结果发现随机行走价格样本函数中阶段性趋势普遍存在，移动平均线法对每一模拟样本函数均能获得高额回报。
The results are: it is very common that there are trends in Monte Carlo random walk we can get excessive return with moving average method.
随机介质理论可以很好地反映崩落法放矿的矿岩移动规律。
The stochastic medium theory of ore-drawing can properly reflect the movements of ore and rock masses for caving system.
结论移动平均比率法综合考虑长期、季节、周期及随机趋势，预测效果较好。
Conclusions Moving seasonal mean ratio method could consider secular, seasonal, cyclic and random tendencies of time-series data together and could serve as a useful tool for prediction.
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