richardjozsa 926f870fb5 Improve the training by randomly setting the starting point ...

This is an improvement for all kind of RL stuff, the starting point sets in the first third of the data which ensures that the model not only optimizes the policy or Q values to the choosen timerange.

2022-11-15 00:16:04 +01:00

..

__init__.py

restructure RL so that user can customize environment

2022-08-24 13:00:55 +02:00

Base4ActionRLEnv.py

switch to using FT calc_profi_pct, reverse entry/exit fees

2022-11-13 13:41:17 +01:00

Base5ActionRLEnv.py

add test coverage, fix bug in base environment. Ensure proper fee is used.

2022-11-13 15:31:37 +01:00

BaseEnvironment.py

Improve the training by randomly setting the starting point

2022-11-15 00:16:04 +01:00

BaseReinforcementLearningModel.py

fix docstrings

2022-11-13 17:43:52 +01:00