基于对数周期幂律奇异性模型的个股价格走势分析

intercepted a complete cycle of bubbles from formation to rupture. And this paper used the log-periodic

power-law singularity model to fit the data and predict the time of bubble rupturing. From the empirical

results, it is concluded that the stock price obeys log-periodic power law distributioAnalysis of Stock

Price Trends Based on LPPLS Modeln in the entire bubble period. And the exponential oscillation

frequency increases with the time approaching the critical point. When the stock market system itself

runs to a critical state, there is a very strong positive feedback in the system. The investors imitate each

other to make decisions performing a buying operation, which performance is in a short period of time

to accelerate the rise in the stock price. At this point, once a large amount of money leaves from the

market, investors will imitate each other again to sell shares in panic, which will cause the stock price

plunged and the bubble burst. Otherwise, for one stock, the accumulation of bubbles is often