Adaptive systems for foreign exchange trading

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@Article{Austin:2004:E,
  author =       "Mark Austin and Graham Bates and Michael Dempster and 
                 Stacy Williams",
  title =        "Adaptive systems for foreign exchange trading",
  journal =      "Eclectic",
  year =         "2004",
  volume =       "18",
  pages =        "21--26",
  month =        "Autumn",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://mahd-pc.jbs.cam.ac.uk/archive/PAPERS/adaptive.pdf",
  size =         "6 pages",
  abstract =     "A joint project between academics and bankers has
                 shown how banks can improve the forecasting performance
                 of their technical trading systems in foreign exchange
                 markets. Professor Michael Dempster and Graham Bates,
                 both of the Centre for Financial Research, Cambridge,
                 and Dr Mark Austin and Dr Stacy Williams, both of HSBC
                 Global Markets, outline the results of their
                 research.

                 Consistently predicting FX markets has seemed like an
                 impossible goal but recent advances in financial
                 research now suggest it can be done. Automated trading
                 systems are being used successfully to predict intraday
                 and daily exchange rates.

                 Trading systems using only publicly available technical
                 indicators can be profitable ? but those that also use
                 proprietary information can be more accurate and
                 therefore more profitable.

                 A joint project by the Centre for Financial Research
                 (at the Judge Institute of Management, Cambridge
                 University) and HSBC used the bank's customer order
                 information to show that using proprietary information
                 in trading systems can improve their forecasting
                 performance and profitability.

                 The research findings also intuitively make sense.
                 Successful traders in the FX markets apply human
                 judgement to a range of information and techniques. In
                 this project the researchers mimicked these traders by
                 combining the techniques of technical analysis with the
                 stream of public and non-public information available
                 to them.",
}

Genetic Programming entries for Mark P Austin Graham Bates Michael Dempster Stacy N Williams

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