Cedric Schmeits 8ad5afd3a1 As -sharp_ratio is returned the value should be nagative. ... This leads in a high positive result of the loss function, as it is a minimal optimizer		2019-08-08 22:10:51 +02:00
..
__init__.py	setup_configuration() cleanup	2019-06-16 21:37:43 +03:00
backtesting.py	Merge pull request #2101 from freqtrade/backtest_ticker_interval_unset	2019-08-07 14:20:36 +02:00
default_hyperopt_loss.py	minor: add OnlyProfitHyperOptLoss	2019-07-23 18:51:24 +03:00
default_hyperopt.py	Update hyperopt-loss to use resolver	2019-07-16 06:27:43 +02:00
edge_cli.py	make configuration a sep. module, including arguments	2019-07-12 00:49:23 +03:00
hyperopt_interface.py	Mypy type errors	2019-06-21 07:10:30 +02:00
hyperopt_loss_interface.py	Update hyperopt-loss to use resolver	2019-07-16 06:27:43 +02:00
hyperopt_loss_onlyprofit.py	max() removed	2019-07-25 08:17:41 +03:00
hyperopt_loss_sharpe.py	As -sharp_ratio is returned the value should be nagative.	2019-08-08 22:10:51 +02:00
hyperopt.py	'with values:' line removed	2019-08-03 11:05:05 +03:00