Implement missing_data_fillup to tests and operations
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@ -558,7 +558,7 @@ class Exchange(object):
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if ticks:
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if ticks:
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self._pairs_last_refresh_time[pair] = ticks[-1][0] // 1000
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self._pairs_last_refresh_time[pair] = ticks[-1][0] // 1000
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# keeping parsed dataframe in cache
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# keeping parsed dataframe in cache
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self._klines[pair] = parse_ticker_dataframe(ticks)
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self._klines[pair] = parse_ticker_dataframe(ticks, tick_interval, fill_missing=True)
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return tickers
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return tickers
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@retrier_async
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@retrier_async
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@ -19,7 +19,6 @@ from freqtrade.arguments import Arguments
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from freqtrade.configuration import Configuration
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from freqtrade.configuration import Configuration
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from freqtrade.exchange import Exchange
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from freqtrade.exchange import Exchange
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from freqtrade.data import history
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from freqtrade.data import history
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from freqtrade.data.converter import ohlcv_fill_up_missing_data
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from freqtrade.misc import file_dump_json
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from freqtrade.misc import file_dump_json
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from freqtrade.persistence import Trade
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from freqtrade.persistence import Trade
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from freqtrade.resolvers import StrategyResolver
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from freqtrade.resolvers import StrategyResolver
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@ -395,7 +394,7 @@ class Backtesting(object):
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self._set_strategy(strat)
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self._set_strategy(strat)
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min_date, max_date = optimize.get_timeframe(data)
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min_date, max_date = optimize.get_timeframe(data)
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# Validate dataframe for missing values
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# Validate dataframe for missing values (mainly at start and end, as fillup is called)
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optimize.validate_backtest_data(data, min_date, max_date,
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optimize.validate_backtest_data(data, min_date, max_date,
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constants.TICKER_INTERVAL_MINUTES[self.ticker_interval])
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constants.TICKER_INTERVAL_MINUTES[self.ticker_interval])
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logger.info(
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logger.info(
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@ -542,7 +542,7 @@ def ticker_history_list():
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@pytest.fixture
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@pytest.fixture
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def ticker_history(ticker_history_list):
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def ticker_history(ticker_history_list):
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return parse_ticker_dataframe(ticker_history_list)
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return parse_ticker_dataframe(ticker_history_list, "5m", True)
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@pytest.fixture
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@pytest.fixture
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@ -724,7 +724,7 @@ def tickers():
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@pytest.fixture
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@pytest.fixture
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def result():
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def result():
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with open('freqtrade/tests/testdata/UNITTEST_BTC-1m.json') as data_file:
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with open('freqtrade/tests/testdata/UNITTEST_BTC-1m.json') as data_file:
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return parse_ticker_dataframe(json.load(data_file))
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return parse_ticker_dataframe(json.load(data_file), '1m', True)
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# FIX:
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# FIX:
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# Create an fixture/function
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# Create an fixture/function
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@ -7,21 +7,16 @@ from freqtrade.optimize import validate_backtest_data, get_timeframe
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from freqtrade.tests.conftest import log_has
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from freqtrade.tests.conftest import log_has
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def test_dataframe_correct_length(result):
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dataframe = parse_ticker_dataframe(result)
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assert len(result.index) - 1 == len(dataframe.index) # last partial candle removed
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def test_dataframe_correct_columns(result):
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def test_dataframe_correct_columns(result):
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assert result.columns.tolist() == ['date', 'open', 'high', 'low', 'close', 'volume']
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assert result.columns.tolist() == ['date', 'open', 'high', 'low', 'close', 'volume']
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def test_parse_ticker_dataframe(ticker_history, caplog):
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def test_parse_ticker_dataframe(ticker_history_list, caplog):
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columns = ['date', 'open', 'high', 'low', 'close', 'volume']
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columns = ['date', 'open', 'high', 'low', 'close', 'volume']
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caplog.set_level(logging.DEBUG)
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caplog.set_level(logging.DEBUG)
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# Test file with BV data
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# Test file with BV data
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dataframe = parse_ticker_dataframe(ticker_history)
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dataframe = parse_ticker_dataframe(ticker_history_list, '5m', fill_missing=True)
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assert dataframe.columns.tolist() == columns
