The Hodrick-Prescott Filter (HPF) is a mathematical tool used to smooth out short-term fluctuations in time series data, revealing underlying long-term trends. Developed by economists Robert Hodrick and Edward Prescott, it is widely used in macroeconomics and financial analysis.
In trading, the HPF is applied to financial time series data, such as stock prices, bond yields, or exchange rates. By removing short-term noise, traders can identify long-term trends and make more informed investment decisions. This helps in developing trading strategies that focus on long-term movements rather than short-term volatility.