What if the Screens Went Black? The Coming of Software Agents

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 489)


Trading screens are not supposed to be black. In fact, when we see them on trading floors, on TV, or in media centres, they attract us with catching colours and blinking information. They project urgency, speed, and power – the power of big money, the power of winning and losing. When we are near them, we feel their heat. We want to give in to their considerable attraction. We want to be players of the game and part of the action.


  1. 1.
    The Government Office for Science: Foresight: The Future of Computer Trading in Financial Markets. Final Project Report. London (2012)Google Scholar
  2. 2.
    King, M.R., Rime, D.: The $4 trillion question: what explains FX growth since the 2007 survey? BIS Q. Rev. 27–41 (2010)Google Scholar
  3. 3.
    BIS (Bank for International Settlement): High-Frequency Trading in the Foreign Exchange Market (2011). www.bis.org/publ/mktc05.pdf. Accessed 15 Feb 2012
  4. 4.
    Johnson, B.: Algorithmic Trading & DMA: An Introduction to Direct Access Trading Strategies. 4Myeloma Press, London (2010)Google Scholar
  5. 5.
    Durbin, M.: All about High Frequency Trading. McGraw Hill, New York (2010)Google Scholar
  6. 6.
    See Mullins, B., Rothfeld, M., McGinty, T., Strasburg, J.: Traders pay for an early peek at key data. Wall Street J. 12 June 2013. http://online.wsj.com/article/SB10001424127887324682204578515963191421602.html. Accessed 15 June 2013
  7. 7.
    See Popper, N.: High speed trading no longer hurtling forward. New York Times, 14 October 2012. www.nytimes.com/2012/10/15/business/with-profits-dropping-high-speed-trading-cools-down.html?pagewanted=all&_r=0. Accessed 16 Oct 2012
  8. 8.
    Salmon, F., Stokes, J.: Algorithms take control of wall street. Wired, 27 December 2010. www.wired.com/magazine/2010/12/ff_ai_flashtrading/. Accessed 20 Feb 2013
  9. 9.
    SEC (U.S. Securities and Exchange Commission) and the (CFTC) Commodity Futures Trading Commission: Findings Regarding the Market Events of 6 May 2010. www.sec.gov/news/studies/2010/marketevents-report.pdf. Accessed 17 Feb 2011
  10. 10.
    Shari, M.: The Volcker Generation. Barron’s, 22 November 2012. http://online.barrons.com/article/SB50001424052748703961304578129162892716642.html. Accessed 2 Jan 2013
  11. 11.
    Aslam, J.A., Fell, H.: Analysis of algorithms: running time. CSU200–Discrete Structures. www.ccs.neu.edu/course/csu200/05F/handouts/rt.pdf. Accessed 28 Aug 2013
  12. 12.
    Perlberg, S.: Now you can do algorithmic trading from your couch. Business Insider, 18 June 2013. www.businessinsider.com/now-you-can-do-algorithmic-trading-2013-6. Accessed 16 July 2013
  13. 13.
    Cendrowski, S.: Quant trading comes to main street. CNN Money, 18 June 2013. http://finance.fortune.cnn.com/2013/06/18/quant-trading-comes-to-main-street. Accessed 16 July 2013
  14. 14.
    Schneider, G.M., Gersting, J.: An Invitation to Computer Science. West Group, New York (1995)Google Scholar
  15. 15.
    Aldridge, I.: High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems. Wiley, Hoboken (2010)Google Scholar
  16. 16.
    Damasio, A.: Descartes’ Error: Emotion, Reason, and the Human Brain. Vintage, London (1994)Google Scholar
  17. 17.
    Cetina Knorr, K.D., Bruegger, U.: Traders’ engagement with markets: a postsocial relationship. Theor. Cult. Soc. 19, 161–185 (2002)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  1. 1.University of ChicagoChicagoUSA

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