Time series analysis uses methods to extract meaningful information and statistics about a particular time series. Time series forecasting uses the results of time series analysis to predict future events. For example, a temporal observation set of stock closing prices represents a time series, while time series forecasting is an attempt to predict a future closing price of that stock.