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Combining market-guided patterns and mamba for stock price prediction

Stock prices prediction is a highly challenging task over many years, owing to the market’s high volatility. With the development of deep learning, various studies has focused on modeling temporal patterns for stock price prediction. Most existing approaches rely on a shared neural architecture that...

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Hlavní autoři: Yanshuo Chang, Wei Lu, Feng Xue, Xinyu Lu
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2025-02-01
Edice:Alexandria Engineering Journal
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On-line přístup:http://www.sciencedirect.com/science/article/pii/S1110016824012821
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