Virtual Reality Support for TradingJoe Kelley (Humboldt State University, USA)
Copyright © 2012.
28 pages.
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DOI: 10.4018/978-1-61350-162-7.ch007
Sample PDFCite
MLA
Kelley, Joe. "Virtual Reality Support for Trading." Information Systems for Global Financial Markets: Emerging Developments and Effects. IGI Global, 2012. 129-156. Web. 25 May. 2013. doi:10.4018/978-1-61350-162-7.ch007
APA
Kelley, J. (2012). Virtual Reality Support for Trading. In A. Yap (Ed.), Information Systems for Global Financial Markets: Emerging Developments and Effects (pp. 129-156). Hershey, PA: Business Science Reference. doi:10.4018/978-1-61350-162-7.ch007
Chicago
Kelley, Joe. "Virtual Reality Support for Trading." In Information Systems for Global Financial Markets: Emerging Developments and Effects, ed. Alexander Y. Yap, 129-156 (2012), accessed May 25, 2013. doi:10.4018/978-1-61350-162-7.ch007
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  | | TopAbstractVirtual reality offers the promise that finally, most of the capabilities of the human mind and senses can be harnessed to improve global financial performance. Over millennia, humans have adapted to their environment by using 3D vision, 3D sound, touch, smell, taste, et cetera. The human brain is highly attuned to these sensory inputs. Survival has often been dependent on split-second perception and quick decisions while under stress. Trading is a similar setting, with 42% of all trading occurring within milliseconds (Business Week, 2009). Losing traders have gone bankrupt and become extinct without exploiting their full sensory capabilities to perceive and understand the trading environment. Most traders have relied on simplistic 2D graphs, text, tables of numbers, and vanishing sounds of the trading floor. More recently, vendors have tried to help traders use more of their senses. Modern computer technology allows traders to better assess the markets, make faster and better decisions, and to get an edge in trading. TopHardware For The SensesTopSightVirtual reality emphasizes visual experiences because vision gives the most information about the environment. The visual cortex is the most massive system in the human brain (Wikidoc, 2011), The eyes contain around 70 percent of all the body's sensory receptors, making sight the most information heavy of all the senses (Lefton & Brannon, 2002). Virtual reality generates visual signals that can be communicated as light rays to the user's eyes. Virtual reality images can be displayed on a computer screen or seen through special stereoscopic goggles. In 1968, Ivan Sutherland created the first virtual reality head mounted display system that gave the user the illusion of being in the same virtual environment as wireframe models (Pausch, 1997). Computer screens are less “real” than head mounted displays but much more popular due to higher resolution, lower cost, and ergonomics. The human brain is quick to perceive the 3D information implied by 2D images displayed on standard computer monitors. The video game industry has done much to ratify the idea that artificial worlds can be generated by software and adequately displayed on 2D screens. The movie industry also has used computer graphics to make movies since the 1970s. Toy Story in 1995 was the first movie made entirely with computer animation. Avatar in 2010 showed that computer animation could create a believable artificial world and that the visual illusion of 3D can be enhanced by special glasses. All of these methods can be used to visualize financial trading. TopGraphics CardsGraphics cards use dedicated GPUs to speedily render graphics on a local computer without bogging down the host CPU. Numerous exciting new graphics cards are introduced each year. NVIDIA GeForce 400 Series® became available in 2010. Its Fermi® chip GPU has 512 stream processors in sixteen groups of 32 and 3.0 billion transistors. It supports OpenGL 4®, Direct3D 11®, VisualStudio® and C++. The card has 256MB attached to each of the enabled 6 GDDR5 memory controllers for a total of 1.5GB. The chip can perform one double-precision floating-point operation per cycle per core. In 2006, NVIDIA® introduced CUDA®, a general purpose parallel computing architecture with a new parallel programming model and instruction set architecture. CUDA uses the parallel compute engine in NVIDIA® GPUs to solve many complex computational problems much faster than on a CPU. CUDA allows developers to use C or other languages such as Fortran, Python, Lua, etc. CUDA allowed the Fermi® card to be used for ray tracing by numerous applications shown at SIGGRAPH® 2010 in Los Angeles. Ray tracing is more realistic than shading so thus enhances the experience of virtual reality. The fact that the ray tracing can be done on the graphics card simplifies the software so that it will be easier to implement than on parallel computers. PEER1.com® uses the Fermi card to provide cloud supercomputer services. For example an auto design can be rendered in the cloud and the image displayed on an Apple iPhone®. Cloud supercomputing could be useful for traders who want to outsource supercomputing; when traveling; or in meetings when traders need a quick answer without breaking up to go turn on the supercomputer. Supercomputing often is used by virtual reality because of the difficult problems addressed. TopComplete Chapter List
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Donald Crooks (Wagner College, USA), John Slayton (Trust Company of the South, USA), John Burbridge (Elon University, USA)
Much has been written about information technology and its role in reinventing financial markets. Today’s markets are truly global, and the interconnectedness is the...
