Share Price Prediction using Machine Learning Technique

Abstract

Stock Market has started to attract more people from academics and business point of view which has increased. So this paper is mostly based on the approach of predicting the share price using Long Short Term Memory (LSTM) and Recurrent Neural Networks (RNN) to predict the stock price on NSE data using various factors such as current market price, price-earning ratio, base value and some miscellaneous events. We use a numerical data and recommended data for a company selected from collaborative and content based recommendation system. So this paper is all about selecting the company based on the recommendation system using collaborative and content based on selecting a company for the machine learning model based on the LSTM and RNN method. The performance of the model is displayed by comparing the company data and the predicted data using a RNN graph.