The Visualization of Large Database in Stock Market

L. Lin (Australia, PRC), L. Cao, and C. Zhang (Australia)


Large database visualization, Fish-eye view, Local details, Global trends, Dimension reducing


In stock market, foreign currency exchange market, or any other asset trading system, there are high-density data, which is a typical data streams. And the trading rules are often the functions of many variables. The visualization of these systems is very important for users to do analysis and trading. So the problem is how to show the graph of the large data and multiple-variable functions. The usual approaches for visualization of this type of data cannot show us a picture with targeted both local details and global information. In this paper, we show the graph both in details and global trend with fish eye technology. Second, for the result graph, there are many parameters, so we use dynamic dimension selection technology to show the graph.

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