Application of Business Analysis in Stock Market Forecasting -Machine Learning in Stock Market Practice

Abstract

With the development of global economic integration, the stock market occupies an important position in the global economy. Accurately predict the stock market is of important social and economic value, the stock market has huge amounts of data sources, such data features to capture the hidden rule of the stock market, and associated accurately predict proposed the new challenge, with the vigorous development of the data mining technology and the data sample is unceasingly rich, The value of data is more fully recognized and more widely concerned, and business data analysis has been gradually applied to stock market forecasting, For example: Machine learning, data mining. This paper studies the business analysis in the era of big data, so that the stock market can get higher economic benefits. For the stock market, machine learning, statistical reasoning and other methods can be used as theoretical research, but the practical application needs to be prepared and improved according to the real market environment.