Founded in September 2017, the Financial Mathematics Lab consists of nearly 60 high-performance computers and servers.  The Lab is equipped with a variety of statistical and computational softwares, including Matlab, Anaconda, Octave, R, Python, etc., for processing, analyzing, mining financial big data and financial modeling. The lab is also equipped with Wind Financial Data Terminal, which allows us to obtain complete and accurate domestic financial and economic data, including stocks, funds, bonds, foreign exchange, insurance, futures, financial derivatives, spot trading, macroeconomic, financial news and other fields.