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Unlocking Multifractal and Long-Memory Dynamics in Cryptocurrency Markets: A Fractional Attention-Driven LSTM–N-BEATS Framework for Optimal Investment Under Dynamic Risk.

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Title: Unlocking Multifractal and Long-Memory Dynamics in Cryptocurrency Markets: A Fractional Attention-Driven LSTM–N-BEATS Framework for Optimal Investment Under Dynamic Risk.
Authors: Sukono1 (AUTHOR) sukono@unpad.ac.id, Riaman1,2 (AUTHOR), Saputra, Moch Panji Agung1,3 (AUTHOR), Prihanto, Igif Gimin2,4 (AUTHOR), Kardoyo, Hadi2,5 (AUTHOR), Diana, Shinta Rahma1,2 (AUTHOR), Halim, Nurfadhlina Binti Abdul2,3 (AUTHOR), Maghfirani, Nazla Aqira3,4 (AUTHOR), Pirdaus, Dede Irman4,5 (AUTHOR)
Source: Fractal & Fractional. Jun2026, Vol. 10 Issue 6, p379. 35p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="JN" term="%22Fractal+%26+Fractional%22">Fractal & Fractional</searchLink>. Jun2026, Vol. 10 Issue 6, p379. 35p.
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        Text: English
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      – TitleFull: Unlocking Multifractal and Long-Memory Dynamics in Cryptocurrency Markets: A Fractional Attention-Driven LSTM–N-BEATS Framework for Optimal Investment Under Dynamic Risk.
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              Text: Jun2026
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