Thus, the new prediction estimation algorithm is simplified. Comparing with ordinary Kalman prediction method, the new ones can increase the accuracy of stock tendency prediction.

All these factors combined contribute to making estimation and prediction less than accurate.

You can apply this same easy and straightforward method to many other possible applications, such as customer value estimation, churn prediction, and up- and cross-sell potential.