Data mining of Indian stock market from April, 2015 to March, 2016 using curve fitting technique

Abstract

The foundation of today’s world is knowledge. Every single event generates some amount of data and by analyzing these vast amounts of data a lot of useful information can be obtained which may lead us to knowledge discovery. Data analysis is an essential step of knowledge discovery. The stock market generates a huge amount of data and by analyzing these data huge amount of useful information can be collected. This paper analyzed the S&P BSE SENSEX data from April, 2015 to March, 2016 to identify the pattern or tend of the S&P BSE SENSEX during this time period by using curve fitting technique. In this paper we have observed that the Compound, Growth and Exponential curves best fit the data i.e. S&P BSE SENSEX versus time during April, 2015 to March, 2016.