Finance with Rust: The Quantitative Trading Playbook: Build Algorithmic Strategies, Backtests, and Risk Models for Modern Markets (Rust for Finance & ... for Finance, Data Science & High-Performance)
I will be using this book for:

Finance with Rust: The Quantitative Trading Playbook: Build Algorithmic Strategies, Backtests, and Risk Models for Modern Markets (Rust for Finance & ... for Finance, Data Science & High-Performance)

by Ethan Crossley

Finance Programming Rust
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

Explore quantitative trading through Rust with a focused guide to algorithmic strategies, backtesting, and risk models. Designed around the intersection of finance, data science, and high-performance programming, this book introduces the core areas involved in building and evaluating modern market strategies.

About This Book

Finance with Rust presents a quantitative trading playbook centered on the Rust programming language.

The book focuses on algorithmic strategies, backtesting, and risk models for modern markets.

It connects finance, data science, and high-performance computing in a single subject area.

This resource is intended for readers exploring the use of Rust in finance and quantitative trading.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for: