rCumSum: Plot cummulative returns

In highfrequency: Tools for Highfrequency Data Analysis

Description

Plots cummulative returns at a certain alignment given a return series.

Usage

rCumSum(x, period = 1, align.by="seconds",align.period = 1, 
  plotit = FALSE, type = "l", cts = TRUE, makeReturns = FALSE)

Arguments

x	Tick data in xts object.
period	Sampling period
align.by	Align the tick data to seconds|minutes|hours
align.period	Align the returns to this period first
plotit	T for plot
type	Line or points
cts	Create calendar time sampling if a non realizedObject is passed
makeReturns	Prices are passed make them into log returns

Value

Cummulative return vector if plotit = F

Author(s)

Scott Payseur <[e-mail]>

Examples

data(sbux.xts)

cumm <- list() 
cumm[[1]] <- rCumSum(sbux.xts, period=1, align.by="seconds", align.period=60) 
cumm[[2]] <- rCumSum(sbux.xts, period=10, align.by="seconds", align.period=60) 
cumm[[3]] <- rCumSum(sbux.xts, period=20, align.by="seconds", align.period=60) 
cumm[[4]] <- rCumSum(sbux.xts, period=30, align.by="seconds", align.period=60) 
plot(cumm[[1]], xlab="", ylab="Cumulative Ruturns", main="Starbucks (SBUX)", 
   sub='20110701', type="p", col=16, lwd=2) 
lines(cumm[[2]], col=2, lwd=2) 
lines(cumm[[3]], col=3, lwd=2) 
lines(cumm[[4]], col=4, lwd=2)

Example output

Loading required package: xts
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 
xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 
xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 
xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 
xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 
xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 
xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 
xts -> realizedObject [2010-07-01 13:30:00 :: 2010-07-01 20:00:00] 

highfrequency documentation built on May 2, 2019, 6:09 p.m.