About the Presenter

Dr. Vincent Granville has earned his Ph.D. in statistics at the University of Namur, Belgium, and was subsequently appointed as a Research Fellow at Cambridge University and University of North Carolina at Chapel Hill. Over the last seven years, Dr. Granville has worked on business intelligence consulting projects in various industries, including with Visa, GE's auditing team, Millenium Partners (Hedge Fund), Wells Fargo and William Wecker Associates. Vincent is also founder and strategy architect at Data Shaping Solutions.

Trading Seminars Data Shaping organizes seminars on proprietary stock trading strategies for finance professionals, Hedge Fund managers, executives, strategy architects and traders who want to understand and apply advanced technical concepts to build a real-life, highly successful statistical trading system. We cover such topics as Trading QQQQ: long term efficient strategies for the lazy trader Automated stock picking strategies Blending long and short term strategies on a same stock Designing robust strategies Assessing strategy efficiency using appropriate metrics Over-parametrization and other trading pitfalls Non parametric models, decision trees Optimizing trading frequency Combining fondamental and technical analysis to boost performance Designing automated trading signals Efficiently processing large amounts of historical data Qata quality issues Variable and parameter selection Smart use of the S&P 500 or QQQQ index Enhancing a strategy to attenuate oscillations No prior statistical knowledge is required, since the advanced concepts are presented in simple English. Technical details are provided in the accompanying notes. Participants will receive software with instructions and source code to start developing their strategies during the training sessions. We process all the S&P 500 stocks during the training session, to design robust stock picking and buy/sell signals. Registration includes the software license. The number of participants is limited.

Statistical Seminars We also offer seminars on computational statistics, robust models, statistical graphics and data mining. Our focus is on ad-hoc methodologies to solve problems that are difficult to handle with traditional packages such as SAS. In all our seminars we present efficient solutions to complex real life business problems in finance, marketing and risk management.