from copy import deepcopy from datetime import datetime from pathlib import Path import pandas as pd import pytest from freqtrade.enums import ExitType, RunMode from freqtrade.optimize.backtesting import Backtesting from freqtrade.optimize.hyperopt import Hyperopt from tests.conftest import patch_exchange @pytest.fixture(scope="function") def hyperopt_conf(default_conf): hyperconf = deepcopy(default_conf) hyperconf.update( { "datadir": Path(default_conf["datadir"]), "runmode": RunMode.HYPEROPT, "strategy": "HyperoptableStrategy", "hyperopt_loss": "ShortTradeDurHyperOptLoss", "hyperopt_path": str(Path(__file__).parent / "hyperopts"), "epochs": 1, "timerange": None, "spaces": ["default"], "hyperopt_jobs": 1, "hyperopt_min_trades": 1, } ) return hyperconf @pytest.fixture(autouse=True) def backtesting_cleanup(): yield None Backtesting.cleanup() @pytest.fixture(scope="function") def hyperopt(hyperopt_conf, mocker): patch_exchange(mocker) return Hyperopt(hyperopt_conf) @pytest.fixture(scope="function") def hyperopt_results(): return pd.DataFrame( { "pair": ["ETH/USDT", "ETH/USDT", "ETH/USDT", "ETH/USDT"], "profit_ratio": [-0.1, 0.2, -0.12, 0.3], "profit_abs": [-0.2, 0.4, -0.21, 0.6], "trade_duration": [10, 30, 10, 10], "amount": [0.1, 0.1, 0.1, 0.1], "exit_reason": [ExitType.STOP_LOSS, ExitType.ROI, ExitType.STOP_LOSS, ExitType.ROI], "open_date": [ datetime(2019, 1, 1, 9, 15, 0), datetime(2019, 1, 2, 8, 55, 0), datetime(2019, 1, 3, 9, 15, 0), datetime(2019, 1, 4, 9, 15, 0), ], "close_date": [ datetime(2019, 1, 1, 9, 25, 0), datetime(2019, 1, 2, 9, 25, 0), datetime(2019, 1, 3, 9, 25, 0), datetime(2019, 1, 4, 9, 25, 0), ], } )