In finance, the frequency decomposition of time series data is a crucial tool for identifying cyclic patterns in past price data. By analyzing these periodic fluctuations, we can gain valuable insights into the behavior of financial markets. This technique allows us to uncover hidden trends and anticipate future movements, making it an essential concept for any financial analyst. By understanding the frequency decomposition, we can better comprehend the complex nature of financial markets and make more informed investment decisions.
