Highlighting Prediction of stock and its price index is always a challenging issue because of presence of uncertainty.
Predicting the problem will give the major solution to the success of choosing the investment. Accuracy and precision is the root
factor in stock market prediction. It utilizes the collected knowledge for predicting the stock market with increased accuracy. The
research focus to provide a solution for stock prediction by optimization, data reduction and reduction in dimension techniques.
This helps to determine the time needed to run the computational process which helps for the quick selection of purchasing of
the stock. The comparison of running time is evaluated by the various algorithms projected in the exertion. Predicting the
movement of stock and price index of stock for the selected Indian based stock market companies, namely CNX Nifty, S&P BSE
Sensex, Infosys, and Reliance are taken for the experimental work. Performance metrics considered are sensitivity, specificity,
precision, rec
