Time series analysis in Forex involves examining historical price data to identify patterns and trends. Techniques include: - Autocorrelation and partial autocorrelation analysis - ARIMA and SARIMA modeling - Exponential smoothing and Holt-Winters methods - Fourier analysis and spectral density estimation These methods help traders: - Identify trends and seasonality - Forecast future price movements - Develop and optimize trading strategies - Evaluate trading performance By applying time series analysis, Forex traders can gain insights into market behavior and make more informed trading decisions.