Abstract: The development of a dynamic application for analysing and predicting stock market prices is a basic tool aimed at accelerating the rate of investors’ interest in stock market .The development and implementation of a stock price prediction is explained in this project and for this purpose regression algorithm and object oriented approach of software development is used. In most of the economies trading in shares is big business. From the information gathered from their website, it appears that the stock brokers do not have any intelligent tool which can help them advice their clients on which stocks are proper for them to buy or sell. The prevailing methods show a trend on future movement of stocks and not the likely price for any stock in the future. It is therefore preferable to have a tool that does not just point a direction towards price movement, but also indicates the most likely price of the stock itself.
Keywords: Data mining, Regression, Prediction, Coefficient of correlation, Training set, Testing set.