The interpretation of a Time Series Forecast is identical to a moving average. However,
the Time Series Forecast indicator has two advantages over classic moving averages.
Unlike a moving average, a Time Series Forecast does not exhibit as much delay when
adjusting to price changes. Since the indicator is "fitting" itself to the data rather
than averaging them, the Time Series Forecast is more responsive to price changes.
As the name suggests, you can use the Time Series Forecast to forecast the next period's
price. This estimate is based on the trend of the security's prices over the period
specified (e.g., 20 days). If the current trend continues, the value of the Time Series
Forecast is a forecast of the next period's price.