Commit Graph

194 Commits

Author SHA1 Message Date
robcaulk
c9be66b5b6 increase test coverage for dk, improve function naming, extra cleaning 2022-09-03 15:52:29 +02:00
Matthias
80b5f035ab Remove typo in log message 2022-09-03 15:01:28 +02:00
robcaulk
599c1c79fb reorganized backtest utilities, test new functionality, improve/update doc 2022-09-03 14:00:01 +02:00
Wagner Costa Santos
af5460cebf Add option to keep models only in memory for backtest 2022-09-02 22:01:53 -03:00
Wagner Costa Santos
d6e115178a refactoring freqai backtesting - remove duplicate code 2022-09-01 07:09:23 -03:00
Wagner Costa Santos
44d3a9140d Merge branch 'develop' of https://github.com/wagnercosta/freqtrade into develop 2022-08-31 15:37:06 -03:00
Wagner Costa Santos
7bed0450d2 pr review - refactoring backtesting freqai 2022-08-31 15:36:29 -03:00
wagnercosta
3d4497467c
Merge branch 'freqtrade:develop' into develop 2022-08-31 14:47:06 -03:00
Wagner Costa Santos
df51da22ee refactoring freqai backtesting 2022-08-31 11:23:48 -03:00
Matthias
a88ffd2c9d Merge branch 'develop' into move_datadownload 2022-08-31 10:23:45 +00:00
robcaulk
7f52908e87 ensure the lost points are prepended for FreqUI 2022-08-30 18:55:58 +02:00
robcaulk
a58dd0bbf9 add noise feature, improve docstrings 2022-08-30 18:26:24 +02:00
robcaulk
b11742a4c5 integrate inlier metric function 2022-08-30 18:26:24 +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
f9a49744e6 add strategy to the freqai object 2022-08-24 13:00:55 +02:00
robcaulk
05ed1b544f Working base for reinforcement learning model 2022-08-24 13:00:40 +02:00
robcaulk
96d8882f1e Plug mem leak, add training timer 2022-08-22 13:30:30 +02:00
robcaulk
5155afb4e7 clean up code remnants 2022-08-17 15:22:48 +02:00
robcaulk
0c34104e45 extract download-data from freqai to prepare for future async changes 2022-08-17 15:18:44 +02:00
Matthias
c7e1719215 Fix interface import sorting 2022-08-15 06:53:02 +02:00
robcaulk
8961b8d560 merge in inference timer and historic predictions handling improvements. 2022-08-14 20:31:15 +02:00
robcaulk
ad846cdb76 fix lock bug, update docstring 2022-08-14 20:24:29 +02:00
Matthias
464d99808f Update doc table formatting 2022-08-14 18:22:01 +02:00
Matthias
a29402ddde Rename and move analysis_lock to data_kitchen 2022-08-14 17:23:14 +02:00
robcaulk
31be707cc8 clean up code, add docstrings 2022-08-13 19:40:24 +02:00
robcaulk
3e38c1b0bd take dynamic sized tail off historic_predictions as return dataframe to strategy. 2022-08-13 19:40:24 +02:00
robcaulk
7d448fd4ac allow fit_live_predictions access to current pair 2022-08-13 19:40:24 +02:00
robcaulk
1f192be43b avoid denormalizing labels twice 2022-08-13 19:40:24 +02:00
robcaulk
b1b76a2dbe debug classifier with predict proba 2022-08-13 19:40:24 +02:00
robcaulk
2cae3c42e6 remove trade database analyzer, clean up a bit 2022-08-10 17:43:06 +02:00
Matthias
77b3b8a134 Use main exchange instead of creating a separate instance. 2022-08-08 18:34:11 +00:00
robcaulk
eb8bde37c1 Add lightgbm classifier, add classifier check test, fix classifier bug. 2022-08-06 17:51:21 +02:00
Matthias
47a30047eb Fix typo 2022-08-06 15:03:10 +02:00
Matthias
b16f57cb0d Minor stylistic fixes 2022-08-06 14:55:46 +02:00
Robert Caulk
c172ce1011 improve flexibility of user defined prediction dataframe 2022-08-06 13:51:19 +02:00
Robert Caulk
07763d0d4f add classifier, improve model naming scheme 2022-08-06 08:33:55 +02:00
robcaulk
a42a060ab5 fix DB once and for all. Make DBSCAN more efficient and robust. 2022-08-05 21:29:03 +02:00
robcaulk
db1d367941 fix bug associated to fit_live_predictions_candles 2022-08-05 13:46:20 +02:00
Robert Caulk
