In the Taiwan stock market, it is increasingly important for investors to do the correct investment. According to the methods of stock investment, it is divided into fundamental, technical and chip analysis. Fundamental analysis which based on the external variables such as macro-economic factors and the internal variables is the fundamental reason for the change of stock price. According to the previous research, there is a considerable degree of volatility relation, and there is a predictable ability to certain extent. Base on the above viewpoints, this study utilized macro-economic factors as the subject of this research. The gearing effect of international stock market is more obvious now. This study utilizes macro-economic factors to explore the specific region, local and global three-tier concept between country and country of volatility relation research. In the past, most of studies utilized financial measurement model to measure. This study explores the correlational analysis between Taiwan stock market and Taiwan, Japan, China and the US macro-economic factors by using association rules in data mining. In this paper, we construct an interactive visualization platform to present the model information, providing a support decision model platform which is more convenient to use for investors, and help investors as a reference for investing in the stock market.