A key factor in analyzing financial data is the number of data points a filter, such as a moving average, tracks in relation to the input price data. This is known as the filter's "lag." A higher lag indicates that the filter is more closely following the price data, while a lower lag means there is a greater time gap between the filter's data points. Understanding the lag of a filter can assist in making informed financial decisions.
