find.imppoints_pt: time series extrema using important point algorithm
In diegoperoni/techchart: Package to carry out automated technical charting analysis
Description
Usage
Arguments
Value
Examples
Description
time series extrema using important point algorithm
Usage
1
find.imppoints_pt(x, tolerance_pt = 10)
Arguments
x
xts object or vector, representing a time series
tolerance_pt
threshold for N points
Value
important points data object (object of class imppoints)
Examples
1
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3
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x <- quantmod::getSymbols("^GSPC", auto.assign = FALSE)
x <- x["2015/"]
imppts <- find.imppoints_pt(x,10)
quantmod::chart_Series(x)
points(as.numeric(imppts$maxima$pos),as.numeric(imppts$maxima$value),bg="green",pch=24,cex=1.25)
points(as.numeric(imppts$minima$pos),as.numeric(imppts$minima$value),bg="red",pch=25,cex=1.25)
diegoperoni/techchart documentation built on July 2, 2021, 10:32 p.m.
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Description Usage Arguments Value Examples
Description
time series extrema using important point algorithm
Usage
1 | find.imppoints_pt(x, tolerance_pt = 10)
|
Arguments
x |
xts object or vector, representing a time series |
tolerance_pt |
threshold for N points |
Value
important points data object (object of class imppoints)
Examples
1 2 3 4 5 6 | x <- quantmod::getSymbols("^GSPC", auto.assign = FALSE)
x <- x["2015/"]
imppts <- find.imppoints_pt(x,10)
quantmod::chart_Series(x)
points(as.numeric(imppts$maxima$pos),as.numeric(imppts$maxima$value),bg="green",pch=24,cex=1.25)
points(as.numeric(imppts$minima$pos),as.numeric(imppts$minima$value),bg="red",pch=25,cex=1.25)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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