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- W2384657246 abstract "Based on the dynamic and real-time tracking features of Kalman filter and the fluctuation of the stock market,the stock is viewed as a maneuvering object and its price is viewed as the displacement of the object and the change of the price is viewed as the velocity of the object in this article.Then,the nonlinear dynamic model is used to describe the fluctuation of the stock price,and a dynamic prediction model of stock price is established with the theory of Kalman filter.The corresponding algorithm is given at last.The result of the instance simulation indicates that the algorithm posed in this article is reliable,simple and rapid,and the model has high prediction precision,which can realize real-time trace and prediction and has definite value of both theory and practice." @default.
- W2384657246 created "2016-06-24" @default.
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- W2384657246 date "2005-01-01" @default.
- W2384657246 modified "2023-09-23" @default.
- W2384657246 title "Application of A Real-time Tracking Model Based on Kalman Filter in The Prediction of Stock Price" @default.
- W2384657246 hasPublicationYear "2005" @default.
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