extract get_history_data from get_signal
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@ -327,13 +327,18 @@ class FreqtradeBot(object):
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if not whitelist:
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if not whitelist:
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raise DependencyException('No currency pairs in whitelist')
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raise DependencyException('No currency pairs in whitelist')
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th = {}
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for _pair in whitelist:
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th[_pair] = self.exchange.get_ticker_history(_pair, interval)
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# Pick pair based on buy signals
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# Pick pair based on buy signals
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bought_at_least_one = False
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for _pair in whitelist:
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for _pair in whitelist:
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(buy, sell) = self.strategy.get_signal(self.exchange, _pair, interval)
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(buy, sell) = self.strategy.get_signal(_pair, interval, th[_pair])
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if buy and not sell:
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if buy and not sell:
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return self.execute_buy(_pair, stake_amount)
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bought_at_least_one |= self.execute_buy(_pair, stake_amount)
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return False
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return bought_at_least_one
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def execute_buy(self, pair: str, stake_amount: float) -> bool:
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def execute_buy(self, pair: str, stake_amount: float) -> bool:
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"""
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"""
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@ -107,14 +107,13 @@ class IStrategy(ABC):
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dataframe = self.populate_sell_trend(dataframe)
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dataframe = self.populate_sell_trend(dataframe)
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return dataframe
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return dataframe
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def get_signal(self, exchange: Exchange, pair: str, interval: str) -> Tuple[bool, bool]:
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def get_signal(self, pair: str, interval: str, ticker_hist: List[Dict]) -> Tuple[bool, bool]:
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"""
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"""
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Calculates current signal based several technical analysis indicators
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Calculates current signal based several technical analysis indicators
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:param pair: pair in format ANT/BTC
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:param pair: pair in format ANT/BTC
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:param interval: Interval to use (in min)
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:param interval: Interval to use (in min)
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:return: (Buy, Sell) A bool-tuple indicating buy/sell signal
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:return: (Buy, Sell) A bool-tuple indicating buy/sell signal
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"""
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"""
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ticker_hist = exchange.get_ticker_history(pair, interval)
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if not ticker_hist:
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if not ticker_hist:
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logger.warning('Empty ticker history for pair %s', pair)
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logger.warning('Empty ticker history for pair %s', pair)
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return False, False
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return False, False
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