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assert dataframe.columns.tolist() == columns
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assert log_has('Parsing tickerlist to dataframe', caplog.record_tuples)
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assert log_has('Parsing tickerlist to dataframe', caplog.record_tuples)
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@ -30,7 +25,8 @@ def test_ohlcv_fill_up_missing_data(caplog):
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data = load_pair_history(datadir=None,
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data = load_pair_history(datadir=None,
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ticker_interval='1m',
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ticker_interval='1m',
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refresh_pairs=False,
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refresh_pairs=False,
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pair='UNITTEST/BTC')
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pair='UNITTEST/BTC',
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fill_up_missing=False)
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caplog.set_level(logging.DEBUG)
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caplog.set_level(logging.DEBUG)
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data2 = ohlcv_fill_up_missing_data(data, '1m')
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data2 = ohlcv_fill_up_missing_data(data, '1m')
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assert len(data2) > len(data)
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assert len(data2) > len(data)
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@ -281,8 +281,8 @@ def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=Fals
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123.45
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123.45
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] for x in range(0, 500)]
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] for x in range(0, 500)]
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pairdata = {'NEO/BTC': parse_ticker_dataframe(ETHBTC),
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pairdata = {'NEO/BTC': parse_ticker_dataframe(ETHBTC, '1h', fill_missing=True),
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'LTC/BTC': parse_ticker_dataframe(LTCBTC)}
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'LTC/BTC': parse_ticker_dataframe(LTCBTC, '1h', fill_missing=True)}
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return pairdata
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return pairdata
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@ -75,7 +75,7 @@ def load_data_test(what):
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pair[x][5] # Keep old volume
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pair[x][5] # Keep old volume
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] for x in range(0, datalen)
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] for x in range(0, datalen)
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]
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]
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return {'UNITTEST/BTC': parse_ticker_dataframe(data)}
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return {'UNITTEST/BTC': parse_ticker_dataframe(data, '1m', fill_missing=True)}
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def simple_backtest(config, contour, num_results, mocker) -> None:
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def simple_backtest(config, contour, num_results, mocker) -> None:
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@ -104,7 +104,7 @@ def simple_backtest(config, contour, num_results, mocker) -> None:
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def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=False,
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def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=False,
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timerange=None, exchange=None):
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timerange=None, exchange=None):
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tickerdata = history.load_tickerdata_file(datadir, 'UNITTEST/BTC', '1m', timerange=timerange)
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tickerdata = history.load_tickerdata_file(datadir, 'UNITTEST/BTC', '1m', timerange=timerange)
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pairdata = {'UNITTEST/BTC': parse_ticker_dataframe(tickerdata)}
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pairdata = {'UNITTEST/BTC': parse_ticker_dataframe(tickerdata, '1m', fill_missing=True)}
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return pairdata
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return pairdata
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@ -322,15 +322,15 @@ def test_backtesting_init(mocker, default_conf) -> None:
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assert backtesting.fee == 0.5
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assert backtesting.fee == 0.5
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def test_tickerdata_to_dataframe(default_conf, mocker) -> None:
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def test_tickerdata_to_dataframe_bt(default_conf, mocker) -> None:
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patch_exchange(mocker)
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patch_exchange(mocker)
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timerange = TimeRange(None, 'line', 0, -100)
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timerange = TimeRange(None, 'line', 0, -100)
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tick = history.load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
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tick = history.load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, '1m', fill_missing=True)}
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backtesting = Backtesting(default_conf)
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backtesting = Backtesting(default_conf)
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data = backtesting.strategy.tickerdata_to_dataframe(tickerlist)
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data = backtesting.strategy.tickerdata_to_dataframe(tickerlist)
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assert len(data['UNITTEST/BTC']) == 99
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assert len(data['UNITTEST/BTC']) == 102
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# Load strategy to compare the result between Backtesting function and strategy are the same
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# Load strategy to compare the result between Backtesting function and strategy are the same
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strategy = DefaultStrategy(default_conf)
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strategy = DefaultStrategy(default_conf)
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@ -593,7 +593,7 @@ def test_processed(default_conf, mocker) -> None:
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def test_backtest_pricecontours(default_conf, fee, mocker) -> None:
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def test_backtest_pricecontours(default_conf, fee, mocker) -> None:
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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tests = [['raise', 18], ['lower', 0], ['sine', 19]]
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tests = [['raise', 19], ['lower', 0], ['sine', 18]]
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# We need to enable sell-signal - otherwise it sells on ROI!!
