Our Mission

The investment landscape is evolving. We believe that you deserve to have access to the advanced tools already being used by the pros on Wall Street.

Our mission is to give you access to the most cutting-edge technology available today. With a platform that seamlessly integrates finance with deep learning and AI, StocksRank aims to evolve the financial services industry for all investors.

“The best way to predict the future is to invent it.” - Alan Kay

We’ve assembled a world-class engineering team to research and build our platform. Our engineers come from backgrounds of AI, machine learning, data mining, quantitative financial analysis, with decades of professional working experience.

Our Team

Alex Lu

Founder & CEO

Alex Lu has over 17 years of experience in deep learning, artificial intelligence, and big data technology. Before launching StocksRank, Alex served as the CTO at one of China’s largest financial information provider, was an Engineering Director at Baidu, a VP of Search Technology at SNDA, a Principal Program Manager at Microsoft, and a senior engineer at Google. He graduated from Tsinghua University, has a Master’s in Computer Science from University of Maryland, and a MBA from Columbia Business School.

Barry Bernstein

Chief Compliance Officer / COO

Barry Bernstein has over 15 years of international financial services experience. Barry was previously Chief Operating Officer and Chief Compliance Officer of AlgoPartners. Prior to this, Barry was at Neonet, a financial services and technology firm that was recently purchased by Knight Capital Group. His positions over the years included President, Chief Compliance Officer, Chief Operating Officer and Head of Technology. During his career, Barry earned the "Top Fifty Growth Company" award and rang the Nasdaq Stock Market opening bell.

Tim Leung

Quant Researcher

Tim Leung is an Applied Math Professor, Computational Finance Program Director at University of Washington, and has over 14 years of experience in Quantitative Finance and Algorithmic Trading. Previously, his research has been funded by industry and the National Science Foundation (NSF), and published in dozens of journal articles. He has written two books on, respectively, Optimal Mean Reversion Trading and ETFs. He has served as the Chair for the Institute for Operations Research and Management Sciences (INFORMS) Finance Section. He obtained his BS from Cornell University and PhD from Princeton University.

Our Offices

  • Seattle

  • Beijing

  • New York

  • Shanghai

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