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TTR (version 0.2)

GMMA: Guppy Multiple Moving Averages

Description

Calculate the Guppy Multiple Moving Average of a series.

Usage

GMMA(x, short=c(3,5,8,10,12,15),
         long=c(30,35,40,45,50,60), maType)

Arguments

x
Price, volume, etc. series that is coercible to xts or matrix.
short
Vector of short-term periods.
long
Vector of long-term periods.
maType
Either: (1) A function or a string naming the function to be called, or (2) a list with the first component like (1) above, and additional parameters specified as named components. See Examples.

Value

  • A object of the same class as x or price or a vector (if try.xts fails) containing the Guppy Multiple Moving Average.

Details

The Guppy Multiple Moving Average signals a changing trend when the short and long groups of moving averages intersect. An up/down trend exists when the short/long-term moving averages are greater than the long/short-term averages.

References

The following site(s) were used to code/document this indicator: http://www.investopedia.com/terms/g/guppy-multiple-moving-average.asp

See Also

See aroon, CCI, ADX, VHF, TDI for other indicators that measure trend direction/strength.

Examples

Run this code
data(ttrc)
  gmma <- GMMA(ttrc[,"Close"])

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