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History: 81 commits

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feat(ai): add bilingual account and chart labels

03271ba about 1 month ago

charts
feat(ai): add bilingual account and chart labels about 1 month ago
datasets
feat(ai): sync trade logs datasets and daily reflections about 1 month ago
market_history
fix(ui): restore full-day charts and remove synthetic metrics about 1 month ago
price_replay
feat(ai): add causal holding research and price replay dashboards about 1 month ago
build_daily_dataset.py
4.4 kB
feat(ml): implement multi-model zoo, hmm regime, and monte carlo engine 2 months ago
build_dataset.py
4.08 kB
feat(ai): add single stock dataset generator script for ML simulation research 2 months ago
build_intraday_5m_dataset.py
5 kB
feat(ai): implement t+0 daytrading 5m ml pipeline and dual horizon mode 2 months ago
build_ml_predictions_cache.py
6.12 kB
feat(ai): fix grouping method and enhance prompt about 2 months ago
build_recent_2w_dataset.py
9.1 kB
feat(ml): upgrade 2-week multi-asset probability engine and institutional ofi exits about 2 months ago
generate_ml_visualizations.py
10.5 kB
feat(ml): add institutional ml diagnostic plot generator and visual blueprint 2 months ago
ml_predictions_cache.json
7.49 kB
feat(ai): fix grouping method and enhance prompt about 2 months ago
push_code_to_hf_space.py
1.99 kB
feat(ai): implement robinhood style ml prediction trajectory and multi horizon ensemble about 2 months ago
run_continuous_ml_research.py
5.88 kB
feat(ai): integrate hf trade history into continuous ml peak research pipeline 2 months ago
sync_full_history_to_hf.py
6.35 kB
feat(ai): restore docker sdk configuration for full stack huggingface space about 2 months ago
train_advanced_ml_ensemble.py
18.2 kB
feat(ai): support intraday historical date review and enable shorting execution about 1 month ago
train_daytrade_model.py
3.1 kB
feat(ai): implement t+0 daytrading 5m ml pipeline and dual horizon mode 2 months ago
train_per_ticker_models.py
9.16 kB
feat(ai): integrate per-ticker ml models and replace hardcoded exit with dynamic trailing stop about 2 months ago
train_probability_model.py
8.25 kB
feat(ml): implement multi-model zoo, hmm regime, and monte carlo engine 2 months ago