Who we are
Rebellion Research is a global machine learning think tank, artificial intelligence financial advisor & hedge fund. Brokerage accounts can be opened in over 70 countries and our research coverage spans over 50 countries. We use a proprietary Machine Learning to make global economic assessments with a 14 year history of outperforming the S&P 500.
Rebellion TV
Join Alexander Fleiss, founder of Rebellion Research, as he interviews entrepreneurs, experts, astronauts, and scientists to pull back the curtain on everything from Nuclear Submarines to the Hubble Space Telescope.
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Research
Rebellion Research bringings you analysis and insights into the technologies and innovations of tomorrow.
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Why Invest?
Rebellion Research’s AI Investing Platform has out performed the SAP 500 for 14 years.
Consistently top markets / competitors
Consistently top markets / competitors
Trusted Team
Trusted Team
Global economic and fundamental analysis
Global economic and fundamental analysis
Tailored, systematic strategies
Tailored, systematic strategies
Forefront of AI investing
Forefront of AI investing
Highly Tax Efficient
Highly Tax Efficient
Low Risk
Low Risk
Low flat fees
Low flat fees
Our AI
Artificial intelligence and machine learning have become a very powerful decision-making tool. Machine learning algorithms really start to shine when the problem offers a large amount of data from which to learn. Rebellion Research’s Machine learning algorithms have shown a tremendous ability to take these large data sets and accurately combine them with different factors to create global economic predictions–often better than even a team of financial & economic experts. So here is the question: Why aren’t AI investment strategies used more often in investing?
After all, the financial markets offer a bewildering array of information, from prices for each tick, options chain prices, to fundamental information about companies and securities, etc. In addition, all this data goes back decades. With these complexities, it seems impossible that we humans are truly taking into account all the relevant information when they make decisions. Instead, this should be an area where machine learning algorithms (can) really shine.
Unfortunately, replicating Rebellion Research’s success at global economic predictions has met a few hurdles along the way.
Investment Process
Challenges of AI Investing
It turns out that when trying to apply machine learning to longer-term investments, a number of challenges begin to arise. Rebellion Research took almost 4 years to complete the build-out of our first alpha-generating machine learning algorithm.
System Constantly Evolving
First, the financial system is constantly changing and evolving, and it does not change smoothly. In 1990, Australia had very little exposure to China, while today it moves on China’s industrial output numbers. Similarly, Apple in 2021 is not the same company as it was in 2000 or even in 2010.
Market Conditions Constantly Changing
Daily volatilities of stocks undergo rapid shifts every day. If you are trying to make predictions using historical data, you have to take into account that the past market that you are using is not the same as the current one. It is similar, but certainly not the same. So Rebellion Research had to create a process to weigh current economic and market data vs historical data. How much is 2012’s data worth vs that of 2008 or 2015? These are tough questions for any machine learning programs.
Meaning of Factors changes over time
It is even hard to find factors to base decisions on that are not changing. Apple has changed significantly from what it was 10 years ago. Back then, each dollar of revenue, and each dollar of profit that Apple made came from its computer sales. Now, of course, the majority of those profits and revenues are from the sales of phones and services.
Meet the founder
RebellionResearch.com’s CEO Alexander Fleiss has spoken about Artificial Intelligence Investing in the Wall Street Journal, New York Times, Fox News, BusinessWeek, Bloomberg News, MIT Technology Review, Yomiuri Shimbun, Wired, CNBC, Geo Magazine, The Economist and Institutional Investor. Chapter 24 of Wall Street Journal Reporter Scott Patterson’s book Dark Pools is on Mr. Fleiss.
Alexander Fleiss | Chairman and Chief Investment Officer of Rebellion Research Partners
Our Team
Following experts contribute to our success!
Alexander Fleiss
CEO - Chairman & Co-Founder
B.A., Amherst College
Han Cui
Director of Machine Learning
MS in Applied Mathematics, Columbia University
Jeremy Newton
Chief Science Officer
Co-Founder, Co-Inventor of Machine Learning, Portfolio Manager, Thiel Capital, B.A. Amherst College
Dr. Spencer Greenberg
Co-Inventor of Machine Learning
PhD., Machine Learning, Courant Institute of Mathematical Sciences, NYU, M.S., Applied Mathematics Columbia University Fu School of Engineering
Jen Konde
Special Strategic Advisor
Head of Customer Experience Center, Google Cloud NYC at Google, COO, New York Food Truck Association, Global Field Operations, Andreessen Horowitz, B.A. New York University
Karen Fleiss
Vice Chair
Chief Administrative Officer, Endowment Manager, Barnard College of Columbia University, CEO, KMF Partners LP, M.B.A., Columbia Business School, B.A. Barnard College
Lauren Crossett
Marketing & Strategic Decisions Advisor
B.A., Fordham University, Director of Business Development, Quovo, B.A., Fordham University
Jonathan Sturges
Chief Business Officer
M.B.A., Columbia Business School, B.A. Amherst College, Reservoir Media, Warner Music Group
Harold Moss
Advisor Board
Akamai Technologies Senior Director of Security Strategy and CTO of IBM's Cloud Security Strategy, Lead Security Architect, IBM Watson, National Security Institute Visiting Fellow
Charmel Maynard
Advisory Board
UMiami Treasurer & CIO, VP JPMorgan, BA, Amherst College
Dr. Nomi Ghez
Goldman Sachs Partner
Board Member, Stern NYU, Board Member , Tel Aviv University
Frank Newman
Advisory Board
Deputy Secretary, US Treasury Dept., CFO Bank of America, CEO Bankers Trust, CEO Shenzhen Development Bank, BA Harvard College
Jared Banner
Advisory Board
Chicago Cubs, Head of Farm System, New York Mets, Vice President of Player Personnel, Boston Red Sox, BA, Amherst College
Dr. Linda Kreitzman
Assistant Dean of Berkeley Haas
Nick Kolegraff
Advisory Board
Head of Ai & Machine Learning Clear Capital, Chief Data Scientist of Rackspace, Principal Data Scientist at Accenture, BA & BS, University of Iowa
Professor X. Frank Zhang
Advisory Board
Professor of Accounting at Yale University School of Management, MBA & PHD University of Chicago
Danielle Schiffman
Advisory Board
Head of Business & Legal Affairs, Lincoln Center for the Performing Arts, BA Georgetown, JD Georgetown Law School
Professor Logan Beirne
Advisory Board
Professor at Yale University Law School, CEO of Matterhorn Transactions, Sullivan & Cromwell, BS Fairfield University, Fulbright Scholar, JD Yale Law School
Michael Keiser
Bandon Dunes Golf Course
Founder, Cabot Golf Course, Founder, Sand Valley Golf Course, Founder
John Dailey
Advisory Board
CFA, Investment Officer, Amherst College Endowment, Senior Investment Officer, Boston College Endowment, B.S. in Finance, M.B.A. & M.S.F, Boston College
Lorne Weil
Advisory Board
Past Chairman & CEO, Scientific Games, Board of Overseers, Columbia Business School, BA Columbia University, MBA Columbia Business School
Dr. Ololade Fatunmbi
Advisory Board
Chief Strategy Officer of Separation Methods Technologies
Daniel DiPietro
Quantitative Analyst
ictoria Averbukh
Cornell Engineering
Michael Ding
Editor
Gihyen Eom
Quantitative Analyst
Editor
Calvin Ma
Quantitative Analyst
Editor
Jules Hirschkorn
Security
Editor
Paul Marrinan
Financial Crimes
Editor
Jeremy Knopp
Air Force Office of Scientific Research
Editor
