Abstract
This paper presents a categorical review of existing literature in the field of share market forecasting. Share market forecasting has been done in econometrics and statistics for quite some time and the emergence of artificial intelligence and data mining are giving new dimensions to it. Data mining is being used in modern day to mine terabytes of data to find new and useful patterns from existing data for the betterment of the society. One of the application of data is to mine the data regarding the stocks in the public domain and help investors formulate a decision. We have conducted an extensive review of existing literature regarding the use of data mining techniques on the domain of share market forecasting and propose a new framework for real time stock price forecasting.
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