Integrating sentiment analysis with CNN–LSTM models for stock price forecasting

Stock price prediction remains challenging due to markets’ non-linear, volatile nature. While existing studies analyse numerical data or textual news separately, their synergistic integration remains underexplored. We propose a novel dual-stream deep learning framework combining wavelet-processed pr...

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Autors principals:	Taufeeque Ahmad Siddiqui, Mohd Raagib Shakeel, Shahzad Alam, Mahak Manzoor, Saif Siddiqui, Prashant Ranjan
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2026-06-01
Col·lecció:	IIMB Management Review
Matèries:	Stock price prediction Sentiment analysis Financial news FinBERT CNN–LSTM hybrid
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S0970389626000340
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