mirror of
https://github.com/freqtrade/freqtrade.git
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139 lines
5.6 KiB
Python
139 lines
5.6 KiB
Python
from copy import deepcopy
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from datetime import datetime, timezone
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from pathlib import Path
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from unittest.mock import PropertyMock
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import pytest
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from freqtrade.commands.optimize_commands import setup_optimize_configuration
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from freqtrade.configuration.timerange import TimeRange
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from freqtrade.data import history
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.enums import RunMode
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from freqtrade.enums.candletype import CandleType
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from freqtrade.exceptions import OperationalException
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from freqtrade.optimize.backtesting import Backtesting
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from tests.conftest import (CURRENT_TEST_STRATEGY, get_args, get_patched_exchange, log_has_re,
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patch_exchange, patched_configuration_load_config_file)
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from tests.freqai.conftest import get_patched_freqai_strategy
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def test_freqai_backtest_start_backtest_list(freqai_conf, mocker, testdatadir, caplog):
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patch_exchange(mocker)
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now = datetime.now(timezone.utc)
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mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
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PropertyMock(return_value=['HULUMULU/USDT', 'XRP/USDT']))
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mocker.patch('freqtrade.optimize.backtesting.history.load_data')
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mocker.patch('freqtrade.optimize.backtesting.history.get_timerange', return_value=(now, now))
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patched_configuration_load_config_file(mocker, freqai_conf)
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args = [
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'backtesting',
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'--config', 'config.json',
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'--datadir', str(testdatadir),
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'--strategy-path', str(Path(__file__).parents[1] / 'strategy/strats'),
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'--timeframe', '1m',
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'--strategy-list', CURRENT_TEST_STRATEGY
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]
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args = get_args(args)
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bt_config = setup_optimize_configuration(args, RunMode.BACKTEST)
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Backtesting(bt_config)
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assert log_has_re('Using --strategy-list with FreqAI REQUIRES all strategies to have identical',
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caplog)
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Backtesting.cleanup()
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@pytest.mark.parametrize(
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"timeframe, expected_startup_candle_count",
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[
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("5m", 876),
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("15m", 492),
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("1d", 302),
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],
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)
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def test_freqai_backtest_load_data(freqai_conf, mocker, caplog,
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timeframe, expected_startup_candle_count):
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patch_exchange(mocker)
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now = datetime.now(timezone.utc)
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mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
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PropertyMock(return_value=['HULUMULU/USDT', 'XRP/USDT']))
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mocker.patch('freqtrade.optimize.backtesting.history.load_data')
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mocker.patch('freqtrade.optimize.backtesting.history.get_timerange', return_value=(now, now))
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freqai_conf['timeframe'] = timeframe
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freqai_conf.get('freqai', {}).get('feature_parameters', {}).update({'include_timeframes': []})
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backtesting = Backtesting(deepcopy(freqai_conf))
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backtesting.load_bt_data()
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assert log_has_re(f'Increasing startup_candle_count for freqai on {timeframe} '
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f'to {expected_startup_candle_count}', caplog)
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assert history.load_data.call_args[1]['startup_candles'] == expected_startup_candle_count
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Backtesting.cleanup()
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def test_freqai_backtest_live_models_model_not_found(freqai_conf, mocker, testdatadir, caplog):
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patch_exchange(mocker)
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now = datetime.now(timezone.utc)
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mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
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PropertyMock(return_value=['HULUMULU/USDT', 'XRP/USDT']))
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mocker.patch('freqtrade.optimize.backtesting.history.load_data')
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mocker.patch('freqtrade.optimize.backtesting.history.get_timerange', return_value=(now, now))
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freqai_conf["timerange"] = ""
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freqai_conf.get("freqai", {}).update({"backtest_using_historic_predictions": False})
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patched_configuration_load_config_file(mocker, freqai_conf)
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args = [
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'backtesting',
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'--config', 'config.json',
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'--datadir', str(testdatadir),
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'--strategy-path', str(Path(__file__).parents[1] / 'strategy/strats'),
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'--timeframe', '5m',
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'--freqai-backtest-live-models'
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]
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args = get_args(args)
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bt_config = setup_optimize_configuration(args, RunMode.BACKTEST)
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with pytest.raises(OperationalException,
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match=r".* Historic predictions data is required to run backtest .*"):
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Backtesting(bt_config)
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Backtesting.cleanup()
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def test_freqai_backtest_consistent_timerange(mocker, freqai_conf):
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freqai_conf['runmode'] = 'backtest'
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mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
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PropertyMock(return_value=['XRP/USDT:USDT']))
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gbs = mocker.patch('freqtrade.optimize.backtesting.generate_backtest_stats')
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freqai_conf['candle_type_def'] = CandleType.FUTURES
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freqai_conf.get('exchange', {}).update({'pair_whitelist': ['XRP/USDT:USDT']})
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freqai_conf.get('freqai', {}).get('feature_parameters', {}).update(
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{'include_timeframes': ['5m', '1h'], 'include_corr_pairlist': []})
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freqai_conf['timerange'] = '20211120-20211121'
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strategy = get_patched_freqai_strategy(mocker, freqai_conf)
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exchange = get_patched_exchange(mocker, freqai_conf)
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strategy.dp = DataProvider(freqai_conf, exchange)
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strategy.freqai_info = freqai_conf.get("freqai", {})
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freqai = strategy.freqai
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freqai.dk = FreqaiDataKitchen(freqai_conf)
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timerange = TimeRange.parse_timerange("20211115-20211122")
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freqai.dd.load_all_pair_histories(timerange, freqai.dk)
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backtesting = Backtesting(deepcopy(freqai_conf))
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backtesting.start()
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gbs.call_args[1]['min_date'] == datetime(2021, 11, 20, 0, 0, tzinfo=timezone.utc)
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gbs.call_args[1]['max_date'] == datetime(2021, 11, 21, 0, 0, tzinfo=timezone.utc)
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Backtesting.cleanup()
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