The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The rtsplot
package is fast time series
plot package with base R Graphics.
The current release is available on CRAN, which you can install via:
install.packages("rtsplot")
To install the development version run following code:
::install_bitbucket("rtsvizteam/rtsplot") remotes
library(quantmod)
= 'AAPL'
symbol = getSymbols(symbol, src = 'yahoo', auto.assign=F)
data
library(rtsplot)
= data['2007::']
y = TTR::SMA(Cl(y), 250)
sma = TTR::RSI(Cl(y), 20)
rsi
# plot candles and volume and table
layout(c(1,1,1,1,2,3))
= rtsplot.colors(2)
cols
rtsplot(y, type = 'l', plotX = F, col=cols[1],lwd=1.5, log='y')
rtsplot.lines(sma, col=cols[2], lwd=1.5)
rtsplot.legend(c(symbol, 'SMA(250)'), cols[1:2], list(y,sma))
= rtsplot.scale.volume(y)
y rtsplot(y, type = 'volume', plotX = F, col = 'darkgray')
rtsplot.legend('Volume', 'darkgray', Vo(y))
# plot rsi
rtsplot(rsi, type = 'l', ylim=c(0,100),
y.highlight = c(c(0,30), c(70,100)),
y.highlight.col = grDevices::adjustcolor(c('green','red'), 50/255)
) rtsplot.legend('RSI(20)', 'black', rsi)
library(rtsplot)
# 'skip.breaks' example with daily data
= rtsplot.fake.stock.data(10, remove.non.trading = TRUE)
y
layout(1:2)
rtsplot(y, type='b')
rtsplot.legend('skip.breaks=FALSE', text.col='red')
rtsplot(y, type='b', skip.breaks=TRUE)
rtsplot.legend('skip.breaks=TRUE', text.col='red')
# 'skip.breaks' example with intra-day data
= rtsplot.fake.stock.data(5*24*60, period = 'minute', remove.non.trading = TRUE)
y
layout(1:2)
rtsplot(y, type='l')
rtsplot.legend('skip.breaks=FALSE', text.col='red')
rtsplot(y, type='l', skip.breaks=TRUE)
rtsplot.legend('skip.breaks=TRUE', text.col='red')
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.