| Financial Time Series Toolbox | |
Syntax
wcls = wclose(highp, lowp, closep) wcls = wclose([highp lowp closep]) wclsts = wclose(tsobj) wclsts = wclose(tsobj, ParameterName, ParameterValue, ...)
Arguments
highp |
High price (vector) |
lowp |
Low price (vector) |
|
Closing price (vector) |
tsobj |
Financial time series object |
Description
The weighted close price is the average of twice the closing price plus the high and low prices.
wcls = wclose(highp, lowp, closep)
calculates the weighted close prices wcls based on the high (highp), low (lowp), and closing (closep) prices per period.
wcls = wclose([highp lowp closep])
accepts a three-column matrix consisting of the high, low, and closing prices, in that order.
wclsts = wclose(tsobj)
computes the weighted close prices 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. wclsts is a financial time series object of the same dates as tsobj and contains the data series named WClose.
wclsts = wclose(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.
Examples
Compute the weighted closing prices for Disney stock and plot the results:
load disney.mat dis_Wclose = wclose(dis) plot(dis_Wclose) title('Weighted Closing Prices for Disney')
See Also
Reference
Achelis, Steven B., Technical Analysis from A To Z, Second printing, McGraw-Hill, 1995, pp. 312 - 313.
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