A Deep Learning Framework for High-Frequency Signal Forecasting Based on Graph and Temporal-Macro Fusion

A Deep Learning Framework for High-Frequency Signal Forecasting Based on Graph and Temporal-Macro Fusion

With the increase in trading frequency and the growing complexity of data structures, traditional quantitative strategies have gradually encountered bottlenecks in modeling capacity, real-time responsiveness, and multi-dimensional information integration. To address these limitations, a high-frequen...

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Bibliographic Details
Main Authors:	Xijue Zhang, Liman Zhang, Siyang He, Tianyue Li, Yinke Huang, Yaqi Jiang, Haoxiang Yang, Chunli Lv
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Applied Sciences
Subjects:	deep learning in quantitative scheme signal forecasting graph neural networks attention mechanism
Online Access:	https://www.mdpi.com/2076-3417/15/9/4605
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