51a6b4289f improve DBSCAN performance for subsequent trainings 2022-08-04 17:41:58 +02:00
robcaulk
29225e4baf add DBSCAN outlier detection feature, add supporting documentation 2022-08-04 12:15:16 +02:00
robcaulk
eae82d0222 fix bug with database url during backtesting. comment out example trade db analysis. 2022-08-03 16:17:57 +02:00
robcaulk
95d3009a95 give user ability to analyze live trade dataframe inside custom prediction model. Add documentation to explain new functionality 2022-08-02 20:14:02 +02:00
robcaulk
f22b140782 fix backtesting bug, undo move of label stat calc, fix example strat exit logic 2022-07-29 17:27:35 +02:00
robcaulk
c84d54b35e Fix typing issue, avoid using .get() when unnecessary, convert to fstrings 2022-07-29 08:12:50 +02:00
Matthias
efbd83c56d Small type and typo fixes in freqai_interface 2022-07-28 07:24:30 +02:00
Matthias
a2a0d35a24 Update missing typehints 2022-07-28 07:07:40 +02:00
robcaulk
324e54c015 fix possible memory leak associated with Catboost Pool object 2022-07-26 17:29:29 +02:00
robcaulk
ad25a4cb56 reduce number of pair_dict lookups, remove coin_first 2022-07-26 15:58:40 +02:00
robcaulk
e213d0ad55 isolate data_drawer functions from data_kitchen, accommodate tests, add new test 2022-07-26 10:24:14 +02:00
Robert Caulk
897f18a8c8 ensure proper integer type casting for timestamps. Add check test for backtesting subdaily time periods 2022-07-25 15:07:09 +02:00
Robert Caulk
7b105532d1 fix mypy error and add test for principal component analysis 2022-07-25 11:46:59 +02:00
Robert Caulk
c9d46a5237 finish bringing follow_mode up to date 2022-07-25 09:24:40 +02:00
Matthias
1885deb632 More docstring changes 2022-07-24 16:54:39 +02:00
Matthias
70b7a254af Update some areas to use default docstring formatting 2022-07-24 16:51:48 +02:00
robcaulk
f3d46613ee move prediction denormalization into datakitchen. remove duplicate associated code. avoid normalization/denormalization for string dtypes. 2022-07-23 17:14:33 +02:00
robcaulk
c2d6a0e891 add record of contribution to doc and source 2022-07-23 13:04:06 +02:00
robcaulk
5559e605b8 small PR conversation resolutions 2022-07-22 17:46:14 +02:00
robcaulk
afcb0bec00 clean up obsolete comments, move remove_features_from_df to datakitchen 2022-07-22 12:29:20 +02:00
robcaulk
8033e0bf23 add counter to backtesting log so users know how many more pairs and how many more models will need to be trained 2022-07-21 13:22:12 +02:00
robcaulk
e694ea1cfd make sure backtesting gets the populated indicators with slimmed down user strat 2022-07-21 12:48:09 +02:00
robcaulk
8f86b0deaa *breaking change* simplify user strat by consolidating feature loops into backend 2022-07-21 12:24:22 +02:00
robcaulk
e7337728bf add separator in folder name just incase an asset ends in an integer 2022-07-21 11:25:28 +02:00
robcaulk
921a7ef216 add requirements-freqai.txt to builds 2022-07-20 15:51:25 +02:00
robcaulk
d43c146676 add more tests for datakitchen functionalities, add regression tests for freqai_interface train/backtest 2022-07-20 12:56:46 +02:00
robcaulk
ef409dd345 Add ground work for TensorFlow models, add protections from common mistakes 2022-07-12 18:09:17 +02:00
Robert Caulk
8ce6b18318 start collecting indefinite history of predictions. Allow user to generate statistics on these predictions. Direct FreqAI to save these to disk and reload them if available. 2022-07-11 22:01:48 +02:00
Robert Caulk
607455919e Change config parameter names to improve clarity and consistency throughout the code (!!breaking change, please check discord support channel for migration instructions or review templates/FreqaiExampleStrategy.py config_examples/config_freqai_futures.example.json file changes!!) 2022-07-10 12:35:44 +02:00
