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| 100 | _dHayden Van Der Post (Author), Alice Schwartz (Editor) | ||
| 245 | 1 | 4 |
_aRust for Quant Finance: _cHayden Van Der Post (Author), Alice Schwartz (Editor) _bHigh-Speed Trading & Optimization in 2025/ |
| 260 |
_bReactive Publishing _c2025 |
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| 300 |
_a533 p. : _bill. ; |
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| 520 | _aDiscover 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. | ||
| 650 | 0 |
_aInvestments _xData processing. |
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| 650 | 0 |
_aFutures _xData processing. |
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| 650 | 0 |
_aOptions (Finance) _2FFI integration _vTechniques to optimize real-time market data pipelines and order execution logic |
|
| 690 | _bDeployment-ready codebases for 2025’s trading stack | ||
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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