Fusion of Technical Indicators and Sentiment Analysis in a Hybrid Framework of Deep Learning Models for Stock Price Movement Prediction

Fusion of Technical Indicators and Sentiment Analysis in a Hybrid Framework of Deep Learning Models for Stock Price Movement Prediction

Stock price movement prediction is challenging due to unpredictable fluctuations and the significant impact of market sentiment and news. Accurate prediction models can enhance investor decision-making and control over stock price movements. Creating a model for predicting high-accuracy stock price...

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Bibliographic Details
Main Authors: Fatemeh Moodi, Amir Jahangard Rafsanjani, Sajjad Zarifzadeh, Mohammad Ali Zare Chahooki
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Long short-term memory (LSTM)
convolutional neural network (CNN)
gated recurrent unit (GRU)
stock price movement prediction
sentiment analysis
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Online Access:https://ieeexplore.ieee.org/document/10806710/
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