Genetic Algorithms and Applications for Stock Trading Optimization
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| Title: | Genetic Algorithms and Applications for Stock Trading Optimization |
|---|---|
| Description: | Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science. |
| Authors: | Vivek Kapoor, Shubhamoy Dey |
| Resource Type: | eBook. |
| Subjects: | Genetic algorithms, Stocks--Mathematical models, Genetic programming (Computer science) |
| Categories: | COMPUTERS / Programming / Algorithms, COMPUTERS / Artificial Intelligence / General, BUSINESS & ECONOMICS / Investments & Securities / Stocks |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Genetic Algorithms and Applications for Stock Trading Optimization – Name: Abstract Label: Description Group: Ab Data: Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Vivek+Kapoor%22">Vivek Kapoor</searchLink><br /><searchLink fieldCode="AR" term="%22Shubhamoy+Dey%22">Shubhamoy Dey</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Stocks--Mathematical+models%22">Stocks--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+programming+%28Computer+science%29%22">Genetic programming (Computer science)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Programming+%2F+Algorithms%22">COMPUTERS / Programming / Algorithms</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Investments+%26+Securities+%2F+Stocks%22">BUSINESS & ECONOMICS / Investments & Securities / Stocks</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 332.64201519625 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Genetic algorithms Type: general – SubjectFull: Stocks--Mathematical models Type: general – SubjectFull: Genetic programming (Computer science) Type: general Titles: – TitleFull: Genetic Algorithms and Applications for Stock Trading Optimization Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vivek Kapoor – PersonEntity: Name: NameFull: Shubhamoy Dey – PersonEntity: Name: NameFull: Vivek Kapoor – PersonEntity: Name: NameFull: Shubhamoy Dey IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 19 M: 07 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9781799841050 – Type: isbn-electronic Value: 9781799841067 – Type: isbn-electronic Value: 9781799841074 Titles: – TitleFull: Genetic Algorithms and Applications for Stock Trading Optimization Type: main |
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