Deep Hierarchical Strategy Model for Multi-Source Driven Quantitative Investment
Using deep learning to maximize the benefits of a series of risks in the securities market was a very interesting and widely concerned problem. From the perspective of multi-source driving, we proposed a feature combination method based on prior knowledge and designed a deep hierarchical strategy mo...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8743385/ |