read the book

When applied to financial problems, standard machine learning solutions fail to perform as expected --these solutions are false positives. Advances in Financial Machine Learning (Wiley, 2018) is the first comprehensive textbook that addresses this particular subject. It covers the multiple challenges faced by financial researchers, and explains the specific tools needed to find true positives.

Machine learning is transforming many aspects of our society. This is the most exciting time to become familiar with a technology that will change Finance for generations to come.We are applied scientists to the core. Our solutions are innovative, practical and verifiable. We believe that our customers are best served when they understand our research process.

Financial problems require very distinct machine learning solutions. Dr. López de Prado’s book is the first one to characterize what makes standard machine learning tools fail when applied to the field of finance, and the first one to provide practical solutions to unique challenges faced by asset managers. Everyone who wants to understand the future of finance should read this book.
— Prof. Frank Fabozzi, EDHEC Business School. Editor of The Journal of Portfolio Management.
Marcos López de Prado has produced an extremely timely and important book on machine learning. The author’s academic and professional first-rate credentials shine through the pages of this book - indeed, I could think of few, if any, authors better suited to explaining both the theoretical and the practical aspects of this new and (for most) unfamiliar subject. Destined to become a classic in this rapidly burgeoning field.
— Prof. Riccardo Rebonato, EDHEC Business School. Former Global Head of Rates and FX Analytics at PIMCO.

READ THE ARTICLES

For two decades, our researchers have made groundbreaking contributions to financial research. In contrast to the secrecy that pervades the financial industry, we take pride in our openness, and our numerous collaborations with leading academics and research institutions.

Click here to get a list of over 70 books, journal articles, seminars, code, videos and patents authored by our staff scientists.


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CONTACT ME TO LEARN MORE

Jonathan Spring, co-founder and COO

Direct phone: (646) 968-2306

Email: jspring@truepositive.com

 

Jonathan Spring is the co-founder and chief operating officer of True Positive Technologies. Starting in 1995, Jonathan co-founded several revolutionary algorithmic investment firms, includingThe Arbitrage Group (with Bernie Rice), AlphaSimplex Group (with Andrew Lo), Black Mesa Capital (with David DeMers), Entropy Partners (with Bin Li) and True North Partners (with David Dahlberg and Scott Simon). Jonathan studied History of Science at Harvard University and graduated with a B.Sc. from the Massachusetts Institute of Technology in 1979.

 

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You can learn more about True Positive Technologies by completing a Non-Disclosure Agreement, available by submitting the following form. Materials include an independently audited and certified performance track record, professional references, information about portfolio and operational risk mitigation, and client service and reporting.

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