mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 10:21:59 +00:00
345 lines
14 KiB
Python
345 lines
14 KiB
Python
"""
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This module contains the configuration class
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"""
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import json
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import logging
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import sys
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from argparse import Namespace
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from typing import Any, Callable, Dict, Optional
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from freqtrade import OperationalException, constants
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from freqtrade.configuration.check_exchange import check_exchange
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from freqtrade.configuration.create_datadir import create_datadir
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from freqtrade.configuration.json_schema import validate_config_schema
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from freqtrade.loggers import setup_logging
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from freqtrade.misc import deep_merge_dicts
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from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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class Configuration(object):
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"""
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Class to read and init the bot configuration
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Reuse this class for the bot, backtesting, hyperopt and every script that required configuration
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"""
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def __init__(self, args: Namespace, runmode: RunMode = None) -> None:
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self.args = args
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self.config: Optional[Dict[str, Any]] = None
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self.runmode = runmode
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def get_config(self) -> Dict[str, Any]:
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"""
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Return the config. Use this method to get the bot config
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:return: Dict: Bot config
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"""
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if self.config is None:
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self.config = self.load_config()
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return self.config
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def load_config(self) -> Dict[str, Any]:
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"""
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Extract information for sys.argv and load the bot configuration
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:return: Configuration dictionary
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"""
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config: Dict[str, Any] = {}
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# Now expecting a list of config filenames here, not a string
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for path in self.args.config:
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logger.info('Using config: %s ...', path)
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# Merge config options, overwriting old values
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config = deep_merge_dicts(self._load_config_file(path), config)
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if 'internals' not in config:
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config['internals'] = {}
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logger.info('Validating configuration ...')
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validate_config_schema(config)
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self._validate_config_consistency(config)
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# Set strategy if not specified in config and or if it's non default
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if self.args.strategy != constants.DEFAULT_STRATEGY or not config.get('strategy'):
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config.update({'strategy': self.args.strategy})
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if self.args.strategy_path:
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config.update({'strategy_path': self.args.strategy_path})
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# Load Common configuration
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config = self._load_common_config(config)
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# Load Optimize configurations
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config = self._load_optimize_config(config)
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# Add plotting options if available
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config = self._load_plot_config(config)
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# Set runmode
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if not self.runmode:
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# Handle real mode, infer dry/live from config
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self.runmode = RunMode.DRY_RUN if config.get('dry_run', True) else RunMode.LIVE
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config.update({'runmode': self.runmode})
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return config
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def _load_config_file(self, path: str) -> Dict[str, Any]:
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"""
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Loads a config file from the given path
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:param path: path as str
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:return: configuration as dictionary
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"""
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try:
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# Read config from stdin if requested in the options
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with open(path) if path != '-' else sys.stdin as file:
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conf = json.load(file)
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except FileNotFoundError:
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raise OperationalException(
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f'Config file "{path}" not found!'
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' Please create a config file or check whether it exists.')
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return conf
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def _load_logging_config(self, config: Dict[str, Any]) -> None:
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"""
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Extract information for sys.argv and load logging configuration:
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the -v/--verbose, --logfile options
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"""
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# Log level
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if 'verbosity' in self.args and self.args.verbosity:
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config.update({'verbosity': self.args.verbosity})
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else:
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config.update({'verbosity': 0})
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if 'logfile' in self.args and self.args.logfile:
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config.update({'logfile': self.args.logfile})
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setup_logging(config)
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def _load_common_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Extract information for sys.argv and load common configuration
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:return: configuration as dictionary
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"""
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self._load_logging_config(config)
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# Support for sd_notify
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if 'sd_notify' in self.args and self.args.sd_notify:
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config['internals'].update({'sd_notify': True})
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# Add dynamic_whitelist if found
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if 'dynamic_whitelist' in self.args and self.args.dynamic_whitelist:
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# Update to volumePairList (the previous default)
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config['pairlist'] = {'method': 'VolumePairList',
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'config': {'number_assets': self.args.dynamic_whitelist}
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}
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logger.warning(
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'Parameter --dynamic-whitelist has been deprecated, '
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'and will be completely replaced by the whitelist dict in the future. '
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'For now: using dynamically generated whitelist based on VolumePairList. '
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'(not applicable with Backtesting and Hyperopt)'
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)
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if ('db_url' in self.args and self.args.db_url and
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self.args.db_url != constants.DEFAULT_DB_PROD_URL):
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config.update({'db_url': self.args.db_url})
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logger.info('Parameter --db-url detected ...')
