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612-822-4611
Stochastic Calculus for Modern Quantitative Finance and Algorithmic Trading: Python Implementations, Models, and Real-World Applications

Stochastic Calculus for Modern Quantitative Finance and Algorithmic Trading: Python Implementations, Models, and Real-World Applications

Paperback

Investing & FinanceGeneral MathematicsProgramming

ISBN13: 9798198515994
Publisher: Independently Published
Published: May 25 2026
Pages: 382
Weight: 1.01
Height: 0.95 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

Stochastic Calculus for Modern Quantitative Finance and Algorithmic Trading offers a clear, practical, and rigorous introduction to stochastic calculus tailored specifically for quantitative finance professionals and algorithmic traders.

This book bridges the gap between theoretical stochastic processes and real-world implementation in modern financial markets. Readers will learn how to apply core concepts, such as Itô's lemma, stochastic differential equations, martingales, and Brownian motion, directly to quantitative modeling and trading strategy development.

Also from

Munrow, Danny

Also in

Investing & Finance