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Alexander Y. Yap (Elon University, USA)
Trading anytime anywhere ubiquitously is rapidly becoming a popular trading practice in the financial marketspace. When highly volatile financial global markets are...
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Michael Kampouridis (University of Essex, UK), Shu-Heng Chen (National Cheng Chi University, Taiwan), Edward Tsang (University of Essex, UK)
In a previous work, inspired by observations made in many agent-based financial models, we formulated and presented the Market Fraction Hypothesis, which basically p...
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| 4. |
Xiaotie Deng (City University of Hong Kong, Hong Kong & University of Liverpool, UK), Feng Wang (Wuhan University, China), Keren Dong (University of Liverpool, UK)
Algorithmic trading strategy making is a very important research issue which attracts more and more people’s interests. This chapter will introduce several principal...
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Alexander Y. Yap (Elon University, USA), Wonhi Synn (Elon University, USA)
This chapter focuses on the theme of service innovation in the electronic brokerage sector. The discussion will cover the theories of “technology bundling” and how b...
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| 6. |
Robert P. Schumaker (Cleveland State University, USA), Hsinchun Chen (University of Arizona, USA)
However, using computational approaches to predict stock prices using financial data is not unique. In recent years, interest has increased in Quantitative funds, or...
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| 7. |
Joe Kelley (Humboldt State University, USA)
Virtual reality offers the promise that finally, most of the capabilities of the human mind and senses can be harnessed to improve global financial performance. Over...
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| 8. |
M. Kersch (Saarland University, Germany), G. Schmidt (Saarland University, Germany & Hochschule Liechtenstein, Liechtenstein)
Trading decisions in financial markets can be supported by the use of trading algorithms. To evaluate trading algorithms and to generate orders to be executed on the...
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| 9. |
Joe Kelley (Humboldt State University, USA)
We sketch a large-scale computable general equilibrium model of the macroeconomy that includes modern features such as financial derivatives. This model can be used...
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| 10. |
Seán O’Riain (National University of Ireland Galway, Ireland), Andreas Harth (Karlsruhe Institute of Technology (KIT), Germany), Edward Curry (National University of Ireland Galway, Ireland)
With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information pro...
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| 11. |
Roger F.A. van Daalen (Lancaster University Management School, UK)
The move towards electronic trading was believed by some to narrow the scope of information available to traders, due to the difference between the old paper-based a...
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| 12. |
Joe Kelley (Humboldt State University, USA)
We present an extensive dynamic financial model that encompasses most models used today in finance and economics. We show that this model is a good match to the capa...
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| 13. |
Joe Kelley (Humboldt State University, USA)
We propose to use FPGA (Field Programmable Gate Arrays) to solve the nearly insurmountable computational challenges of Financial Network Models. Flow of funds models...
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| 14. |
Alma Lilia Garcia Almanza (Banco de Mexico, Mexico), Serafín Martínez Jaramillo (Banco de Mexico, Mexico), Biliana Alexandrova-Kabadjova (Banco de Mexico, Mexico), Edward Tsang (University of Essex, UK)
The main advantage of creating understandable rules is that users are able to interpret and identify the events that may trigger bankruptcy. By using the method that...
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