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if config.get('dry_run', False):
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logger.info('Dry run is enabled')
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if config.get('db_url') in [None, constants.DEFAULT_DB_PROD_URL]:
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# Default to in-memory db for dry_run if not specified
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config['db_url'] = constants.DEFAULT_DB_DRYRUN_URL
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else:
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if not config.get('db_url', None):
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config['db_url'] = constants.DEFAULT_DB_PROD_URL
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logger.info('Dry run is disabled')
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if config.get('forcebuy_enable', False):
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logger.warning('`forcebuy` RPC message enabled.')
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# Setting max_open_trades to infinite if -1
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if config.get('max_open_trades') == -1:
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config['max_open_trades'] = float('inf')
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logger.info(f'Using DB: "{config["db_url"]}"')
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# Check if the exchange set by the user is supported
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check_exchange(config)
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return config
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def _args_to_config(self, config: Dict[str, Any], argname: str,
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logstring: str, logfun: Optional[Callable] = None) -> None:
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"""
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:param config: Configuration dictionary
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:param argname: Argumentname in self.args - will be copied to config dict.
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:param logstring: Logging String
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:param logfun: logfun is applied to the configuration entry before passing
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that entry to the log string using .format().
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sample: logfun=len (prints the length of the found
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configuration instead of the content)
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"""
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if argname in self.args and getattr(self.args, argname):
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config.update({argname: getattr(self.args, argname)})
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if logfun:
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logger.info(logstring.format(logfun(config[argname])))
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else:
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logger.info(logstring.format(config[argname]))
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def _load_datadir_config(self, config: Dict[str, Any]) -> None:
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"""
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Extract information for sys.argv and load datadir configuration:
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the --datadir option
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"""
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if 'datadir' in self.args and self.args.datadir:
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config.update({'datadir': create_datadir(config, self.args.datadir)})
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else:
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config.update({'datadir': create_datadir(config, None)})
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logger.info('Using data directory: %s ...', config.get('datadir'))
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def _load_optimize_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Extract information for sys.argv and load Optimize configuration
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:return: configuration as dictionary
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"""
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# This will override the strategy configuration
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self._args_to_config(config, argname='ticker_interval',
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logstring='Parameter -i/--ticker-interval detected ... '
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'Using ticker_interval: {} ...')
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self._args_to_config(config, argname='live',
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logstring='Parameter -l/--live detected ...')
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self._args_to_config(config, argname='position_stacking',
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logstring='Parameter --enable-position-stacking detected ...')
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if 'use_max_market_positions' in self.args and not self.args.use_max_market_positions:
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config.update({'use_max_market_positions': False})
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logger.info('Parameter --disable-max-market-positions detected ...')
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logger.info('max_open_trades set to unlimited ...')
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elif 'max_open_trades' in self.args and self.args.max_open_trades:
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config.update({'max_open_trades': self.args.max_open_trades})
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logger.info('Parameter --max_open_trades detected, '
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'overriding max_open_trades to: %s ...', config.get('max_open_trades'))
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else:
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logger.info('Using max_open_trades: %s ...', config.get('max_open_trades'))
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self._args_to_config(config, argname='stake_amount',
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logstring='Parameter --stake_amount detected, '
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'overriding stake_amount to: {} ...')
