Cris Doloc - Applications of Computational Intelligence in Data-Driven Trading

1. Chapter 1
2. Chapter 2
3. Chapter 3
4. Chapter 4
5. Chapter 5
6. Chapter 6
7. Chapter 7
8. Chapter 8
9. Chapter 11
10. Chapter 12

Doloc's book is a masterfully written and essential handbook for anyone involved in utilizing data to gain insights into their respective industries. With intellectual honesty, Doloc separates hype from reality, skillfully and intricately weaving a framework to harness the advances and recent developments in quantitative and computational finance. He challenges readers to adopt the best approaches for their applications, knowing the potential but also the limitations, and wisely problem solve. The author may have expertly designed this book for the trading community, but the takeaways are industry agnostic. A must-read for any academic or practitioner in data science, machine learning, and AI fields.

Rob Friesen, president & COO, Bright Trading, LLC; CEO & Director of Education, StockOdds, Inc.

Cris Doloc's book is a great introduction to a fascinating field of Computational Intelligence and its applications to quantitative finance. Through examples and case studies covering a wide range of problems arising in quantitative finance from market making to derivative valuation and portfolio management the author demonstrates how to apply complex theoretical frameworks to solving practical problems. Using a sequence of case studies, Doloc shows quantitative researchers and practitioners the power of emerging Computational Intelligence and machine learning technologies to build intelligent solutions for quantitative finance.

Yuri Burlakov, Ph.D., head of Proprietary Research, Volant Trading

Cris Doloc has created a valuable guide to Computational Intelligence and the application of these technologies to real-world problems. This book establishes a firm foundation to update the Financial Mathematics program curriculum and practitioners in this domain by presenting a systematic, contemporary development of data-intensive computation applied to financial market trading and investing. Using a sequence of case studies, Doloc shows quantitative researchers and practitioners the power of emerging Computational Intelligence and machine learning technologies to build intelligent solutions for quantitative finance.

Jeff Blaschak, Ph.D., data scientist and co-founder, Social Media Analytics, Inc.

Cris Doloc has written a book that is more than just a solid introduction to the current state of the art in AI for quants; it is a solid introduction in how to think about AI for quants. In a field that is changing daily, the focus on application of techniques and critical thinking about the strengths and weaknesses of different approaches rather than on details of the latest tools makes time spent with this book a good investment in the future. The case studies in particular help ground the material in the real world of quantitative finance and provide powerful examples of the informed application of AI to finance.

John Ashley, Ph.D., director of Global Professional Services, Nvidia

Doloc's book masterfully distills the complex world of quantitative trading into a clear guide that's an ideal starting point for new, would-be quants. It provides so many fresh insights into the space that even more seasoned practitioners can learn from it.

James L. Koutoulas, Esq., CEO, Typhon Capital Management

Through a series of case studies, Doloc illustrates a number of examples of real-world problems designed to prepare the reader to work in the contemporary world of quantitative finance. I recommend this book to students of financial engineering and quantitative finance, and to all quantitatively oriented participants in all areas of finance.

Ilya Talman, president, Roy Talman & Associates, Inc.

CRIS DOLOC

Copyright 2020 by Cris Doloc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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Library of Congress Cataloging-in-Publication Data is Available:

ISBN 978-1-119-55050-1 (hardback)

ISBN 978-1-119-55052-5 (ePDF)

ISBN 978-1-119-55051-8 (ePub)

Cover Design: Wiley

Cover Images: metamorworks/iStock.com, BiksuTong/Shutterstock, AVIcon/Shutterstock, Classica2/Shutterstock

Dedicated to the memory of my father, Emil

Cris Doloc holds a PhD in Computational Physics and worked for more than two decades at the intersection of Quantitative and Computational Finance. He is an accomplished technology leader, who designed and led the implementation of several firm-wide trading, valuation, and risk systems. Cris's expertise extends from enterprise software architecture to High Performance Computing and Quantitative Trading.

Cris is currently teaching at the University of Chicago in the Financial Mathematics program, and is the founder of FintelligeX, a technology platform designed to promote quantitatively data-driven education. He is very passionate about the opportunities that recent developments in Cognitive Computing and Computational Intelligence could bring to the field of Quantitative and Computational Finance.