Applications of Computational Intelligence in Data-Driven Trading

An introduction to applications of computational intelligence in finance

Applications of Computational Intelligence in Data-Driven Trading features modern educational content that is at the confluence between data-driven decision-making and computational intelligence.

The book caters to trading and investment professionals interested in the new paradigm of data-driven decision-making, as well as to graduate students who desire to get more familiar with the emerging field of computational intelligence. 

Doloc introduces the reader to the new paradigm of Data-Intensive Computing and its applications in the world of trading and investing. The goal is to promote the use of computational intelligencetechniques, as the vehicle to augment human performance thorough automation and emulate human intelligence via innovation and discovery. Several case studies from the field of data-driven trading and investing are presented.

The author’s two decades of experience as a computational scientist and quantitative practitioner in the financial trading industry endow him with a unique perspective that he conveys to the reader. The financial trading industry is fertile ground for the adoption of advanced technologies, and Doloc walks the reader through two key areas: automation and innovation.