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Stock trading system based on the multi-objective particle swarm optimization of technical indicators on end-of-day market data

  • Published:2011-01 Issue:1 Volume:11 Page:1191-1201
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Briza Antonio C.,Naval Prospero C.

Publisher

Elsevier BV

Subject

Software

Reference35 articles.

1. Evolutionary multiobjective optimization approach for evolving ensemble of intelligent paradigms for stock market modeling;Abraham,2005

2. A multiobjective approach to the portfolio optimization problem;Armananzas,2005

3. A stock selection DSS combining AI and technical analysis;Chou;Annals of Operations Research,1997

4. The particle swarm explosion, stability, and convergence in a multidimensional complex space;Clerc;IEEE Transactions on Evolutionary Computation,2002

5. MOPSO: a proposal for multiple objective particle swarm optimization;Coello,2002
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