Analysis of international stock data based on python

Abstract

With the continuous development of computers, the gradual opening of the financial market, and China's increasing investment in scientific and technological innovation, artificial intelligence and big data analysis and other technologies have begun to be used in various financial industries such as the stock and bond market. This paper analyzes the correlation of stock indexes in Istanbul and other countries through python data analysis, and finds that the stock markets in various countries have relatively large correlation. The regression prediction analysis of Istanbul stock data is carried out, and three models of linear regression, ridge regression and gradient regression are constructed for prediction, and the performance comparison is made.