Machine Learning Investing
"Rebellion's A.I. technology has the ability to learn from its past predictions to become more efficient"
"Math and computer whizzes"
"Rebellion has a solid track record"
"Very intelligent investment plays"
"The approach of tech companies like Google and Netflix"
"Rebellion Research is both an investment advisory and financial technology firm"
Machine Learning Investing:
Investing for the
See our A.I. Investment Performance
Seeking History's Lessons
Our Machine Learning reviews our 20 year historical database on 53 countries daily
Learn more about choosing an A.I. powered financial advisor
A separately managed account is a portfolio of individual securities managed on your behalf by a professional asset management firm. You own the individual securities & the account, which can provide the ownership, control, and transparency you deserve. You'll have a clear view of the individual securities you own, plus ready access to account details and trade information. We offer broadly diversified portfolios with competitive fees and minimums as low as $25,000. We’ll work with you to find the managed account that fits your needs.
We use our proprietary artificial intelligence based Machine Learning to monitor the 54 countries on a daily basis and incorporate that with 20 years of historical information. Our technology was once available only to very high net worth investors through our hedge fund, but is now offered to you through managed brokerage accounts at Interactive Brokers.
A.I. Global Equity Strategy
Rebellion's Artificial Intelligence-based Global Equity strategy has been managing money for partners and clients live since 2007. This strategy is run in Rebellion Research Partners, L.P. our Hedge Fund as well as in managed accounts.
Fees of 1.25% Annually
Holdings Info as of July 2017
Top 5 holdings and percentage allocation:
Align Technology 1.23%
Vertex Pharmaceuticals 1.22%
Intuitive Surgical 1.21%
Westlake Chemical 1.18%
Coca Cola Europe 1.17%
Top 5 countries allocated to:
A.I. Global Absolute Return &
A.I. Global Fixed Income
Using our proprietary machine learning system Rebellion Research runs various other strategies via managed accounts.
Our Absolute Return Strategy is a 0 beta, low volatility strategy comprised of 15-20 ETFs. Providing a cash alternative for clients looking to add an anchor of safety to their account and who seek low or negative market correlation.
Additionally we offer a US Bond Strategy & US Treasuries Strategy consisting of low-cost ETF's.
Fees of 0.70% Annually
We are at the forefront of bringing Machine Learning and Artificial Intelligence based asset management to investors.
As a Registered Investment Advisor we manage investments in a wide range of assets across the globe.
Our technology allows us to process an extremely diverse set of information, basing its analysis on many hand selected, macro, fundamental, technical and more traditional factors like growth, value, momentum, etc. The A.I. uses its performance predictions along with knowledge of the volatility and interrelationships among stocks to create a portfolio that balances risk and expected return. This analysis, which typically defies even the largest team of analysts, is performed with scientific rigor transcending the pitfalls of human emotion. Bayesian statistics serve as the backbone of our artificial intelligence-based investment software. It provides a flexible framework that enables us to automatically integrate the new data available each day with prior market knowledge in order to predict stock performance.
Alexander Fleiss CEO, Chairman & Co-Founder, B.A., Amherst College
Jeremy Newton Director of Machine Learning Research, Co-Founder, Co-Inventor of Machine Learning, Portfolio Manager, Thiel Capital, B.A. Amherst College
Dr. Spencer Greenberg Co-Founder, Co-Inventor of Machine Learning, PhD., Machine Learning, Courant Institute of Mathematical Sciences, NYU, M.S., Applied Mathematics Columbia University Fu School of Engineering
Han Cui Director of Machine Learning Research, M.S., Machine Learning, Columbia University
Matthew Goldhirsh Co-Director of Machine Learning Engineer, M.S., Machine Learning & Applied Mathematics, Columbia University, B.A. Cornell University
Karen Fleiss, CFA, Vice-Chairman, Chief Administrative Officer, Endowment Manager, Barnard College of Columbia University, CEO, KMF Partners LP, M.B.A., Columbia Business School, B.A. Barnard College
Jonathan Sturges CBOE, Co-Founder, M.B.A., Columbia Business School, B.A. Amherst College
Lauren M. Crossett Strategic Advisor, B.A. Fordham University
Robert Pittman Marketing, Managing Director, Wynn Resorts Limited, M.B.A. Columbia Business School, B.A. University of Pennsylvania
Wei Zhang Data Scientist & Machine Learning Engineer, B.S.CUNY York College, Manager of Yahoo Inc Data Science
Matthew Goldhirsh Machine Learning Engineer, M.S., Machine Learning & Applied Mathematics, Columbia University, B.A. Cornell University
Frank Newman Deputy Secretary, US Treasury Dept., CEO Shenzhen Development Bank
Nomi Ghez, PhD., Retired Partner of Goldman Sachs, Board of Overseers NYU Stern Business School
Lorne Weil Past Chairman & CEO, Scientific Games, Board of Overseers, Columbia Business School
Robert Raskopf Partner & Head of Copyright Law, Quinn, Emanuel, Urquhardt & Sullivan LLP
Michael Keiser Founder, Bandon Dunes Golf Resort & Recycled Greeting Cards, B.A. Amherst College
X. Frank Zhang, PhD., Professor of Accounting at Yale University School of Management
John Dailey, CFA, Investment Officer, Amherst College Endowment, Senior Investment Officer, Boston College Endowment, B.S. in Finance, M.B.A. & M.S.F, Boston College
Lin William Cong, PhD., Assistant Professor of Finance, Booth School of Business, University of Chicago, PhD. & M.S., Information Statistics, Stanford University
Blogs & Books on Machine Learning Investing
Recommend reading to learn more about Artificial Intelligence & Machine Learning
Profiles of Rebellion Research & Ai Investing