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Linear Regression Acceleration Technical Analysis and Signals

Linear Regression Acceleration calculates the change in the regression line's gradient on the current trading price bar from its gradient from the previous trading price bar. The value used in calculating the linear regression is referred to as the normalized acceleration value which is drawn for each trading price bar formed on the price chart.

Linear Regression Acceleration Indicator Analysis

Linear Regression Acceleration

If normalized acceleration is 0.30, then regression line normalized slanting slope will be moving up at a rate of 0.30 per each price bar.

Similarly, a normalized slope of -0.40 would indicate that regression line normalized slope is falling at rate of -0.40 per price bar.

For example, if the current trading price bar normalized slope value is 0.40 & the previous market price bar normalized slope reading is 0.20, then the normalized acceleration of the current market price bar would be calculated as 0.40 - 0.20 = 0.20.

Note: It is important to realize that a positive acceleration value doesn't equate to a positive slope value, it simply means the the slope's gradient is increasing. A negative acceleration value doesn't equate to a negative slope value, it simply means the the slope's gradient is decreasing.

Implementation of Linear Acceleration Regression Trading Indicator

The Linear Regression Acceleration indicator allows for the following; price selection, regression periods, smoothing of raw price before applying the regression & selection of the smoothing type.

The resulting regression slope is displayed as a bi-colored histogram which oscillates above & below 0.

The reference line is set at 0 level mark.

  • A rising upward slope: (greater and higher than its previous value of 1 bar before) is displayed and shown in up slope color.
  • A declining/falling slope: (lower and lesser than its previous value of 1 bar before) is shown using the down slope color.

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