This article through the establishment of quantitative model and the corresponding prediction model orientation of network information mining, through the database to adjust some of this information and integration, the database of the directivity classification work, can according to the requirements in terms of system analysis of data at the same time, through the data to forecast its trend, get the best prediction model and the prediction results. In this paper, a data set is established based on the stage new information indicators of database information and the corresponding rise and fall trend broken line graph, and a quantitative Model and trend prediction system based on two-brain Strategy Model are established to predict and evaluate the situation of directional information. And then to predict the trend of fluctuations is relatively accurate prediction results quantitative optimization model is established, the grid strategy and hedge strategy is adopted to improve the decision-making and judgment, decision variable coding as operands, can converge to the optimal solution with large probability, data analysis and forecast the dynamic change of process, with different weights allocation scheme to give corresponding risk prediction.
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