A Multi-Modal Approach Using a Hybrid Vision Transformer and Temporal Fusion Transformer Model for Stock Price Movement Classification

A Multi-Modal Approach Using a Hybrid Vision Transformer and Temporal Fusion Transformer Model for Stock Price Movement Classification

Stock market price movement primarily focuses on accurately classifying buy and sell signals, which enables traders to maximize profits with well-timed market entry and exit trading positions. This study presents and implements a multi-modal deep learning approach to classifying stock price movement...

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Bibliographic Details
Main Authors: Ibanga Kpereobong Friday, Sarada Prasanna Pati, Debahuti Mishra
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Candlestick
histogram of oriented gradients (HOG)
stock price movement
multi-modal
temporal fusion transformer (TFT)
vision transformer (ViT)
Online Access:https://ieeexplore.ieee.org/document/11080418/
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https://ieeexplore.ieee.org/document/11080418/

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