Displaying 20 results from an estimated 41 matches for "backtesting".
2007 Jul 26
1
R CMD check sh: line 1: make: command not found
hello,
I am using R 2.5.0 under OS X.
I am having " sh: line 1: make: command not found" error message when
I run " R CMD check " :
Any help would be appreciated.
R CMD check backtest
* checking for working latex ... OK
* using log directory '/backtest/trunk/backtest.Rcheck'
* using R version 2.5.0 (2007-04-23)
* checking for file 'backtest/DESCRIPTION'
2017 Nov 21
0
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
Hello,
I'm trying to understand how to use the pbo package by looking at a
vignette. I'm curious about a part of the vignette that creates simulated
returns data. The package author transforms his simulated returns in a way
that I'm unfamiliar with, and that I haven't been able to find an
explanation for after searching around. I'm curious if I need to replicate
the
2017 Nov 21
0
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
Hi Eric,
Thank you, that helps a lot. If I'm understanding correctly, if I?m wanting
to use actual returns from backtests rather than simulated returns, I would
need to make sure my risk-adjusted return measure, sharpe ratio in this
case, matches up in scale with my returns (i.e. daily returns with daily
sharpe, monthly with monthly, etc). And I wouldn?t need to transform
returns like the
2017 Nov 21
1
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
Correct
Sent from my iPhone
> On 21 Nov 2017, at 22:42, Joe O <joerodonnell at gmail.com> wrote:
>
> Hi Eric,
>
> Thank you, that helps a lot. If I'm understanding correctly, if I?m wanting to use actual returns from backtests rather than simulated returns, I would need to make sure my risk-adjusted return measure, sharpe ratio in this case, matches up in scale with
2017 Nov 21
0
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
Hi Joe,
The centering and re-scaling is done for the purposes of his example, and
also to be consistent with his definition of the sharpe function.
In particular, note that the sharpe function has the rf (riskfree)
parameter with a default value of .03/252 i.e. an ANNUAL 3% rate converted
to a DAILY rate, expressed in decimal.
That means that the other argument to this function, x, should be DAILY
2017 Nov 21
2
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
Wrong list.
Post on r-sig-finance instead.
Cheers,
Bert
On Nov 20, 2017 11:25 PM, "Joe O" <joerodonnell at gmail.com> wrote:
Hello,
I'm trying to understand how to use the pbo package by looking at a
vignette. I'm curious about a part of the vignette that creates simulated
returns data. The package author transforms his simulated returns in a way
that I'm
2017 Nov 21
2
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
[re-sending - previous email went out by accident before complete]
Hi Joe,
The centering and re-scaling is done for the purposes of his example, and
also to be consistent with his definition of the sharpe function.
In particular, note that the sharpe function has the rf (riskfree)
parameter with a default value of .03/252 i.e. an ANNUAL 3% rate converted
to a DAILY rate, expressed in decimal.
That
2018 Mar 15
1
Adjusting OHCL data via quantmod
...se column returned by Alpha Vantage
#Adjust all data for splits, and split-adjusted dividends (I think)
AAPL_a <- adjustOHLC(AAPL, use.Adjusted = TRUE)
head(AAPL_a)
###
Two questions:
-1. Am I interpreting these adjustments correctly?
-2. What adjustment method minimizes the difference between backtesting and
live-trading?
p.s., I expect there is no "correct" method for adjusting data. I'm curious
if there is a "best-practice" or norm that is used. I'm curious if there is
a method which minimizes the difference between backtesting and
live-trading. Thanks you, -Joe
[[a...
2012 Mar 14
1
Real-Time data transfer from Excel to R
Hi All
I receive through DDE ,real time data from an external supplier on an Excel
2003 sheet.
I use R as platform to make backtest trading and prepare trade.
My question : Is existing a solution to transfer real-time data from Excel
to R? Such transfer keeping the streaming condition.
I don't intend to open an account to IB. And I don't want make backtest on
Excel,using R as
2018 May 15
3
Forecasting tutorial "Basic Forecasting"
...nths of data, complete 2016 & 2017 but only 4 months in 2018 and my Tsp is a value of 12? If so how would I adjust?
I have googled a few references for the error, but the solution is not clear to me.
https://stackoverflow.com/questions/32369737/error-invalid-time-series-parameters-specified-in-backtesting-r-script
http://r.789695.n4.nabble.com/How-to-setup-the-tsp-attribute-of-a-dataset-td908269.html
Thanks for any advice.
