FRAMEWORK FOR STOCK MARKET ANALYSIS USING LDA

Abstract

Stock market is a most widely used purchase scheme promising great returns but
it has some possibility of risks. Anbrilliant 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.