robcaulk
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f22b140782
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fix backtesting bug, undo move of label stat calc, fix example strat exit logic
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2022-07-29 17:27:35 +02:00 |
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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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