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self._args_to_config(config, argname='timerange',
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logstring='Parameter --timerange detected: {} ...')
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self._load_datadir_config(config)
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self._args_to_config(config, argname='refresh_pairs',
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logstring='Parameter -r/--refresh-pairs-cached detected ...')
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self._args_to_config(config, argname='strategy_list',
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logstring='Using strategy list of {} Strategies', logfun=len)
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self._args_to_config(config, argname='ticker_interval',
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logstring='Overriding ticker interval with Command line argument')
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self._args_to_config(config, argname='export',
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logstring='Parameter --export detected: {} ...')
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self._args_to_config(config, argname='exportfilename',
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logstring='Storing backtest results to {} ...')
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# Edge section:
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if 'stoploss_range' in self.args and self.args.stoploss_range:
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txt_range = eval(self.args.stoploss_range)
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config['edge'].update({'stoploss_range_min': txt_range[0]})
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config['edge'].update({'stoploss_range_max': txt_range[1]})
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config['edge'].update({'stoploss_range_step': txt_range[2]})
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logger.info('Parameter --stoplosses detected: %s ...', self.args.stoploss_range)
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# Hyperopt section
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self._args_to_config(config, argname='hyperopt',
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logstring='Using Hyperopt file {}')
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self._args_to_config(config, argname='epochs',
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logstring='Parameter --epochs detected ... '
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'Will run Hyperopt with for {} epochs ...'
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)
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self._args_to_config(config, argname='spaces',
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logstring='Parameter -s/--spaces detected: {}')
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self._args_to_config(config, argname='print_all',
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logstring='Parameter --print-all detected ...')
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self._args_to_config(config, argname='hyperopt_jobs',
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logstring='Parameter -j/--job-workers detected: {}')
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self._args_to_config(config, argname='hyperopt_random_state',
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logstring='Parameter --random-state detected: {}')
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self._args_to_config(config, argname='hyperopt_min_trades',
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logstring='Parameter --min-trades detected: {}')
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self._args_to_config(config, argname='hyperopt_clean_state',
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logstring='Removing hyperopt temp files')
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self._args_to_config(config, argname='loss_function',
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logstring='Using loss function: {}')
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return config
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def _load_plot_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Extract information for sys.argv Plotting configuration
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:return: configuration as dictionary
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"""
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self._args_to_config(config, argname='pairs',
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logstring='Using pairs {}')
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self._args_to_config(config, argname='indicators1',
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logstring='Using indicators1: {}')
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self._args_to_config(config, argname='indicators2',
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logstring='Using indicators2: {}')
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self._args_to_config(config, argname='plot_limit',
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logstring='Limiting plot to: {}')
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self._args_to_config(config, argname='trade_source',
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logstring='Using trades from: {}')
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return config
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def _validate_config_consistency(self, conf: Dict[str, Any]) -> None:
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"""
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Validate the configuration consistency
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:param conf: Config in JSON format
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:return: Returns None if everything is ok, otherwise throw an OperationalException
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"""
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# validating trailing stoploss
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self._validate_trailing_stoploss(conf)
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def _validate_trailing_stoploss(self, conf: Dict[str, Any]) -> None:
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# Skip if trailing stoploss is not activated
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if not conf.get('trailing_stop', False):
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return
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tsl_positive = float(conf.get('trailing_stop_positive', 0))
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tsl_offset = float(conf.get('trailing_stop_positive_offset', 0))
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tsl_only_offset = conf.get('trailing_only_offset_is_reached', False)
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if tsl_only_offset:
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if tsl_positive == 0.0:
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raise OperationalException(
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f'The config trailing_only_offset_is_reached needs '
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'trailing_stop_positive_offset to be more than 0 in your config.')
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if tsl_positive > 0 and 0 < tsl_offset <= tsl_positive:
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raise OperationalException(
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f'The config trailing_stop_positive_offset needs '
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'to be greater than trailing_stop_positive_offset in your config.')
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