Stock markets fluctuate a lot and fill with uncertainty. The crucial influences of the stock markets in the economy make researchers pay a large amount of attention to reveal their pattern. This paper will mention a new statistics analysis on the stock markets trend based on clustering. The feature data extracted from the stock’s historical transaction data will be used to do the K-means clustering. For each clustering, it will represent some of the stock drift features. In this paper, Sichuan Languang Dev Stock will be used as an example. According to what mentioned above, the stock will be analysed from the intuitive and clustering aspects. Some stock drift characters that have reference value will be obtained.