The housing problem is related to the vital interests of the people and the construction of a harmonious society. Housing consumption has become a new driving force to expand domestic demand. At the same time, the development of the real estate industry affects the normal operation of the whole national economy. However, in recent years, real estate prices in China have risen rapidly, and house prices in some areas have continued to soar, which greatly exceeds the overall level of economic growth and the rise of products and services in other industries. The trend of excessive growth of house prices has greatly affected the quality of life of urban residents, and it is also a key factor related to the continued and steady development of the whole national economy. The problem of house prices has become a major concern economic and social problems.There are many factors that affect the price of real estate. Based on the relevant theory of real estate price, this paper makes an in-depth analysis on the formation and influencing factors of real estate demand, supply and real estate price. Secondly, this paper takes the residential real estate price as the research object. Based on the real estate statistical data, using multiple regression analysis model and cobweb model, this paper gradually empirically analyzes the main influencing factors of real estate price fluctuation.It also analyzes to what extent these factors can explain the changes of real estate prices, and forecasts and estimates the nominal price and actual price trend of real estate housing in China, so as to be able to accurately predict the trend of real estate.