Quantitative Finance with Rust: Fast-Track Crash Course: Learn Rust for Options Pricing, Portfolio Optimization, and Monte Carlo Simulation (Rust for ... for Finance, Data Science & High-Performance)
Format:
Paperback
En stock
0.82 kg
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Nuevo
Amazon
USA
- Reactive PublishingLearn Rust for Quantitative Finance, FastQuantitative finance is all about speed, from pricing models to risk analysis, and Rust is the language built for high-performance computation. Quantitative Finance with Rust: Fast-Track Crash Course gives you a practical, accelerated path to mastering Rust for real-world finance applications.Inside, you’ll cover:Options Pricing Models: Implement Black-Scholes and binomial models in RustPortfolio Optimization: Build efficient frontiers and risk-return optimizersMonte Carlo Simulations: Run reproducible, high-speed simulations for pricing and risk analysisData Handling & Visualization: Process large datasets and visualize results seamlesslyConcurrency & Parallelism: Exploit Rust’s memory safety and multithreading to scale computationsThis crash course is designed to take you from zero to productive fast, with clear explanations, working code examples, and hands-on exercises that let you start applying Rust to real trading and investment problems immediately. Why This Book?Accelerated Learning: Covers the core finance applications of Rust in a compact, no-fluff formatPractical Focus: Every chapter includes examples you can run, tweak, and expandPerfect for Busy Quants: Learn exactly what you need to know, nothing more, nothing less If you want to add Rust to your quant toolkit and start writing production-ready financial code, this crash course is your shortcut.
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