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@ -25,6 +25,8 @@ All protection end times are rounded up to the next candle to avoid sudden, unex
* [`MaxDrawdown`](#maxdrawdown) Stop trading if max-drawdown is reached.
* [`LowProfitPairs`](#low-profit-pairs) Lock pairs with low profits
* [`CooldownPeriod`](#cooldown-period) Don't enter a trade right after selling a trade.
* [`ProfitLimit`](#profit-limit) Stop trading once a set profit limit is reached
### Common settings to all Protections
@ -139,6 +141,27 @@ def protections(self):
This Protection applies only at pair-level, and will never lock all pairs globally.
This Protection does not consider `lookback_period` as it only looks at the latest trade.
#### Profit Limit
`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.
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`).
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.
``` python
@property
def protections(self):
return [
{
"method": "ProfitLimit",
"lookback_period_candles": 6,
"trade_limit": 3,
"stop_duration": 180,
"profit_limit": 0.01
}
]
```
### Full example of Protections
All protections can be combined at will, also with different parameters, creating a increasing wall for under-performing pairs.
@ -151,6 +174,7 @@ The below example assumes a timeframe of 1 hour:
* Stops trading if more than 4 stoploss occur for all pairs within a 1 day (`24 * 1h candles`) limit (`StoplossGuard`).
* 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`).
* 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.
* 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.
``` python
from freqtrade.strategy import IStrategy
@ -192,6 +216,13 @@ class AwesomeStrategy(IStrategy)
"trade_limit": 4,
"stop_duration_candles": 2,
"required_profit": 0.01
},
{
"method": "ProfitLimit",
"lookback_period_candles": 800,
"trade_limit": 2,
"stop_duration": 360,
"profit_limit": 0.02
}
]
# ...

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@ -35,7 +35,8 @@ AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList', 'ProducerPairList',
'AgeFilter', 'OffsetFilter', 'PerformanceFilter',
'PrecisionFilter', 'PriceFilter', 'RangeStabilityFilter',
'ShuffleFilter', 'SpreadFilter', 'VolatilityFilter']
AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown', 'StoplossGuard']
AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown',
'StoplossGuard', 'ProfitLimit']
AVAILABLE_DATAHANDLERS_TRADES = ['json', 'jsongz', 'hdf5']
AVAILABLE_DATAHANDLERS = AVAILABLE_DATAHANDLERS_TRADES + ['feather', 'parquet']
BACKTEST_BREAKDOWNS = ['day', 'week', 'month']

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@ -0,0 +1,87 @@
import logging
from datetime import datetime, timedelta
from typing import Any, Dict, Optional
from freqtrade.constants import Config, LongShort
from freqtrade.persistence import Trade
from freqtrade.plugins.protections import IProtection, ProtectionReturn
logger = logging.getLogger(__name__)
class ProfitLimit(IProtection):
has_global_stop: bool = True
has_local_stop: bool = False
def __init__(self, config: Config, protection_config: Dict[str, Any]) -> None:
super().__init__(config, protection_config)
self._trade_limit = protection_config.get('trade_limit', 1)
self._required_profit = protection_config.get('profit_limit', 1.0)
def short_desc(self) -> str:
"""
Short method description - used for startup-messages
"""
return (f"{self.name} - Profit Limit Protection, locks all pairs when "
f"profit > {self._required_profit} within {self.lookback_period_str}.")
def _reason(self, profit: float) -> str:
"""
LockReason to use
"""
return (f'{profit} > {self._required_profit} in {self.lookback_period_str}, '
f'locking for {self.stop_duration_str}.')
def _limit_profit(
self, date_now: datetime) -> Optional[ProtectionReturn]:
"""
Evaluate recent trades for pair
"""
look_back_until = date_now - timedelta(minutes=self._lookback_period)
trades = Trade.get_trades_proxy(is_open=False, close_date=look_back_until)
if len(trades) < self._trade_limit:
# Not enough trades in the relevant period
return None
profit_sum = sum(trade.close_profit_abs for trade in trades if trade.close_profit_abs)
stake_sum = sum(trade.stake_amount for trade in trades)
profit_ratio = profit_sum / stake_sum
if profit_ratio >= self._required_profit:
self.log_once(
f"Trading stopped due to {profit_ratio:.2f} >= {self._required_profit} "
f"within {self._lookback_period} minutes.", logger.info)
until = self.calculate_lock_end(trades, self._stop_duration)
return ProtectionReturn(
lock=True,
until=until,
reason=self._reason(profit_ratio)
)
return None
def global_stop(self, date_now: datetime, side: LongShort) -> Optional[ProtectionReturn]:
"""
Stops trading (position entering) for all pairs
This must evaluate to true for the whole period of the "cooldown period".
:return: Tuple of [bool, until, reason].
If true, all pairs will be locked with <reason> until <until>
"""
return self._limit_profit(date_now)
def stop_per_pair(
self, pair: str, date_now: datetime, side: LongShort) -> Optional[ProtectionReturn]:
"""
Stops trading (position entering) for this pair
This must evaluate to true for the whole period of the "cooldown period".
:return: Tuple of [bool, until, reason].
If true, this pair will be locked with <reason> until <until>
"""
return None