction' + entry_tag] = abs(trade_candle['prediction'])
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if not follow_mode:
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self.model.bridge.data_drawer.save_drawer_to_disk()
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else:
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self.model.bridge.data_drawer.save_follower_dict_to_dist()
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else:
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if pair_dict[pair]["prediction" + entry_tag] > 0:
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roi_price = abs(trade_candle["prediction"])
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else:
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with self.model.bridge.lock:
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pair_dict[pair]["prediction" + entry_tag] = abs(trade_candle["prediction"])
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if not follow_mode:
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self.model.bridge.data_drawer.save_drawer_to_disk()
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else:
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self.model.bridge.data_drawer.save_follower_dict_to_dist()
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roi_price = abs(trade_candle["prediction"])
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roi_price = pair_dict[pair]['prediction' + entry_tag]
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roi_time = self.max_roi_time_long.value
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roi_decay = roi_price * (
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1 - ((current_time - trade.open_date_utc).seconds) / (roi_time * 60)
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)
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roi_decay = roi_price * (1 - ((current_time - trade.open_date_utc).seconds) /
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(roi_time * 60))
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if roi_decay < 0:
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roi_decay = self.linear_roi_offset.value
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else:
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roi_decay += self.linear_roi_offset.value
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if current_profit > roi_decay:
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return "roi_custom_win"
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return 'roi_custom_win'
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if current_profit < -roi_decay:
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return "roi_custom_loss"
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return 'roi_custom_loss'
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def confirm_trade_exit(
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self,
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