Black Scholes: Algorithmic Options Trading with Rust: From Theory to Practice by Hayden Van Der Post, Alice Schwartz
English | May 28, 2024 | ISBN: N/A | ASIN: B0D5HVHTDX | 515 pages | EPUB | 1.26 Mb
English | May 28, 2024 | ISBN: N/A | ASIN: B0D5HVHTDX | 515 pages | EPUB | 1.26 Mb
Reactive Publishing
Step into the world of high-frequency trading and financial engineering with Mastering Black-Scholes: Algorithmic Options Trading with Rust - From Theory to Practice. This definitive guide bridges the gap between theoretical finance and practical implementation, providing you with the tools to harness the power of the Black-Scholes model using Rust, a cutting-edge programming language known for its performance and safety.
Key Features:
- Comprehensive Theory: Gain a deep understanding of the Black-Scholes model, including its mathematical foundations and its pivotal role in options pricing.
- Rust Programming: Learn why Rust is the ideal language for financial algorithms and how to leverage its features for efficient, low-latency trading systems.
- Algorithmic Trading: Explore step-by-step instructions to develop, test, and deploy Black-Scholes based trading algorithms in Rust.
- Practical Examples: Dive into real-world applications with detailed examples that illustrate how to apply theory to practice.
- Performance Optimization: Discover techniques to optimize your trading algorithms for maximum performance and minimal risk.
- Risk Management: Understand the principles of managing financial risk and how to integrate these strategies into your trading algorithms.
- Financial Analysts and Quants looking to deepen their understanding of options pricing models.
- Rust Developers interested in applying their skills to the finance domain.
- Algorithmic Traders seeking to enhance their strategies with robust, efficient code.
- Academics and Students of Finance, Mathematics, and Computer Science aiming to bridge theoretical concepts with practical applications.
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