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Praise for The Book of Alternative Data

"Alternative data is one of the hottest topics in the investment management industry today. Whether it is used to forecast global economic growth in real-time, parse the entrails of a company with more granularity than that offered by a quarterly report, or to better understand stock market behavior, alternative data is something that everyone in asset management needs to get to grips with. Alexander Denev and Saeed Amen are able guides to a convoluted subject with many pitfalls, both technical and theoretical, even for those that still think Python is a snake best avoided."
--Robin Wigglesworth, Global Finance Correspondent, Financial Times

"Congratulations to the authors for producing such a timely, comprehensive, and accessible discussion of alternative data. As we move further into the 21st Century, this book will rapidly become the go-to work on the subject."
--David Hand, Senior Research Investigator and Emeritus Professor of Mathematics, Imperial College London

"Over the last decade, Alternative Data has become central to the quest for temporary monopoly of information. Yet, despite its frequent use, little has been written about the end-to-end pipeline necessary to extract value. This book fills the omission, providing not just practical overviews of machine learning methods and data sources, but placing as much importance on data ingestion, preparation, and pre-processing as on the models that map to outcomes. The authors do not consider methodology alone, but also provide insightful case studies, practical examples and highlight the importance of cost-benefit analysis throughout. For value extraction from Alternative Data, they provide informed insights and deep conceptual understanding--crucial if we are to successfully embed such technology at the heart of trading."
--Stephen Roberts, Royal Academy of Engineering and Man Group Professor of Machine Learning, University of Oxford, UK; director, Oxford-Man Institute of Quantitative Finance

"True investment outperformance comes from the triad of data + machine learning + supercomputing. Alexander Denev and Saeed Amen have written the first comprehensive exposition of alternative data, revealing sources of alpha that are not tapped by structured datasets. Asset managers unfamiliar with the contents of this book are not earning the fees they charge to investors."
--Dr. Marcos López de Prado, Professor of Practice, Cornell University; CIO, True Positive Technologies LP

"Alexander and Saeed have written an important book about an important topic. I am involved with alternative data every day, but I still enjoyed the perspectives in the book and learned a lot. I highly recommend it to everybody looking to harness the power of alt data (and avoid the pitfalls!)."
--Jens Nordvig, Founder and CEO, Exante Data

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