Portfolio Optimization of Intelligent Investment Advisors based on Deep Learning

Yucheng Zhuang; Mo Zhang; Tongtong Li; Tao Wang

doi:10.6981/FEM.202412_5(12).0026

Authors

Yucheng Zhuang
Mo Zhang
Tongtong Li
Tao Wang

DOI:

https://doi.org/10.6981/FEM.202412_5(12).0026

Keywords:

Intelligent Investment Advisor; Fund Portfolio; Deep Learning.

Abstract

This research proposal aims to develop an optimal fund portfolio allocation plan by integrating deep learning ensemble models into intelligent investment advisors. Through layer-by-layer data processing, we seek to ensure the optimal output of fund portfolio allocation plans, while maintaining a database system to manage diverse fund data generated during model training. Furthermore, economic cycle analysis will be incorporated to enhance the stability and accuracy of the artificial intelligence solution applied to fund portfolio allocation.

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