Christopher Cain, CMT, is the U.S. Quantitative Equity Strategist for Bloomberg Intelligence, a division of Bloomberg LP, and is based in New York, NY. Christopher provides analysis and tactical strategy on equity factor investing and other quantitative, model-driven equity market topics.
He is the 2020 Charles H. Dow Award-Winning author of “Quantamentals – Combining Technical and Fundamental Analysis in a Quantitative Framework for Better Investment Results”.
Prior to joining Bloomberg, he was a quantitative analyst focused on building alpha generating trading strategies for institutional investors. He is also a former fixed income market maker, managing a 500MM trading book consisting of cash rates products (US Treasuries, US Agencies and SSA Bonds) and US Interest Rate derivatives.
Christopher is passionate about systematic/quantitative investing, equity factor modeling, trading system design and testing, Python programming and behavioral finance. He holds a bachelor’s of science degree in Finance from The Pennsylvania State University and holds the Chartered Market Technician designation.
