Green chemistry experiments are introduced not to drastically replace the conventional ones rather, they are considered complementary to the existing protocols.

This Paper Presents a Computational approach for predicting the BSE stock Exchange data .A Neural Network based model has been used in Predicting the Direction of the movement of the closing value of the Index. The data set encompassed the trading days from 1/7/97 to 24/12/2014 .In this paper ,the model has been validated across 17 years of the trading days.Accuracy of the performance of the neural network is compared with various methods like random forests, GLM, Time Series Analysis. Finally we proved that ANN models are better forrandom forests, GLM, Time Series Analysis