A random forest model that generate profit of $40K in 3000 races based on 10000+ horse-racing records with 98 raw features
-
Updated
Feb 2, 2022 - Jupyter Notebook
A random forest model that generate profit of $40K in 3000 races based on 10000+ horse-racing records with 98 raw features
天喜數據庫 · 香港賽馬 AI 數據平台 (2016-2026, 67K+ 賽果, 每日自動更新)
LightGBM/XGBoost ensemble + Kelly criterion for HKJC horse racing. 2017 quinella +7.9% ROI, 2018 H1 OOS +2.6% ROI.
Honest HKJC horse-racing edge-detection research tool — ingests data, models win probabilities, walk-forward validates itself, and concludes NO-GO (no edge vs the market). Native desktop app, NO-BET by default.
To associate your repository with the hkjc topic, visit your repo's landing page and select "manage topics."