Grab Your Yield on Stock Market Using Sentimental Analysis and LSTM using ARNN

Abstract

Stock market refers to an auction. Investors who can buy and sell shares of corporate stocks. The values of stock are very complex to predict. Moreover, accurate prediction of stock is greatly difficult task till now so that the stock price of a company depends on various parameters such as fame of the company and other sudden non-predictable events that may cause neural disasters etc. In our project we are predicting the stock with the help of Machine Learning and Artificial Recurrent Neural Network approach. In this we are having two approaches to predict the values of stock. First one is Advanced Long Short-Term Memory (LSTM) approach and second one Sentimental Analysis approach. Sentimental Analysis uses Twitter API to predict the values of stock. By above problem understanding, this product is developed to provide the accurate values of stock rather then giving the irrelevant stock values.