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148 Commits

Author SHA1 Message Date
robcaulk
b2bab68fba move price assignment to feature_engineering_standard() to reduce un-requested feature additions in RL. Ensure old method of price assignment still works, add deprecation warning to help users migrate their strategies 2022-12-30 13:02:39 +01:00
robcaulk
6f7eb71bbb ensure RL works with new naming scheme 2022-12-28 14:52:33 +01:00
robcaulk
c2936d551b improve doc, update test strats, change function names 2022-12-28 13:25:40 +01:00
Emre
7727f31507
Add 3 Action RL env 2022-12-16 22:18:49 +03:00
Emre
dde363343c
Add can_short param to base env 2022-12-16 22:16:19 +03:00
initrv
36948e2a74 fix base4 env done condition 2022-12-16 14:14:05 +03:00
robcaulk
581a5296cc fix docstrings to reflect new env_info changes 2022-12-15 16:50:08 +01:00
robcaulk
7b4abd5ef5 use a dictionary to make code more readable 2022-12-15 12:25:33 +01:00
Emre
3af2251ce8
Fix add_state_info backtesting bug 2022-12-14 22:03:23 +03:00
Emre
2018da0767
Add env_info dict to base environment 2022-12-14 22:03:05 +03:00
robcaulk
2285ca7d2a add dp to multiproc 2022-12-14 18:22:20 +01:00
initrv
f9b7d35900 add increment param for tensorboard_log 2022-12-12 14:14:23 +03:00
robcaulk
0f6b98b69a merge develop into tensorboard cleanup 2022-12-11 15:38:32 +01:00
robcaulk
0fd8e214e4 add documentation for tensorboard_log, change how users interact with tensorboard_log 2022-12-11 15:31:29 +01:00
initrv
cb8fc3c8c7 custom info to tensorboard_metrics 2022-12-11 15:37:45 +03:00
robcaulk
7b3406914c flip add_state_info 2022-12-07 19:49:39 +01:00
robcaulk
9b4364ddc3 ensure that add_state_info is deactivated during backtesting 2022-12-07 19:49:14 +01:00
initrv
58604c747e cleanup tensorboard callback 2022-12-07 14:37:55 +03:00
robcaulk
62c69bf2b5 fix custom_info 2022-12-05 20:22:54 +01:00
robcaulk
d8565261e1 ignore initializer type 2022-12-04 14:10:33 +01:00
robcaulk
24766928ba reorganize/generalize tensorboard callback 2022-12-04 13:54:30 +01:00
smarmau
b2edc58089
fix flake8 2022-12-03 22:31:02 +11:00
smarmau
469aa0d43f
add state/action info to callbacks 2022-12-03 21:16:46 +11:00
Matthias
4dc591a170
Merge pull request #7834 from freqtrade/fix-data-drawer-model-load 
Fix sb3_contrib loading issue
 2022-12-02 06:29:23 +01:00
robcaulk
2b3e166dc2 fix fees RL 2022-12-01 10:10:28 +01:00
Emre
4a9982f86b
Fix sb3_contrib loading issue 2022-12-01 10:08:42 +03:00
robcaulk
e7f72d52b8 bring back market side setting in get_state_info 2022-11-30 12:36:26 +01:00
Matthias
c3daddc629
Merge pull request #7809 from richardjozsa/develop 
Improve the RL learning process
 2022-11-29 06:28:36 +01:00
Emre
9cbfa12011
Directly set model_type in base RL model 2022-11-28 16:02:17 +03:00
robcaulk
56518def42 isort 2022-11-27 21:06:01 +01:00
robcaulk
7fd6bc526e add randomize_starting_position to the rl_config 2022-11-27 21:03:13 +01:00
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
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
sonnhfit
0475b7cb18 remove unuse code and fix coding conventions 2022-08-24 13:00:55 +02:00
robcaulk
bf7ceba958 set cpu threads in config 2022-08-24 13:00:55 +02:00
robcaulk
acf3484e88 add multiprocessing variant of ReinforcementLearningPPO 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