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