Rust for Quant Finance: Hayden Van Der Post (Author), Alice Schwartz (Editor) High-Speed Trading & Optimization in 2025/
Material type:
TextPublisher: Reactive Publishing 2025Description: 533 p. : illContent type: Media type: unmediated Carrier type: volumeISBN: 9798319252982; 9798319252982Subject(s): Investments -- Data processing | Futures -- Data processing | Options (Finance) -- Techniques to optimize real-time market data pipelines and order execution logic | Deployment-ready codebases for 2025’s trading stackDDC classification: 332.64/5 LOC classification: HG4515 ,R878 2025Summary: 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.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Main Library | HG4515 .R878 2025 (Browse shelf (Opens below)) | Available | 51952000266358 | |
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Books
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Main Library | HG4515 .R878 2025 (Browse shelf (Opens below)) | Available | 51952000266099 |
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| HG4135 .N436 2004 Business finance : a value-based approach / | HG4135 .P35 2009 Corporate finance and investment : decisions & strategies / | HG4509.A83 2011 آفاق الاستثمار في الجهات الخيرية / | HG4515 .R878 2025 Rust for Quant Finance: High-Speed Trading & Optimization in 2025/ | HG4515.13 .A45 2015 Impact investment : a practical guide to investment process and social impact analysis + website / | HG4515.13 .E67 2014 Measuring and improving social impacts : a guide for nonprofits, companies, and impact investors / | HG4515.15 .N643 2011 The psychology of investing / |
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.
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