Data mining using integration of clustering and decision tree algorithm has been proposed for predicting the stock market prices. This mechanism involves studying stock price patterns in time by attempting to predict future results of a time-series by simply studying patterns in the time-series of stock prices. This paper is to implement data mining in order to predict the time-series stock prices by integrating clustering and decision tree algorithm. The stock prices are grouped into clusters such that the data are similar to each other within a cluster. These clusters of data are then used to predict the stock prices using decision tree.