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increase candle update flexibility to allow long sequential trainings that may last more than one candle

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This commit is contained in:
robcaulk 2022-06-07 20:57:10 +02:00
parent 66800c7a45
commit d9b79d94e4
1 changed files with 9 additions and 2 deletions
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11
freqtrade/freqai/data_kitchen.py
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@ -866,15 +866,22 @@ class FreqaiDataKitchen:
for pair in self.all_pairs: for pair in self.all_pairs:
for tf in self.freqai_config.get('timeframes'): for tf in self.freqai_config.get('timeframes'):
# check if newest candle is already appended # check if newest candle is already appended
df_dp = strategy.dp.get_pair_dataframe(pair, tf)
if ( if (
str(history_data[pair][tf].iloc[-1]['date']) == str(history_data[pair][tf].iloc[-1]['date']) ==
str(strategy.dp.get_pair_dataframe(pair, tf).iloc[-1:]['date'].iloc[-1]) str(df_dp.iloc[-1:]['date'].iloc[-1])
): ):
continue continue
index = df_dp.loc[
df_dp['date'] ==
history_data[pair][tf].iloc[-1]['date']
].index[0] + 1
history_data[pair][tf] = pd.concat( history_data[pair][tf] = pd.concat(
[history_data[pair][tf], [history_data[pair][tf],
strategy.dp.get_pair_dataframe(pair, tf).iloc[-1:]], strategy.dp.get_pair_dataframe(pair, tf).iloc[index:]],
ignore_index=True, axis=0 ignore_index=True, axis=0
) )