This research explores machine learning for stock selection and portfolio optimization, suggesting new investment strategies.
Stock and portfolio is an important part of the financial industry, which is affected by many factors and changes at the same time there are certain rules. The rapid development of big data and artificial intelligence technology represented by machine learning provides investors with new tools for stock selection and investment portfolio. Based on this, this paper will analyze the research background and significance of the stock selection model and investment portfolio based on machine learning, and combine the development status at home and abroad and relevant theoretical basis, to explore the stock selection model and investment portfolio application based on machine learning.
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Kang et al. (2025) studied this question.
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