21in7 58596785aa feat(weekly-report): add ML trigger check and degradation sweep ...

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-07 00:42:53 +09:00

..

__init__.py

feat: implement ML filter with LightGBM for trading signal validation

2026-03-01 17:07:18 +09:00

collect_oi.py

feat: add OI long-term collection script for cron-based data accumulation

2026-03-04 20:24:14 +09:00

deploy_model.sh

feat: add --symbol/--all CLI to all training scripts for per-symbol pipeline

2026-03-05 23:21:32 +09:00

fetch_history.py

feat: enhance data handling and model training features

2026-03-05 23:57:44 +09:00

profile_training.py

feat: remove in-container retraining, training is now mac-only

2026-03-01 18:54:00 +09:00

run_backtest.py

feat: strategy parameter sweep and production param optimization

2026-03-06 23:39:43 +09:00

run_optuna.sh

feat: add run_optuna.sh wrapper script for Optuna tuning

2026-03-02 14:50:50 +09:00

run_tests.sh

feat: implement HOLD negative sampling and stratified undersampling in ML pipeline

2026-03-03 00:13:42 +09:00

strategy_sweep.py

feat: strategy parameter sweep and production param optimization

2026-03-06 23:39:43 +09:00

test_reverse_reenter.sh

feat: implement immediate re-entry after closing position on reverse signal

2026-03-02 01:34:36 +09:00

train_and_deploy.sh

feat: enhance data handling and model training features

2026-03-05 23:57:44 +09:00

train_mlx_model.py

feat: MLX 임계값 탐색을 정밀도 우선(recall>=0.15 조건부)으로 변경

2026-03-01 23:54:38 +09:00

train_model.py

feat: add --symbol/--all CLI to all training scripts for per-symbol pipeline

2026-03-05 23:21:32 +09:00

tune_hyperparams.py

feat: add --symbol/--all CLI to all training scripts for per-symbol pipeline

2026-03-05 23:21:32 +09:00

weekly_report.py

feat(weekly-report): add ML trigger check and degradation sweep

2026-03-07 00:42:53 +09:00