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Multi-objective genetic programming-based algorithmic trading, using directional changes and a modified sharpe ratio score for identifying optimal trading strategies

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Τίτλος: Multi-objective genetic programming-based algorithmic trading, using directional changes and a modified sharpe ratio score for identifying optimal trading strategies
Συγγραφείς: Long, XinpengAff1, IDs10462025113909_cor1, Kampouridis, MichaelAff1, IDs10462025113909_cor2, Papastylianou, TasosAff1
Πηγή: Artificial Intelligence Review: An International Science and Engineering Journal. 59(2)
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s10462-025-11390-9
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  Data: Multi-objective genetic programming-based algorithmic trading, using directional changes and a modified sharpe ratio score for identifying optimal trading strategies
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  Data: <i>Artificial Intelligence Review: An International Science and Engineering Journal</i>. 59(2)
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        Value: 10.1007/s10462-025-11390-9
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      – Text: English
    Titles:
      – TitleFull: Multi-objective genetic programming-based algorithmic trading, using directional changes and a modified sharpe ratio score for identifying optimal trading strategies
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            NameFull: Long, Xinpeng
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            NameFull: Kampouridis, Michael
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            – D: 01
              M: 02
              Type: published
              Y: 2026
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              Value: 59
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              Value: 2
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            – TitleFull: Artificial Intelligence Review: An International Science and Engineering Journal
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