Applying Data Processing Method for Relationship Discovery in the Stock Market

Abstract

Decision making in the stock market is often made based on current events and the historical data analysis. In addition, related stock trends may affect investors’ future decisions. To extract such relationship between stocks, a proposed methodology applies data processing techniques on raw data collected from the Australian Stock Market, to provide investors another angle of view, comes with initiative potential connections analysis between listed corporations, which is based on pure mathematics computing.