Matthias
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819cc9c0e4
|
Fully align LightGBM with Catboost
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2022-07-10 11:06:18 +02:00 |
|
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 |
|
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
|
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 |
|
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 |
|
robcaulk
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ffb39a5029
|
black formatting on freqai files
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2022-07-03 10:59:38 +02:00 |
|
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 |
|
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 |
|
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
|
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 |
|
Matthias
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c981ad4608
|
Fix missing space
|
2022-06-12 08:31:02 +02:00 |
|
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 |
|
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 |
|
robcaulk
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66800c7a45
|
ensure newest candles are always appended
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2022-06-07 20:24:23 +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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cab8f517b4
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add lock to datadrawer
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2022-06-07 01:07:30 +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 |
|
Robert Caulk
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2451ed8c88
|
Quick bug fix
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2022-06-06 15:11:54 -06:00 |
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robcaulk
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d6b8801f41
|
fix follower bug
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2022-06-05 04:40:58 +02:00 |
|
robcaulk
|
e8c0dcf9f3
|
add debug message to timerange
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2022-06-03 17:14:07 +02:00 |
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robcaulk
|
f2762e3b4b
|
fix bug in return_values()
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2022-06-03 16:58:51 +02:00 |
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robcaulk
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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.
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2022-06-03 15:19:46 +02:00 |
|
robcaulk
|
15a971346d
|
catch infinity values when filtering
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2022-06-02 17:13:20 +02:00 |
|
robcaulk
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ace951bf7e
|
another queue bug fix for fresh starts
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2022-06-02 13:28:06 +02:00 |
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robcaulk
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833d25bda0
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Save data after queue reorg
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2022-06-01 08:05:38 +02:00 |
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robcaulk
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0b0dd8dd80
|
Force high priority pair to be trained before anything else.
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2022-06-01 07:55:05 +02:00 |
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robcaulk
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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).
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2022-05-31 18:42:27 +02:00 |
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robcaulk
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9b3b08a2bb
|
let follower purge old model files
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2022-05-31 15:37:38 +02:00 |
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robcaulk
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bac4ced382
|
Ensure follower predictions are persistent and uniquely stored
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2022-05-31 14:35:04 +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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45f4f0f603
|
ensure follower sends back null arrays in case leader hasnt created a model file yet
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2022-05-31 01:48:48 +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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606f18e5c1
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Add follow_mode feature so that secondary bots can be launched with the same identifier and load models trained by the leader
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2022-05-30 21:35:48 +02:00 |
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robcaulk
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5b4c649d43
|
detect variable sized dataframes coming from strat, adjust our stored/returned data accordingly
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2022-05-30 13:55:46 +02:00 |
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robcaulk
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e229902381
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fix bug in previous commit
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2022-05-30 12:48:22 +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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d59eac3321
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revert a79032b
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2022-05-29 21:33:38 +02:00 |
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robcaulk
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a79032bf75
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fixing bug in training queue
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2022-05-29 20:19:32 +02:00 |
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robcaulk
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3f72263278
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allow pairs deeper in the queue to get trained if the higher priority pairs dont need training
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2022-05-29 20:02:43 +02:00 |
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robcaulk
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cc6cae47ec
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allow pairs deeper in the queue to get trained if the higher priority pairs dont need training
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2022-05-29 19:49:43 +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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ce365eb9e3
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improve example strat so that it has dynamic buy and sell logic according to original prediction
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2022-05-29 14:45:46 +02:00 |
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robcaulk
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4eb29c8810
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Dont reset pair priority if it doesnt successfully train
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2022-05-28 18:34:26 +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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e54614fa2f
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remove remnants of single threaded version, ensure pair queue priority is checked before retraining
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2022-05-28 14:55:07 +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
|
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
|
0bf915054d
|
handle key check correctly
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2022-05-28 11:22:32 +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
|
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
|
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 |
|
robcaulk
|
35bed842cb
|
cleanup, add clarity to comments and docstrings
|
2022-05-25 11:31:03 +02:00 |
|
robcaulk
|
58b5abbaa6
|
improve multithreaded training queue system
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2022-05-24 15:28:38 +02:00 |
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robcaulk
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31ae2b3060
|
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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255d35976e
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add priority metadata to pairs to avoid a sync of train time + train period
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2022-05-24 12:58:53 +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.
