STOCK PRICE PREDICTION USING LSTM

Abstract

Investing into stocks has become a trend in the new generation and everyone shows keen interest in putting their money and trying their luck into the stock game. But it requires deep analysis and thorough knowledge to get you through the risk and failures. There are multiple platforms which let you invest money into stocks nationally and internationally and with the boom in crypto currency, it has become evident that investments are a good way to earn and give an upper hand over others as far as income parameters are measured. This project aims to predict the price of the selected stock and give useful and near reliable insights so that investor can have an idea of how the stock may perform in the future. This can really help assess the performance of a stock and make calculated decisions. We intend to predict the stock using the LSTM neural network and then provide the user with a dashboard using plotly dash and Tableau for stock analysis. However stock prices are subject to market conditions and may change abruptly depending on multiple factors. Thus the project aims to give supposed prices to the investor on an approximate basis. The future of this project can be made in a mobile based app which plugged in with previous performance of stock data will help users take advantage of the prediction at their hands.