Commit Graph

67 Commits

Author SHA1 Message Date
richardjozsa
64d4a52a56 Improve the RL learning process
Improve the RL learning process by selecting random start point for the agent, it can help to block the agent to only learn on the selected period of time, while improving the quality of the model.
2022-11-27 20:43:50 +01:00
stm
51d21b413d
Fix 4ac update_total_profit
_update_total_profit() must be executed before "self._position = Positions.Neutral" because _update_total_profit() calls get_unrealized_profit(), which returns 0 if position is neutral and total_profit is not updated
2022-11-26 23:35:20 +03:00
robcaulk
be890b52fd remove np import 2022-11-26 13:44:58 +01:00
robcaulk
aaaa5a5f64 add documentation for net_arch, other small changes 2022-11-26 13:44:58 +01:00
Matthias
7ebc8ee169 Fix missing Optional typehint 2022-11-26 13:32:18 +01:00
Matthias
bdfedb5fcb Improve typehints / reduce warnings from mypy 2022-11-26 13:03:07 +01:00
robcaulk
81fd2e588f ensure typing, remove unsued code 2022-11-26 12:11:59 +01:00
robcaulk
3a07749fcc fix docstring 2022-11-24 18:46:54 +01:00
robcaulk
44b042ba51 remove unused function 2022-11-24 17:53:26 +01:00
Matthias
8f1a8c752b Add freqairl docker build process 2022-11-24 07:00:12 +01:00
robcaulk
60fcd8dce2 fix skipped mac test, fix RL bug in add_state_info, fix use of __import__, revise doc 2022-11-17 21:50:02 +01:00
robcaulk
6394ef4558 fix docstrings 2022-11-13 17:43:52 +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
9c6b97c678 ensure normalization acceleration methods are employed in RL 2022-11-12 12:01:59 +01:00
robcaulk
6746868ea7 store dataprovider to self instead of strategy 2022-11-12 11:33:03 +01:00
robcaulk
8d7adfabe9 clean RL tests to avoid dir pollution and increase speed 2022-10-08 12:10:38 +02:00
robcaulk
488739424d fix reward inconsistency in template 2022-10-05 20:55:50 +02:00
robcaulk
cf882fa84e fix tests 2022-10-01 20:26:41 +02:00
Robert Caulk
555cc42630
Ensure 1 thread is available (for testing purposes) 2022-09-29 14:00:09 +02:00
Robert Caulk
dcf6ebe273
Update BaseReinforcementLearningModel.py 2022-09-29 00:37:03 +02:00
robcaulk
83343dc2f1 control number of threads, update doc 2022-09-29 00:10:18 +02:00
robcaulk
647200e8a7 isort 2022-09-23 19:30:56 +02:00
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
robcaulk
7295ba0fb2 add test for Base4ActionEnv 2022-09-22 23:42:33 +02:00
robcaulk
eeebb78a5c skip darwin in RL tests, remove example scripts, improve doc 2022-09-22 21:16:21 +02:00
robcaulk
7b1d409c98 fix mypy/flake8 2022-09-17 17:51:06 +02:00
robcaulk
3b97b3d5c8 fix mypy error for strategy 2022-09-15 00:56:51 +02:00
robcaulk
8aac644009 add tests. add guardrails. 2022-09-15 00:46:35 +02:00
robcaulk
48140bff91 fix bug in 4ActRLEnv 2022-09-14 22:53:53 +02:00
robcaulk
27dce20b29 fix bug in Base4ActionRLEnv, improve example strats 2022-09-04 11:21:54 +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
robcaulk
baa4f8e3d0 remove Base3ActionEnv in favor of Base4Action 2022-08-26 11:04:25 +02:00
richardjozsa
d31926efdf Added Base4Action 2022-08-26 11:04:25 +02:00
robcaulk
3199eb453b reduce code for base use-case, ensure multiproc inherits custom env, add ability to limit ram use. 2022-08-25 19:05:51 +02:00
robcaulk
94cfc8e63f fix multiproc callback, add continual learning to multiproc, fix totalprofit bug in env, set eval_freq automatically, improve default reward 2022-08-25 11:46:18 +02:00
robcaulk
d1bee29b1e improve default reward, fix bugs in environment 2022-08-24 18:32:40 +02:00
robcaulk
a61821e1c6 remove monitor log 2022-08-24 16:33:13 +02:00
robcaulk
bd870e2331 fix monitor bug, set default values in case user doesnt set params 2022-08-24 16:32:14 +02:00
robcaulk
c0cee5df07 add continual retraining feature, handly mypy typing reqs, improve docstrings 2022-08-24 13:00:55 +02:00
robcaulk
b26ed7dea4 fix generic reward, add time duration to reward 2022-08-24 13:00:55 +02:00
robcaulk
280a1dc3f8 add live rate, add trade duration 2022-08-24 13:00:55 +02:00
robcaulk
f9a49744e6 add strategy to the freqai object 2022-08-24 13:00:55 +02:00
richardjozsa
a2a4bc05db Fix the state profit calculation logic 2022-08-24 13:00:55 +02:00
robcaulk
29f0e01c4a expose environment reward parameters to the user config 2022-08-24 13:00:55 +02:00
robcaulk
d88a0dbf82 add sb3_contrib models to the available agents. include sb3_contrib in requirements. 2022-08-24 13:00:55 +02:00