|
2022-05-23 12:07:09 +02:00 |
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robcaulk
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ee3cdd0ffe
|
more cleanup
|
2022-05-23 09:55:58 +02:00 |
|
robcaulk
|
3587bd82e1
|
cleanup superceded code
|
2022-05-23 00:10:36 +02:00 |
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robcaulk
|
af0cc21af9
|
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
|
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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c5ecf94177
|
move live retraining to separate thread.
|
2022-05-19 21:15:58 +02:00 |
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robcaulk
|
1fae6c9ef7
|
keep model accessible in memory to avoid loading objects from disk during live/dry
|
2022-05-19 19:27:38 +02:00 |
|
robcaulk
|
89eacf2f47
|
Retrain model if FreqAI found a pretrained model but user strategy is not passing the expected features (user has changed the features in the strategy but has passed a the same config[freqai][identifier]). Logger warning output to user.
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2022-05-19 17:15:50 +02:00 |
|
Matthias
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c81b960791
|
Fix some typos
|
2022-05-17 19:58:36 +02:00 |
|
robcaulk
|
db66b82f6f
|
accept open-ended timeranges from user
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2022-05-17 19:50:06 +02:00 |
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robcaulk
|
d1d451c27e
|
auto populate features based on a prepended % in the strategy (remove feature assignment from config). Update doc/constants/example strategy to reflect change
|
2022-05-17 18:15:03 +02:00 |
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robcaulk
|
8664e8f9a3
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create a prediction_models folder where basic prediction models can live (similar to optimize/hyperopt-loss. Update resolver/docs/and gitignore to accommodate change
|
2022-05-17 17:13:38 +02:00 |
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robcaulk
|
80dcd88abf
|
allow user to run config from anywhere on their system
|
2022-05-15 17:42:15 +02:00 |
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robcaulk
|
a8022c104a
|
give beta testers more information in the doc
|
2022-05-15 17:42:15 +02:00 |
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robcaulk
|
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 |
|
robcaulk
|
22bd5556ed
|
add self-retraining functionality for live/dry
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2022-05-15 17:42:15 +02:00 |
|
robcaulk
|
178c2014b0
|
appease mypy
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2022-05-15 17:42:15 +02:00 |
|
robcaulk
|
f653ace24b
|
another attempt at fixing datalength bug
|
2022-05-15 17:42:15 +02:00 |
|
robcaulk
|
b08c0888bb
|
add USERPATH_FREQAIMODELS, remove return values from @abstract methods
|
2022-05-15 17:42:15 +02:00 |
|
robcaulk
|
b03c7b514d
|
optional style for interfacing freqai with backtesting
|
2022-05-15 17:42:15 +02:00 |
|
robcaulk
|
3020218096
|
fix bug on backtest timerange
|
2022-05-15 17:41:34 +02:00 |
|
robcaulk
|
00ff0c9b91
|
ensure user defined timerange truncates final backtest so that we arent mismatching data lengths upon return to strategy. Rename DataHandler class to FreqaiDataKitchen
|
2022-05-15 17:41:34 +02:00 |
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robcaulk
|
def71a0afe
|
auto build full_timerange and self manage training_timerange
|
2022-05-15 17:41:34 +02:00 |
|
robcaulk
|
764f9449b4
|
fix logger, debug some flake8 appeasements
|
2022-05-15 17:41:34 +02:00 |
|
robcaulk
|
29c2d1d189
|
use logger in favor of print
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2022-05-15 17:38:58 +02:00 |
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robcaulk
|
99f7e44c30
|
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
|
2022-05-15 17:38:58 +02:00 |
|
robcaulk
|
630d201546
|
remove trained_stake
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2022-05-15 17:38:58 +02:00 |
|
robcaulk
|
b40f8f88ac
|
cleaning and bug fixing
|
2022-05-15 17:38:58 +02:00 |
|
robcaulk
|
fc837c4daa
|
add freqao backend machinery, user interface, documentation
|
2022-05-15 17:38:58 +02:00 |
|