Uppdate pricecontours test to not recreate backtesting every loop
in hopes to fix random failure
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3bb4f2c7c2
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9347677c60
@ -90,28 +90,6 @@ def load_data_test(what, testdatadir):
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fill_missing=True)}
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def simple_backtest(config, contour, mocker, testdatadir) -> None:
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patch_exchange(mocker)
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config['timeframe'] = '1m'
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backtesting = Backtesting(config)
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backtesting._set_strategy(backtesting.strategylist[0])
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data = load_data_test(contour, testdatadir)
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processed = backtesting.strategy.advise_all_indicators(data)
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min_date, max_date = get_timerange(processed)
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assert isinstance(processed, dict)
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results = backtesting.backtest(
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processed=processed,
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start_date=min_date,
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end_date=max_date,
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max_open_trades=1,
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position_stacking=False,
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enable_protections=config.get('enable_protections', False),
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)
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# results :: <class 'pandas.core.frame.DataFrame'>
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return results
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# FIX: fixturize this?
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def _make_backtest_conf(mocker, datadir, conf=None, pair='UNITTEST/BTC'):
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data = history.load_data(datadir=datadir, timeframe='1m', pairs=[pair])
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@ -942,6 +920,7 @@ def test_backtest_dataprovider_analyzed_df(default_conf, fee, mocker, testdatadi
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def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatadir) -> None:
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# While this test IS a copy of test_backtest_pricecontours, it's needed to ensure
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# results do not carry-over to the next run, which is not given by using parametrize.
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patch_exchange(mocker)
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default_conf['protections'] = [
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{
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"method": "CooldownPeriod",
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@ -949,6 +928,7 @@ def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatad
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}]
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default_conf['enable_protections'] = True
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default_conf['timeframe'] = '1m'
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
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mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
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@ -959,12 +939,27 @@ def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatad
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['sine', 9],
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['raise', 10],
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]
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backtesting = Backtesting(default_conf)
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backtesting._set_strategy(backtesting.strategylist[0])
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# While entry-signals are unrealistic, running backtesting
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# over and over again should not cause different results
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for [contour, numres] in tests:
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# Debug output for random test failure
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print(f"{contour}, {numres}")
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assert len(simple_backtest(default_conf, contour, mocker, testdatadir)['results']) == numres
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data = load_data_test(contour, testdatadir)
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processed = backtesting.strategy.advise_all_indicators(data)
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min_date, max_date = get_timerange(processed)
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assert isinstance(processed, dict)
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results = backtesting.backtest(
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processed=processed,
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start_date=min_date,
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end_date=max_date,
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max_open_trades=1,
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position_stacking=False,
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enable_protections=default_conf.get('enable_protections', False),
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)
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assert len(results['results']) == numres
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@pytest.mark.parametrize('protections,contour,expected', [
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@ -990,7 +985,25 @@ def test_backtest_pricecontours(default_conf, fee, mocker, testdatadir,
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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# While entry-signals are unrealistic, running backtesting
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# over and over again should not cause different results
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assert len(simple_backtest(default_conf, contour, mocker, testdatadir)['results']) == expected
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patch_exchange(mocker)
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default_conf['timeframe'] = '1m'
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backtesting = Backtesting(default_conf)
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backtesting._set_strategy(backtesting.strategylist[0])
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data = load_data_test(contour, testdatadir)
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processed = backtesting.strategy.advise_all_indicators(data)
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min_date, max_date = get_timerange(processed)
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assert isinstance(processed, dict)
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results = backtesting.backtest(
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processed=processed,
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start_date=min_date,
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end_date=max_date,
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max_open_trades=1,
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position_stacking=False,
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enable_protections=default_conf.get('enable_protections', False),
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)
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assert len(results['results']) == expected
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def test_backtest_clash_buy_sell(mocker, default_conf, testdatadir):
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