An automatic pattern recognition value system with listed banks based on blockchain

Abstract

Centered on the value of listed banks in investment management, this article proposes an automatic pattern recognition value system based on blockchain. It will be of great value for investors to reasonably estimate the stock value of listed banks. In this way, the investors will make a better investment decision, which will realize the rational allocation of social resources. The new value system includes three layers: (a) production of value; (b) record of value; (c) assessment of value. In the framework, we encapsulate the valuable business processes of listed banks through smart contracts. The cryptographic algorithms and token mechanism ensure the normal operation of the transaction. We record the value of listed banks by distributed ledger technology. Consensus mechanism verifies the validity of records. Meanwhile, the token mechanism completes the value transfer and acts as an incentive measure for network node accounting. Finally, we evaluate the value of listed banks from integration, optimization, control, and value-added satisfaction services. Therefore, the new value system can correctly guide investors in making a rational investment, which will increase investment returns and ultimately realize the rational allocation of social resources.