robcaulk
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4b7e640f31
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reduce code duplication, optimize auto data download per tf
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2022-08-26 13:56:44 +02:00 |
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robcaulk
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ac42c0153d
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deprecate indicator_max_period_candles, automatically compute startup candles for FreqAI backtesting.
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2022-08-22 18:19:07 +02:00 |
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robcaulk
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5155afb4e7
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clean up code remnants
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2022-08-17 15:22:48 +02:00 |
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robcaulk
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0c34104e45
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extract download-data from freqai to prepare for future async changes
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2022-08-17 15:18:44 +02:00 |
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robcaulk
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006b11e5d5
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fix leftover bug in indicator population
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2022-08-14 21:42:55 +02:00 |
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robcaulk
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ad846cdb76
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fix lock bug, update docstring
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2022-08-14 20:24:29 +02:00 |
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Matthias
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a29402ddde
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Rename and move analysis_lock to data_kitchen
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2022-08-14 17:23:14 +02:00 |
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Matthias
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3a9ec76c91
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Move "freqai.lock" to backend to simplify user interface
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2022-08-14 17:19:50 +02:00 |
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robcaulk
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b1b76a2dbe
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debug classifier with predict proba
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2022-08-13 19:40:24 +02:00 |
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robcaulk
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23cc21ce59
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add predict_proba to base classifier, improve historic predictions handling
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2022-08-13 19:40:24 +02:00 |
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robcaulk
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fb4b73ce89
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ensure dates are saved
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2022-08-12 12:03:44 +02:00 |
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robcaulk
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2cae3c42e6
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remove trade database analyzer, clean up a bit
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2022-08-10 17:43:06 +02:00 |
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robcaulk
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5a16d5a512
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Deactivate database analyzer if user does not use sqlite
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2022-08-09 16:36:22 +02:00 |
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robcaulk
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aef086b02e
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Improved dict typing, timeframe parser, collect dates associated with training data points
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2022-08-09 15:30:25 +02:00 |
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Matthias
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77b3b8a134
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Use main exchange instead of creating a separate instance.
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2022-08-08 18:34:11 +00:00 |
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Matthias
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b16f57cb0d
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Minor stylistic fixes
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2022-08-06 14:55:46 +02:00 |
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Robert Caulk
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c172ce1011
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improve flexibility of user defined prediction dataframe
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2022-08-06 13:51:19 +02:00 |
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Robert Caulk
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07763d0d4f
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add classifier, improve model naming scheme
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2022-08-06 08:33:55 +02:00 |
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Robert Caulk
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ce8fbbf743
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ensure loading historical df matches frequi indices
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2022-08-06 07:25:59 +02:00 |
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robcaulk
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60d782e5c5
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remove unnecessary function
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2022-08-05 21:31:32 +02:00 |
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robcaulk
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a42a060ab5
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fix DB once and for all. Make DBSCAN more efficient and robust.
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2022-08-05 21:29:03 +02:00 |
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robcaulk
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29b7b014e5
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fix bug in DB path initialization
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2022-08-05 18:19:26 +02:00 |
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robcaulk
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05ec5c5e54
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generalize database url path for any db type
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2022-08-05 12:19:29 +02:00 |
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Robert Caulk
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51a6b4289f
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improve DBSCAN performance for subsequent trainings
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2022-08-04 17:41:58 +02:00 |
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Robert Caulk
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fe1b8515a8
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fix bug in DBSCAN, update doc
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2022-08-04 17:00:59 +02:00 |
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robcaulk
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29225e4baf
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add DBSCAN outlier detection feature, add supporting documentation
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2022-08-04 12:15:16 +02:00 |
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robcaulk
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eae82d0222
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fix bug with database url during backtesting. comment out example trade db analysis.
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2022-08-03 16:17:57 +02:00 |
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robcaulk
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95d3009a95
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give user ability to analyze live trade dataframe inside custom prediction model. Add documentation to explain new functionality
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2022-08-02 20:14:02 +02:00 |
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robcaulk
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d830105605
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*BREAKING CHANGE* remove unnecessary arguments from populate_any_indicators(), accommodate tests
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2022-07-31 17:05:29 +02:00 |
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robcaulk
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dd8288c090
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expose full parameter set for SVM outlier detection. Set default shuffle to false to improve reproducibility
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2022-07-30 13:40:05 +02:00 |
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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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