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Merge branch 'develop' into pr/mkavinkumar1/6545

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Matthias
2022-06-14 06:36:16 +02:00
parent fe5d74cbc4 01a68e1060
commit 060f12572e
52 changed files with 1053 additions and 1028 deletions
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103
freqtrade/strategy/hyper.py
View File

@@ -4,9 +4,8 @@ This module defines a base class for auto-hyperoptable strategies.
"""
import logging
from pathlib import Path
from typing import Any, Dict, Iterator, List, Tuple
from typing import Any, Dict, Iterator, List, Tuple, Type, Union
from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
from freqtrade.misc import deep_merge_dicts, json_load
from freqtrade.optimize.hyperopt_tools import HyperoptTools
@@ -31,7 +30,10 @@ class HyperStrategyMixin:
self.ft_sell_params: List[BaseParameter] = []
self.ft_protection_params: List[BaseParameter] = []
self._load_hyper_params(config.get('runmode') == RunMode.HYPEROPT)
params = self.load_params_from_file()
params = params.get('params', {})
self._ft_params_from_file = params
# Init/loading of parameters is done as part of ft_bot_start().
def enumerate_parameters(self, category: str = None) -> Iterator[Tuple[str, BaseParameter]]:
"""
@@ -51,28 +53,13 @@ class HyperStrategyMixin:
for par in params:
yield par.name, par
@classmethod
def detect_parameters(cls, category: str) -> Iterator[Tuple[str, BaseParameter]]:
""" Detect all parameters for 'category' """
for attr_name in dir(cls):
if not attr_name.startswith('__'): # Ignore internals, not strictly necessary.
attr = getattr(cls, attr_name)
if issubclass(attr.__class__, BaseParameter):
if (attr_name.startswith(category + '_')
and attr.category is not None and attr.category != category):
raise OperationalException(
f'Inconclusive parameter name {attr_name}, category: {attr.category}.')
if (category == attr.category or
(attr_name.startswith(category + '_') and attr.category is None)):
yield attr_name, attr
@classmethod
def detect_all_parameters(cls) -> Dict:
""" Detect all parameters and return them as a list"""
params: Dict[str, Any] = {
'buy': list(cls.detect_parameters('buy')),
'sell': list(cls.detect_parameters('sell')),
'protection': list(cls.detect_parameters('protection')),
'buy': list(detect_parameters(cls, 'buy')),
'sell': list(detect_parameters(cls, 'sell')),
'protection': list(detect_parameters(cls, 'protection')),
}
params.update({
'count': len(params['buy'] + params['sell'] + params['protection'])
@@ -80,21 +67,49 @@ class HyperStrategyMixin:
return params
def _load_hyper_params(self, hyperopt: bool = False) -> None:
def ft_load_params_from_file(self) -> None:
"""
Load Parameters from parameter file
Should/must run before config values are loaded in strategy_resolver.
"""
if self._ft_params_from_file:
# Set parameters from Hyperopt results file
params = self._ft_params_from_file
self.minimal_roi = params.get('roi', getattr(self, 'minimal_roi', {}))
self.stoploss = params.get('stoploss', {}).get(
'stoploss', getattr(self, 'stoploss', -0.1))
trailing = params.get('trailing', {})
self.trailing_stop = trailing.get(
'trailing_stop', getattr(self, 'trailing_stop', False))
self.trailing_stop_positive = trailing.get(
'trailing_stop_positive', getattr(self, 'trailing_stop_positive', None))
self.trailing_stop_positive_offset = trailing.get(
'trailing_stop_positive_offset',
getattr(self, 'trailing_stop_positive_offset', 0))
self.trailing_only_offset_is_reached = trailing.get(
'trailing_only_offset_is_reached',
getattr(self, 'trailing_only_offset_is_reached', 0.0))
def ft_load_hyper_params(self, hyperopt: bool = False) -> None:
"""
Load Hyperoptable parameters
Prevalence:
* Parameters from parameter file
* Parameters defined in parameters objects (buy_params, sell_params, ...)
* Parameter defaults
"""
params = self.load_params_from_file()
params = params.get('params', {})
self._ft_params_from_file = params
buy_params = deep_merge_dicts(params.get('buy', {}), getattr(self, 'buy_params', {}))
sell_params = deep_merge_dicts(params.get('sell', {}), getattr(self, 'sell_params', {}))
protection_params = deep_merge_dicts(params.get('protection', {}),
buy_params = deep_merge_dicts(self._ft_params_from_file.get('buy', {}),
getattr(self, 'buy_params', {}))
sell_params = deep_merge_dicts(self._ft_params_from_file.get('sell', {}),
getattr(self, 'sell_params', {}))
protection_params = deep_merge_dicts(self._ft_params_from_file.get('protection', {}),
getattr(self, 'protection_params', {}))
self._load_params(buy_params, 'buy', hyperopt)
self._load_params(sell_params, 'sell', hyperopt)
self._load_params(protection_params, 'protection', hyperopt)
self._ft_load_params(buy_params, 'buy', hyperopt)
self._ft_load_params(sell_params, 'sell', hyperopt)
self._ft_load_params(protection_params, 'protection', hyperopt)
def load_params_from_file(self) -> Dict:
filename_str = getattr(self, '__file__', '')
@@ -117,7 +132,7 @@ class HyperStrategyMixin:
return {}
def _load_params(self, params: Dict, space: str, hyperopt: bool = False) -> None:
def _ft_load_params(self, params: Dict, space: str, hyperopt: bool = False) -> None:
"""
Set optimizable parameter values.
:param params: Dictionary with new parameter values.
@@ -126,7 +141,7 @@ class HyperStrategyMixin:
logger.info(f"No params for {space} found, using default values.")
param_container: List[BaseParameter] = getattr(self, f"ft_{space}_params")
for attr_name, attr in self.detect_parameters(space):
for attr_name, attr in detect_parameters(self, space):
attr.name = attr_name
attr.in_space = hyperopt and HyperoptTools.has_space(self.config, space)
if not attr.category:
@@ -157,3 +172,25 @@ class HyperStrategyMixin:
if not p.optimize or not p.in_space:
params[p.category][name] = p.value
return params
def detect_parameters(
obj: Union[HyperStrategyMixin, Type[HyperStrategyMixin]],
category: str
) -> Iterator[Tuple[str, BaseParameter]]:
"""
Detect all parameters for 'category' for "obj"
:param obj: Strategy object or class
:param category: category - usually `'buy', 'sell', 'protection',...
"""
for attr_name in dir(obj):
if not attr_name.startswith('__'): # Ignore internals, not strictly necessary.
attr = getattr(obj, attr_name)
if issubclass(attr.__class__, BaseParameter):
if (attr_name.startswith(category + '_')
and attr.category is not None and attr.category != category):
raise OperationalException(
f'Inconclusive parameter name {attr_name}, category: {attr.category}.')
if (category == attr.category or
(attr_name.startswith(category + '_') and attr.category is None)):
yield attr_name, attr

