Case Study: Gambit Research achieves faster, more expressive sports analytics and trading with Julia Computing

Gambit Research - Customer Case Study

Gambit Research is an innovative software and statistical consulting company focused on sports betting and high-frequency trading. Its statisticians and programmers needed a more expressive and performant way to prototype and build advanced tools for optimization, differential equations, machine learning, and market analysis, having previously relied mainly on Python and R. Julia Computing provided Julia to support these quantitative computing workloads.

With Julia, Gambit Research incorporated the language into its codebase and legacy environment, taking advantage of its speed, type system, macros, multiple dispatch, and seamless interoperability with Python. According to Gambit, Julia helps deliver code that is both more expressive and faster than Python, enabling them to pursue more ambitious projects and better optimize betting and trading strategies. The case study does not provide specific numerical metrics, but it highlights improved development flexibility and performance.

Gambit Research