EXTENSIVE FRAMEWORK FOR STOCK MARKET ANALYSIS

Abstract

Stock market is a most widely used purchase scheme promising great returns but it has some possibility of risks. An brilliant stock prediction models would be mandatory. There are so many techniques are available for the prediction of the stock market value. Some are: Data Mining, Neural Network (NN), Neuro Fuzzy system, Hidden Markov Model (HMM) etc. We outline design of the Neural Network model with its customizable parameters and salient features. A number of functions for activation are implemented along with multiple options for cross validation sets.