robcaulk
|
d830105605
|
*BREAKING CHANGE* remove unnecessary arguments from populate_any_indicators(), accommodate tests
|
2022-07-31 17:05:29 +02:00 |
|
robcaulk
|
dd8288c090
|
expose full parameter set for SVM outlier detection. Set default shuffle to false to improve reproducibility
|
2022-07-30 13:40:05 +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 |
|
robcaulk
|
e213d0ad55
|
isolate data_drawer functions from data_kitchen, accommodate tests, add new test
|
2022-07-26 10:24:14 +02:00 |
|
robcaulk
|
56b17e6f3c
|
allow user to pass test_size = 0 and avoid using eval sets in prediction models
|
2022-07-25 19:40:13 +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 |
|
Matthias
|
61c41fd919
|
Merge branch 'develop' into feat/freqai
|
2022-07-24 16:18:58 +02:00 |
|
Robert Caulk
|
88e10f7306
|
add exception for not passing timerange. Remove hard coded arguments for CatboostPredictionModels. Update docs
|
2022-07-24 09:01:23 +02:00 |
|
Robert Caulk
|
fff39eff9e
|
fix multitarget bug
|
2022-07-24 08:42:50 +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
|
c91e23dc50
|
let user avoid normalizing labels
|
2022-07-23 16:14:13 +02:00 |
|
robcaulk
|
a1cff377ec
|
add record of contribution to data_kitchen.py
|
2022-07-23 13:32:04 +02:00 |
|
robcaulk
|
40f00196eb
|
use cloudpickle in place of pickle. define Paths once in data_drawer.
|
2022-07-22 17:37:51 +02:00 |
|
robcaulk
|
afcb0bec00
|
clean up obsolete comments, move remove_features_from_df to datakitchen
|
2022-07-22 12:29:20 +02:00 |
|
robcaulk
|
3205788bce
|
extend doc to include descriptions of the return values from FreqAI to the strategy
|
2022-07-21 22:11:46 +02:00 |
|
robcaulk
|
183dec866a
|
remove ability to backtest open ended timeranges (safer)
|
2022-07-21 13:02:52 +02:00 |
|
robcaulk
|
ca4dd58642
|
remove superceded function from datakitchen
|
2022-07-21 12:40:54 +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
|
d43c146676
|
add more tests for datakitchen functionalities, add regression tests for freqai_interface train/backtest
|
2022-07-20 12:56:46 +02:00 |
|
lolong
|
9c051958a6
|
Feat/freqai (#7105)
Vectorize weight setting, log training dates
Co-authored-by: robcaulk <rob.caulk@gmail.com>
|
2022-07-19 17:49:18 +02:00 |
|
robcaulk
|
714d9534b6
|
start adding tests
|
2022-07-19 16:16:44 +02:00 |
|
lolong
|
ed0f8b1189
|
Improve FreqAI documentation (#7072)
Improve doc + some other small fixes
Co-authored-by: robcaulk <rob.caulk@gmail.com>
|
2022-07-18 11:57:52 +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
|
4ff0ef7359
|
fix bug returning multiple targets for training
|
2022-07-03 12:15:59 +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
|
051b99791d
|
reduce unnecessary verbosity, fix error on first training sweep, add LightGBMPredictionModel
|
2022-06-26 19:04:23 +02:00 |
|
Robert Caulk
|
852706cd6b
|
Fix default behavior for expiration_hours
|
2022-06-21 08:12:51 +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
|
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
|
eb47c74096
|
merge datarehaul into main freqai branch
|
2022-06-10 20:26:19 +02:00 |
|
robcaulk
|
d9b79d94e4
|
increase candle update flexibility to allow long sequential trainings that may last more than one candle
|
2022-06-07 20:57:10 +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
|
e8c0dcf9f3
|
add debug message to timerange
|
2022-06-03 17:14:07 +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
|
15a971346d
|
catch infinity values when filtering
|
2022-06-02 17:13:20 +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 |
|