Business intelligence is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. The efficiency of making decisions can increase significantly using business intelligence solutions, by taking advantage of the existing historical or realtime data of the business. Trading in stock markets is imminent with taking risks of losing money, which requires extensive experience in the market, to make efficient decisions. In this paper, we propose a framework that makes use of stock prices historical data, to help investors in making more efficient trading decisions.
Business intelligence is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. The efficiency of making decisions can increase significantly using business intelligence solutions, by taking advantage of the existing historical or realtime data of the business. Trading in stock markets is imminent with taking risks of losing money, which requires extensive experience in the market, to make efficient decisions. In this paper, we propose a framework that makes use of stock prices historical data, to help investors in making more efficient trading decisions.