Merge pull request #3975 from freqtrade/volatility_filter
RangeStabilityFilter filter - filter for pairs without much movement
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@@ -25,7 +25,7 @@ HYPEROPT_LOSS_BUILTIN = ['ShortTradeDurHyperOptLoss', 'OnlyProfitHyperOptLoss',
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'SortinoHyperOptLoss', 'SortinoHyperOptLossDaily']
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AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList',
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'AgeFilter', 'PrecisionFilter', 'PriceFilter',
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'ShuffleFilter', 'SpreadFilter']
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'RangeStabilityFilter', 'ShuffleFilter', 'SpreadFilter']
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AVAILABLE_DATAHANDLERS = ['json', 'jsongz', 'hdf5']
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DRY_RUN_WALLET = 1000
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DATETIME_PRINT_FORMAT = '%Y-%m-%d %H:%M:%S'
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@@ -679,12 +679,25 @@ class Exchange:
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:param pair: Pair to download
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:param timeframe: Timeframe to get data for
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:param since_ms: Timestamp in milliseconds to get history from
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:returns List with candle (OHLCV) data
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:return: List with candle (OHLCV) data
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"""
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return asyncio.get_event_loop().run_until_complete(
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self._async_get_historic_ohlcv(pair=pair, timeframe=timeframe,
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since_ms=since_ms))
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def get_historic_ohlcv_as_df(self, pair: str, timeframe: str,
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since_ms: int) -> DataFrame:
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"""
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Minimal wrapper around get_historic_ohlcv - converting the result into a dataframe
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:param pair: Pair to download
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:param timeframe: Timeframe to get data for
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:param since_ms: Timestamp in milliseconds to get history from
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:return: OHLCV DataFrame
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"""
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ticks = self.get_historic_ohlcv(pair, timeframe, since_ms=since_ms)
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return ohlcv_to_dataframe(ticks, timeframe, pair=pair, fill_missing=True,
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drop_incomplete=self._ohlcv_partial_candle)
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async def _async_get_historic_ohlcv(self, pair: str,
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timeframe: str,
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since_ms: int) -> List:
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@@ -49,7 +49,7 @@ class AgeFilter(IPairList):
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return (f"{self.name} - Filtering pairs with age less than "
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f"{self._min_days_listed} {plural(self._min_days_listed, 'day')}.")
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def _validate_pair(self, ticker: dict) -> bool:
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def _validate_pair(self, ticker: Dict) -> bool:
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"""
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Validate age for the ticker
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:param ticker: ticker dict as returned from ccxt.load_markets()
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89
freqtrade/pairlist/rangestabilityfilter.py
Normal file
89
freqtrade/pairlist/rangestabilityfilter.py
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@@ -0,0 +1,89 @@
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"""
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Rate of change pairlist 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 RangeStabilityFilter(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('lookback_days', 10)
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self._min_rate_of_change = pairlistconfig.get('min_rate_of_change', 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("RangeStabilityFilter requires lookback_days to be >= 1")
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if self._days > exchange.ohlcv_candle_limit:
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raise OperationalException("RangeStabilityFilter requires lookback_days to not "
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"exceed 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 rate of change below "
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f"{self._min_rate_of_change} 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 trading range
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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 and not daily_candles.empty:
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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) if lowest_low > 0 else 0
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if pct_change >= self._min_rate_of_change:
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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 rate of change 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_rate_of_change}.")
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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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