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time-jump detection should happen on the trimmed dataframe

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Fixes comment in #7615
This commit is contained in:
Matthias 2023-01-31 10:13:21 +00:00
parent c3ef8ebb10
commit 410324ac19
1 changed files with 2 additions and 2 deletions
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4
freqtrade/data/history/idatahandler.py
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@ -308,7 +308,7 @@ class IDataHandler(ABC):
timerange=timerange_startup, timerange=timerange_startup,
candle_type=candle_type candle_type=candle_type
) )
if self._check_empty_df(pairdf, pair, timeframe, candle_type, warn_no_data, True): if self._check_empty_df(pairdf, pair, timeframe, candle_type, warn_no_data):
return pairdf return pairdf
else: else:
enddate = pairdf.iloc[-1]['date'] enddate = pairdf.iloc[-1]['date']
@ -316,7 +316,7 @@ class IDataHandler(ABC):
if timerange_startup: if timerange_startup:
self._validate_pairdata(pair, pairdf, timeframe, candle_type, timerange_startup) self._validate_pairdata(pair, pairdf, timeframe, candle_type, timerange_startup)
pairdf = trim_dataframe(pairdf, timerange_startup) pairdf = trim_dataframe(pairdf, timerange_startup)
if self._check_empty_df(pairdf, pair, timeframe, candle_type, warn_no_data): if self._check_empty_df(pairdf, pair, timeframe, candle_type, warn_no_data, True):
return pairdf return pairdf
# incomplete candles should only be dropped if we didn't trim the end beforehand. # incomplete candles should only be dropped if we didn't trim the end beforehand.