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Minor improvements in data.history

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hroff-1902
2019-12-18 01:06:03 +03:00
parent 021fa1ca1a
commit cf4c3642ce
9 changed files with 44 additions and 53 deletions
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6
freqtrade/optimize/hyperopt.py
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@@ -23,7 +23,7 @@ from joblib import (Parallel, cpu_count, delayed, dump, load,
from pandas import DataFrame
from freqtrade import OperationalException
from freqtrade.data.history import get_timeframe, trim_dataframe
from freqtrade.data.history import get_timerange, trim_dataframe
from freqtrade.misc import plural, round_dict
from freqtrade.optimize.backtesting import Backtesting
# Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules
@@ -369,7 +369,7 @@ class Hyperopt:
processed = load(self.tickerdata_pickle)
min_date, max_date = get_timeframe(processed)
min_date, max_date = get_timerange(processed)
backtesting_results = self.backtesting.backtest(
{
@@ -490,7 +490,7 @@ class Hyperopt:
# Trim startup period from analyzed dataframe
for pair, df in preprocessed.items():
preprocessed[pair] = trim_dataframe(df, timerange)
min_date, max_date = get_timeframe(data)
min_date, max_date = get_timerange(data)
logger.info(
'Hyperopting with data from %s up to %s (%s days)..',