A stock’s future price could be predicted in a multitude of methods. Two popular pieces of data that analysts examine are stock prices and stock news. Based on information of a stock’s historical price, an analyst can conduct a time series analysis and build a predictive regression model to forecast for the future.

This project uses quantitative measures (such as historical stock prices) to build a predictive model on SAS. SAS is one of the most recognized data mining tool, and does a good job in performing Time Series Analysis.