Price action is often noisy, meaning that it contains a lot of irrelevant or distracting information that can make it difficult to identify meaningful patterns or trends. By using a band-limiting filter, traders can remove some of the noise from the price data, making it easier to identify significant movements in the market. For example, a low-pass filter can be used to smooth out the price data and remove high-frequency noise, while a high-pass filter can be used to remove low-frequency trends and identify shorter-term movements in the market. Band-limiting filters can be used to extract specific types of trading information from the price data. For example, if a trader is interested in identifying short-term trends in the market, they can use a band-pass filter to isolate the high-frequency components of the price data, which are typically associated with short-term movements. Alternatively, if a trader is interested in identifying longer-term trends, they can use a low-pass filter to isolate the low-frequency components of the price data, which are typically associated with longer-term movements.