86 Commits

Author	SHA1	Message	Date
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
robcaulk	7295ba0fb2	add test for Base4ActionEnv	2022-09-22 23:42:33 +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	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	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
mrzdev	8cd4daad0a	Feat/freqai rl dev (#7) ... * access trades through get_trades_proxy method to allow backtesting	2022-08-24 13:00:55 +02:00
robcaulk	3eb897c2f8	reuse callback, allow user to acces all stable_baselines3 agents via config	2022-08-24 13:00:55 +02:00
robcaulk	f95602f6bd	persist a single training environment.	2022-08-24 13:00:55 +02:00
robcaulk	5d4e5e69fe	reinforce training with state info, reinforce prediction with state info, restructure config to accommodate all parameters from any user imported model type. Set 5Act to default env on TDQN. Clean example config.	2022-08-24 13:00:55 +02:00
robcaulk	b90da46b1b	improve price df handling to enable backtesting	2022-08-24 13:00:55 +02:00
robcaulk	bf7ceba958	set cpu threads in config	2022-08-24 13:00:55 +02:00
robcaulk	926023935f	make base 3ac and base 5ac environments. TDQN defaults to 3AC.	2022-08-24 13:00:55 +02:00
robcaulk	91683e1dca	restructure RL so that user can customize environment	2022-08-24 13:00:55 +02:00