The paper constructs a fuzzy learning classifier system(FLCS) which performs decision-making,learning,and evolving of agents in artificial stock markets.On the basis of FLCS,an artificial stock market model is developed,validated and calibrated,and it is applied in an empirical case.The results of simulation show that there are complicated relations between "block-selling" and volatility of stock price.And farther analysis of simulation data draws shows that the "selling-forbidden" policy in Chi...