similar to: abline(h=whatever) not working in candleChart() (in quantmod)?

Hi, I have been using R for over a year now. I am a very happy user. Thank you for making this happen. This is my first question to this list. I trying to add some functions to quantmod that would enable me to draw arbitrary lines and text and make sure they are redrawn. I have created following function: require(quantmod) # Add horizontal line to graph produced by quantmod::chart_Series()

Hi all, I'm a newbie to R and it has been very helpful to use your website. Unfortunately I've been struggling with my code now for two days so I wanted to ask few questions. I've been trying to create nice graphs to put into a pdf sheet but I'm having little problems with all the packages I've been using. So what I want to accomplish is create one pdf sheet with three graphs

Hello, I'm trying to do two things: -1. Ensure that I understand how quantmod adjust's OHLC data -2. Determine how I ought to adjust my data. My overarching-goal is to adjust my OHLC data appropriately to minimize the difference between my backtest returns, and the returns I would get if I was trading for real (which I'll be doing shortly). Background: -1. I'm using Alpha

Hi all, I have this code I want to add two ablines like this abline(h=2400, lty=3, col="lightgrey") abline(h=400, lty=3, col="lightgrey") But doesnt wotk. I alo try to set ylim from 0 to max "Foa"+1000 but I?m not able ?Is it posible? require(latticeExtra) require(ggplot2) require(reshape2) suppressPackageStartupMessages(require(googleVis)) require(quantmod)

Dear R Helpers, I am still having trouble with the getOptionChain command in quantmod. I have the latest version of quantmod, etc. so I was under the impression that the problem was solved with updates to the package. If someone could let me know what I need to install in order to make this work, I would really appreciate it. My error message as session info are shown below. Thanks a bunch.

Hi, I work with SEXP C code and with xts and quantmod packages. I try to touch how xts internal works. So we have R session and: > ls() character(0) > getSymbols('AAPL') # quantmod package [1] "AAPL" > ls() [1] "AAPL" > str(AAPL) An ?xts? object from 2007-01-03 to 2010-09-09 containing: Data: num [1:929, 1:6] 86.3 84 85.8 86 86.5 ... - attr(*,

i am using quantmod package.it get stock quotes from google finanace. but unfortunately i am not able to get the quotations of some stocks(e.g. NSE:TCS,NSE:SAIL ) through the "getSymbol" command of this package although they are available in the google finance website. anyone please help me. thanks in advance..... -- View this message in context:

Dear R Helpers, I have run into a problem trying to perform a number of actions on a set of quantmod data objects through a loop and I am hoping that this is an easy problem for someone else as opposed to very difficult for me. The example task is to get the first three objects of the quarterly balance sheet for a number of companies from the getFinancials object and put them together into a

Hi Dirk, Thanks for your note. I understand that expiry dates are the dates that the option expires, so I don't think that I am confused about that (although the upper limits of one's confusion is difficult to accurately estimate). My lack of clarity come from treating those "dates" as actual dates as opposed to strings, which one could reasonably interpret them to be from

On 5 March 2018 at 03:13, Sparks, John wrote: | library(quantmod) | #in fairness, I did not include this last time and my example was therefore not reproducible. Apologies to Bert and everyone else #for not following the posting guidelines. | aapl_total<-getOptionChain("AAPL", NULL)> | | How could I then get the subset of the entire list which only has expiry dates in 2019, or

Hi R Helpers, Is it possible to interpret the top level of the list as a date after downloading all the option chain data for a ticker? For example, after I run aapl_total<-getOptionChain("AAPL", NULL) the top descriptor of the lists is a date (Mar.09.2018, Mar.23.2018, etc.). So if want to subset down to those parts of the list that correspond to say, (expiration)

Package? Quantmod. In the subject line. I agree that they look like dates, I don't know how to determine if they are actually dates. Josh Ulrich usually answers questions along these lines very informatively and quickly. One reasonable course of action is to wait to see if he does the same with this one. --JJS ________________________________ From: Bert Gunter <bgunter.4567 at

Package? The **names** of the top levels of your lists, "Mar.09.2018", "Mar.23.2018" certainly look like dates and if they are -- I have no idea what package/context is -- they certainly could be formatted as such. See e.g. "date-time" . There are also several package that provide date tools. Cheers, Bert Bert Gunter "The trouble with having an open mind is

On 5 March 2018 at 02:46, Sparks, John wrote: | I agree that they look like dates, I don't know how to determine if they are actually dates. You know options but you are confused about maturity dates, i.e. expiry? In information in that list (ie along the date dimension) is the expiry; at each date you have another list for both puts and calls, and inside each of those a grid given by the

Hi R Helpers, Is it possible to interpret the top level of the list as a date after downloading all the option chain data for a ticker? For example, after I run aapl_total<-getOptionChain("AAPL", NULL) the top descriptor of the lists is a date (Mar.09.2018, Mar.23.2018, etc.). So if want to subset down to those parts of the list that correspond to say, (expiration)

Thanks, Writing plot(addTA()) worked fine. I find myself with such mixed feelings about R. After finding that addTA worked fine at the command line but not in a function, I puzzled for a long time about what kind of virtual machine structure could possibly account for that. I couldn't think of any. It turns out that this isn't due to an R virtual machine structure. The reason addTA adds

Hi, I'm having trouble with quantmod's addTA plotting functions. They seem to work fine when run from the command line. But when run inside a function, only the last one run is visible. Here's an example. test.addTA <- function(from = "2010-06-01") { getSymbols("^GSPC", from = from) GSPC.close <- GSPC[,"GSPC.Close"] GSPC.EMA.3

Hello, all... I've been playing with the TTR package and quantmod, and I'm loading the Chicago Board of Exchange put/call ratio data via a simple read.csv call... CBOEtotal<-read.csv(file=" http://www.cboe.com/publish/ScheduledTask/MktData/datahouse/totalpc.csv ",skip=1) this gives me a data frame with columns.... > names(CBOEtotal) [1] "Trade_date"

On 04/06/2016 07:58 PM, Joshua Ulrich wrote: > On Tue, Apr 5, 2016 at 9:17 PM, James Hirschorn > <james.hirschorn at hotmail.com> wrote: >> OpCl works on xts objects but not on quantmod.OHLC objects. Is this a bug? >> > Thanks for the minimal, reproducible example. > > Looks like a bug. There's no as.quantmod.OHLC.xts method, so the zoo > method is

Hi, I'm new to R and Quantmod. I'm trying to make use of Quantmod's features however I'm failing at the first hurdle and I'm finding most R documentation a little cryptic. I have some minutely data for the same day for a stock in an existing timeSeries (ts) object. For example: Date time price volume 2012-03-12 08:01 45.01 10000 2012-03-12 08:02