robcaulk
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98c8a447b2
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add LightGBMPredictionMultiModel
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2022-07-22 12:40:51 +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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8033e0bf23
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add counter to backtesting log so users know how many more pairs and how many more models will need to be trained
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2022-07-21 13:22:12 +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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e694ea1cfd
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make sure backtesting gets the populated indicators with slimmed down user strat
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2022-07-21 12:48:09 +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remove superceded function from datakitchen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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921a7ef216
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add requirements-freqai.txt to builds
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2022-07-20 15:51:25 +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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Robert Caulk
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921f3899f0
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revert pickle reading for historic predictions
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2022-07-17 16:06:36 +02:00 |
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Robert Caulk
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41eeb99177
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load pickle file for writing
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2022-07-17 10:05:21 +02:00 |
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Robert Caulk
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9d184586f1
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fix bug in historic prediction saving
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2022-07-16 21:16:59 +02:00 |
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Wagner Costa Santos
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ca2029a46b
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fix issue when bot restarts with same identifier, does not load prediction history
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2022-07-14 18:55:24 -03:00 |
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robcaulk
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4141d165ff
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add BaseTensorFlowModel class
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2022-07-12 19:10:09 +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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fea63fba12
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Fix saving/loading historic predictions
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2022-07-12 10:12:50 +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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Matthias
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3fc92b1b21
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Create BaseRegression model - designed to reduce code duplication across currently available models.
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2022-07-11 11:33:59 +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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Matthias
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819cc9c0e4
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Fully align LightGBM with Catboost
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2022-07-10 11:06:18 +02:00 |
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Matthias
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58b18770e3
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Fix LightGBM missing argument in predict method
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2022-07-10 11:05:35 +02:00 |
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Matthias
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2e1061af64
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Fix faulty LightGBM model
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2022-07-09 08:21:42 +00:00 |
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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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8ac8d53c32
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All LGBMRegressor model parameters are now set in config
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2022-07-03 16:30:01 +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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7dfbd432d1
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fix config saving bug, assign priorities to pairs in scanning, sleep the scanning loop to reduce CPU usage
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2022-06-27 11:35:33 +02:00 |
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robcaulk
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68bafa9517
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archive config to the model folder, filter out features before returning dataframe to strategy (to alleviate frequi issues)`
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2022-06-26 23:03:48 +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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b35c64b6c0
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fix bug in backtest, typo in example strat
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2022-06-19 16:41:09 +02:00 |
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robcaulk
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3599d18ff6
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fix bug in follow_mode, thanks @blood4rc
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2022-06-18 12:05:28 +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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0b0688a91e
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ensure scanning purges models
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2022-06-16 16:12:38 +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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Matthias
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c981ad4608
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Fix missing space
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2022-06-12 08:31:02 +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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