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Titlebook: Genetic Algorithms and Genetic Programming in Computational Finance; Shu-Heng Chen Book 2002 Springer Science+Business Media New York 2002

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NXCS: Hybrid Approach to Stock Indexes Forecastingwithout being compelled to exploit more complex neural architectures. Test runs have been performed on some well-known stock market indexes, also taking into account trading commissions. The tests pointed to the good forecasting capability of the proposed approach, which repeatedly outperformed the buy-and-hold strategy.
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發(fā)表于 2025-3-24 05:06:40 | 只看該作者
Intelligent Cash Flow: Planning and Optimization Using Genetic Algorithmsem, the user can decide each day the investment and resource allocation options that suit better the demands and policy of the firm. The ICF analyses 500.000 different planning options in 20 minutes in order to identify the most profitable cash flows.
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https://doi.org/10.1007/978-3-642-17107-9es alternative implementations of the genetic algorithm, their strengths and weaknesses. Then follows an overview of published applications in finance, with particular focus on the papers of Bauer, Pereira, and Colin in foreign exchange trading. Many other rumored applications remain unpublished.
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