WHP
Confidentiality Notice This message is sent from Zelis. ...{{dropped:15}}
2018 May 15
0
Forecasting tutorial "Basic Forecasting"
...complete 2016 & 2017 but only 4 months in 2018 and my Tsp is a value of 12? If so how would I adjust?
>
> I have googled a few references for the error, but the solution is not clear to me.
> https://stackoverflow.com/questions/32369737/error-invalid-time-series-parameters-specified-in-backtesting-r-script
> http://r.789695.n4.nabble.com/How-to-setup-the-tsp-attribute-of-a-dataset-td908269.html
>
> Thanks for any advice.
>
> WHP
>
>
> Confidentiality Notice This message is sent from Zelis. ...{{dropped:15}}
>
> ______________________________________________
>...
2024 Oct 20
0
PMwR 1.0 (Portfolio Management with R)
Dear all,
version 1.0-1 of package PMwR is on CRAN now.
PMwR stands for 'Portfolio Management with R', and the
package provides tools for the practical management of
financial portfolios: backtesting investment and trading
strategies, computing profit/loss and returns, analysing
trades, handling lists of transactions, reporting, and
more.
The manual [1] provides all the details; a tutorial on
backtesting with the package is available on SSRN [2].
Comments/corrections/remarks/suggestions are v...
2024 Oct 20
0
PMwR 1.0 (Portfolio Management with R)
Dear all,
version 1.0-1 of package PMwR is on CRAN now.
PMwR stands for 'Portfolio Management with R', and the
package provides tools for the practical management of
financial portfolios: backtesting investment and trading
strategies, computing profit/loss and returns, analysing
trades, handling lists of transactions, reporting, and
more.
The manual [1] provides all the details; a tutorial on
backtesting with the package is available on SSRN [2].
Comments/corrections/remarks/suggestions are v...
2010 Jul 10
1
quantstrat and blotter unavailable
These packages were not available. Are these the only places to go for
backtesting technical trading systems other than ttrTests pls?
> install.packages("quantstrat", repos="http://R-Forge.R-project.org")
Warning in install.packages("quantstrat", repos = "
http://R-Forge.R-project.org") :
argument 'lib' is missing: using
'...
2011 Mar 28
1
portfolioBacktest in fPortfolio
Hello. I am trying to use the portfolio backtesting function in fPortfolio
package, but I don't now why in my version of fPortfolio I don't have either
the portfolioBactest nor the portfolioBacktesting functions. Does anybody
knows what might be going on?
thank you
Felipe Parra
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2011 Aug 31
0
QUANSTRAT: error with applySignal
hi everyone,
I want to backtest a simple strategy with RSI, im using "sigThreshold".
i took example from the http://blog.fosstrading.com/ site to understand how
quanstrat works.
but now, i have a problem with my code that i really don't understand, R
says me:
Error in match.names(column, colnames(data)) :
argument "column" is missing, with no default
please can
2012 Nov 09
0
Chicago Based Trading Group Seeking Development Clerk
*Job Title: Trading Development Clerk
Job Description: Assist development team with backtesting, debugging,
creating, and deploying automated trading strategies. Clerk will work under
a lead developer and several traders to provide support to traders in real
time execution, in addition to the development staff with strategy
creation, troubleshooting and deployment. The ideal candidate would...
2013 Feb 13
1
R question
Hello,
I have submitted a R question to stackoverflow and have not received an answer.
Could anyone help me out?
http://stackoverflow.com/questions/14825443/backtesting-accuracy-of-regression-model-through-rolling-window-regression-with
Best regards,
Pedro
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2017 Jul 29
1
rugarch package: VaRTest()
Dear all,
I want to backtest my Value at Risk output using the VaRTest() function in the rugarch package. I do not understand if the numeric vector of VaR which needs to be calculated is in negative or positive terms. Usually VaR is expressed in positive terms.
Do I have to use positive values for VaR in the VaRTest() formula?
Thanks for your help.
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2012 Apr 17
2
Manually reconstructing arima model from coefficients
...tted arima model to my time series like this (please ignore modeling
parameters as they are not important now):
x = scan("C:/data.txt")
x = ts(x, start=1, frequency=1)
x.fit<-arima(x, order = c(1,0,0), seasonal = list(order=c(0,0,1)))
Now I want to use this model for forecasting and backtesting (!). My goal is
to apply exactly this model to different data ? another time series object,
let?s call it ?y?. How can I do this in R.
One of the options is to extract coefficients and to create my own function
that can be applied to any time series but I suspect and hope that there is
a better wa...