DefinePK

Abstract

Stock market is a place where the companies mobilize money from the people to run their business and in turn benefit people in terms with dividend and profit. Stock market has been an aggregation of both buyers and sellers. As the stock market value increases, the market capital of corresponding firm increases and thus benefiting the investors. Sometimes there may be a chance of downfall in their business which will cause the investors to lose their investment. If the company is not running successfully, the stock price may go down. The reason for investing in the stock market is to earn more profit in a short period of time. Plenty number of stock market shares are available in the existing market. People always find difficulty in choosing a right company shares for their investment. It’s a right time for us to make some big analytics, to guide the investors on where to invest their hard earned money. For analysis, umpteen numbers of methodologies are available at our disposal. Two of the methodologies like K-Medoids (Crisp) and Fuzzy K- Means (Soft Computing Techniques) are employed for market analysis. We propose ‘BAR Model architecture’ for stock market analysis using three layered segments where acronym BAR refers to Budget, Analysis and Result. Budgeting is an entry level to identify the class in the data set. On applying distributed measures on a given data set we get what is called as Budget. After applying the above said methodologies what we get is called Actuals. Both Budget and Actual were compared for variance using Chi-square and ANOVA Test. As the variance we get is very minimal it proves that either methodology is not needed for this kind of application. We come to the conclusion through this paper that the Budget proves to be right. Purity levels of the attributes were measured through Gini Index. This innovative approach will lead us to achieve Predictive Accuracy and Reliability. For the past one decade, this kind of mammoth data collection and analysis have never been reported which has been accomplished in this paper.