360 search results for "Quantmod"

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May 28, 2014
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Over the years, there have been a couple of issues I have been trying to address in my daily use of this excellent package. Both are “cosmetic” improvements, they only improve the usability of the package. Let me share them and see whether they can be improved further.:) First, let’s reduce the typing involved with

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Error Handling in Lyx & Sweave: using Quantmod (and R, of course)

November 8, 2011
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I do reports for clients with LyX and Sweave. It took me an extremely long time to get them working, but now that they’re working I can do more in an hour and thus charge more per hour. If you’re not familiar, here’s a rundown: LaTeX is the stand...

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Error Handling in Lyx & Sweave: using Quantmod (and R, of course)

November 8, 2011
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I do reports for clients with LyX and Sweave. It took me an extremely long time to get them working, but now that they’re working I can do more in an hour and thus charge more per hour. (Which is, like, the point.) If you’re not familiar, here’s ...

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quantmod makes it easy to watch silver prices crash in R #rstats

May 7, 2011
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quantmod makes it easy to watch silver prices crash in R #rstats

Jeffrey Ryan's quantmod package makes it simple to download and graph pricing data from a variety of sources. A couple of lines of R is all it takes to see that silver has had a very bad week.

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Duck typing with quantmod

February 4, 2011
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Duck typing with quantmod

This is a short example of using duck typing in a guard statement in the futile.paradigm. We are implementing a …Continue reading »

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Wavelet Spectrogram Non-Stationary Financial Time Series analysis using R (TTR/Quantmod/dPlR) with USDEUR

April 28, 2010
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Wavelet Spectrogram Non-Stationary Financial Time Series analysis using R (TTR/Quantmod/dPlR) with USDEUR

I've been doing some research lately regarding types of spectral imaging and decomposition techniques that apply to non-stationary signals. As mentioned earlier, one of the major problems with the simple fourier analysis is that the basis functions ext...

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Modified Donchian Band Trend Follower using R, Quantmod, TTR -Part 2: Parameter Sweep Sensitivity over long run

March 24, 2010
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Modified Donchian Band Trend Follower using R, Quantmod, TTR  -Part 2: Parameter Sweep Sensitivity over long run

Here is a small update to the Donchian Channel type system I displayed in the last post.Fig 1. Sensitivity of Net Combined L/S Gain to parameter n.Using the S&P500 index as a proxy for the market, a simulation was run over the lifetime of the index. No...

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Modified Donchian Band Trend Follower using R, Quantmod, TTR

March 12, 2010
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Modified Donchian Band Trend Follower using R, Quantmod, TTR

I've been toying around with the examples given on the FOSS trading site for some of the great work they've put together in the Quantmod and TTR packages. Those viewers who are looking for a nice (and free) backtesting suite to possibly complement s...

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The Generalized Lambda Distribution and GLDEX Package for Fitting Financial Return Data – Part 2

October 14, 2014
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The Generalized Lambda Distribution and GLDEX Package for Fitting Financial Return Data – Part 2

Part 2 of a series by Daniel Hanson, with contributions by Steve Su (author of the GLDEX package) Recap of Part 1 In our previous article, we introduced the four-parameter Generalized Lambda Distribution (GLD) and looked at fitting a 20-year set of returns from the Wilshire 5000 Index, comparing the results of two methods, namely the Method of Moments,...

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The Generalized Lambda Distribution and GLDEX Package: Fitting Financial Return Data

October 7, 2014
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The Generalized Lambda Distribution and GLDEX Package: Fitting Financial Return Data

by Daniel Hanson, with contributions by Steve Su (author of the GLDEX package). Part 1 of a series. Introduction As most readers are well aware, market return data tends to have heavier tails than that which can be captured by a normal distribution; furthermore, skewness will not be captured either. For this reason, a four parameter distribution such as...

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