  This paper reports the effort of using agent-based mix-game model to predict
financial time series. It introduces simple generic algorithm into the
prediction methodology, and gives an example of its application to forecasting
Shanghai Index. The results show that this prediction methodology is effective
and agent-based mix-game model is a potential good model to predict time series
of financial markets
