similar to: OHLC Plot with EMA in it

I want to create a open/high/low/last plot of intraday data. I try to use the function plotOHLC from the tsteries package. I create my own multiple time series and then try to plot it. raw Data Format (file eurusd2.csv): "Date (GMT)" "Open" "High" "Low" "Last" 17-03-2008 00:00:00 1,5764 1,5766 1,5747 1,5750 17-03-2008 00:05:00 1,5749 1,5750 1,5741

HI, May be this helps: set.seed(24) ?mat1<- matrix(sample(1:60,30*24,replace=TRUE),ncol=24) colnames(mat1)<- rep(c("O","H","L","C"),6) indx<-seq_along(colnames(mat1)) n<- length(unique(colnames(mat1))) ?res<- lapply(split(indx,(indx-1)%%n+1),function(i) mat1[,i]) lapply(res,head,2) #$`1` #????? O? O? O? O? O? O #[1,] 18 56 51 24 24 52 #[2,]

OpCl works on xts objects but not on quantmod.OHLC objects. Is this a bug? Example error: x.Date <- as.Date("2003-02-01") + c(1, 3, 7, 9, 14) - 1 set.seed(1) x <- zoo(matrix(runif(20, 0, 1), nrow=5, ncol=4), x.Date) q <- as.quantmod.OHLC(x,c("Open","High","Low","Close")) # error OpCl(q) #> Error in `colnames<-`(`*tmp*`, value =

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

Here is a relatively simple script (with comments as to the logic interspersed): # Some of these libraries are probably not needed here, but leaving them in place harms nothing: library(tseries) library(xts) library(quantmod) library(fGarch) library(fTrading) library(ggplot2) # Set the working directory, where the data file is located, and read the raw data

Can somebody help me in finding package/Example in R which could do EMA(Exponential Mean Average). I installed "TTR" package but the 'EMA" function which I was trying to use is giving the following error. Error: Could not find function "EMA" Thanks & Regards, Thomas [[alternative HTML version deleted]]

Comparto totalmente la sugerencia de Carlos Ortega. Si aún así quieres gráficos de velas o gráficos OHLC el mejor paquete que puedes usar es uno de temas financieros: http://www.quantmod.com/ Ten en cuenta que en los mercados bursátiles tiene algún sentido usar ese tipo de gráfico ya que en la apertura y mayormente en el cierre diario se concentran operaciones. Me imagino que esto no es así con

v="IBM" library(quantmod) v v1=getSymbols(v) to.yearly(v1) =============================== when i pass the value through a variable in to.yearly() function it shows the error msg like "Error in try.xts(x) : Error in UseMethod("as.xts") : no applicable method for 'as.xts' applied to an object of class "character"" i need the result of OHLC

Hi, I'm currently using EMA package to make clustering and heatmaps. The online doc concerning the package gives the following example code: data(marty) c<-clustering(marty, metric="pearson", method="ward") clustering.plot(c, title="Hierarchical Clustering\nPearson-Ward") which is working perfectly, However, when I'm changing the method to

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

Hi, Just wondering for the SMA and EMA in package TTR, is it possible to me to code it so that, say if I need to calculate SMA (x, n=100), when the sample size is less than 100, it will give me the SMA (x, k) where k is the sample size of the data? Right now it only gives me an invalid n error. Thanks! [[alternative HTML version deleted]]

On Fri, Apr 8, 2016 at 10:51 AM, James Hirschorn <james.hirschorn at hotmail.com> wrote: > > > 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?

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

i am new to the quantmod package . so if the answer is trivial please excuse me. i want to study stock values within a day. i get current stock updates using getQuotes and then want to produce usual quantmod graphs with that values. also the graph should be able of adding technical indicators. please help. in addition it will be helpful if anyone suggests how to run that code continuously to get

Dear all, I have a problem while working with hourly data of fx rates. I've read from a csv file, the following way: csv-file like: Date,Open,High,Low,Close,Volume 2011-08-11 03:00:00,1.41758,1.42205,1.41625,1.42174,8974 ... 2011-08-12 04:00:00,1.42175,1.42413,1.42067,1.42172,7229 ... 2011-12-30 05:00:00,1.42173,1.42341,1.42062,1.42171,6703 ... raw<-

Hi all I have some tick-by-tick data and I have calculated the intraday returns. I want to sum up the intraday squared returns to calculate the daily volatility(or daily variance). I know that the s-plus FinMerics has the function aggregateSeries function that can be apply to daily data: aggregateSeries(x, Fun, by="daily"), but the counterpart function in R:applySeries can not be apply

hi, Can someone please help me figure out where I am making a mistake in my for/if loop: I have a data frame (112 rows) called pricedata with 3 columns: date, prices, return. Now, I want to add a 4th column, trend, which can have 2 values 0 or 1. if return>1%, trend=1 else trend=0. so, this is what I did: >trend<-numeric(nrow(pricedata)) >cbind(pricedata,trend) >for(i in

Hello This is my first post on this forum and I hope someone can help me out. I have a datafile (weeklyR) with returns of +- 100 companies. I acquired this computing the following code: library("tseries"); tickers = c("GSPC" , "BP" , "TOT" , "ENI.MI" , "VOW.BE" , "CS.PA" , "DAI.DE" , "ALV.DE" ,

Buenos días: Me gustaría representar gráficamente datos horarios de temperaturas máximas, medias y mínimas. Hasta ahora he utilizado los gráficos de cotizaciones de Excel, ¿podría hacer algo similar con R?. En ggplot2 he visto los gráficos ribbon pero creo que no son lo que necesito ya que necesitan una especie de intervalo de confianza y yo lo que tengo son datos puntuales con su máxima y su