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LinearRegressionSlope

Linear regression is a common statistical method used to forecast values using least squares fit. The Slope shows how much prices are expected to change per unit of time. Slope gives you the general direction of the trend (positive or negative), r-squared gives you the strength of the trend. A high r-squared value can be associated with a high positive or negative Slope.

When the Slope of the trend first becomes significantly positive, It could open a long position. It could be sold , or open a short position when the Slope first becomes significantly negative.It can  be

even consider opening a short-term position opposite the prevailing trend when it is   observed that  the Slope rounding off at extreme levels.

The Linear Regression Slope indicator provides the slope at each bar of theoretical regression lines, which involve that bar and the previous N-1 bars (N being the regression period). 

The data, based on the price selected, is smoothed using the moving average period and type.  The resulting data is then used to form regression lines ending at each bar, using the regression period specified.  The slope of each bars regression line is the recorded as the linear regression slope value for that bar.

The Slope shows how much prices are expected to change per unit of time. It gives the general direction of the trend (positive or negative)

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