Using Python to Analyze Financial Big Data

Abstract

As technology and the internet develop, more data are generated every day. These data are in large sizes, high dimensions, and complex structures. The combination of these three features is the “Big Data” ^[1]. Big data is revolutionizing all industries, bringing colossal impacts to them ^[2]. Many researchers have pointed out the huge impact that big data can have on our daily lives ^[3]. We can utilize the information we obtain and help us make decisions. Also, the conclusions we drew from the big data we analyzed can be used as a prediction for the future, helping us to make more accurate and benign decisions earlier than others. If we apply these technics in finance, for example, in stock, we can get detailed information for stocks. Moreover, we can use the analyzed data to predict certain stocks. This can help people decide whether to buy a stock or not by providing predicted data for people at a certain convincing level, helping to protect them from potential losses.