Time Series Forecast

TSF, the Time Series Forecast indicator, consists of linear regression measurements using the Least Squares method. Linear regression is a statistical tool for forecasting future market values comparing to past values. TSF tries to forecast the following market value. For that purpose it defines the trend's upward or downward declivity and stretches those results into the future. For instance, when prices are moving upwards, TSF tries to define the upward declivity of the price compared to the ongoing price and stretch that calculation forward.

How to interpret price trends using the Time Series Forecast:

The trend is considered down when the market price falls below the indicator, the Trend is considered up when the market price rises over the indicator. Besides, a lot of analysts think that once prices shift above or fall below the indicator line; prices will likely move back to the line. The TSF indicator also defines if a change in direction happened monitoring the ongoing trend.

This indicator falls under the Averages category of Chart indicators.