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Remove timeframe logic for non-date entries
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@ -103,12 +103,6 @@ The full timerange specification:
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- Use tickframes since 2018/01/31 till 2018/03/01 : `--timerange=20180131-20180301`
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- Use tickframes between POSIX timestamps 1527595200 1527618600:
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`--timerange=1527595200-1527618600`
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- Use last 123 tickframes of data: `--timerange=-123`
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- Use first 123 tickframes of data: `--timerange=123-`
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- Use tickframes from line 123 through 456: `--timerange=123-456`
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!!! warning
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Be carefull when using non-date functions - these do not allow you to specify precise dates, so if you updated the test-data it will probably use a different dataset.
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## Understand the backtesting result
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@ -249,13 +249,10 @@ freqtrade edge --stoplosses=-0.01,-0.1,-0.001 #min,max,step
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freqtrade edge --timerange=20181110-20181113
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```
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Doing `--timerange=-200` will get the last 200 timeframes from your inputdata. You can also specify specific dates, or a range span indexed by start and stop.
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Doing `--timerange=-20190901` will get all available data until September 1st (excluding September 1st 2019).
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The full timerange specification:
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* Use last 123 tickframes of data: `--timerange=-123`
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* Use first 123 tickframes of data: `--timerange=123-`
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* Use tickframes from line 123 through 456: `--timerange=123-456`
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* Use tickframes till 2018/01/31: `--timerange=-20180131`
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* Use tickframes since 2018/01/31: `--timerange=20180131-`
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* Use tickframes since 2018/01/31 till 2018/03/01 : `--timerange=20180131-20180301`
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@ -42,9 +42,8 @@ class TimeRange:
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(r'^-(\d{10})$', (None, 'date')),
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(r'^(\d{10})-$', ('date', None)),
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(r'^(\d{10})-(\d{10})$', ('date', 'date')),
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(r'^(-\d+)$', (None, 'line')),
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(r'^(\d+)-$', ('line', None)),
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(r'^(\d+)-(\d+)$', ('index', 'index'))]
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(r'^(\d{13})-(\d{13})$', ('date', 'date')),
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]
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for rex, stype in syntax:
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# Apply the regular expression to text
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match = re.match(rex, text)
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@ -57,6 +56,8 @@ class TimeRange:
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starts = rvals[index]
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if stype[0] == 'date' and len(starts) == 8:
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start = arrow.get(starts, 'YYYYMMDD').timestamp
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elif len(starts) == 13:
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start = int(starts) // 1000
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else:
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start = int(starts)
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index += 1
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@ -64,6 +65,8 @@ class TimeRange:
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stops = rvals[index]
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if stype[1] == 'date' and len(stops) == 8:
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stop = arrow.get(stops, 'YYYYMMDD').timestamp
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elif len(stops) == 13:
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stop = int(stops) // 1000
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else:
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stop = int(stops)
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return TimeRange(stype[0], stype[1], start, stop)
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@ -33,20 +33,12 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
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start_index = 0
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stop_index = len(tickerlist)
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if timerange.starttype == 'line':
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stop_index = timerange.startts
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if timerange.starttype == 'index':
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start_index = timerange.startts
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elif timerange.starttype == 'date':
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if timerange.starttype == 'date':
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while (start_index < len(tickerlist) and
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tickerlist[start_index][0] < timerange.startts * 1000):
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start_index += 1
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if timerange.stoptype == 'line':
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start_index = max(len(tickerlist) + timerange.stopts, 0)
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if timerange.stoptype == 'index':
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stop_index = timerange.stopts
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elif timerange.stoptype == 'date':
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if timerange.stoptype == 'date':
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while (stop_index > 0 and
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tickerlist[stop_index-1][0] > timerange.stopts * 1000):
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stop_index -= 1
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@ -53,12 +53,12 @@ def test_load_trades_db(default_conf, fee, mocker):
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def test_extract_trades_of_period(testdatadir):
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pair = "UNITTEST/BTC"
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timerange = TimeRange(None, 'line', 0, -1000)
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# 2018-11-14 06:07:00
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timerange = TimeRange('date', None, 1510639620, 0)
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data = load_pair_history(pair=pair, ticker_interval='1m',
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datadir=testdatadir, timerange=timerange)
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# timerange = 2017-11-14 06:07 - 2017-11-14 22:58:00
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trades = DataFrame(
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{'pair': [pair, pair, pair, pair],
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'profit_percent': [0.0, 0.1, -0.2, -0.5],
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