A hybrid prophet-based framework for multimodal forecasting with market sentiment signals

Abstract Financial time series forecasting is traditionally based on historical price patterns, often overlooking exogenous and behavioral variables that can significantly affect market movements. In this study, we enhance the Prophet forecasting framework by integrating sentiment signals derived fr...

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Auteurs principaux:	Rihab Najem, Ayoub Bahnasse, Mohamed Talea
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2026-03-01
Collection:	Discover Artificial Intelligence
Sujets:	Stock market forecasting Prophet model Sentiment analysis Multimodal learning Financial index Twitter analysis
Accès en ligne:	https://doi.org/10.1007/s44163-026-00866-4
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