Rblpapi provides R with access to data and calculations from Bloomberg Finance L.P. via the API libraries provided by Bloomberg.
A valid and working Bloomberg installation.
Here are a few simple examples.
library(Rblpapi)
con <- blpConnect() # automatic if option("blpAutoConnect") is TRUE
spx <- bdh(securities = "SPX Index",
fields = "PX_LAST",
start.date = as.Date("2013-03-01"))
spx_ndx <- bdh(securities = c("SPX Index","NDX Index"),
fields = "PX_LAST",
start.date = as.Date("2013-03-01"),
include.non.trading.days = TRUE)
monthly.options <- structure(c("ACTUAL", "MONTHLY"),
names = c("periodicityAdjustment",
"periodicitySelection"))
spx_ndx_monthly <- bdh(securities = c("SPX Index","NDX Index"),
fields = "PX_LAST",
start.date = as.Date("2012-01-01"),
options = monthly.options)
goog_ge_div <- bdh(securities = c("GOOG US Equity","GE US Equity"),
fields = c("PX_LAST","CF_DVD_PAID"),
start.date = as.Date("2012-11-01"))
goog_ge_px <- bdp(securities = c("GOOG US Equity","GE US Equity"),
fields = c("PX_LAST","DS002"))
Fully functional on Windows and Linux (both for x86_64), and macOS (for arm64).
The package is on CRAN and can be installed as usual via
install.packages("Rblpapi")Builds are also available via r-universe and can be installed via
install.packages('Rblpapi', repos = c('https://rblp.r-universe.dev',
'https://cloud.r-project.org'))Interim (source or binary) releases may be also be made available through the ghrr drat repository as well and can be accessed via
install.packages("drat") # easier repo access + creation
drat:::add("ghrr") # make it known
install.packages("Rblpapi") # install itWhit Armstrong, Dirk Eddelbuettel and John Laing
GPL-3 for our code
License.txt for the Bloomberg libraries and headers it relies upon
