# Documentation

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# willad

Williams Accumulation/Distribution line

## Syntax

wadl = willad(highp, lowp, closep)
wadl = willad([highp lowp closep])
wadlts = willad(tsobj)
wadlts = willad(tsobj, 'ParameterName', ParameterValue, ...)

## Arguments

 highp High price (vector) lowp Low price (vector) closep Closing price (vector) tsobj Time series object

## Description

wadl = willad(highp, lowp, closep) computes the Williams Accumulation/Distribution line for a set of stock price data. The prices needed for this function are the high (highp), low (lowp), and closing (closep) prices. All three are required.

wadl = willad([highp lowp closep]) accepts a three-column matrix of prices as input. The first column contains the high prices, the second contains the low prices, and the third contains the closing prices.

wadlts = willad(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 needed for this function. The function assumes that the series are named High, Low, and Close. All three are required. wadlts is a financial time series object with the same dates as tsobj and a single data series named WillAD.

wadlts = willad(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

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

## Examples

collapse all

This example shows how to compute the Williams A/D line for Disney stock and plot the results.

load disney.mat
dis_Willad = willad(dis);
plot(dis_Willad)
title('Williams A/D Line for Disney')

## References

Achelis, Steven B. Technical Analysis from A to Z. Second Edition. McGraw-Hill, 1995, pp. 314–315.

## See Also

#### Introduced before R2006a

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