Hi, I was hoping somebody might be a regular user of this package to
interact with Bloomberg terminal. I've been having an issue pulling
historical data, it seems to cut off at a seemingly arbitrary point --
library(rRblpapi)
library(dplyr)
library(purrr)
library(lubridate)
library(magrittr)
striplist <- c("NGK7","NGM7", "NGN7","NGQ7", "NGU7","NGV7","NGX7")
striplist <- paste(striplist, "Comdty")
df <- striplist %>%
map(~ getBars(., barInterval = 60 *24,startTime =
floor_date(Sys.time(),"day") - days(300))) %>%
map(~select(., times, close))
names(df) <- striplist
this should be producing close data for 300 days, yet you will see that the
data only goes back 140.
Anybody run into this before, should I have expected this?
Thanks,
Jon
Rblpapi package data limits?
6 messages · Brian G. Peterson, Jon Golenbock, Whit Armstrong +1 more
On Wed, 2017-04-05 at 08:54 -0400, Jon Golenbock wrote:
Hi, I was hoping somebody might be a regular user of this package to
interact with Bloomberg terminal. I've been having an issue pulling
historical data, it seems to cut off at a seemingly arbitrary point
--
library(rRblpapi)
library(dplyr)
library(purrr)
library(lubridate)
library(magrittr)
striplist <- c("NGK7","NGM7", "NGN7","NGQ7", "NGU7","NGV7","NGX7")
striplist <- paste(striplist, "Comdty")
df <- striplist %>%
? map(~ getBars(., barInterval = 60 *24,startTime =
floor_date(Sys.time(),"day") - days(300))) %>%
? map(~select(., times, close))
names(df) <- striplist
Many people do not use the 'tidyverse', especially in finance where data is often very large and ultimately needs to be a 'wide' time series and one tends to do more matrix math than factor munging. Please create a *minimal* reproducible example using *just* the Rblpapi package. It will make it easier for others to help you.
this should be producing close data for 300 days, yet you will see that the data only goes back 140. Anybody run into this before, should I have expected this? Thanks, Jon
Sorry!
getBars("NGX7 Comdty",barInterval = 60 *24,startTime =
as.POSIXct('2015-04-01'))
data only goes back to 9/20/16 for me. When I look up the ticker on the
terminal, i get data back to 2/19/2008.
On Wed, Apr 5, 2017 at 9:03 AM, Brian G. Peterson <brian at braverock.com>
wrote:
On Wed, 2017-04-05 at 08:54 -0400, Jon Golenbock wrote:
Hi, I was hoping somebody might be a regular user of this package to
interact with Bloomberg terminal. I've been having an issue pulling
historical data, it seems to cut off at a seemingly arbitrary point
--
library(rRblpapi)
library(dplyr)
library(purrr)
library(lubridate)
library(magrittr)
striplist <- c("NGK7","NGM7", "NGN7","NGQ7", "NGU7","NGV7","NGX7")
striplist <- paste(striplist, "Comdty")
df <- striplist %>%
map(~ getBars(., barInterval = 60 *24,startTime =
floor_date(Sys.time(),"day") - days(300))) %>%
map(~select(., times, close))
names(df) <- striplist
Many people do not use the 'tidyverse', especially in finance where data is often very large and ultimately needs to be a 'wide' time series and one tends to do more matrix math than factor munging. Please create a *minimal* reproducible example using *just* the Rblpapi package. It will make it easier for others to help you.
this should be producing close data for 300 days, yet you will see that the data only goes back 140. Anybody run into this before, should I have expected this? Thanks, Jon
talk to your rep or helpdesk... you or your employer has paid a lot of money for that privilege. as far as I know, they limit bar data to a very short lookback. if you're pulling daily data, you can pull the full history, however, you'll have to use the tickers with two digit years, as the commodity tickers will repeat. or use the rolling tickers. -Whit On Wed, Apr 5, 2017 at 9:10 AM, Jon Golenbock <jongolenbock at gmail.com> wrote:
Sorry!
getBars("NGX7 Comdty",barInterval = 60 *24,startTime =
as.POSIXct('2015-04-01'))
data only goes back to 9/20/16 for me. When I look up the ticker on the
terminal, i get data back to 2/19/2008.
