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)
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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
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Learn to build algorithmic trading strategies, backtests, and risk models in Rust for quantitative finance and high-performance market applications.

About This Book

Finance with Rust introduces quantitative trading strategies and algorithmic development using the Rust programming language.

Readers explore backtesting frameworks and risk modeling techniques tailored for modern financial markets.

The book focuses on high-performance computing and data science applications within finance.

Content covers building robust systems for trading, analysis, and market strategy implementation.

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I will be using this book for: