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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Rihab Najem, Ayoub Bahnasse, Mohamed Talea
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2026-03-01
Schriftenreihe:	Discover Artificial Intelligence
Schlagworte:	Stock market forecasting Prophet model Sentiment analysis Multimodal learning Financial index Twitter analysis
Online-Zugang:	https://doi.org/10.1007/s44163-026-00866-4
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