Multi-port Realization of Modeling Platform for Impact of Negative Financial Information on Market Stock Price Fluctuation based on Crawler Network Analysis Algorithm
Yin Fang · 2022 International Conference on Inventive Computation Technologies (ICICT) · 2022
Based on the current research progress of web crawler at home and abroad, this paper analyzes and compares the advantages and disadvantages of existing topic web crawler search strategies. Based on the web crawler search strategy, a new modeling method for the impact of negative financial information on market stock price fluctuations is proposed. By analyzing the reasons that affect the stock price fluctuations of enterprises, the characteristics of stock price fluctuations of enterprises are obtained, and the Kalman filter method is used to obtain the connection between the negative financial information of enterprises and the fluctuation of market stock prices. The least squares criterion is introduced to establish a model of the impact of corporate negative financial information on market share price fluctuations.