90 lines
3.4 KiB
Python
90 lines
3.4 KiB
Python
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"""
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Minimum age (days listed) pair list filter
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"""
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import logging
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from typing import Any, Dict
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import arrow
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from cachetools.ttl import TTLCache
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from freqtrade.exceptions import OperationalException
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from freqtrade.misc import plural
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from freqtrade.pairlist.IPairList import IPairList
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logger = logging.getLogger(__name__)
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class VolatilityFilter(IPairList):
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def __init__(self, exchange, pairlistmanager,
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config: Dict[str, Any], pairlistconfig: Dict[str, Any],
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pairlist_pos: int) -> None:
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super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
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self._days = pairlistconfig.get('volatility_over_days', 10)
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self._min_volatility = pairlistconfig.get('min_volatility', 0.01)
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self._refresh_period = pairlistconfig.get('refresh_period', 1440)
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self._pair_cache: TTLCache = TTLCache(maxsize=100, ttl=self._refresh_period)
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if self._days < 1:
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raise OperationalException("VolatilityFilter requires min_days_listed to be >= 1")
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if self._days > exchange.ohlcv_candle_limit:
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raise OperationalException("VolatilityFilter requires min_days_listed to not exceed "
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"exchange max request size "
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f"({exchange.ohlcv_candle_limit})")
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@property
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def needstickers(self) -> bool:
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"""
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Boolean property defining if tickers are necessary.
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If no Pairlist requires tickers, an empty List is passed
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as tickers argument to filter_pairlist
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"""
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return True
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def short_desc(self) -> str:
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"""
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Short whitelist method description - used for startup-messages
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"""
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return (f"{self.name} - Filtering pairs with volatility below {self._min_volatility} "
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f"over the last {plural(self._days, 'day')}.")
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def _validate_pair(self, ticker: Dict) -> bool:
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"""
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Validate volatility
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:param ticker: ticker dict as returned from ccxt.load_markets()
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:return: True if the pair can stay, False if it should be removed
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"""
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pair = ticker['symbol']
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# Check symbol in cache
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if pair in self._pair_cache:
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return self._pair_cache[pair]
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since_ms = int(arrow.utcnow()
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.floor('day')
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.shift(days=-self._days)
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.float_timestamp) * 1000
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daily_candles = self._exchange.get_historic_ohlcv_as_df(pair=pair,
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timeframe='1d',
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since_ms=since_ms)
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result = False
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if daily_candles is not None:
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highest_high = daily_candles['high'].max()
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lowest_low = daily_candles['low'].min()
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pct_change = (highest_high - lowest_low) / lowest_low
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if pct_change >= self._min_volatility:
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result = True
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else:
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self.log_on_refresh(logger.info,
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f"Removed {pair} from whitelist, "
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f"because volatility over {plural(self._days, 'day')} is "
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f"{pct_change:.3f}, which is below the "
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f"threshold of {self._min_volatility}.")
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result = False
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self._pair_cache[pair] = result
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return result
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