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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applied Causal AI for Algorithmic Trading and Quantitative Strategy Design

Applied Causal AI for Algorithmic Trading and Quantitative Strategy Design

Paperback

Investing & Finance

ISBN13: 9798178409459
Publisher: Independently Published
Published: Oct 2 2026
Pages: 392
Weight: 1.04
Height: 0.97 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

Overcome the limit of traditional machine learning in financial markets by moving from pattern recognition to true cause-and-effect modeling.

Standard statistical and machine learning models excel at detecting correlations in historical market data. However, when market regimes shift, correlation-based strategies frequently break down, leading to catastrophic overfitting and severe drawdown. Applied Causal AI for Algorithmic Trading and Quantitative Strategy Design introduces a rigorous framework for building trading algorithms grounded in structural causal models (SCMs).

Also from

Schwartz, Alice

Also in

Investing & Finance