Douglas Capital Management, LLC

History 

The seed for Douglas Capital Management was planted in 1996, when the founder, Brett Douglas, read several publications describing simple stock selection techniques that had significantly outperformed the broad stock market indices.  Brett began research into applying detection and estimation theory to predict the future returns of common stocks.  He has refined and improved his prediction methods since 1996.

Investment Approach 

DCM regularly downloads fundamental and technical data for approximately 3700 common stocks and 1400 ETFs from a number of different data sources.  The fundamental and technical data are fed into proprietary performance predictors to predict the future return for each stock and ETF.  DCM uses the performance predictions to make buy and sell decisions for each client's portfolio. DCM typically buys a stock or ETF when its expected return is near the top for all stocks or ETF in the universe, then holds that stock or ETF as long as its expected return is in the top few percentiles for all stocks in the universe.

Founder

Brett L. Douglas is the Founder of DCM.  He is responsible for the overall strategy of the company, stock selection, trading strategies, and day-to-day operations.  Brett has five years of academic research experience and fourteen years of research and development experience in the defense and communications industry. His work has resulted in 18 patents granted, with many more patent filings going through the review process. Brett has managed research and development teams at Cisco Systems, Inc. and Applied Signal Technology. He completed B.S, M.S, and Ph.D. degrees in electrical engineering, all from the University of Illinois at Urbana-Champaign.  Brett passed the Series 65 exam. Brett has been an independent trader focused on trading domestic and foreign stocks since 1996, shortly after he began his research on methods for stock performance prediction. He has delivered outstanding performance by applying detection and estimation theory to the problem of selecting stocks and ETFs with the highest expected returns.