StockMarketPrediction Using MultiExpression Programming

Theuseofintelligent systems forstockmarket predictions hasbeenwidely established. Inthis paper, weintro- duceagenetic programming technique (called Multi-Expression Programming) fortheprediction oftwostockindices. The performance isthencompared withanArtificial Neural Network trained using Levenberg-Marquardt algorithm, Support Vector Machine, Takagi-Sugeno Neuro-Fuzzy modelandDifference Boosting NeuralNetwork. We considered Nasdaq-100 indexof NasdaqStock MarketSMandtheS&PCNX NIFTYstock index astestdata.