A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment

A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment

In this paper, we propose a novel deep learning model that integrates a Temporal Convolutional Network (TCN) with an Attention mechanism to predict stock prices and assess risk for MasterCard (MA) and Visa (V). The model is designed with a dual output to forecast future stock prices (Open, Close, Hi...

Full description

Saved in:
Bibliographic Details
Main Authors: Arindam Kishor Biswas, Md Shariful Alam Bhuiyan, Md Nazmul Hossain Mir, Ashifur Rahman, M. F. Mridha, Md Rashedul Islam, Yutaka Watanobe
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Stock price prediction
temporal convolutional network (TCN)
attention mechanism
dual output model
financial time series
risk assessment
Online Access:https://ieeexplore.ieee.org/document/10926189/
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items