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Record Nr. |
UNINA9910491030403321 |
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Autore |
Martins Tiago |
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Titolo |
Stock exchange trading using grid pattern optimized by a genetic algorithm with speciation : the case of S&P 500 / / Tiago Martins, Rui Neves |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (79 pages) |
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Collana |
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SpringerBriefs in Applied Sciences and Technology |
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Disciplina |
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Soggetti |
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Computational intelligence |
Financial engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Contents -- Acronyms -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Background -- 1.2 Proposed Solution -- 1.3 Main Contribution -- 1.4 Outline -- References -- 2 Related Work -- 2.1 Financial Portfolio and Portfolio Optimization -- 2.2 Stock Market Analysis -- 2.2.1 Technical Indicators -- 2.3 Optimization Techniques -- 2.3.1 Genetic Algorithms -- 2.3.2 Artificial Neural Networks -- 2.3.3 NeuroEvolution -- 2.3.4 NeuroEvolution of Augmenting Topologies -- 2.3.5 Speciation -- 2.4 Pattern Detection -- 2.4.1 Chart Patterns -- 2.4.2 Detection of Perceptually Important Points -- 2.4.3 Application of Templates -- 2.4.4 Application of Rules -- 2.5 Chapter Conclusion -- References -- 3 Architecture -- 3.1 System's Architecture -- 3.2 User Interface -- 3.3 Financial Data -- 3.4 Data Flow and Data Processing -- 3.5 Trading Algorithm -- 3.5.1 Pattern Detection -- 3.5.2 API for Genetic Algorithm -- 3.5.3 Genetic Algorithm and Speciation -- 3.5.4 System Optimizations -- 3.6 Chapter Conclusion -- References -- 4 Evaluation -- 4.1 Tests Scenarios and Objectives -- 4.2 General Setup -- 4.3 Test Scenario 1-FSGW Versus TSAG -- 4.3.1 Parameter Specification -- 4.3.2 Performance Measures -- 4.3.3 Discussion of Results and Illustrative Examples -- 4.4 Test Scenario 2-FSGW with Market Exiting Parameters Depending ... -- 4.4.1 Parameter Specification -- 4.4.2 Performance Measures -- 4.4.3 |
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