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Store fully analyzed dataframe

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This commit is contained in:
Matthias 2021-07-31 10:00:24 +02:00
parent b1cbc75e93
commit 1ccc89d1e9
1 changed files with 2 additions and 2 deletions
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4
freqtrade/optimize/backtesting.py
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@ -227,7 +227,7 @@ class Backtesting:
pair_data.loc[:, 'buy_tag'] = None # cleanup if buy_tag is exist pair_data.loc[:, 'buy_tag'] = None # cleanup if buy_tag is exist
df_analyzed = self.strategy.advise_sell( df_analyzed = self.strategy.advise_sell(
self.strategy.advise_buy(pair_data, {'pair': pair}), {'pair': pair})[headers].copy() self.strategy.advise_buy(pair_data, {'pair': pair}), {'pair': pair}).copy()
# Trim startup period from analyzed dataframe # Trim startup period from analyzed dataframe
df_analyzed = trim_dataframe(df_analyzed, self.timerange, df_analyzed = trim_dataframe(df_analyzed, self.timerange,
startup_candles=self.required_startup) startup_candles=self.required_startup)
@ -245,7 +245,7 @@ class Backtesting:
# Convert from Pandas to list for performance reasons # Convert from Pandas to list for performance reasons
# (Looping Pandas is slow.) # (Looping Pandas is slow.)
data[pair] = df_analyzed.values.tolist() data[pair] = df_analyzed[headers].values.tolist()
return data return data
def _get_close_rate(self, sell_row: Tuple, trade: LocalTrade, sell: SellCheckTuple, def _get_close_rate(self, sell_row: Tuple, trade: LocalTrade, sell: SellCheckTuple,