GMMA

0th

Percentile

Guppy Multiple Moving Averages

Calculate the Guppy Multiple Moving Average of a series.

Keywords
ts
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.

  2. A list with the first component like (1) above, and additional parameters specified as named components. See Examples.

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.

Value

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

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.

Aliases
  • GMMA
  • Guppy
  • guppy
Examples
library(TTR) # NOT RUN { data(ttrc) gmma <- GMMA(ttrc[,"Close"]) # }
Documentation reproduced from package TTR, version 0.23-1, License: GPL-2

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