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make docs reflect reality, move download_all_data to new utils.py file, automatic startup_candle detection

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robcaulk
2022-08-26 15:30:01 +02:00
parent 4b7e640f31
commit 65b552e310
4 changed files with 14 additions and 63 deletions
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14
freqtrade/data/dataprovider.py
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@@ -106,15 +106,17 @@ class DataProvider:
return self.__cached_pairs_backtesting[saved_pair].copy()
def get_required_startup(self, timeframe: str) -> int:
if not self._config.get('freqai', {}).get('enabled', False):
freqai_config = self._config.get('freqai', {})
if not freqai_config.get('enabled', False):
return self._config.get('startup_candle_count', 0)
else:
if not self._config['startup_candle_count']:
raise OperationalException('FreqAI backtesting module requires strategy '
'set startup_candle_count.')
startup_candles = self._config.get('startup_candle_count', 0)
indicator_periods = freqai_config['feature_parameters']['indicator_periods_candles']
# make sure the startupcandles is at least the set maximum indicator periods
self._config['startup_candle_count'] = max(startup_candles, max(indicator_periods))
tf_seconds = timeframe_to_seconds(timeframe)
train_candles = self._config['freqai']['train_period_days'] * 86400 / tf_seconds
total_candles = int(self._config.get('startup_candle_count', 0) + train_candles)
train_candles = freqai_config['train_period_days'] * 86400 / tf_seconds
total_candles = int(self._config['startup_candle_count'] + train_candles)
logger.info(f'Increasing startup_candle_count for freqai to {total_candles}')
return total_candles