Implementing In-Game Kelly Criterion in python for my Sports Betting Money Management package

I'll be working today on implementing the in-game Kelly Criterion for live betting from the paper that I found in the last live stream.
Check out the links below to see my other stuff for sports betting
LINKS:
I used a Gaussian Classifier to find wins/losses with this data. The technique I found generates positive returns for each year 2014-2021 when using at least 7 seasons of training data: • Predicting NFL Outcome...
I've scraped moneyline, spread and total data going back to 2007. Watch here: • How I Got $264 of NFL ...
Get the data here: github.com/phy... (Please star the repository if you find it useful!)
Betting strategy heirarchy chart: drive.google.c...
#python #coding #sportsbetting #nfl #football #programming #data #datascience #machinelearning #ai