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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mean-Field Games for Algorithmic Trading and Market Equilibrium: Modeling Interacting Agents and Nash Equilibria in Python with JAX

Mean-Field Games for Algorithmic Trading and Market Equilibrium: Modeling Interacting Agents and Nash Equilibria in Python with JAX

Paperback

Investing & FinanceProgramming

ISBN13: 9798199799546
Publisher: Independently Published
Published: Jun 3 2026
Pages: 364
Weight: 0.97
Height: 0.91 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

Mean-Field Games for Algorithmic Trading and Market Equilibrium explores the application of mean-field game theory to modern financial markets. This book presents a rigorous framework for modeling large populations of interacting agents, price formation, and strategic behavior in high-frequency and algorithmic trading environments.

Also from

Schwartz, Alice

Also in

Investing & Finance