stable/freqtrade/optimize/hyperopt_loss_profit_drawdown.py

32 lines
1.0 KiB
Python
Raw Normal View History

2022-02-06 14:40:54 +00:00
"""
ProfitDrawDownHyperOptLoss
This module defines the alternative HyperOptLoss class based on Profit &
Drawdown objective which can be used for Hyperoptimization.
Possible to change `DRAWDOWN_MULT` to penalize drawdown objective for
individual needs.
"""
from pandas import DataFrame
2022-02-06 16:13:09 +00:00
2022-02-06 14:40:54 +00:00
from freqtrade.data.btanalysis import calculate_max_drawdown
2022-02-06 16:13:09 +00:00
from freqtrade.optimize.hyperopt import IHyperOptLoss
2022-02-06 14:40:54 +00:00
# higher numbers penalize drawdowns more severely
DRAWDOWN_MULT = 0.075
2022-02-06 14:40:54 +00:00
class ProfitDrawDownHyperOptLoss(IHyperOptLoss):
@staticmethod
def hyperopt_loss_function(results: DataFrame, trade_count: int, *args, **kwargs) -> float:
total_profit = results["profit_abs"].sum()
try:
_, _, _, _, _, max_drawdown_abs = calculate_max_drawdown(results, value_col="profit_abs")
# max_drawdown_abs = calculate_max_drawdown(results, value_col="profit_abs")[5]
2022-02-06 14:40:54 +00:00
except ValueError:
2022-02-07 05:22:27 +00:00
max_drawdown_abs = 0
2022-02-06 14:40:54 +00:00
2022-02-07 05:22:27 +00:00
return -1 * (total_profit * (1 - max_drawdown_abs * DRAWDOWN_MULT))