Abstract: In recent years, house prices in China’s firsttier and secondtier cities have continued to rise, and houses have become a hot topic of discussion in daily life, we have to guess the future trend of housing prices. In this paper, we take up the average price of secondhand housing in Guangzhou and Shenzhen since 2013 from a domestic wellknown largescale real estate websites, use the ARIMA model to rollingly forecast the future housing price, and use RMSE to judge the prediction accuracy. The results show that the model can predict the average price of secondhand house continuously, and the prediction accuracy is higher, which can be used as reference for housing traders.

Key words:  ARIMA, housing price, prediction, time series