robcaulk
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c84d54b35e
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Fix typing issue, avoid using .get() when unnecessary, convert to fstrings
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2022-07-29 08:12:50 +02:00 |
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robcaulk
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e213d0ad55
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isolate data_drawer functions from data_kitchen, accommodate tests, add new test
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2022-07-26 10:24:14 +02:00 |
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robcaulk
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56b17e6f3c
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allow user to pass test_size = 0 and avoid using eval sets in prediction models
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2022-07-25 19:40:13 +02:00 |
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Robert Caulk
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897f18a8c8
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ensure proper integer type casting for timestamps. Add check test for backtesting subdaily time periods
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2022-07-25 15:07:09 +02:00 |
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Matthias
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61c41fd919
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Merge branch 'develop' into feat/freqai
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2022-07-24 16:18:58 +02:00 |
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Robert Caulk
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88e10f7306
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add exception for not passing timerange. Remove hard coded arguments for CatboostPredictionModels. Update docs
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2022-07-24 09:01:23 +02:00 |
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Robert Caulk
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fff39eff9e
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fix multitarget bug
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2022-07-24 08:42:50 +02:00 |
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robcaulk
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f3d46613ee
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move prediction denormalization into datakitchen. remove duplicate associated code. avoid normalization/denormalization for string dtypes.
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2022-07-23 17:14:33 +02:00 |
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robcaulk
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c91e23dc50
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let user avoid normalizing labels
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2022-07-23 16:14:13 +02:00 |
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robcaulk
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a1cff377ec
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add record of contribution to data_kitchen.py
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2022-07-23 13:32:04 +02:00 |
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robcaulk
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40f00196eb
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use cloudpickle in place of pickle. define Paths once in data_drawer.
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2022-07-22 17:37:51 +02:00 |
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robcaulk
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afcb0bec00
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clean up obsolete comments, move remove_features_from_df to datakitchen
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2022-07-22 12:29:20 +02:00 |
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robcaulk
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3205788bce
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extend doc to include descriptions of the return values from FreqAI to the strategy
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2022-07-21 22:11:46 +02:00 |
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robcaulk
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183dec866a
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remove ability to backtest open ended timeranges (safer)
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2022-07-21 13:02:52 +02:00 |
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robcaulk
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ca4dd58642
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remove superceded function from datakitchen
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2022-07-21 12:40:54 +02:00 |
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robcaulk
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8f86b0deaa
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*breaking change* simplify user strat by consolidating feature loops into backend
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2022-07-21 12:24:22 +02:00 |
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robcaulk
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e7337728bf
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add separator in folder name just incase an asset ends in an integer
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2022-07-21 11:25:28 +02:00 |
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robcaulk
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d43c146676
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add more tests for datakitchen functionalities, add regression tests for freqai_interface train/backtest
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2022-07-20 12:56:46 +02:00 |
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lolong
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9c051958a6
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Feat/freqai (#7105)
Vectorize weight setting, log training dates
Co-authored-by: robcaulk <rob.caulk@gmail.com>
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2022-07-19 17:49:18 +02:00 |
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robcaulk
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714d9534b6
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start adding tests
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2022-07-19 16:16:44 +02:00 |
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lolong
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ed0f8b1189
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Improve FreqAI documentation (#7072)
Improve doc + some other small fixes
Co-authored-by: robcaulk <rob.caulk@gmail.com>
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2022-07-18 11:57:52 +02:00 |
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robcaulk
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ef409dd345
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Add ground work for TensorFlow models, add protections from common mistakes
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2022-07-12 18:09:17 +02:00 |
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Robert Caulk
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8ce6b18318
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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.
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2022-07-11 22:01:48 +02:00 |
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Robert Caulk
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607455919e
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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!!)
