With the rapid development of computer technology, the era of high-speed data has arrived. In this era, in-depth research on high-frequency digital models is required. This article first conducts a detailed analysis of the data model in the computer system-assisted environment, and then discusses related issues such as high-frequency data modeling and simulation from the perspective of the economic market. On this basis, this article proposes a new high-frequency data modeling method under the dual-machine intelligent management mode of the economic market, and establishes an economic and social benefit evaluation index system. At the same time, this article uses the MATLAB simulation toolbox to build an experimental prototype system and evaluates the performance of the model. The experimental results show that the minimum standard deviation of the model is 0.0001 and the maximum is 0.000563; the P value is between 0.01–0.06, and the closer the value is to 0. This shows that the algorithm has the advantages of strong adaptability and easy implementation of functions. This series of research and experiments provides strong support for high-frequency data modeling and economic and social benefit evaluation.