Financial data analysis and risk quantification based on Python

Abstract

As the degree of informatization in the financial industry continues to deepen, Internet technology is playing an increasingly important role in the collection and analysis of financial data. The use of Internet technology makes it possible to collect large-scale data and accurately analyze data. The large-capacity financial database puts forward higher requirements on the efficiency and accuracy of data analysis tools. As a new type of computer language, Python language can better complete the sniffing and collection of Internet resources, so that it can become an important tool for financial data collection and analysis. With the continuous development of science and technology, Python technology also has certain risks and problems. This article aims to analyze the key applications of Python in financial data analysis, and how to do a quantitative analysis of risks based on Python.