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2022-07-10 12:35:44 +02:00 |
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robcaulk
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d9acdc9767
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remove excess, increase no model warning clarity
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2022-07-06 18:20:21 +02:00 |
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robcaulk
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4cac67fd66
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Catch infrequent issue associated with grabbing first candle
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2022-07-05 12:43:33 +02:00 |
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robcaulk
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bd3a6ba2fe
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update backtesting to handle new output framework
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2022-07-03 17:34:44 +02:00 |
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robcaulk
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4ff0ef7359
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fix bug returning multiple targets for training
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2022-07-03 12:15:59 +02:00 |
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robcaulk
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ffb39a5029
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black formatting on freqai files
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2022-07-03 10:59:38 +02:00 |
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robcaulk
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106131ff0f
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Rehaul organization of return values
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2022-07-02 18:09:38 +02:00 |
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robcaulk
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93e1410ed9
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first step toward cleaning output and enabling multimodel training per pair
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2022-07-01 14:00:30 +02:00 |
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robcaulk
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6c7d02cb18
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expose nu in the SVM outlier detection via svm_nu in config
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2022-06-28 15:12:25 +02:00 |
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robcaulk
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051b99791d
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reduce unnecessary verbosity, fix error on first training sweep, add LightGBMPredictionModel
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2022-06-26 19:04:23 +02:00 |
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Robert Caulk
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852706cd6b
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Fix default behavior for expiration_hours
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2022-06-21 08:12:51 +02:00 |
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robcaulk
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6da7a98857
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add docstrings to new functions, remove superceded code
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2022-06-17 16:16:23 +02:00 |
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robcaulk
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f631ae911b
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add model expiration feature, fix bug in DI return values
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2022-06-17 14:55:40 +02:00 |
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robcaulk
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c5de0c49e4
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first functional scanning commit
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2022-06-16 00:24:18 +02:00 |
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robcaulk
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4d472a0ea1
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merging datarehaul into scanning branch
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2022-06-16 00:22:49 +02:00 |
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robcaulk
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eb47c74096
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merge datarehaul into main freqai branch
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2022-06-10 20:26:19 +02:00 |
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robcaulk
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d9b79d94e4
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increase candle update flexibility to allow long sequential trainings that may last more than one candle
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2022-06-07 20:57:10 +02:00 |
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robcaulk
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15d049cffe
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detect if upper tf candles are new or not, append if so. Correct the epoch for candle update check
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2022-06-07 19:49:20 +02:00 |
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robcaulk
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4b26b6aaec
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add lock to any historic data access
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2022-06-07 00:54:18 +02:00 |
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robcaulk
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d6b8801f41
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fix follower bug
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2022-06-05 04:40:58 +02:00 |
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robcaulk
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e8c0dcf9f3
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add debug message to timerange
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2022-06-03 17:14:07 +02:00 |
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robcaulk
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16b4a5b71f
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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.
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2022-06-03 15:19:46 +02:00 |
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robcaulk
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15a971346d
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catch infinity values when filtering
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2022-06-02 17:13:20 +02:00 |
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robcaulk
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7523ed825e
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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).
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2022-05-31 18:42:27 +02:00 |
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robcaulk
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70adf55643
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Automatically detect and change follower data_path to accommodate remote systems
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2022-05-31 12:35:09 +02:00 |
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robcaulk
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0306f5ca13
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Add autopurge feature so that FreqAI cleans up after itself when it no longer needs old models on disk
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2022-05-31 11:58:21 +02:00 |
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robcaulk
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29d2f59f12
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fix PCA bug
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2022-05-31 00:40:45 +02:00 |
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robcaulk
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a20651efd8
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Increase performance by only predicting on most recent candle instead of full strat provided dataframe. Collect predictions and store them so that we can feed true predictions back to strategy (so that frequi isnt updating historic predictions based on newly trained models).
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2022-05-30 11:37:05 +02:00 |
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robcaulk
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2f1a2c1cd7
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allow users to store data in custom formats, update spot config to reflect better target horizon to training period ratio
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2022-05-30 02:12:31 +02:00 |
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robcaulk
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4eb4753e20
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allow subdaily retraining for backtesting
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2022-05-29 17:44:35 +02:00 |
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robcaulk
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83dd453723
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catch errors occuring on background thread, and make sure to keep the ball rolling. Improve pair retraining queue.
