Machine Learning Asset Management
"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"
We use our proprietary artificial intelligence based Machine Learning powered system to operate multiple strategies for our clients. 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.
Holdings Info as of November 2015
Top 5 holdings and percentage allocation:
Monster Beverage Corp. 1.39%
Jabil Circuit Inc. 1.37%
ExlService Holdings, Inc. 1.36%
Jack Henry & Associates, Inc. 1.31%
Orbital ATK, Inc. 1.30%
Top 5 countries allocated to:
Using our proprietary machine learning system Rebellion Research runs various other strategies via managed accounts.
We add a short book of 20-30 additional assets to our flagship global equity strategy to create a market neutral Equity Long / Short Strategy for clients seeking low or negative market correlation.
Our Absolute Return Strategy is a low beta, low volatility strategy comprised of 15-20 ETFs. This provides a cash alternative for clients looking to add an anchor of safety to their account.
Additionally we offer a Condensed portfolio of 8-10 stocks hand picked from our flagship global equity strategy by our CEO, Alex Fleiss. He chooses them based on their value factors and his personal research.
via an Interactive Brokers online managed account
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, Chief Investment Officer & Co-Founder B.A., Amherst College
Matthew Goldhirsh Chief Data Scientist M.S., Applied Mathematics, Columbia University
Jeremy Newton Co-Founder, Portfolio Manager,Thiel Capital, B.A. Amherst College
Jonathan Sturges Co-Founder M.B.A., Columbia Business School
Lauren Crossett Strategic Advisor B.A. Fordham University
Robert Pittman Limited Partner M.B.A. Columbia Business School
Wei Zhang Data Scientist B.S.CUNY York College
Spencer Greenberg Co-Founder Ph D. candidate, Machine Learning, NYU
Frank Newman Deputy Secretary, US Treasury Dept., CEO Shenzhen Development Bank
Nomi Ghez, PhD Retired Partner of Goldman Sachs, Board of Overseers NYU Stern
Lorne Weil Past Chairman & CEO, Scientific Games, Board of Overseers, Columbia BS
Robert Raskopf Partner & Head of Copyright Law, Quinn, Emanuel, Urquhardt & Sullivan LLP
Michael Keiser Founder, Bandon Dunes Golf Resort & Recycled Greeting Cards
Tanya Leise, PhD Assistant Math Professor, Amherst College