Work

Multi-layer Feature Fusion method based on Convolutional Neural Network for Stock Trend Forecasting

Year: 2024

Type: conference-paper

Abstract: Stock trend prediction remains a crucial area of research in the financial domain, where the stock market is characterized by a plethora of indicators that describe various stock features. A key challenge lies in effectively capturing the interrelationships among these features and extracting them c

Source: International Conference on Big Data Economy and Digital Management (BDEDM)

DOI: 10.4108/eai.12-1-2024.2347222

Authors: Mengyang Liu, Mingyan Xu, Wen Jiang, Feng Zhao, Yan Jiang, Yong Zhang

Institution: Shandong Institute of Business and Technology

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funder: National Natural Science Foundation of China