Ultra-short term trading using a neural-network based ensemble of financial technical indicators in a closed world market.
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| Title: | Ultra-short term trading using a neural-network based ensemble of financial technical indicators in a closed world market. |
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| Authors: | Zafeiriou, Theodoros1, zafiriou.theodore@ac.eap.gr, Kalles, Dimitris |
| Source: | Intelligent Decision Technologies; 2022, Vol. 16 Issue 3, p523-541, 19p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 159498727 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159498727 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/IDT-229012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 523 Titles: – TitleFull: Ultra-short term trading using a neural-network based ensemble of financial technical indicators in a closed world market. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zafeiriou, Theodoros – PersonEntity: Name: NameFull: Kalles, Dimitris IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 18724981 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Intelligent Decision Technologies Type: main |
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