MarketPsych LLC is a leader in behavioral finance research and consulting, integrating the competitive advantages derived from behavioral economics into products and trainings for the world's largest investment banks, hedge funds and brokerages. Over the past eight years the MarketPsych team developed proprietary text analysis software that identifies and quantifies economically predictive sentiments such as optimism and pessimism, tones such as uncertainty or surprise. We help our clients see inside the mind of the market.
Richard Peterson, M.D.
Dr. Peterson is Managing Director and a behavioral finance expert, investment adviser, psychiatrist, and a consultant to the financial industry with clients including Goldman Sachs, Morgan Stanley Smith Barney, and Merrill Lynch Global Wealth. He is an associate editor of the Journal of Behavioral Finance, and has published widely in academic journals and textbooks. His book "Inside the Investor's Brain" (Wiley, 2007) was reviewed as "outstanding" in Barrons. Dr. Peterson was portfolio manager of the MarketPsy Long-Short Fund LP - a successful market-neutral hedge fund (audited) - from 2008 through 2010. Dr. Peterson received BA, BS (Electrical Engineering), and M.D. degrees cum laude from the University of Texas. He performed post-doctoral neuroeconomics research at Stanford University, and is Board-certified in psychiatry
Thomas Hartman
Mr. Hartman is Chief Technology Officer. He previously created trading software for an algorithmic trading desk at Deutsche Bank and worked on software for Chase Bank. At Marketpsych Mr. Hartman manages a team of computer scientists including specialists in natural language processing, sentiment mining, machine learning, high-performance computing, and econometrics, and graduate student interns from USC and Claremont Graduate University. Mr. Hartman graduated cum laude from Columbia University.
Aleksander Fafula, Ph.D.
Aleksander Fafula is the Chief Data Scientist at MarketPsych Data. He holds diplomas in Informatics and Econometrics, and has a Ph.D. in Finance. For more than twelve years he has worked on distributed mission critical systems related to data security and the financial markets. He is the author of a methodology to detect human cognitive biases in stock price activity, which is the basis of an experimental stock trading system simulator. In his dissertation he developed the world's first hybrid behavioural stock market indicators. Dr. Fafula has developed applications in cloud computing, data mining (decision trees, clustering, visualisation, regression, association), time series modelling, and artificial intelligence.