[SQUASH] Address PR comments.
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@@ -6,7 +6,7 @@ import logging
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import warnings
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from abc import ABC, abstractmethod
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from datetime import datetime, timedelta, timezone
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from typing import Any, Callable, Dict, List, Optional, Tuple, Union
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from typing import Dict, List, Optional, Tuple, Union
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import arrow
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from pandas import DataFrame
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@@ -19,7 +19,8 @@ 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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from freqtrade.persistence import PairLocks, Trade
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from freqtrade.strategy.hyper import HyperStrategyMixin
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from freqtrade.strategy.strategy_helper import (InformativeData, _create_and_merge_informative_pair,
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from freqtrade.strategy.strategy_helper import (InformativeData, PopulateIndicators,
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_create_and_merge_informative_pair,
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_format_pair_name)
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from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
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from freqtrade.wallets import Wallets
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@@ -138,20 +139,23 @@ class IStrategy(ABC, HyperStrategyMixin):
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# Gather informative pairs from @informative-decorated methods.
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self._ft_informative: Dict[
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Tuple[str, str], Tuple[InformativeData,
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Callable[[Any, DataFrame, dict], DataFrame]]] = {}
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Tuple[str, str], Tuple[InformativeData, PopulateIndicators]] = {}
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for attr_name in dir(self.__class__):
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cls_method = getattr(self.__class__, attr_name)
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if not callable(cls_method):
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continue
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ft_informative = getattr(cls_method, '_ft_informative', [])
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ft_informative = getattr(cls_method, '_ft_informative', None)
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if not isinstance(ft_informative, list):
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# Type check is required because mocker would return a mock object that evaluates to
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# True, confusing this code.
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continue
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strategy_timeframe_minutes = timeframe_to_minutes(self.timeframe)
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for informative_data in ft_informative:
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asset = informative_data.asset
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timeframe = informative_data.timeframe
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if timeframe_to_minutes(timeframe) < strategy_timeframe_minutes:
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raise OperationalException('Informative timeframe must be equal or higher than '
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'strategy timeframe!')
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if asset:
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pair = _format_pair_name(self.config, asset)
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if (pair, timeframe) in self._ft_informative:
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@@ -165,10 +169,6 @@ class IStrategy(ABC, HyperStrategyMixin):
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f'not be defined more than once!')
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self._ft_informative[(pair, timeframe)] = (informative_data, cls_method)
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def _format_pair(self, pair: str) -> str:
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return pair.format(stake_currency=self.config['stake_currency'],
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stake=self.config['stake_currency']).upper()
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@abstractmethod
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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@@ -8,6 +8,9 @@ from freqtrade.exceptions import OperationalException
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from freqtrade.exchange import timeframe_to_minutes
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PopulateIndicators = Callable[[Any, DataFrame, dict], DataFrame]
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class InformativeData(NamedTuple):
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asset: Optional[str]
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timeframe: str
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@@ -118,8 +121,7 @@ def stoploss_from_absolute(stop_rate: float, current_rate: float) -> float:
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def informative(timeframe: str, asset: str = '',
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fmt: Optional[Union[str, Callable[[KwArg(str)], str]]] = None,
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ffill: bool = True) -> Callable[[Callable[[Any, DataFrame, dict], DataFrame]],
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Callable[[Any, DataFrame, dict], DataFrame]]:
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ffill: bool = True) -> Callable[[PopulateIndicators], PopulateIndicators]:
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"""
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A decorator for populate_indicators_Nn(self, dataframe, metadata), allowing these functions to
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define informative indicators.
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@@ -131,24 +133,32 @@ def informative(timeframe: str, asset: str = '',
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dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
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return dataframe
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:param timeframe: Informative timeframe. Must always be higher than strategy timeframe.
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:param timeframe: Informative timeframe. Must always be equal or higher than strategy timeframe.
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:param asset: Informative asset, for example BTC, BTC/USDT, ETH/BTC. Do not specify to use
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current pair.
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:param fmt: Column format (str) or column formatter (callable(name, asset, timeframe)). When not
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specified, defaults to {asset}_{name}_{timeframe} if asset is specified, or {name}_{timeframe}
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otherwise.
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* {asset}: name of informative asset, provided in lower-case, with / replaced with _. Stake
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currency is not included in this string.
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* {name}: user-specified dataframe column name.
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* {timeframe}: informative timeframe.
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:param ffill: ffill dataframe after mering informative pair.
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specified, defaults to:
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* {base}_{column}_{timeframe} if asset is specified and quote currency does match stake
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curerncy.
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* {base}_{quote}_{column}_{timeframe} if asset is specified and quote currency does not match
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stake curerncy.
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* {column}_{timeframe} if asset is not specified.
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Format string supports these format variables:
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* {asset} - full name of the asset, for example 'BTC/USDT'.
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* {base} - base currency in lower case, for example 'eth'.
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* {BASE} - same as {base}, except in upper case.
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* {quote} - quote currency in lower case, for example 'usdt'.
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* {QUOTE} - same as {quote}, except in upper case.
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* {column} - name of dataframe column.
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* {timeframe} - timeframe of informative dataframe.
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:param ffill: ffill dataframe after merging informative pair.
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"""
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_asset = asset
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_timeframe = timeframe
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_fmt = fmt
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_ffill = ffill
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def decorator(fn: Callable[[Any, DataFrame, dict], DataFrame]):
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def decorator(fn: PopulateIndicators):
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informative_pairs = getattr(fn, '_ft_informative', [])
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informative_pairs.append(InformativeData(_asset, _timeframe, _fmt, _ffill))
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setattr(fn, '_ft_informative', informative_pairs)
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