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Le trading algorithmique

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Author Info

  • Victor Lebreton

    (CES)

Abstract

The algorithmic trading comes from digitalisation of the processing of trading assets on financial markets. Since 1980 the computerization of the stock market offers real time processing of financial information. This technological revolution has offered processes and mathematic methods to identify best return on transactions. Current research relates to autonomous transaction systems programmed in certain periods and some algorithms. This offers return opportunities where traders can not intervene. There are about thirty algorithms to assist the traders, the best known are the VWAP, the TWAP, TVOL. The algorithms offer the latest strategies and decision-making are the subject of much research. These advances in modeling decision-making autonomous agent can envisage a rich future for these technologies, the players already in use for more than 30% of their trading.

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File URL: http://arxiv.org/pdf/0810.4000
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Bibliographic Info

Paper provided by arXiv.org in its series Papers with number 0810.4000.

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Date of creation: Oct 2008
Date of revision: Mar 2009
Handle: RePEc:arx:papers:0810.4000

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Web page: http://arxiv.org/

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  1. Bollerslev, Tim & Domowitz, Ian & Wang, Jianxin, 1997. "Order flow and the bid-ask spread: An empirical probability model of screen-based trading," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1471-1491, June.
  2. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 251-256.
  3. Mark Austin & Graham Bates & Michael Dempster & Vasco Leemans & Stacy Williams, 2004. "Adaptive systems for foreign exchange trading," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 37-45.
  4. Coppejans, Mark & Domowitz, Ian, 1999. "Pricing behavior in an off-hours computerized market," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 583-607, December.
  5. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Science & Finance (CFM) working paper archive 0203511, Science & Finance, Capital Fund Management.
  6. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. " Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-64, December.
  7. Brailsford, Timothy J. & Frino, Alex & Hodgson, Allan & West, Andrew, 1999. "Stock market automation and the transmission of information between spot and futures markets," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 247-264, November.
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