robcaulk
d9acdc9767 remove excess, increase no model warning clarity 2022-07-06 18:20:21 +02:00
robcaulk
4cac67fd66 Catch infrequent issue associated with grabbing first candle 2022-07-05 12:43:33 +02:00
robcaulk
bd3a6ba2fe update backtesting to handle new output framework 2022-07-03 17:34:44 +02:00
robcaulk
ffb39a5029 black formatting on freqai files 2022-07-03 10:59:38 +02:00
robcaulk
106131ff0f Rehaul organization of return values 2022-07-02 18:09:38 +02:00
robcaulk
93e1410ed9 first step toward cleaning output and enabling multimodel training per pair 2022-07-01 14:00:30 +02:00
robcaulk
6c7d02cb18 expose nu in the SVM outlier detection via svm_nu in config 2022-06-28 15:12:25 +02:00
robcaulk
7dfbd432d1 fix config saving bug, assign priorities to pairs in scanning, sleep the scanning loop to reduce CPU usage 2022-06-27 11:35:33 +02:00
robcaulk
68bafa9517 archive config to the model folder, filter out features before returning dataframe to strategy (to alleviate frequi issues)` 2022-06-26 23:03:48 +02:00
robcaulk
b35c64b6c0 fix bug in backtest, typo in example strat 2022-06-19 16:41:09 +02:00
robcaulk
3599d18ff6 fix bug in follow_mode, thanks @blood4rc 2022-06-18 12:05:28 +02:00
robcaulk
6da7a98857 add docstrings to new functions, remove superceded code 2022-06-17 16:16:23 +02:00
robcaulk
f631ae911b add model expiration feature, fix bug in DI return values 2022-06-17 14:55:40 +02:00
robcaulk
0b0688a91e ensure scanning purges models 2022-06-16 16:12:38 +02:00
robcaulk
c5de0c49e4 first functional scanning commit 2022-06-16 00:24:18 +02:00
robcaulk
4d472a0ea1 merging datarehaul into scanning branch 2022-06-16 00:22:49 +02:00
robcaulk
66800c7a45 ensure newest candles are always appended 2022-06-07 20:24:23 +02:00
robcaulk
15d049cffe detect if upper tf candles are new or not, append if so. Correct the epoch for candle update check 2022-06-07 19:49:20 +02:00
robcaulk
4b26b6aaec add lock to any historic data access 2022-06-07 00:54:18 +02:00
robcaulk
d6b8801f41 fix follower bug 2022-06-05 04:40:58 +02:00
robcaulk
16b4a5b71f rehaul of backend data management - increasing performance by holding history in memory, reducing load on the ratelimit by only pinging exchange once per candle. Improve code readability. 2022-06-03 15:19:46 +02:00
robcaulk
ace951bf7e another queue bug fix for fresh starts 2022-06-02 13:28:06 +02:00
robcaulk
833d25bda0 Save data after queue reorg 2022-06-01 08:05:38 +02:00
robcaulk
0b0dd8dd80 Force high priority pair to be trained before anything else. 2022-06-01 07:55:05 +02:00
robcaulk
7523ed825e automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now). 2022-05-31 18:42:27 +02:00
robcaulk
9b3b08a2bb let follower purge old model files 2022-05-31 15:37:38 +02:00
robcaulk
bac4ced382 Ensure follower predictions are persistent and uniquely stored 2022-05-31 14:35:04 +02:00
robcaulk
70adf55643 Automatically detect and change follower data_path to accommodate remote systems 2022-05-31 12:35:09 +02:00
robcaulk
0306f5ca13 Add autopurge feature so that FreqAI cleans up after itself when it no longer needs old models on disk 2022-05-31 11:58:21 +02:00
robcaulk
45f4f0f603 ensure follower sends back null arrays in case leader hasnt created a model file yet 2022-05-31 01:48:48 +02:00
robcaulk
606f18e5c1 Add follow_mode feature so that secondary bots can be launched with the same identifier and load models trained by the leader 2022-05-30 21:35:48 +02:00
robcaulk
5b4c649d43 detect variable sized dataframes coming from strat, adjust our stored/returned data accordingly 2022-05-30 13:55:46 +02:00
robcaulk
e229902381 fix bug in previous commit 2022-05-30 12:48:22 +02:00