nba-quant-2 / README.md
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feat: Cat 38 venue-conditional matchup features (14 new) + doc updates
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metadata
title: NOMOS NBA Quant AI
emoji: 🏀
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 5.12.0
app_file: app.py
pinned: true

NOMOS NBA Quant AI — 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