Application of the Gompertz Growth Curve in the Time Series of Stock

With regard to the strong fluctuation of the time series of stock, due to the characteristics of the Gompertz growth curve, it has greater limitations that direct application of the Gompertz growth curve to forecast for the time series of stock. This paper takes the Composite Index of Shanghai Stock Exchange as the object of study, tries to find the local maximum and minimum point by the method of local maximum and minimum value, use the data that trend segment between two points, and after moving average to the data, so that the data could meet the characteristics of the Gompertz curve, and then apply the Gompertz curve to predict growth trend and results show the Gompertz curves have great applied value.