我们通过历史数据搜寻不被认为是随机变动的异常现象。我们的目的是要随着时间变化分析数据和市场做统计学意义和一致性测试。一旦我们找到一个，我们会随着时间推移测试它的一致性和统计学意义。我们确定它的有效性后，会问，“这符合某些方面似乎合理的行为吗？——西蒙斯的方法论。
We search through historical data looking for anomalous patterns that we would not expect to occur at random. Our scheme is to analyze data and markets to test for statistical significance and consistency over time. Once we find one， we test it for statistical significance and consistency over time. After we determine its validity， weask， ‘Does this correspond to some aspect of behavior that seems reasonable？’
解释：酸味食物走筋脉，但过量食用会导致小便不畅，说明饮食需适量。
The more you give, the more you get.