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

HG4515 ,R878 2025

332.64/5