A visual analytics system for financial time-series data

  • Authors:
  • Su Te Lei;Kang Zhang

  • Affiliations:
  • The University of Texas at Dallas, Richardson, TX;The University of Texas at Dallas, Richardson, TX

  • Venue:
  • Proceedings of the 3rd International Symposium on Visual Information Communication
  • Year:
  • 2010

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Abstract

Analyzing financial time series data is challenging due to the volatility of stock market. We advocate using visual approaches to market data analysis. We present a visual analytics system that enables individual investors to analyze stock market by giving them a holistic view on the market data. This paper discusses the drawbacks of current visual charts and describes the core visual techniques used in our system.