Quantitative Finance with Rust : Fast-Track Crash Course: Learn Rust for Options Pricing, Portfolio Optimization, and Monte Carlo Simulation
Overview
Reactive Publishing
Learn Rust for Quantitative Finance, Fast
Quantitative 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 Rust
-
Portfolio Optimization: Build efficient frontiers and risk-return optimizers
-
Monte Carlo Simulations: Run reproducible, high-speed simulations for pricing and risk analysis
-
Data Handling & Visualization: Process large datasets and visualize results seamlessly
-
Concurrency & Parallelism: Exploit Rust's memory safety and multithreading to scale computations
This 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 format
-
Practical Focus: Every chapter includes examples you can run, tweak, and expand
-
Perfect 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.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9798265832863
- ISBN-10: 9798265832863
- Publisher: Independently Published
- Publish Date: September 2025
- Dimensions: 9 x 6 x 1.25 inches
- Shipping Weight: 1.81 pounds
- Page Count: 622
Related Categories
