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Who We Are

Jean-Marc Guillard, Ph.D.
Jean-Marc Guillard has worked 25 years in the software industry most recently as CEO and president of Spatial Corp., a subsidiary of Dassault Systèmes. Dr. Guillard has a doctorate in mathematics from l'Université Pierre et Marie Curie (Paris VI). 

Michael Allan Stafne
Mike Stafne has worked in a variety of engineering, management and software positions in Germany, Belgium, Switzerland and the United States over the past 25 years. Mr. Stafne has an MBA from Cornell University as well as degrees in mechanical engineering.

Our Story

STATS4TRADE began as a personal project by Jean-Marc Guillard several years ago. Jean-Marc did not want to soley rely on subjective information – say from the internet or advice from colleagues and friends – to make active trading decisions. For example when is the optimum time to buy or sell a security? Moreover he wanted to avoid only relying on passive strategies (particulary in Europe where indices have been stagnant and even declined over the past years), while minimizing risk and saving fees.

As a result Jean-Marc developed applications that integrate modern machine-learning methods in a cloud-computing environment to objectively make buy/sell decisions for a wide-range of securities in the context of active investment strategies.

Now that the applications are mature enough, Jean-Marc, Mike Stafne and their fellow colleagues are helping to make forecast data and investment frameworks from STATS4TRADE available to fund managers while using the same applications for their own trading purposes.

We Are Just Getting Started!

We are based both in the United States and France and our French-American team has only just begun. In the meantime stay tuned to the Performance page for daily Dow Jones 30, NASDAQ 100, Euro Stoxx 50, CAC 40 and DAX 30 forecasts as well as our Media page for interesting articles and Blog page with information about using our data, statistics, finance and other subjects. And please feel free to contact us anytime with questions, feedback or just to chat.

Technology Advisor

Christine Keribin, Ph.D., serves as a technology advisor for statistical theory and machine-learning methods. Dr. Keribin is presently an assistant professor of statistics in the mathematics department at l'Université Paris-Sud (Paris XI).