# Documentation

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# wclose

Weighted close

## 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). `closep` 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 character vectors that represent the valid parameter names.

## Examples

collapse all

This example shows how to 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')```

## References

Achelis, Steven B. Technical Analysis from A to Z. Second Edition. McGraw-Hill, 1995, pp. 312–313.

## See Also

### Topics

#### Introduced before R2006a

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