This passion project is a self-built arbitrage dashboard that explores the intersection between mathematics, technology, and business decision-making. Beginning with limited programming experience, the project necessitated learning many of the required tools and processes through ongoing research. The system retrieves live odds data from multiple sportsbooks through The Odds API, a free-to-use platform. In running an algorithm that makes comparisons across all books for the same events, when the sum of implied probabilities for both outcomes of an event falls below 100%, an arbitrage opportunity is identified. Building this project required designing a back-end that retrieves data and manipulates it in search of opportunities. The front-end was developed to showcase this cleaned-up data and highlight any arbitrage opportunities found by the system. Because of the high efficiency of sportsbooks' pricing in head-to-head (H2H) markets, the tool shows betting opportunities that come close to being arbitrage, allowing users to see at least some data at all times.
This project reflects the relationship between quantitative tools and business strategy in the increasingly data-oriented world. Arbitrage detection mirrors the analysis of real-world markets and identifying mispriced assets. Creating this system required both the technical thinking of a programmer and the quantitative thinking of an analyst, proving to be a great learning experience. Ultimately, the project serves as a practical example of how mathematics can be applied to support real-world business decision-making.
