# willpctr

Using a fints object for the Data argument of willpctr is not recommended. Use a matrix, timetable, or table instead for financial time series. For more information, see Convert Financial Time Series Objects fints to Timetables.

## Description

example

PercentR = willpctr(Data) calculates the Williams PercentR (%R) values for a data series of with high, low, and closing prices.

example

PercentR = willpctr(___,Name,Value) adds optional name-value pair arguments.

## Examples

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Load the file SimulatedStock.mat, which provides a timetable (TMW) for financial data for TMW stock.

PercentR = willpctr(TMW);
plot(PercentR.Time,PercentR.WillPercentR)
title('Williams %R for TMW')

## Input Arguments

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Data with high, low, open, close information, specified as a matrix, table, or timetable. For matrix input, Data is an M-by-3 with high, low, and closing prices stored in the corresponding columns. Timetables and tables with M rows must contain variables named 'High', 'Low', and 'Close' (case insensitive).

Data Types: double | table | timetable

### Name-Value Arguments

Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Before R2021a, use commas to separate each name and value, and enclose Name in quotes.

Example: PercentR = willpctr(TMW,'NumPeriods',15)

Moving window for Williams PercentR, specified as the comma-separated pair consisting of 'NumPeriods' and a scalar positive integer.

Data Types: double

## Output Arguments

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Williams PercentR series, returned with the same number of rows (M) and the same type (matrix, table, or timetable) as the input Data.

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### Williams %R

Williams %R shows the current closing price in relation to the high and low of the past n days.

By default, Williams %R values are based on 14 periods.

## References

[1] Achelis, S. B. Technical Analysis from A to Z. Second Edition. McGraw-Hill, 1995, pp. 316–317.

## Version History

Introduced before R2006a

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