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Quantitative Finance with Julia: High-Performance Computing for Trading and Risk Management
Quantitative Finance with Julia is the definitive guide to mastering modern financial modeling, algorithmic trading, and risk management using Julia—the high-performance programming language transforming quantitative finance. Written by Hayden Van Der Post, a leading expert in financial strategy and algorithmic trading, this book provides an in-depth exploration of quantitative methods tailored for today’s fast-paced markets.
Designed for finance professionals, data scientists, and algorithmic traders, this book
Advanced Financial Modeling – Build robust, scalable models using Julia’s cutting-edge libraries.
Algorithmic Trading Strategies – Develop and test high-frequency trading algorithms with real-world applications.
Risk Management & Portfolio Optimization – Apply Monte Carlo simulations, stochastic calculus, and machine learning for risk assessment and portfolio construction.
Performance-Driven Quantitative Research – Leverage Julia’s speed and efficiency to analyze vast datasets, optimize strategies, and gain alpha.
Automated Execution & Market Microstructure – Implement real-time execution algorithms and understand market dynamics at a granular level.
With hands-on examples, code implementations, and industry-tested frameworks, Quantitative Finance with Julia empowers traders and quants to harness Julia’s unparalleled computational power for financial success. Whether you're optimizing trading algorithms or building predictive financial models, this book equips you with the tools and techniques to stay ahead in the evolving world of quantitative finance.
Reactive Publishing 2025
Designed for finance professionals, data scientists, and algorithmic traders, this book
Advanced Financial Modeling – Build robust, scalable models using Julia’s cutting-edge libraries.
Algorithmic Trading Strategies – Develop and test high-frequency trading algorithms with real-world applications.
Risk Management & Portfolio Optimization – Apply Monte Carlo simulations, stochastic calculus, and machine learning for risk assessment and portfolio construction.
Performance-Driven Quantitative Research – Leverage Julia’s speed and efficiency to analyze vast datasets, optimize strategies, and gain alpha.
Automated Execution & Market Microstructure – Implement real-time execution algorithms and understand market dynamics at a granular level.
With hands-on examples, code implementations, and industry-tested frameworks, Quantitative Finance with Julia empowers traders and quants to harness Julia’s unparalleled computational power for financial success. Whether you're optimizing trading algorithms or building predictive financial models, this book equips you with the tools and techniques to stay ahead in the evolving world of quantitative finance.
Reactive Publishing 2025
Kindle Edition
Published February 21, 2025
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