Notice of Retraction Research on learning behavior of traders in artificial stock market based on genetic algorithm

In this paper, one kind of artificial stock market which based on genetic algorithm is built. By using statistic theories and methods, learning behavior of traders in this market is researched. In order to survive in the stock market, traders should learn from each other as new information becoming available and adapt their behavior accordingly over time. It is the interacting of the adaptive traders causing the complexity of stock market and the abnormal phenomena of the market. Therefore, the conclusions based on this study have the theoretical and realistic significance.