Uses machine learning algorithms to analyze market trends and personal investment preferences to provide investors with customized investment advice. It can formulate personalized investment plans based on factors such as investors' risk tolerance, investment goals, and asset status, helping investors make more rational and efficient investment decisions and reduce investment risks. For example, based on information such as investors' age, income, and risk preferences, it can build a reasonable asset allocation portfolio for them, including the proportion of different asset categories such as stocks, funds, and bonds.