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 to calculate 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
If normalized acceleration is 0.30, then regression line normalized slanting slope will be rising 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 declining 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 gradient of the slope is increasing. A negative acceleration value doesn't equate to a negative slope value, it simply means gradient of slope is decreasing.
Implementation of Linear Acceleration Regression Technical 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 slope: (greater than its previous value of One bar before) is displayed in up slope color.
- A declining slope: (lower than its previous value of One bar before) is shown using the down slope color.
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