A Smart Mobile Application for Stock Market Analysis, Prediction, and Alerting Users

Abstract

AbstractIn this paper, an efficient Android mobile application for stock market analysis and alert is presented which can be used by the users for accurate and efficient trading in stock market. Stock market prediction is a method using which it is tried to determine or predict the future values of any company’s stocks, or any other financial instruments traded in a financial exchange. The prediction of stock price is significant in any financial field. All investments should be backed by a sturdy research, and the second thing is that time is another essential factor because the stock market is totally the place where you snooze, you lose is true. The aim of this paper is to study the various algorithms such as long short-term memory neural networks and deep learning and reach a solution which gives an accurate prediction so that even the beginners can start trading in the stock market. And once reaching the optimal solution, this paper explores an Android application which can send notifications to the user at the time which is optimal for his investment so that she does not miss out on any opportunities coming her way. In short, utilizing technologies like machine learning in Jupyter Notebook, Google cloud, Android Studio based on Java, and Alpha Vantage application programming interface, the study covers the development of an Android application and finding the optimal algorithm to achieve our objective.KeywordsMobile applicationStock marketPredictionForecastingLSTMDeep learning