c293401b22
Add can_short to freqai base model
2022-12-16 23:19:08 +03:00
7727f31507
Add 3 Action RL env
2022-12-16 22:18:49 +03:00
dde363343c
Add can_short param to base env
2022-12-16 22:16:19 +03:00
36948e2a74
fix base4 env done condition
2022-12-16 14:14:05 +03:00
581a5296cc
fix docstrings to reflect new env_info changes
2022-12-15 16:50:08 +01:00
7b4abd5ef5
use a dictionary to make code more readable
2022-12-15 12:25:33 +01:00
3af2251ce8
Fix add_state_info backtesting bug
2022-12-14 22:03:23 +03:00
2018da0767
Add env_info dict to base environment
2022-12-14 22:03:05 +03:00
2285ca7d2a
add dp to multiproc
2022-12-14 18:22:20 +01:00
e6da646e2f
Merge pull request #7866 from initrv/cleanup-tensorboard-callback
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Cleanup tensorboard callback
2022-12-13 09:05:46 +01:00
f9b7d35900
add increment param for tensorboard_log
2022-12-12 14:14:23 +03:00
0f6b98b69a
merge develop into tensorboard cleanup
2022-12-11 15:38:32 +01:00
0fd8e214e4
add documentation for tensorboard_log, change how users interact with tensorboard_log
2022-12-11 15:31:29 +01:00
888ba65367
Merge branch 'develop' into fix/multioutput-bug
2022-12-11 15:23:53 +01:00
cb8fc3c8c7
custom info to tensorboard_metrics
2022-12-11 15:37:45 +03:00
8c7ec07951
ensure predict_proba follows suit. Remove all lib specific params from example config
2022-12-11 12:39:31 +01:00
85f22b5c30
fix bug in MultiOutput* with conv_width = 1
2022-12-11 12:15:19 +01:00
272c3302e3
Merge remote-tracking branch 'origin/develop' into update-freqai-tf-handling
2022-12-11 13:12:45 +03:00
7b3406914c
flip add_state_info
2022-12-07 19:49:39 +01:00
9b4364ddc3
ensure that add_state_info is deactivated during backtesting
2022-12-07 19:49:14 +01:00
58604c747e
cleanup tensorboard callback
2022-12-07 14:37:55 +03:00
b9f6911a6a
Merge pull request #7843 from smarmau/develop
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freqai RL agent info during training
2022-12-06 20:06:41 +01:00
c81b00fb37
Merge branch 'develop' into freqai_bt_from_predictions_improvement
2022-12-05 18:00:55 -03:00
bc48099e48
Revert changes
2022-12-05 23:52:48 +03:00
62c69bf2b5
fix custom_info
2022-12-05 20:22:54 +01:00
730fba956b
Ensure base tf included in include_timeframes
2022-12-05 16:16:17 +03:00
e734b39929
Make model_training_parameters optional
2022-12-05 14:54:42 +03:00
d8565261e1
ignore initializer type
2022-12-04 14:10:33 +01:00
24766928ba
reorganize/generalize tensorboard callback
2022-12-04 13:54:30 +01:00
b2edc58089
fix flake8
2022-12-03 22:31:02 +11:00
d6f45a12ae
add multiproc fix flake8
2022-12-03 22:30:04 +11:00
469aa0d43f
add state/action info to callbacks
2022-12-03 21:16:46 +11:00
075c8c23c8
add state/action info to callbacks
2022-12-03 21:16:04 +11:00
4dc591a170
Merge pull request #7834 from freqtrade/fix-data-drawer-model-load
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Fix sb3_contrib loading issue
2022-12-02 06:29:23 +01:00
77dc2c92a7
performance improvevemnts - backtest freqai from saved predictions
2022-12-01 12:53:19 -03:00
2b3e166dc2
fix fees RL
2022-12-01 10:10:28 +01:00
396e666e9b
Keep old behavior of model loading
2022-12-01 11:03:51 +03:00
4a9982f86b
Fix sb3_contrib loading issue
2022-12-01 10:08:42 +03:00
dac4a35be2
Merge pull request #7828 from freqtrade/fix-state-info-rl
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bring back market side setting in get_state_info
2022-11-30 19:57:28 +01:00
79821ebb33
fix flake8 errors
2022-11-30 08:41:44 -03:00
e7f72d52b8
bring back market side setting in get_state_info
2022-11-30 12:36:26 +01:00
17cf3c7e83
bug fixes and removed fillna from fit_live_predictions
2022-11-30 08:28:45 -03:00
4571aedb33
consolidate and clean code
2022-11-30 00:53:35 +01:00
8ea58ab352
change BT prediction files to feather format
2022-11-29 10:38:35 -03:00
df979ece33
Merge branch 'develop' into backtest_fitlivepredictions
2022-11-29 09:39:15 -03:00
c3daddc629
Merge pull request #7809 from richardjozsa/develop
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Improve the RL learning process
2022-11-29 06:28:36 +01:00
9cbfa12011
Directly set model_type in base RL model
2022-11-28 16:02:17 +03:00
56518def42
isort
2022-11-27 21:06:01 +01:00
7fd6bc526e
add randomize_starting_position to the rl_config
2022-11-27 21:03:13 +01:00
64d4a52a56
Improve the RL learning process
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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
Emre
initrv
robcaulk
initrv
Matthias
Wagner Costa
smarmau
richardjozsa