9287 Commits

Author	SHA1	Message	Date
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	b708134c1a	switch multiproc thread count to rl_config definition	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
robcaulk	8b3a8234ac	fix env bug, allow example strat to short	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	4b9499e321	improve nomenclature and fix short exit bug	2022-08-24 13:00:55 +02:00
sonnhfit	4baa36bdcf	fix persist a single training environment for PPO	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
sonnhfit	7962a1439b	remove keep low profit	2022-08-24 13:00:55 +02:00
sonnhfit	81b5aa66e8	make env keep current position when low profit	2022-08-24 13:00:55 +02:00
sonnhfit	45218faeb0	fix coding convention	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
MukavaValkku	2080ff86ed	5ac base fixes in logic	2022-08-24 13:00:55 +02:00
robcaulk	16cec7dfbd	fix save/reload functionality for stablebaselines	2022-08-24 13:00:55 +02:00
sonnhfit	0475b7cb18	remove unuse code and fix coding conventions	2022-08-24 13:00:55 +02:00
MukavaValkku	d60a166fbf	multiproc TDQN with xtra callbacks	2022-08-24 13:00:55 +02:00
robcaulk	dd382dd370	add monitor to eval env so that multiproc can save best_model	2022-08-24 13:00:55 +02:00
robcaulk	69d542d3e2	match config and strats to upstream freqai	2022-08-24 13:00:55 +02:00
robcaulk	e5df39e891	ensuring best_model is placed in ram and saved to disk and loaded from disk	2022-08-24 13:00:55 +02:00
robcaulk	bf7ceba958	set cpu threads in config	2022-08-24 13:00:55 +02:00
MukavaValkku	57c488a6f1	learning_rate + multicpu changes	2022-08-24 13:00:55 +02:00
robcaulk	acf3484e88	add multiprocessing variant of ReinforcementLearningPPO	2022-08-24 13:00:55 +02:00
MukavaValkku	cf0731095f	type fix	2022-08-24 13:00:55 +02:00
MukavaValkku	1c81ec6016	3ac and 5ac example strategies	2022-08-24 13:00:55 +02:00
MukavaValkku	13cd18dc9a	PPO policy change + verbose=1	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
MukavaValkku	096533bcb9	3ac to 5ac	2022-08-24 13:00:55 +02:00
MukavaValkku	718c9d0440	action fix	2022-08-24 13:00:55 +02:00
robcaulk	9c78e6c26f	base PPO model only customizes reward for 3AC	2022-08-24 13:00:55 +02:00
robcaulk	6048f60f13	get TDQN working with 5 action environment	2022-08-24 13:00:55 +02:00
robcaulk	d4db5c3281	ensure TDQN class is properly named	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
sonnhfit	ecd1f55abc	add rl module	2022-08-24 13:00:55 +02:00
MukavaValkku	9b895500b3	initial commit - new dev branch	2022-08-24 13:00:55 +02:00
MukavaValkku	cd3fe44424	callback function and TDQN model added	2022-08-24 13:00:55 +02:00
MukavaValkku	01232e9a1f	callback function and TDQN model added	2022-08-24 13:00:55 +02:00
MukavaValkku	8eeaab2746	add reward function	2022-08-24 13:00:55 +02:00
MukavaValkku	ec813434f5	ReinforcementLearningModel	2022-08-24 13:00:55 +02:00
MukavaValkku	2f4d73eb06	Revert "ReinforcementLearningModel" ... This reverts commit 4d8dfe1ff1daa47276eda77118ddf39c13512a85.	2022-08-24 13:00:55 +02:00
MukavaValkku	c1e7db3130	ReinforcementLearningModel	2022-08-24 13:00:55 +02:00
robcaulk	05ed1b544f	Working base for reinforcement learning model	2022-08-24 13:00:40 +02:00