On Wed, Apr 5, 2017 at 9:03 AM, Brian G. Peterson <brian at braverock.com>
wrote:
On Wed, 2017-04-05 at 08:54 -0400, Jon Golenbock wrote:
Hi, I was hoping somebody might be a regular user of this package to
interact with Bloomberg terminal. I've been having an issue pulling
historical data, it seems to cut off at a seemingly arbitrary point
--
library(rRblpapi)
library(dplyr)
library(purrr)
library(lubridate)
library(magrittr)
striplist <- c("NGK7","NGM7", "NGN7","NGQ7", "NGU7","NGV7","NGX7")
striplist <- paste(striplist, "Comdty")
df <- striplist %>%
map(~ getBars(., barInterval = 60 *24,startTime =
floor_date(Sys.time(),"day") - days(300))) %>%
map(~select(., times, close))
names(df) <- striplist
Many people do not use the 'tidyverse', especially in finance where data is often very large and ultimately needs to be a 'wide' time series and one tends to do more matrix math than factor munging. Please create a *minimal* reproducible example using *just* the Rblpapi package. It will make it easier for others to help you.
this should be producing close data for 300 days, yet you will see that the data only goes back 140. Anybody run into this before, should I have expected this? Thanks, Jon
[[alternative HTML version deleted]]
_______________________________________________ R-SIG-Finance at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance -- Subscriber-posting only. If you want to post, subscribe first. -- Also note that this is not the r-help list where general R questions should go.
bloomberg doesn't store intraday data more than 140 days. the result is the same for any API you use to access the data Sent from my iPhone
On Apr 5, 2017, at 14:54, Jon Golenbock <jongolenbock at gmail.com> wrote:
Hi, I was hoping somebody might be a regular user of this package to
interact with Bloomberg terminal. I've been having an issue pulling
historical data, it seems to cut off at a seemingly arbitrary point --
library(rRblpapi)
library(dplyr)
library(purrr)
library(lubridate)
library(magrittr)
striplist <- c("NGK7","NGM7", "NGN7","NGQ7", "NGU7","NGV7","NGX7")
striplist <- paste(striplist, "Comdty")
df <- striplist %>%
map(~ getBars(., barInterval = 60 *24,startTime =
floor_date(Sys.time(),"day") - days(300))) %>%
map(~select(., times, close))
names(df) <- striplist
this should be producing close data for 300 days, yet you will see that the
data only goes back 140.
Anybody run into this before, should I have expected this?
Thanks,
Jon
[[alternative HTML version deleted]]
_______________________________________________ R-SIG-Finance at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance -- Subscriber-posting only. If you want to post, subscribe first. -- Also note that this is not the r-help list where general R questions should go.
a-ha. Thank you.
for anyone interested I used bdh to get what I was after --
bdh("NGX7 Comdty", c("Open","High","Low","PX_Last"),start.date = Sys.Date()
- days(300))
On Wed, Apr 5, 2017 at 9:29 AM, <chidley.ryan at gmail.com> wrote:
bloomberg doesn't store intraday data more than 140 days. the result is the same for any API you use to access the data Sent from my iPhone
On Apr 5, 2017, at 14:54, Jon Golenbock <jongolenbock at gmail.com> wrote:
Hi, I was hoping somebody might be a regular user of this package to
interact with Bloomberg terminal. I've been having an issue pulling
historical data, it seems to cut off at a seemingly arbitrary point --
library(rRblpapi)
library(dplyr)
library(purrr)
library(lubridate)
library(magrittr)
striplist <- c("NGK7","NGM7", "NGN7","NGQ7", "NGU7","NGV7","NGX7")
striplist <- paste(striplist, "Comdty")
df <- striplist %>%
map(~ getBars(., barInterval = 60 *24,startTime =
floor_date(Sys.time(),"day") - days(300))) %>%
map(~select(., times, close))
names(df) <- striplist
this should be producing close data for 300 days, yet you will see that
the
data only goes back 140. Anybody run into this before, should I have expected this? Thanks, Jon [[alternative HTML version deleted]]
_______________________________________________ R-SIG-Finance at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance -- Subscriber-posting only. If you want to post, subscribe first. -- Also note that this is not the r-help list where general R questions
should go.