Author(s)

Yaowen Chen ¹

Affiliation(s)

¹ International Business School, Jinan University, Zhuhai, Guangdong, 519070, China

Corresponding Author

Yaowen Chen

ABSTRACT

Quantitative trading has a broad development prospect in the future Chinese capital market. The study of quantitative trading strategies and their trading systems is a strategically important layout and a powerful tool and weapon for advanced investors to make trading decisions. The purpose of this paper is to study visual financial quantitative trading analysis based on the Internet of Things economic era. The front-end related technologies required to build the system are selected and the design of smart contracts, private chains and consensus algorithm deployment are completed. Implement the visualisation function in the data trading module, map the sensors into an API interface for the purchaser to call and trigger a smart contract to execute the transaction. The testing of the system and the transaction object matching algorithm was also completed on the built sandbox, and the test results showed that it met expectations.

KEYWORDS

IoT Economy, Visualisation and Analysis, Financial Quantification, Transaction Analysis

CITE THIS PAPER

Yaowen Chen, Quantitative Trading in Visual Finance Based on the Era of Internet of Things Economy. Financial Engineering and Risk Management (2023) Vol. 6: 40-46. DOI: http://dx.doi.org/10.23977/ferm.2023.060205.

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