99 lines
3.6 KiB
Python
99 lines
3.6 KiB
Python
"""
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HyperOptAuto class.
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This module implements a convenience auto-hyperopt class, which can be used together with strategies
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that implement IHyperStrategy interface.
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"""
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import logging
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from contextlib import suppress
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from typing import Callable, Dict, List
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from freqtrade.exceptions import OperationalException
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with suppress(ImportError):
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from skopt.space import Dimension
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from freqtrade.optimize.hyperopt_interface import EstimatorType, IHyperOpt
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logger = logging.getLogger(__name__)
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def _format_exception_message(space: str, ignore_missing_space: bool) -> None:
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msg = (f"The '{space}' space is included into the hyperoptimization "
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f"but no parameter for this space was not found in your Strategy. "
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)
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if ignore_missing_space:
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logger.warning(msg + "This space will be ignored.")
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else:
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raise OperationalException(
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msg + f"Please make sure to have parameters for this space enabled for optimization "
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f"or remove the '{space}' space from hyperoptimization.")
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class HyperOptAuto(IHyperOpt):
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"""
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This class delegates functionality to Strategy(IHyperStrategy) and Strategy.HyperOpt classes.
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Most of the time Strategy.HyperOpt class would only implement indicator_space and
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sell_indicator_space methods, but other hyperopt methods can be overridden as well.
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"""
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def _get_func(self, name) -> Callable:
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"""
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Return a function defined in Strategy.HyperOpt class, or one defined in super() class.
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:param name: function name.
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:return: a requested function.
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"""
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hyperopt_cls = getattr(self.strategy, 'HyperOpt', None)
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default_func = getattr(super(), name)
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if hyperopt_cls:
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return getattr(hyperopt_cls, name, default_func)
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else:
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return default_func
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def _generate_indicator_space(self, category):
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for attr_name, attr in self.strategy.enumerate_parameters(category):
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if attr.optimize:
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yield attr.get_space(attr_name)
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def _get_indicator_space(self, category) -> List:
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# TODO: is this necessary, or can we call "generate_space" directly?
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indicator_space = list(self._generate_indicator_space(category))
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if len(indicator_space) > 0:
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return indicator_space
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else:
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_format_exception_message(
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category,
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self.config.get("hyperopt_ignore_missing_space", False))
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return []
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def buy_indicator_space(self) -> List['Dimension']:
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return self._get_indicator_space('buy')
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def sell_indicator_space(self) -> List['Dimension']:
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return self._get_indicator_space('sell')
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def protection_space(self) -> List['Dimension']:
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return self._get_indicator_space('protection')
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def generate_roi_table(self, params: Dict) -> Dict[int, float]:
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return self._get_func('generate_roi_table')(params)
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def roi_space(self) -> List['Dimension']:
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return self._get_func('roi_space')()
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def stoploss_space(self) -> List['Dimension']:
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return self._get_func('stoploss_space')()
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def generate_trailing_params(self, params: Dict) -> Dict:
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return self._get_func('generate_trailing_params')(params)
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def trailing_space(self) -> List['Dimension']:
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return self._get_func('trailing_space')()
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def trades_space(self) -> List['Dimension']:
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return self._get_func('trades_space')()
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def generate_estimator(self, dimensions: List['Dimension'], **kwargs) -> EstimatorType:
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return self._get_func('generate_estimator')(dimensions=dimensions, **kwargs)
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