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