Research on Financial Investment Decision Based on Cloud Model and Hybrid Drosophila Algorithm Optimization

In recent years, due to the rapid development of portfolio theory, modern information technology and financial market turmoil, the pace of financial innovation is accelerating day by day, and new financial products and services are emerging in the market. Financial innovation has created various types of institutional investors, and the rapid growth of institutional investors has accelerated the process of financial innovation. Under the framework of efficient market hypothesis, information is not distorted in the transmission process, and investors can accurately measure the basic value of financial assets. The price of each financial asset is exactly equal to its basic investment value. It is undoubtedly a meaningful research work to generalize these hypotheses to make the model more universal. Based on the cloud model hybrid Drosophila algorithm, this paper studies the method of measuring financial investment risk, which provides theoretical support and practical guidance for the financial market investment decision-making under the nonlinear framework.