Investment Decision Making Using FGP : A Case Study

@inproceedings{Li1999InvestmentDM,
  title={Investment Decision Making Using FGP : A Case Study},
  author={Jin Li and E. P. K. Tsang},
  year={1999}
}
Financial investment decision making is extremely difficult due to the complexity of the domain. Many factors could influence the change of share prices. FGP (Financial Genetic Programming) is a genetic programming based forecasting system, which is designed to help users evaluate impact of factors and explore their interactions in relation to future prices. Users channel into FGP factors that they believe are relevant to the prediction. Examples of such factors may include fundamental factors… CONTINUE READING
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Eddie beats the market , data mining and decision support through genetic programming

  • J. M. Butler
  • Developments , Reuters Limited
  • 1997
1 Excerpt

Is technical analysis in the foreign exchange market profitable? a genetic programming approach,

  • C. Neely, P. Weller, R. Ditmar
  • Journal of Financial and Quantitative Analysis,
  • 1997
1 Excerpt

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