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Engineering - Computational Intelligence and Complexity | Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies

Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies

Gorgulho, Antonio, Neves, Rui F.M.F., Horta, Nuno C G

2013, XI, 77 p. 30 illus., 15 illus. in color.

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  • About this book

  • Proposes genetic algorithms to manage financial porfolios
  • Provides information to predict the future movement of a stock’s
  • price
  • Interdisciplinary content of interest to a broad range of researchers and professionials, from computer scientists to economists
The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.

Content Level » Research

Keywords » Computational Finance - Portfolio Composition - Stock Trading

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Financial Economics

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