This project showcases my exploration into building high-performance trading systems using Rust. The goal was to create a low-latency trading infrastructure that leverages Rust’s memory safety guarantees while maintaining the speed necessary for competitive trading environments.
Performance-Critical Design
Low latency trading demands microsecond-level response times. Rust’s zero-cost abstractions and lack of garbage collection make it an ideal choice for this domain. The system is designed to minimize allocations in hot paths and maximize cache efficiency.
Technical Highlights
The project demonstrates several key concepts in high-performance systems development:
- Lock-free data structures for concurrent access
- Memory-mapped I/O for efficient data handling
- Careful attention to cache line optimization
- Minimal system call overhead in critical paths
Learning Journey
Building this system has deepened my understanding of:
- Market microstructure and order book dynamics
- Network protocol optimization
- Real-time systems design patterns
- Performance profiling and optimization techniques
This project represents the intersection of my interests in systems programming and financial technology.
You can find the source code on GitHub.