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Sort imports in interface.py

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Matthias 2020-08-24 11:44:32 +02:00
parent c272944834
commit 354a406248
1 changed files with 3 additions and 6 deletions
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freqtrade/strategy/interface.py
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@ -2,7 +2,6 @@
IStrategy interface IStrategy interface
This module defines the interface to apply for strategies This module defines the interface to apply for strategies
""" """
from freqtrade.exchange.exchange import timeframe_to_next_date
import logging import logging
import warnings import warnings
from abc import ABC, abstractmethod from abc import ABC, abstractmethod
@ -15,8 +14,9 @@ from pandas import DataFrame
from freqtrade.constants import ListPairsWithTimeframes from freqtrade.constants import ListPairsWithTimeframes
from freqtrade.data.dataprovider import DataProvider from freqtrade.data.dataprovider import DataProvider
from freqtrade.exceptions import StrategyError, OperationalException from freqtrade.exceptions import OperationalException, StrategyError
from freqtrade.exchange import timeframe_to_minutes from freqtrade.exchange import timeframe_to_minutes
from freqtrade.exchange.exchange import timeframe_to_next_date
from freqtrade.persistence import Trade from freqtrade.persistence import Trade
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from freqtrade.wallets import Wallets from freqtrade.wallets import Wallets
@ -310,10 +310,7 @@ class IStrategy(ABC):
# Locking should happen until a new candle arrives # Locking should happen until a new candle arrives
lock_time = timeframe_to_next_date(self.timeframe, candle_date) lock_time = timeframe_to_next_date(self.timeframe, candle_date)
# lock_time = candle_date + timedelta(minutes=timeframe_to_minutes(self.timeframe)) # lock_time = candle_date + timedelta(minutes=timeframe_to_minutes(self.timeframe))
res = self._pair_locked_until[pair] > lock_time return self._pair_locked_until[pair] > lock_time
logger.debug(f"pair time = {lock_time} - pair_lock = {self._pair_locked_until[pair]} "
f"- res: {res}")
return res
def analyze_ticker(self, dataframe: DataFrame, metadata: dict) -> DataFrame: def analyze_ticker(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
""" """