run linter
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@@ -3,5 +3,5 @@ from freqtrade.enums.backteststate import BacktestState
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from freqtrade.enums.rpcmessagetype import RPCMessageType
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from freqtrade.enums.runmode import NON_UTIL_MODES, OPTIMIZE_MODES, TRADING_MODES, RunMode
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from freqtrade.enums.selltype import SellType
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from freqtrade.enums.signaltype import SignalType, SignalNameType
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from freqtrade.enums.signaltype import SignalNameType, SignalType
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from freqtrade.enums.state import State
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@@ -420,7 +420,11 @@ class FreqtradeBot(LoggingMixin):
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return False
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# running get_signal on historical data fetched
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(buy, sell, buy_signal_name) = self.strategy.get_signal(pair, self.strategy.timeframe, analyzed_df)
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(buy, sell, buy_signal_name) = self.strategy.get_signal(
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pair,
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self.strategy.timeframe,
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analyzed_df
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)
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if buy and not sell:
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stake_amount = self.wallets.get_trade_stake_amount(pair, self.edge)
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@@ -693,7 +697,11 @@ class FreqtradeBot(LoggingMixin):
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analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(trade.pair,
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self.strategy.timeframe)
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(buy, sell, _) = self.strategy.get_signal(trade.pair, self.strategy.timeframe, analyzed_df)
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(buy, sell, _) = self.strategy.get_signal(
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trade.pair,
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self.strategy.timeframe,
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analyzed_df
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)
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logger.debug('checking sell')
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sell_rate = self.exchange.get_rate(trade.pair, refresh=True, side="sell")
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@@ -13,7 +13,7 @@ from pandas import DataFrame
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from freqtrade.constants import ListPairsWithTimeframes
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.enums import SellType, SignalType, SignalNameType
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from freqtrade.enums import SellType, SignalNameType, SignalType
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from freqtrade.exceptions import OperationalException, StrategyError
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds
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from freqtrade.exchange.exchange import timeframe_to_next_date
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