mirror of
https://github.com/freqtrade/freqtrade.git
synced 2026-01-20 14:00:38 +00:00
Initial fix - test
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@@ -55,7 +55,6 @@ class LookaheadAnalysis:
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self.current_analysis = Analysis()
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self.minimum_trade_amount = config['minimum_trade_amount']
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self.targeted_trade_amount = config['targeted_trade_amount']
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self.exportfilename = config['exportfilename']
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self.strategy_obj = strategy_obj
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@staticmethod
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@@ -3,6 +3,7 @@
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from unittest.mock import PropertyMock
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import numpy as np
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import pytest
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import freqtrade.commands.arguments
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import freqtrade.optimize.lookahead_analysis
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@@ -10,7 +11,15 @@ from freqtrade.configuration import TimeRange
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from freqtrade.data import history
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from freqtrade.data.converter import clean_ohlcv_dataframe
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from freqtrade.data.history import get_timerange
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from tests.conftest import patch_exchange
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from tests.conftest import generate_test_data, patch_exchange
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@pytest.fixture
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def lookahead_conf(default_conf_usdt):
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default_conf_usdt['minimum_trade_amount'] = 10
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default_conf_usdt['targeted_trade_amount'] = 20
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return default_conf_usdt
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def trim_dictlist(dict_list, num):
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@@ -20,50 +29,18 @@ def trim_dictlist(dict_list, num):
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return new
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def load_data_test(what, testdatadir):
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timerange = TimeRange.parse_timerange('1510694220-1510700340')
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data = history.load_pair_history(pair='UNITTEST/BTC', datadir=testdatadir,
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timeframe='1m', timerange=timerange,
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drop_incomplete=False,
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fill_up_missing=False)
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base = 0.001
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if what == 'raise':
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data.loc[:, 'open'] = data.index * base
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data.loc[:, 'high'] = data.index * base + 0.0001
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data.loc[:, 'low'] = data.index * base - 0.0001
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data.loc[:, 'close'] = data.index * base
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if what == 'lower':
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data.loc[:, 'open'] = 1 - data.index * base
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data.loc[:, 'high'] = 1 - data.index * base + 0.0001
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data.loc[:, 'low'] = 1 - data.index * base - 0.0001
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data.loc[:, 'close'] = 1 - data.index * base
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if what == 'sine':
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hz = 0.1 # frequency
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data.loc[:, 'open'] = np.sin(data.index * hz) / 1000 + base
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data.loc[:, 'high'] = np.sin(data.index * hz) / 1000 + base + 0.0001
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data.loc[:, 'low'] = np.sin(data.index * hz) / 1000 + base - 0.0001
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data.loc[:, 'close'] = np.sin(data.index * hz) / 1000 + base
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return {'UNITTEST/BTC': clean_ohlcv_dataframe(data, timeframe='1m', pair='UNITTEST/BTC',
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fill_missing=True, drop_incomplete=True)}
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def test_biased_strategy(default_conf, mocker, caplog) -> None:
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def test_biased_strategy(lookahead_conf, mocker, caplog) -> None:
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mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
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patch_exchange(mocker)
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mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
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PropertyMock(return_value=['UNITTEST/BTC']))
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default_conf['timeframe'] = '5m'
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default_conf['timerange'] = '-1510694220'
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default_conf['strategy'] = 'strategy_test_v3_with_lookahead_bias'
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default_conf['strategy_path'] = 'tests/strategy/strats'
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lookahead_conf['timeframe'] = '5m'
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lookahead_conf['timerange'] = '-1510694220'
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lookahead_conf['strategy'] = 'strategy_test_v3_with_lookahead_bias'
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strategy_obj = {}
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strategy_obj['name'] = "strategy_test_v3_with_lookahead_bias"
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freqtrade.optimize.lookahead_analysis.LookaheadAnalysis(default_conf, strategy_obj, {})
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freqtrade.optimize.lookahead_analysis.LookaheadAnalysis(lookahead_conf, strategy_obj)
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pass
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