Abstract: The present invention relates to methods and systems for devising and implementing automated artificial neural networks to predict market performance and direction movements of the U.S. Treasury market, mortgage option-adjusted spreads (OAS), interest rate swap spreads, and U.S. Dollar/Mexican Peso exchange rate. The methods and systems of the present invention employ techniques used in actual neural networks naturally occurring in biological organisms to develop artificial neural network models for predicting movements in the financial market that are capable of extracting in a very consistent fashion non-linear relationships among input variables of the models that are readily apparent to the human traders.

Abstract: A method of displaying a high resolution multicolor image on a lower resolution display. The image comprises a plurality of image pixels containing at least first and second image subpixels having first and second colors. The image is displayed on a display having display pixels comprising at least first and second spatially offset display subpixels capable of displaying the first and second colors, respectively. In the method, the first display subpixel is displayed with an intensity which is a function of the intensities of at least two first image subpixels having positions extending over a first region having an area greater than the area of the first display subpixel. The first region is approximately centered on the position of the first display subpixel. A second display subpixel is displayed with an intensity which is a function of the intensities of at least two second image subpixels having positions extending over a second region having an area greater than the area of the second display subpixel.