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
robcaulk
388ca21200
update docs, fix bug in environment
2022-11-13 16:56:31 +01:00
robcaulk
af9e400562
add test coverage, fix bug in base environment. Ensure proper fee is used.
2022-11-13 15:31:37 +01:00
robcaulk
81f800a79b
switch to using FT calc_profi_pct, reverse entry/exit fees
2022-11-13 13:41:17 +01:00
robcaulk
e71a8b8ac1
add ability to integrate state info or not, and prevent state info integration during backtesting
2022-11-12 18:46:48 +01:00
robcaulk
77c360b264
improve typing, improve docstrings, ensure global tests pass
2022-09-23 19:17:27 +02:00
Robert Caulk
f5cd8f62c6
Remove unused code from BaseEnv
2022-09-23 10:24:39 +02:00
Richard Jozsa
2493e0c8a5
Unnecessary lines in Base4, and changes for box space, to fit better for our needs ( #7324 )
2022-08-31 16:37:02 +02:00
robcaulk
7766350c15
refactor environment inheritence tree to accommodate flexible action types/counts. fix bug in train profit handling
2022-08-28 19:21:57 +02:00
