Hayden Van Der Post (Author), Alice Schwartz (Editor)
Rust for Quant Finance: High-Speed Trading & Optimization in 2025/
Hayden Van Der Post (Author), Alice Schwartz (Editor)
- Reactive Publishing 2025
- 533 p. : ill. ;
Discover the future of algorithmic trading with Rust for Quant Finance: High-Speed Trading & Optimization in 2025 — your definitive guide to building lightning-fast, memory-safe trading systems with one of the most powerful emerging languages in finance.
As traditional languages like Python and C++ begin to show their limits in latency-sensitive environments, Rust is rapidly becoming the go-to for quants and financial engineers seeking superior performance without compromising safety or reliability. This book is your tactical advantage.
Inside, you’ll learn:
How to harness Rust's performance for backtesting, strategy execution, and risk modeling
Techniques to optimize real-time market data pipelines and order execution logic
Memory-safe concurrency for multi-threaded trading systems
FFI integration: bridging Rust with legacy codebases (Python, C++)
Practical examples: building a trading engine, calculating indicators, and performing Monte Carlo simulations
Deployment-ready codebases for 2025’s trading stack
Whether you're a quant developer looking to upgrade your infrastructure or a Python algo trader chasing microsecond advantage, this book positions you on the bleeding edge of financial system design.
9798319252982 9798319252982
2007038106
GBA790675 bnb
014276182 Uk
Investments--Data processing. Futures--Data processing. Options (Finance)--Techniques to optimize real-time market data pipelines and order execution logic