Real-Time Stock Prediction Using Neural Network

Stock price prediction has been a trending yet mystifying topic for a very long time now. The fact that the stock price on short-term are the result of public reaction to rumours and are moreover, associated with public psychology, has made it tricky for the general people to get an insight on the market. This paper presents a method to predict stock prices of companies listed under Nepal Stock Exchange Limited at an interval of every two minutes. The paper describes an approach to comprehend instant public preferences through traded share volume, number of transactions and price fluctuation analysis. The result of these analysis are fed to Neural Network, which then predicts the percentage change in stock price.