Interacting with Stock Market Data in a Virtual Environment
Virtual Environment technology enables new styles of user interfaces that provide multi-sensory interactions. For example, interfaces can be designed which immerse the user in a 3D space and provide multi-sensory feedback. Many information spaces are multivariate, large and abstract in nature. It has been a goal of Virtual Environments to widen the human to computer bandwidth and so assist in the interpretation of these spaces by providing models that allow the user to interact ’naturally’. One goal for this interaction may be to uncover useful patterns within the data. This paper describes a Virtual Environment system called the “Workbench” and explains three models of stock market data that have been developed for this environment. The aim of this work is to provide models that allow analysts to explore for new trading patterns in the stock market data. Some early results of this work are discussed.
KeywordsVirtual Environment Financial Instrument Closing Price Trading Opportunity Stock Market Data
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- 1.Durlach, N.I., Mavor, A.S. Virtual Reality. Scientific and Technological Challenges. National Academy Press, Washington, DC. 1996.Google Scholar
- 2.Stuart, R. The Design of Virtual Environments. McGraw-Hill, New York. 1996. ISBN 0-07-063299-5Google Scholar
- 3.Krüger, W., Bohn, C, Fröhlich, B., et al. The Responsive Workbench: A Virtual Environment. IEEE Computer, pp.42–48, July, 1995.Google Scholar
- 4.Internet web site: Institute for Media Communication, GMD, German National Research Center for Information Technology, http://viswiz.gmd.de
- 5.Technical Analysis: Course Notes from Securities Institute of Australia course in Technical Analysis. (El 14), 1999. http://www.securities.edu.au
- 6.Specialised Techniques in Technical Analysis: Course Notes from Securities Institute of Australia course in technical Analysis (E171), 1999. http://www.securities.edu.au
- 7.Nesbitt, K.V. and Orenstein B.J. Multisensory Metaphors and Virtual Environments applied to Technical Analysis of Financial Markets. Proceedings of the Advanced Investment Technology, 1999. pp 195–205. ISBN: 0733100171.Google Scholar
- 8.Nesbitt, K. V. A Classification of Multi-sensory Metaphors for Understanding Abstract Data in a Virtual Environment. Proceedings of IV 2000, London. 2000.Google Scholar
- 9.Nesbitt, K. V. Designing Multi-sensory Models for Finding Patterns in Stock Market Data. Proceedings of International Conference on Multimodal Interfaces, Beijing. 2000.Google Scholar