Parallax Financial Research

Parallax Financial Research, Inc., is a small scientific research boutique in Redmond, WA. The firm empowers professional money managers with a distinct edge through its unique fundamental and quantitative stock and commodity models. Our models are composed of individual "predictors" which are based on the financial application of both chaos and co... mplexity theories, and presented in clear, trustworthy visualizations. These predictors are blended into forecasting models using genetically-enhanced neural networks. Our careful application of these mathematical modeling techniques yields unique and powerful solutions to enhance manager performance. Chaos theory is the scientific theory of non-linear systems. These are systems in which some of the outputs are fed back as new inputs, forming the next set of outputs, and so on. An auction market, is an example of a feedback system. By understanding the theoretical characteristics of these systems, Parallax has been able to build better predictors than has previously been possible. Parallax uses neural networks throughout its products. A neural network is a mathematical tool that can be trained by example. By providing neural networks with historical data, Parallax can dynamically weight the importance of each predictor, so a final buy/hold/sell forecast can be generated in a consistent manner and with scientific objectivity. The president of Parallax, S. Kris Kaufman, has degrees in both physics and math. He spent over 15 years in geophysical research as a senior staff geophysicist and project manager for Halliburton subsidiary Sierra Geophysics. His projects included non-linear inversion modeling, 3-D seismic wave propagation modeling, and writing the first commercial 3-D wave propagation software for the oil industry.Read More