Code the Odds

What if you could trade the outcome of real-world events the same way you trade stocks? Prediction markets let you bet on everything from election results to weather patterns to product launches-and the prices reveal what crowds really believe will happen. But while most people click buttons manually, a small group of quantitative traders have built automated systems that operate 24/7, spotting opportunities invisible to human traders.

This book is your blueprint for joining them. You'll build a complete algorithmic trading system from scratch using Python-one that connects to multiple prediction markets, calculates probabilities, detects arbitrage, and executes trades automatically. Whether you're a software engineer curious about quantitative finance, a data scientist looking for a real-world project, or an experienced trader exploring a new asset class, you'll learn the practical engineering skills to turn market inefficiencies into profit.

About The Author
GK Marballi has spent 20+ years turning data into competitive advantage for global brands---from Priceline to S&P Global and Barnes & Noble. He has led high-impact product and analytics teams, and navigated the front lines of the AI revolution. He is based in New York City and holds an MBA from Harvard Business School.