A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniques In The Quantamental Revolution: Factor Investing in the Age of Machine Learning , veteran quantitative investor and strategist, Milind Sharma, delivers a comprehensive discussion of factor investing, risk premia, smart betas, multi-factor models and the deployment of ML ensembles towards monetizing alpha in the hedge fund world. Sharma draws on 30 years of industry and academic experience to bring us up to date on the cutting edge of quantitative factor investing. You’ll learn about the basics of Fama-French and obtain a practical blueprint for taming the factor zoo. This book provides a comprehensive factor investing framework designed to improve your investment process informed by an insightful industry perspective and backed up by 1st hand eye witness stories as narrated by the author. The Quantamental Revolution also includes: A mature and sweeping perspective, simultaneously incorporating industry (insider) insights and academic rigor, not provided by any other reference - Novel research backed by live performance leveraging a huge factor library - A practical reinvention of buy-side equities using a spanning set of factors and ML enhanced smart betas Perfect for early-career quantitative investors and analysts, traders, and market data professionals, The Quantamental Revolution is also an essential read for portfolio managers interested in improving their investment processes. The engaging anecdotal vignettes coupled with academic rigor provide the reader with an authentic front row seat to the evolution of Quantamental investing on Wall Street over the past three decades. How do you navigate the overwhelming “factor zoo” of quantitative investing strategies? Which factors actually deliver alpha, and how do you combine them effectively? As machine learning transforms Wall Street, quantitative investors are being squeezed by increasingly loud demands to deliver returns and a vanishingly small tolerance for error. Understanding which systematic strategies work, when they work, and how to implement them has become essential for all contemporary investors. In The Quantamental Revolution: Factor Investing in the Age of Machine Learning , veteran quant and strategist Milind Sharma delivers a comprehensive guide to modern factor investing informed by three decades of Wall Street experience. Drawing on both industry expertise and academic rigor, Sharma shows readers how to tame the factor zoo through machine learning ensembles and smart beta strategies that actually work. The book provides a practical blueprint for implementing superior multi-factor models, explaining the fundamentals of Fama-French and how to implement cutting-edge ML techniques for monetizing alpha in today’s hedge fund world. The book systematically covers Enhanced Smart Betas, regime-dependent factor behavior, factor timing versus tilting, style analysis, sector rotation, and the integration of alternative data with NLP sentiment. Readers will discover QMIT’s proven methodology backed by over five years of live performance data, including novel approaches to portfolio construction, risk management, and crash protection. The author combines rigorous quantitative frameworks with engaging anecdotal vignettes from his three-decade journey through the evolution of quantamental investing, offering insights not found in academic sources. Perfect for early-career quantitative investors and analysts, traders, market data professionals, and portfolio managers seeking to improve their investment processes, The Quantamental Revolution connects academic finance with practical implementation. A battle-tested framework for generating alpha in the age of AI, the book combines a comprehensive factor library, practical use cases, and real-world implementation details to create an operational manual for quantitative trading. PRAISE FOR THE QUANTAMENTAL REVOLUTION “My former quant has presented a panoramic treatise on the Quant/Quantamental world. A must-read for quants and a useful tool for all investment professionals.” ― Bob Doll, CEO/CIO, Crossmark Global Investments, former CIO of BlackRock, MLIM and Nuveen “In The Quantamental Revolution , Milind Sharma―a pioneer in quantitative investing―offers a compelling framework for how quantitative and fundamental approaches are converging in modern markets. A must-read for professionals seeking to thrive in the data-driven era of investing.” ― Bob Simon, Executive Director of the Master of Science in Computational Finance Program at Carnegie Mellon University “A lively and accessible guide to modern factor and Quantamental investing. Milind Sharma translates the intuition behind quantitative models into real-world application, showing how theory connects with practice for students, practitioners, and portfolio managers.” ― Petter N. Kolm,