freqtrade_origin/freqtrade/optimize/edge_cli.py
Matthias af3eea3805 Move config json validation to after strategy loading
Otherwise attributes are mandatory in configuration
while they could be set in the strategy
2019-11-25 07:05:30 +01:00

80 lines
2.7 KiB
Python

# pragma pylint: disable=missing-docstring, W0212, too-many-arguments
"""
This module contains the edge backtesting interface
"""
import logging
from typing import Any, Dict
from tabulate import tabulate
from freqtrade import constants
from freqtrade.configuration import (TimeRange, remove_credentials,
validate_config_consistency)
from freqtrade.edge import Edge
from freqtrade.exchange import Exchange
from freqtrade.resolvers import StrategyResolver
logger = logging.getLogger(__name__)
class EdgeCli:
"""
EdgeCli class, this class contains all the logic to run edge backtesting
To run a edge backtest:
edge = EdgeCli(config)
edge.start()
"""
def __init__(self, config: Dict[str, Any]) -> None:
self.config = config
# Reset keys for edge
remove_credentials(self.config)
self.config['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
self.exchange = Exchange(self.config)
self.strategy = StrategyResolver(self.config).strategy
validate_config_consistency(self.config)
self.edge = Edge(config, self.exchange, self.strategy)
# Set refresh_pairs to false for edge-cli (it must be true for edge)
self.edge._refresh_pairs = False
self.timerange = TimeRange.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
self.edge._timerange = self.timerange
def _generate_edge_table(self, results: dict) -> str:
floatfmt = ('s', '.10g', '.2f', '.2f', '.2f', '.2f', 'd', '.d')
tabular_data = []
headers = ['pair', 'stoploss', 'win rate', 'risk reward ratio',
'required risk reward', 'expectancy', 'total number of trades',
'average duration (min)']
for result in results.items():
if result[1].nb_trades > 0:
tabular_data.append([
result[0],
result[1].stoploss,
result[1].winrate,
result[1].risk_reward_ratio,
result[1].required_risk_reward,
result[1].expectancy,
result[1].nb_trades,
round(result[1].avg_trade_duration)
])
# Ignore type as floatfmt does allow tuples but mypy does not know that
return tabulate(tabular_data, headers=headers,
floatfmt=floatfmt, tablefmt="pipe") # type: ignore
def start(self) -> None:
result = self.edge.calculate()
if result:
print('') # blank line for readability
print(self._generate_edge_table(self.edge._cached_pairs))