. . .more on Formulas 

See Also...
   ...Linear Regression
   ...Linear Regression Forecast / Bands
   ...Linear Regression Slope

. . . more on Charts 

Above is a Daily Candlestick Chart of an Intel Corporation (INTC).  The Linear Regression Acceleration (LRA) is drawn in histogram form in the lower chart pane.  The LRA oscillates about the zero line.

. . . more on Preferences 

• Price - Price data to be used in computation.

• MA Type - Type of smoothing to be applied prior to regression.

• MA Period - Smoothing period to be used prior to regression.

• Regression Period - Number of bars to be used in computing the regression line.

• x 100 / Price (Normalize) - Option to normalize the resulting acceleration value.  More details on normalization can be found in the description below.

• Histogram Color - Color of the resulting histogram in the chart.  Up bars will be drawn in the first (Up) color, down bars will be drawn in the second (Dn) color.

If the "x 100 / Price (Normalize)" options is checked, then the resulting value will be the change in normalized slope per bar.  This normalizes the data for the sake of comparison among instruments that trade in different price ranges.  If you are interested in using this study to compare acceleration between instruments, it's important that this normalizing option be used.  The difference between the normalized acceleration and the raw acceleration is similar to the difference between percent change (normalized), and change(unnormalized).  If you're comparing two instruments, one that's trading at 200 and another that's trading at 10, then it's not fair to compare the change in price, although the normalized value of percent change does give us a fair basis of comparison.

The normalized acceleration value essentially gives us the change is the normalized slope of the regression (best fit) line, from bar to bar.  If the normalized acceleration is 0.10, then the regression line normalized slope is rising at a rate of 0.10 per bar.  Similarly, a normalized acceleration of -0.25 would indicator that the normalized slope of line that best fits the last N bars of data is falling at the rate o 0.25 per bar.  For example, if the normalized slope of the last bar was 0.25 (meaning the regression line ending on that bar rises at a rate of 0.25% per bar on average), and the normalized slope of the current bar was 0.27, then the normalized acceleration of the current bar would 0.27 - 0.25 = 0.02.  A positive acceleration value does not equate to a positive slope, simply to an increasing slope.  Similarly, a negative acceleration equates to a decreasing slope.