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Accumulation/Distribution line


adln = adline(highp,lowp,closep,tvolume)
adln = adline([highp lowp closep tvolume])
adlnts = adline(tsobj)
adlnts = adline(tsobj,'ParameterName',ParameterValue, ...)



High price (vector)


Low price (vector)


Closing price (vector)


Volume traded (vector)


Time series object


adln = adline(highp,lowp,closep,tvolume) computes the Accumulation/Distribution line for a set of stock price and volume traded data. The prices required for this function are the high (highp), low (lowp), and closing (closep) prices.

adln = adline([highp lowp closep tvolume]) accepts a four-column matrix as input. The first column contains the high prices, the second contains the low prices, the third contains the closing prices, and the fourth contains the volume traded.

adlnts = adline(tsobj) computes the Williams Accumulation/Distribution line for a set of stock price data contained in the financial time series object tsobj. The object must contain the high, low, and closing prices plus the volume traded. The function assumes that the series are named High, Low, Close, and Volume. All are required. adlnts is a financial time series object with the same dates as tsobj but with a single series named ADLine.

adlnts = adline(tsobj,'ParameterName',ParameterValue, ...) accepts parameter name/parameter value pairs as input. These pairs specify the name(s) for the required data series if it is different from the expected default name(s). Valid parameter names are

  • HighName: high prices series name

  • LowName: low prices series name

  • CloseName: closing prices series name

  • VolumeName: volume traded series name

Parameter values are the character vectors that represent the valid parameter names.


collapse all

This example shows how to compute the Accumulation/Distribution line for Disney stock and plot the results.

load disney.mat
dis_ADLine = adline(dis);
title('Accumulation/Distribution Line for Disney')


Achelis, Steven B. Technical Analysis from A to Z. Second Edition. McGraw-Hill, 1995, pp. 56–58.

Introduced before R2006a

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