Edge import cosmetics
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@ -8,10 +8,10 @@ import numpy as np
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import utils_find_1st as utf1st
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import utils_find_1st as utf1st
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from pandas import DataFrame
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from pandas import DataFrame
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from freqtrade import constants
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from freqtrade.configuration import TimeRange
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from freqtrade.configuration import TimeRange
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from freqtrade.data import history
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from freqtrade.constants import UNLIMITED_STAKE_AMOUNT
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from freqtrade.exceptions import OperationalException
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from freqtrade.exceptions import OperationalException
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from freqtrade.data.history import get_timerange, load_data, refresh_data
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from freqtrade.strategy.interface import SellType
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from freqtrade.strategy.interface import SellType
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@ -54,7 +54,7 @@ class Edge:
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if self.config['max_open_trades'] != float('inf'):
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if self.config['max_open_trades'] != float('inf'):
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logger.critical('max_open_trades should be -1 in config !')
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logger.critical('max_open_trades should be -1 in config !')
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if self.config['stake_amount'] != constants.UNLIMITED_STAKE_AMOUNT:
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if self.config['stake_amount'] != UNLIMITED_STAKE_AMOUNT:
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raise OperationalException('Edge works only with unlimited stake amount')
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raise OperationalException('Edge works only with unlimited stake amount')
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# Deprecated capital_available_percentage. Will use tradable_balance_ratio in the future.
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# Deprecated capital_available_percentage. Will use tradable_balance_ratio in the future.
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@ -96,7 +96,7 @@ class Edge:
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logger.info('Using local backtesting data (using whitelist in given config) ...')
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logger.info('Using local backtesting data (using whitelist in given config) ...')
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if self._refresh_pairs:
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if self._refresh_pairs:
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history.refresh_data(
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refresh_data(
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datadir=self.config['datadir'],
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datadir=self.config['datadir'],
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pairs=pairs,
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pairs=pairs,
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exchange=self.exchange,
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exchange=self.exchange,
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@ -104,7 +104,7 @@ class Edge:
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timerange=self._timerange,
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timerange=self._timerange,
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)
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)
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data = history.load_data(
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data = load_data(
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datadir=self.config['datadir'],
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datadir=self.config['datadir'],
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pairs=pairs,
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pairs=pairs,
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timeframe=self.strategy.ticker_interval,
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timeframe=self.strategy.ticker_interval,
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@ -122,7 +122,7 @@ class Edge:
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preprocessed = self.strategy.ohlcvdata_to_dataframe(data)
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preprocessed = self.strategy.ohlcvdata_to_dataframe(data)
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# Print timeframe
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# Print timeframe
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min_date, max_date = history.get_timerange(preprocessed)
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min_date, max_date = get_timerange(preprocessed)
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logger.info(
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logger.info(
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'Measuring data from %s up to %s (%s days) ...',
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'Measuring data from %s up to %s (%s days) ...',
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min_date.isoformat(),
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min_date.isoformat(),
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