Deep Nexus applies advanced statistical methods to financial market data, generating a probability distribution for seemingly random markets. Our proprietary analytics deliver a predictive edge allowing us to trade any liquid market based on the probabilities while maximizing returns and minimizing risk.
Kevin has over 20 years of experience in financial markets while holding Series 7, 63, and 66 securities licenses. His trading experience includes stocks, bonds, options, futures, and currencies. In the 1990s, he began researching how to apply machine learning to financial markets. At Deep Nexus, he has been responsible for the development and coding of proprietary deep learning algorithmic trading models. Kevin studied economics and international relations and received his BA from Columbia University.
Deep Nexus is a multi-disciplinary collaboration among physicists, mathematicians, electrical engineers, computer scientists, and experts in algorithmic trading. The team employs the scientific method in the development and use of emerging technologies for the quantitative analysis of time-series data.
Deep Nexus LLC
315 Madison Avenue, Suite 4046
New York, NY 10017
Copyright © 2018-2021
Deep Nexus LLC.
All Rights Reserved.
DISCLAIMER
The Company does not solicit nor make any services available to the general public. None of the information or analyses presented are intended to form the basis for any investment decision, and no specific recommendations are intended. This presentation does not constitute investment advice or counsel or solicitation for investment in any security. The Company expressly disclaims any and all responsibility for any direct or consequential loss or damage of any kind whatsoever arising directly or indirectly from: (i) reliance on any information contained in this presentation, (ii) any error, omission or inaccuracy in any such information or (iii) any action resulting therefrom.