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Financial data resampling for machine learning based trading : application to cryptocurrency markets / / TomeÌ Almeida Borges, Rui Neves
| Financial data resampling for machine learning based trading : application to cryptocurrency markets / / TomeÌ Almeida Borges, Rui Neves |
| Autore | Borges TomeÌ Almeida |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (108 pages) |
| Disciplina | 332.6322 |
| Soggetto topico |
Investments - Statistical methods
Criptomoneda Inversions Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68379-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466558303316 |
Borges TomeÌ Almeida
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Financial data resampling for machine learning based trading : application to cryptocurrency markets / / TomeÌ Almeida Borges, Rui Neves
| Financial data resampling for machine learning based trading : application to cryptocurrency markets / / TomeÌ Almeida Borges, Rui Neves |
| Autore | Borges TomeÌ Almeida |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (108 pages) |
| Disciplina | 332.6322 |
| Soggetto topico |
Investments - Statistical methods
Criptomoneda Inversions Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68379-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484264103321 |
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Borges TomeÌ Almeida
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs / / by João Baúto, Rui Neves, Nuno Horta
| Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs / / by João Baúto, Rui Neves, Nuno Horta |
| Autore | Baúto João |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (91 pages) : illustrations (some color), graphs |
| Disciplina | 519.7 |
| Collana | SpringerBriefs in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Financial engineering Economics, Mathematical Computational Intelligence Financial Engineering Quantitative Finance |
| ISBN | 3-319-73329-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field. |
| Record Nr. | UNINA-9910299933503321 |
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Baúto João
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stock exchange trading using grid pattern optimized by a genetic algorithm with speciation : the case of S&P 500 / / Tiago Martins, Rui Neves
| Stock exchange trading using grid pattern optimized by a genetic algorithm with speciation : the case of S&P 500 / / Tiago Martins, Rui Neves |
| Autore | Martins Tiago |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (79 pages) |
| Disciplina | 006.3 |
| Collana | SpringerBriefs in Applied Sciences and Technology |
| Soggetto topico |
Computational intelligence
Financial engineering |
| ISBN | 3-030-76680-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Discussion of Results and Illustrative Examples -- 4.5 Test Scenario 3-FSGW Using Speciation in GA Versus ... -- 4.5.1 Parameter Specification -- 4.5.2 Performance Measures -- 4.5.3 Discussion of Results and Illustrative Examples -- 4.6 Overall Analysis -- 4.7 Chapter Conclusion -- Reference -- 5 Conclusions and Future Work -- 5.1 Summary and Achievements -- 5.2 Future Work. |
| Record Nr. | UNINA-9910491030403321 |
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Martins Tiago
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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