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# We need to enable sell-signal - otherwise it sells on ROI!!
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default_conf['experimental'] = {"use_sell_signal": True}
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default_conf['experimental'] = {"use_sell_signal": True}
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@ -243,7 +243,7 @@ def test_has_space(hyperopt):
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def test_populate_indicators(hyperopt) -> None:
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def test_populate_indicators(hyperopt) -> None:
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, '1m', fill_missing=True)}
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dataframes = hyperopt.strategy.tickerdata_to_dataframe(tickerlist)
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dataframes = hyperopt.strategy.tickerdata_to_dataframe(tickerlist)
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dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
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dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
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{'pair': 'UNITTEST/BTC'})
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{'pair': 'UNITTEST/BTC'})
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@ -256,7 +256,7 @@ def test_populate_indicators(hyperopt) -> None:
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def test_buy_strategy_generator(hyperopt) -> None:
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def test_buy_strategy_generator(hyperopt) -> None:
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, '1m', fill_missing=True)}
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dataframes = hyperopt.strategy.tickerdata_to_dataframe(tickerlist)
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dataframes = hyperopt.strategy.tickerdata_to_dataframe(tickerlist)
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dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
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dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
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{'pair': 'UNITTEST/BTC'})
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{'pair': 'UNITTEST/BTC'})
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@ -30,7 +30,8 @@ def test_validate_backtest_data_warn(default_conf, mocker, caplog) -> None:
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history.load_data(
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history.load_data(
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datadir=None,
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datadir=None,
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ticker_interval='1m',
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ticker_interval='1m',
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pairs=['UNITTEST/BTC']
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pairs=['UNITTEST/BTC'],
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fill_up_missing=False
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)
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)
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)
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)
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min_date, max_date = optimize.get_timeframe(data)
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min_date, max_date = optimize.get_timeframe(data)
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@ -10,7 +10,7 @@ from freqtrade.strategy.default_strategy import DefaultStrategy
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@pytest.fixture
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@pytest.fixture
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def result():
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def result():
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with open('freqtrade/tests/testdata/ETH_BTC-1m.json') as data_file:
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with open('freqtrade/tests/testdata/ETH_BTC-1m.json') as data_file:
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return parse_ticker_dataframe(json.load(data_file))
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return parse_ticker_dataframe(json.load(data_file), '1m', fill_missing=True)
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def test_default_strategy_structure():
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def test_default_strategy_structure():
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@ -111,9 +111,9 @@ def test_tickerdata_to_dataframe(default_conf) -> None:
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timerange = TimeRange(None, 'line', 0, -100)
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timerange = TimeRange(None, 'line', 0, -100)
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, '1m', True)}
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data = strategy.tickerdata_to_dataframe(tickerlist)
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data = strategy.tickerdata_to_dataframe(tickerlist)
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assert len(data['UNITTEST/BTC']) == 99 # partial candle was removed
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assert len(data['UNITTEST/BTC']) == 102 # partial candle was removed
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def test_min_roi_reached(default_conf, fee) -> None:
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def test_min_roi_reached(default_conf, fee) -> None:
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@ -17,7 +17,7 @@ def test_shorten_date() -> None:
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def test_datesarray_to_datetimearray(ticker_history_list):
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def test_datesarray_to_datetimearray(ticker_history_list):
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dataframes = parse_ticker_dataframe(ticker_history_list)
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dataframes = parse_ticker_dataframe(ticker_history_list, "5m", fill_missing=True)
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dates = datesarray_to_datetimearray(dataframes['date'])
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dates = datesarray_to_datetimearray(dataframes['date'])
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assert isinstance(dates[0], datetime.datetime)
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assert isinstance(dates[0], datetime.datetime)
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@ -34,7 +34,7 @@ def test_datesarray_to_datetimearray(ticker_history_list):
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def test_common_datearray(default_conf) -> None:
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def test_common_datearray(default_conf) -> None:
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strategy = DefaultStrategy(default_conf)
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strategy = DefaultStrategy(default_conf)
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, "1m", fill_missing=True)}
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dataframes = strategy.tickerdata_to_dataframe(tickerlist)
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dataframes = strategy.tickerdata_to_dataframe(tickerlist)
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dates = common_datearray(dataframes)
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dates = common_datearray(dataframes)
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