Computational Intelligence Techniques for Trading and Investment - Info and Reading Options
By Christian Dunis, Spiros Likothanassis, Andreas Karathanasopoulos, Georgios Sermpinis and Theofilatos Konstantinos
"Computational Intelligence Techniques for Trading and Investment" was published by Routledge in 2014 - Hoboken, it has 239 pages and the language of the book is English.
“Computational Intelligence Techniques for Trading and Investment” Metadata:
- Title: ➤ Computational Intelligence Techniques for Trading and Investment
- Authors: Christian DunisSpiros LikothanassisAndreas KarathanasopoulosGeorgios SermpinisTheofilatos Konstantinos
- Language: English
- Number of Pages: 239
- Publisher: Routledge
- Publish Date: 2014
- Publish Location: Hoboken
“Computational Intelligence Techniques for Trading and Investment” Subjects and Themes:
- Subjects: ➤ Investments, mathematical models - Investment analysis - Speculation - Computational intelligence - Investments - Mathematical models - Investissements - Modèles mathématiques - Analyse financière - Spéculation - Intelligence informatique - BUSINESS & ECONOMICS - Finance
Edition Specifications:
- Pagination: 239
Edition Identifiers:
- The Open Library ID: OL46041579M - OL21257439W
- ISBN-13: 9781306538985 - 9780415636803 - 9781136195112
- All ISBNs: 9781306538985 - 9780415636803 - 9781136195112
AI-generated Review of “Computational Intelligence Techniques for Trading and Investment”:
"Computational Intelligence Techniques for Trading and Investment" Description:
Open Data:
Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The book is divided into five parts. The first part introduces the most important computational intelligence and financial trading concepts, while also presenting the most impor
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