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2022-05-28 18:26:19 +02:00 |
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robcaulk
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2a4d1e2d64
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fix bug in setting new timerange for retraining
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2022-05-28 12:23:26 +02:00 |
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robcaulk
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7870a86e9a
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fix live retraining bug
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2022-05-28 11:38:57 +02:00 |
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robcaulk
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c5a16e91fb
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throw user error if user tries to load models but feeds the wrong features (while using PCA)
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2022-05-28 11:11:41 +02:00 |
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robcaulk
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b8f9c3557b
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dirty dirty, dont look here (hacking a flag to avoid reloading leverage_tiers in dry/live)
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2022-05-27 13:56:34 +02:00 |
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robcaulk
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891fb87712
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give load_cached_data_for_updating the right flags to avoid redownloading data in dry/live
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2022-05-27 13:38:22 +02:00 |
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robcaulk
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65fdebab75
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let load_pairs_histories load futures candles in live
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2022-05-27 13:01:33 +02:00 |
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robcaulk
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c080571b7a
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help futures go dry/live with auto download feature
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2022-05-27 12:23:32 +02:00 |
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robcaulk
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8a501831d6
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fix the error logic on previous commit
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2022-05-27 01:15:55 +02:00 |
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robcaulk
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23c30dbc10
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add error for user trying to backtest with backtest_period<1
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2022-05-27 00:43:52 +02:00 |
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robcaulk
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6193205012
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fix bug for target_mean/std array merging in backtesting
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2022-05-26 21:07:50 +02:00 |
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robcaulk
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b79d4e8876
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Allow user to go live and start from pretrained models (after a completed backtest) by simply reusing the identifier config parameter while dry/live.
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2022-05-25 14:40:32 +02:00 |
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robcaulk
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7486d9d9e2
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proper validation of freqai config parameters
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2022-05-25 12:37:25 +02:00 |
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robcaulk
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7ff3258607
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remove assertions, log error if user has not assigned freqai in config, fix stratify bug
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2022-05-25 11:43:45 +02:00 |
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robcaulk
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31ae2b3060
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alleviate FutureWarning in sklearn about ensuring svm model features are passed with identical order
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2022-05-24 14:46:16 +02:00 |
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robcaulk
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059c285425
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paying closer attention to managing live retraining on separate thread without affecting prediction of other coins on master thread
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2022-05-24 12:01:01 +02:00 |
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robcaulk
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b0d2d13eb1
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improve data persistence/mapping for live/dry. This accommodates quick reloads after crash and handles multi-pair cleanly
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2022-05-23 21:05:05 +02:00 |
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robcaulk
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e1c068ca66
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add config asserts, use .get method with default values for optional functionality, move data_cleaning_* to freqai_interface (away from user custom pred model) since it is controlled by config params.
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2022-05-23 12:07:09 +02:00 |
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robcaulk
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ee3cdd0ffe
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more cleanup
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2022-05-23 09:55:58 +02:00 |
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robcaulk
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3587bd82e1
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cleanup superceded code
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2022-05-23 00:10:36 +02:00 |
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robcaulk
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af0cc21af9
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Enable hourly/minute retraining in live/dry. Suppress catboost folder output. Update config + constants + docs to reflect updates.
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2022-05-23 00:06:26 +02:00 |
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robcaulk
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42d95af829
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Aggregated commit. Adding support vector machine for outlier detection, improve user interface to dry/live, better standardization, fix various other bugs
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2022-05-22 17:51:49 +02:00 |
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robcaulk
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1fae6c9ef7
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keep model accessible in memory to avoid loading objects from disk during live/dry
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2022-05-19 19:27:38 +02:00 |
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robcaulk
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db66b82f6f
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accept open-ended timeranges from user
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2022-05-17 19:50:06 +02:00 |
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robcaulk
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d1d451c27e
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auto populate features based on a prepended % in the strategy (remove feature assignment from config). Update doc/constants/example strategy to reflect change
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2022-05-17 18:15:03 +02:00 |
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robcaulk
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80dcd88abf
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allow user to run config from anywhere on their system
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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a8022c104a
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give beta testers more information in the doc
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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9b3e5faebe
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create more flexible whitelist, avoid duplicating whitelist features into corr_pairlist, update docs
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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22bd5556ed
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add self-retraining functionality for live/dry
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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178c2014b0
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appease mypy
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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f653ace24b
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another attempt at fixing datalength bug
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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b03c7b514d
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optional style for interfacing freqai with backtesting
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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3020218096
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fix bug on backtest timerange
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2022-05-15 17:41:34 +02:00 |
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robcaulk
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00ff0c9b91
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ensure user defined timerange truncates final backtest so that we arent mismatching data lengths upon return to strategy. Rename DataHandler class to FreqaiDataKitchen
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2022-05-15 17:41:34 +02:00 |
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