Williams Accumulation/Distribution line
wadl = willad(highp, lowp, closep) wadl = willad([highp lowp closep]) wadlts = willad(tsobj) wadlts = willad(tsobj, ParameterName, ParameterValue, ...)
High price (vector)
Low price (vector)
Closing price (vector)
Time series object
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 strings that represent the valid parameter names.
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')
Achelis, Steven B., Technical Analysis from A to Z, Second printing, McGraw-Hill, 1995, pp. 314 - 315.