The purpose of this project is to investigate the effect of several variables on the prediction of stock prices with emphasis on the analysis of the correlation between stock price and news media. Moreover, prediction of future stock movement using the Convolutional Neural Network model allows the User to choose a company from the S&P 500 and predict the price movement of a company's stock on the next trading move based on current sentiment (Vader) from GoogleNews articles related to such company.