Predicting the stock Price is a challenging task. With an increase in data collection through the internet, data scientists try to extract valid data points for the prediction. However, these data points are one way affecting the stock market. Therefore the prediction for stock market index movements, we use real-time tweets from the twitter using their API and sentiment analysis to predict the stock market moments by correlating them with the Existing data set used to train a recursive neural network model Evaluations on the data from the year 2004 to present upon Bombay stock exchange to demonstrate our model. Hence making the predictions almost accurate.