Abstract: The paper has studied the statistical characteristics of reward time series, and found abnormality and dependency of futures reward with a thick tail distribution compared with that of normal one. In general a big functionation of futures reward immediately followed by a big one, and a little fluctuation followed by a little one, the variance changes over time. The study also has found that traditional AR model cannot fully describe the characteristics of futures reward time series while AR+ARCH can do better.