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Applied MLSide project2024Quantitative modeling

Horse Racing Analytics

Ensemble modeling with Kelly Criterion bet sizing

PythonPandasMultinomial logit

One line summary

Benter style multinomial logit, weighted power score, and Bolton Chapman value filter with Kelly Criterion bet sizing. Analytical, personal interest work.

Status

Detailed case study is in progress. The summary above and the metadata in the header are accurate. Architecture diagrams, hardest technical challenges, and full results writeups are being authored in the coming days.

What this project covers

Benter style multinomial logit, weighted power score, and Bolton Chapman value filter with Kelly Criterion bet sizing. Analytical, personal interest work.

Role

Quantitative modeling.

Stack

  • Python
  • Pandas
  • Multinomial logit