Application of investment fund selection model

This application of the investment fund selection model has been designed to assist investors in evaluating the potential risks and returns of various funds. The model uses advanced algorithms to analyze and compare a range of user-input vital indicators, with the aim of filtering out funds that do not align with their investment strategy and risk tolerance. This helps to reduce the risk of blind investment and increase investment efficiency.

The software design theory is rooted in the Efficient Capital Market Hypothesis. It enables investors to conduct in-depth research under the system-produced framework and draw reasonable conclusions about stock prices, information disclosure, and their relationship with other market factors. Notably, the software creatively incorporate value-at-risk (VaR) factors which better reflect the peculiarities of the infrastructure and manufacturing sectors. Specifically, it aims to provide a more effective assessment of these industries. The software allows investors to have a quantitative assessment of key metrics, enabling investors to gain a better understanding of each fund's fees, performance, risk, and other essential information. This, in turn, helps investors make more informed investment decisions.

The software interface has been designed with the minimalist principle in mind, featuring simple and intuitive function buttons and easy-to-understand operating procedures. This ensures that even novice users with limited financial knowledge can quickly get started, thereby lowering the threshold of use and investment.