Design of simulated stock forecasting trading system based on time series

The stock market is a highly complex nonlinear dynamic system. The stock price involves many uncertain factors. The influencing factors of the stock market are very complex and changeable. Reasonable and effective prediction of stock price has always been an important and difficult problem in the whole financial field. Time series analysis is one of the important tools in the field of economic forecasting. In the stock market, the time series forecasting method is often used to forecast the stock price trend, providing decision-making basis for investors and stock market managers. Therefore, the design of Trading System for simulating stock forecasting based on time series is proposed. Through the analysis and design of the simulated stock forecasting Trading System, the virtual Trading System is finally realized, which provides an important tool for investors to learn stock trading knowledge and increase stock operation experience, and contributes to the sound development of the stock trading market.