Exploring the Application of Smart Contracts in Financial Legal Regulation

Abstract

In order to solve the problem of inefficient supervision caused by market segmentation in traditional financial supervision, the application of smart contracts in financial legal supervision is proposed. Based on the demand of financial market, this paper explores the role of smart contract technology in financial regulatory platform and studies the big data processing algorithm of financial regulatory platform. The financial regulatory platform mainly adopts the random forest algorithm, in the process of processing, through the construction of the model and the operation process, and the financial data characteristic variables and data random algorithm accuracy analysis and data processing. Experimental results show that: the system crawls mainly for the website information Cathay Pacific CSMAR database, selected 22 financial indicators, the use of financial data, prediction accuracy are above 96%, indicating that the system has a good prediction function. Conclusion: The result is favorable for the company to carry out mathematical statistics, and then avoid the risk.