Code the Odds: Prediction Market Trading Using Python

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.