Cellular automata based behavior simulation of stock market investment

The modeling theory and method of cellular automata are applied to the study on the complexity in Stock Market,a cellular automata based evolving model for investment behavior in stock market is formulated. The simulation results and analysis for the variety states of Stock market show that investor's imitation degree and the macro factors are the key factors to the steady of stock market. Thus, more investor's own views and fewer imitations of investors are helpful for the normal development in stock market.