A high-performance algorithmic trading platform and event-driven backtester
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Updated
Jan 27, 2025 - Python
A high-performance algorithmic trading platform and event-driven backtester
NBA sports betting using machine learning
Collection of sports betting AI tools.
Sports betting assistant (with interface) which optimizes earnings regarding odds and offers
A package containing the essential math required for sports betting and gambling.
Python script to scrape Bet365 odds using Selenium.
goto_conversion - Used by 4+ Gold Medal Solutions on Kaggle
Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.
sportmonks is a Python 3.5+ package that implements SportMonks API.
Model created for FiveThirtyEight Forecast Competition
Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts
Using AI to predict the outcomes of NBA games.
A sport predictions full-stack application that generates betting recommendations & data on Prize Picks using linear regression.
A simple environment where testing betting strategy on real odds
A bot that provides soccer predictions using Poisson regression
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
A data and analytics engineering platform designed for real-time sports betting analytics.
"I'd walk through hell in a gasoline suit to play baseball." - Pete Rose (Charlie Hustle). Python scripts to pull MLB Gameday and stats data, build models, predict outcomes, make plays.
Using FiveThirtyEight, Masseyratings, Sportline data on NFL winners combined with SCIKIT machine learning to predict the winner of a NFL GAME
Obtaining odds for MLB and NFL games through an API
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