via an Interactive Brokers online managed account available in 75 Countries
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 July 2016
Top 5 holdings and percentage allocation:
Panera Bread 1.21%
Top 5 countries allocated to:
Global Absolute Return & 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 both 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
Matthew Goldhirsh Chief Data Scientist, M.S., Machine Learning & Applied Mathematics, Columbia University
Jeremy Newton Chief Science Officer, Portfolio Manager, Thiel Capital, B.A. Amherst College
Karen Fleiss CAO, Endowment Manager, Barnard College of Columbia University, CEO, KMF Partners LP
Jonathan Sturges Co-Founder, M.B.A., Columbia Business School, B.A. Amherst College
Lauren M. Crossett Strategic Advisor, B.A. Fordham University
Robert Pittman Limited Partner, M.B.A. Columbia Business School, B.A. University of Pennsylvania
Wei Zhang Data Scientist, B.S.CUNY York College
Dr. Spencer Greenberg Co-Founder, PhD., Machine Learning, Courant Instiute of Mathematical Sciences, NYU
M.S., Machine Learning, Columbia University's Fu School of Engineering & Applied Sciences
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
Tanya Leise, PhD. Chair of Mathematics & Stats., Amherst College, Professor of Mathematics & Stats., Amherst College