Stock Market Prediction Analysis using Machine Learning

Abstract

In Stock Market Prediction, the aim is to predict the future value of the financial stocks of a company. Machine learning based predictions are very popular now these days which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning employs different models to make prediction easier and authentic. This paper focuses on the use of Long Short-Term Memory (LSTM) based Machine learning to predict stock values. Factors considered for accurate prediction are open, close, low, high and volume.