Merge 423645652b
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@ -25,6 +25,8 @@ All protection end times are rounded up to the next candle to avoid sudden, unex
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* [`MaxDrawdown`](#maxdrawdown) Stop trading if max-drawdown is reached.
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* [`LowProfitPairs`](#low-profit-pairs) Lock pairs with low profits
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* [`CooldownPeriod`](#cooldown-period) Don't enter a trade right after selling a trade.
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* [`ProfitLimit`](#profit-limit) Stop trading once a set profit limit is reached
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### Common settings to all Protections
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@ -139,6 +141,27 @@ def protections(self):
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This Protection applies only at pair-level, and will never lock all pairs globally.
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This Protection does not consider `lookback_period` as it only looks at the latest trade.
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#### Profit Limit
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`ProfitLimit` uses all trades for a pair within `lookback_period` in minutes (or in candles when using `lookback_period_candles`) to determine the overall profit ratio.
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If that ratio is greater than `profit_limit`, all pairs will be locked for `stop_duration` in minutes (or in candles when using `stop_duration_candles`).
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The below example will stop trading a pair for 180 minutes if the total profit from all trades reaches 1% (and a minimum of 3 trades) within the last 6 candles.
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``` python
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@property
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def protections(self):
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return [
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{
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"method": "ProfitLimit",
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"lookback_period_candles": 6,
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"trade_limit": 3,
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"stop_duration": 180,
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"profit_limit": 0.01
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}
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]
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```
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### Full example of Protections
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All protections can be combined at will, also with different parameters, creating a increasing wall for under-performing pairs.
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@ -151,6 +174,7 @@ The below example assumes a timeframe of 1 hour:
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* Stops trading if more than 4 stoploss occur for all pairs within a 1 day (`24 * 1h candles`) limit (`StoplossGuard`).
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* Locks all pairs that had 4 Trades within the last 6 hours (`6 * 1h candles`) with a combined profit ratio of below 0.02 (<2%) (`LowProfitPairs`).
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* Locks all pairs for 2 candles that had a profit of below 0.01 (<1%) within the last 24h (`24 * 1h candles`), a minimum of 4 trades.
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* Locks all pairs for 360 minutes once a profit of 0.02 (2%) is achieved within the last 800 candles , a minimum of 2 trades.
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``` python
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from freqtrade.strategy import IStrategy
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@ -192,6 +216,13 @@ class AwesomeStrategy(IStrategy)
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"trade_limit": 4,
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"stop_duration_candles": 2,
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"required_profit": 0.01
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},
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{
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"method": "ProfitLimit",
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"lookback_period_candles": 800,
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"trade_limit": 2,
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"stop_duration": 360,
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"profit_limit": 0.02
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}
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]
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# ...
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@ -35,7 +35,8 @@ AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList', 'ProducerPairList',
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'AgeFilter', 'OffsetFilter', 'PerformanceFilter',
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'PrecisionFilter', 'PriceFilter', 'RangeStabilityFilter',
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'ShuffleFilter', 'SpreadFilter', 'VolatilityFilter']
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AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown', 'StoplossGuard']
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AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown',
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'StoplossGuard', 'ProfitLimit']
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AVAILABLE_DATAHANDLERS_TRADES = ['json', 'jsongz', 'hdf5']
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AVAILABLE_DATAHANDLERS = AVAILABLE_DATAHANDLERS_TRADES + ['feather', 'parquet']
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BACKTEST_BREAKDOWNS = ['day', 'week', 'month']
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87
freqtrade/plugins/protections/profit_limit.py
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87
freqtrade/plugins/protections/profit_limit.py
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@ -0,0 +1,87 @@
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import logging
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from datetime import datetime, timedelta
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from typing import Any, Dict, Optional
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from freqtrade.constants import Config, LongShort
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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 ProfitLimit(IProtection):
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has_global_stop: bool = True
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has_local_stop: bool = False
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def __init__(self, config: Config, protection_config: Dict[str, Any]) -> None:
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super().__init__(config, protection_config)
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self._trade_limit = protection_config.get('trade_limit', 1)
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self._required_profit = protection_config.get('profit_limit', 1.0)
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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} - Profit Limit Protection, locks all pairs when "
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f"profit > {self._required_profit} within {self.lookback_period_str}.")
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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_str}, '
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f'locking for {self.stop_duration_str}.')
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def _limit_profit(
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self, date_now: datetime) -> Optional[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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trades = Trade.get_trades_proxy(is_open=False, close_date=look_back_until)
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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 None
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profit_sum = sum(trade.close_profit_abs for trade in trades if trade.close_profit_abs)
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stake_sum = sum(trade.stake_amount for trade in trades)
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profit_ratio = profit_sum / stake_sum
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if profit_ratio >= self._required_profit:
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self.log_once(
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f"Trading stopped due to {profit_ratio:.2f} >= {self._required_profit} "
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f"within {self._lookback_period} minutes.", logger.info)
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until = self.calculate_lock_end(trades, self._stop_duration)
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return ProtectionReturn(
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lock=True,
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until=until,
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reason=self._reason(profit_ratio)
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)
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return None
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def global_stop(self, date_now: datetime, side: LongShort) -> Optional[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 self._limit_profit(date_now)
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def stop_per_pair(
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self, pair: str, date_now: datetime, side: LongShort) -> Optional[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 None
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