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| title: NOMOS NBA Quant AI | |
| emoji: π | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 5.12.0 | |
| app_file: app.py | |
| pinned: true | |
| # NOMOS NBA Quant AI β Continuous Training | |
| Always-running agentic loop for NBA quantitative prediction models. | |
| - **5 tree-based models** evolved via NSGA-II genetic algorithm (CPU-optimized) | |
| - **8 seasons** of NBA data (9,551+ games, 2018-2026) | |
| - **Up to 200 features** (island-specific: 55-80) from v3.0-37cat engine with MOVDA | |
| - **Walk-forward backtesting** with Kelly criterion sizing | |
| - **Feature engine**: v3.0 + Cat36 EWMA + Cat37 MOVDA (deployed 2026-03-25) | |
| - **MAX_FEATURES=200** hard cap, mutation capped at 0.15, xgboost_brier fixed | |