Financial Toolbox™

willpctr - Williams %R

Syntax

wpctr = willpctr(highp, lowp, closep, nperiods)
wpctr = willpctr([highp, lowp, closep], nperiods)
wpctrts = willpctr(tsobj)
wpctrts = willpctr(tsobj, nperiods)
wpctrts = willpctr(tsobj, nperiods, ParameterName, ParameterValue, 
... )

Arguments

Description

wpctr = willpctr(highp, lowp, closep, nperiods) calculates the Williams %R values for the given set of stock prices for a specified number of periods nperiods. The stock prices needed are the high (highp), low (lowp), and closing (closep) prices. wpctr is a vector that represents the Williams %R values from the stock data.

wpctr = willpctr([highp, lowp, closep], nperiods) accepts the price input as a three-column matrix representing the high, low, and closing prices, in that order.

wpctrts = willpctr(tsobj) calculates the Williams %R values for the financial time series object tsobj. The object must contain at least three data series named High (high prices), Low (low prices), and Close (closing prices). wpctrts is a financial time series object with the same dates as tsobj and a single data series named WillPctR.

wpctrts = willpctr(tsobj, nperiods) calculates the Williams %R values for the financial time series object tsobj for nperiods periods.

wpctrts = willpctr(tsobj, nperiods, 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.

Examples

Compute the Williams %R values for Disney stock and plot the results:

load disney.mat
dis_Wpctr = willpctr(dis)
plot(dis_Wpctr)
title('Williams %R for Disney')

References

Achelis, Steven B., Technical Analysis from A to Z, Second printing, McGraw-Hill, 1995, pp. 316 - 317.

See Also

stochosc, willad

willad

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