14
freqtrade/strategy/interface.py
View File

@@ -14,6 +14,7 @@ from freqtrade.constants import ListPairsWithTimeframes
from freqtrade.data.dataprovider import DataProvider
from freqtrade.enums import (CandleType, ExitCheckTuple, ExitType, SignalDirection, SignalTagType,
SignalType, TradingMode)
from freqtrade.enums.runmode import RunMode
from freqtrade.exceptions import OperationalException, StrategyError
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date, timeframe_to_seconds
from freqtrade.persistence import Order, PairLocks, Trade
@@ -151,6 +152,8 @@ class IStrategy(ABC, HyperStrategyMixin):
"""
strategy_safe_wrapper(self.bot_start)()
self.ft_load_hyper_params(self.config.get('runmode') == RunMode.HYPEROPT)
@abstractmethod
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
@@ -284,8 +287,9 @@ class IStrategy(ABC, HyperStrategyMixin):
:param pair: Pair that's about to be bought/shorted.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in target (quote) currency that's going to be traded.
:param amount: Amount in target (base) currency that's going to be traded.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param current_time: datetime object, containing the current datetime
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
@@ -311,8 +315,9 @@ class IStrategy(ABC, HyperStrategyMixin):
:param pair: Pair for trade that's about to be exited.
:param trade: trade object.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param amount: Amount in base currency.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param exit_reason: Exit reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
@@ -515,8 +520,8 @@ class IStrategy(ABC, HyperStrategyMixin):
return current_order_rate
def leverage(self, pair: str, current_time: datetime, current_rate: float,
proposed_leverage: float, max_leverage: float, side: str,
**kwargs) -> float:
proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
side: str, **kwargs) -> float:
"""
Customize leverage for each new trade. This method is only called in futures mode.
@@ -525,6 +530,7 @@ class IStrategy(ABC, HyperStrategyMixin):
:param current_rate: Rate, calculated based on pricing settings in exit_pricing.
:param proposed_leverage: A leverage proposed by the bot.
:param max_leverage: Max leverage allowed on this pair
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param side: 'long' or 'short' - indicating the direction of the proposed trade
:return: A leverage amount, which is between 1.0 and max_leverage.
"""