Add low_profit_pairs
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@ -21,6 +21,21 @@ Protections will protect your strategy from unexpected events and market conditi
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!!! Note
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`StoplossGuard` considers all trades with the results `"stop_loss"` and `"trailing_stop_loss"` if the result was negative.
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#### Low Profit Pairs
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`LowProfitpairs` uses all trades for a pair within a `lookback_period` (in minutes) to determine the overall profit ratio.
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If that ratio is below `required_profit`, that pair will be locked for `stop_duration` (in minutes).
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```json
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"protections": [{
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"method": "LowProfitpairs",
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"lookback_period": 60,
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"trade_limit": 4,
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"stop_duration": 60,
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"required_profit": 0.02
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}],
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```
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### Full example of Protections
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The below example stops trading if more than 4 stoploss occur within a 1 hour (60 minute) limit.
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@ -27,7 +27,7 @@ AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList',
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'AgeFilter', 'PerformanceFilter', 'PrecisionFilter',
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'PriceFilter', 'RangeStabilityFilter', 'ShuffleFilter',
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'SpreadFilter']
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AVAILABLE_PROTECTIONS = ['StoplossGuard', 'CooldownPeriod']
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AVAILABLE_PROTECTIONS = ['StoplossGuard', 'CooldownPeriod', 'LowProfitpairs']
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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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81
freqtrade/plugins/protections/low_profit_pairs.py
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81
freqtrade/plugins/protections/low_profit_pairs.py
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@ -0,0 +1,81 @@
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import logging
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from datetime import datetime, timedelta
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from typing import Any, Dict
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from freqtrade.persistence import Trade
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from freqtrade.plugins.protections import IProtection, ProtectionReturn
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logger = logging.getLogger(__name__)
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class LowProfitpairs(IProtection):
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def __init__(self, config: Dict[str, Any], protection_config: Dict[str, Any]) -> None:
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super().__init__(config, protection_config)
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self._lookback_period = protection_config.get('lookback_period', 60)
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self._trade_limit = protection_config.get('trade_limit', 1)
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self._stop_duration = protection_config.get('stop_duration', 60)
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self._required_profit = protection_config.get('required_profit', 0.0)
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def short_desc(self) -> str:
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"""
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Short method description - used for startup-messages
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"""
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return (f"{self.name} - Low Profit Protection, locks pairs with "
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f"profit < {self._required_profit} within {self._lookback_period} minutes.")
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def _reason(self, profit: float) -> str:
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"""
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LockReason to use
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"""
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return (f'{profit} < {self._required_profit} in {self._lookback_period} min, '
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f'locking for {self._stop_duration} min.')
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def _low_profit(self, date_now: datetime, pair: str) -> ProtectionReturn:
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"""
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Evaluate recent trades for pair
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"""
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look_back_until = date_now - timedelta(minutes=self._lookback_period)
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filters = [
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Trade.is_open.is_(False),
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Trade.close_date > look_back_until,
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]
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if pair:
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filters.append(Trade.pair == pair)
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trades = Trade.get_trades(filters).all()
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if len(trades) < self._trade_limit:
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# Not enough trades in the relevant period
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return False, None, None
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profit = sum(trade.close_profit for trade in trades)
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if profit < self._required_profit:
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self.log_on_refresh(
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logger.info,
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f"Trading for {pair} stopped due to {profit} < {self._required_profit} "
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f"within {self._lookback_period} minutes.")
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until = date_now + timedelta(minutes=self._stop_duration)
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return True, until, self._reason(profit)
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return False, None, None
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def global_stop(self, date_now: datetime) -> ProtectionReturn:
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"""
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Stops trading (position entering) for all pairs
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This must evaluate to true for the whole period of the "cooldown period".
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:return: Tuple of [bool, until, reason].
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If true, all pairs will be locked with <reason> until <until>
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"""
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return False, None, None
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def stop_per_pair(self, pair: str, date_now: datetime) -> ProtectionReturn:
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"""
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Stops trading (position entering) for this pair
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This must evaluate to true for the whole period of the "cooldown period".
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:return: Tuple of [bool, until, reason].
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If true, this pair will be locked with <reason> until <until>
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"""
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return self._low_profit(date_now, pair=None)
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