Stock Price Forecasting With Integration of Sectoral Behavior: A Deep Auto‐Optimized Multimodal Framework
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.3265
Abstract: This study proposes a novel deep auto‐optimized architecture for stock price forecasting that integrates sectoral behavior with individual stock sentiment to improve predictive accuracy. Traditional stock prediction models often focus solely on individual stock behavior,… read more here.
Keywords: auto optimized; deep auto; stock; sectoral behavior ... See more keywords