When you aggregate your data, you are changing the number of data points that HTM sees. In some cases, aggregating your data may cause you to miss anomalies and in other cases, it may help you find anomalies by tuning out noise. The goal is to aggregate your data as much as possible but not too much. You can experiment with different aggregation windows in HTM Studio to see how it changes your results. To see an example, click here.