Deep Nexus has built propriety machine learning systems for analyzing time-series data and generating predictive analytics. By capitalizing on advancements in both hardware and software technology, patterns and anomalies can be detected in global data streams on an unprecedented scale. Coupled with algorithmic trading, Deep Nexus predictive analytics offer a uniquely profitable approach to financial markets.
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
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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.