Note: This post is NOT financial advice!  This is just a fun way to explore some of the capabilities R has for importing and manipulating data.   In part 2, we found that our 200-day high, hold 100 days strategy yielded average annual return... [Read more...]

Financial market is interesting place, you find people taking positions (buying/selling) based on their expectations of what the security prices would be and are rewarded/penalized according to the accuracy of their expectations. The beauty of financia... [Read more...]

I stumbled upon this chart in the R Graph Gallery, which got me thinking someone could come up with a Volume by Price chart using R. Such charts can be useful to determine support and resistance levels, as they illustrate amount of volume for different price ranges. Below is my ... [Read more...]

In previous posts I discussed how to generate a single permutation from a fully-randomised or restricted permutation design using shuffle(). Here I want to briefly mention the shuffleSet() function and illustrate it’s usage. Every time you call shuffle() it has to interpret the … Continue reading → [Read more...]

The puzzle in Le Monde this weekend is not that clear (for a change!), so I may be confused in the following exposition: Three card players are betting with a certain (and different) number of chips each, between 4 and 9. After each game, the looser doubles the number of chips of ... [Read more...]

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If you haven't yet taken a look at Revolution R Enterprise but wanted to know what is adds to open-source R, the slides below from yesterday's webinar will give you a quick overview: A recorded replay with audio of the me giving the presentation is also available at the link ... [Read more...]

Last Wednesday I had a meeting with the folks of the New Zealand Drylands Forest Initiative in Blenheim. In addition to sitting in a conference room and having nice sandwiches we went to visit one of our progeny trials at … Continue reading → [Read more...]

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Shown above is a queueing simulation. Each diamond represents a person. The vertical line up is the queue; at the bottom are 5 slots where the people are attended. The size of each diamond is proportional to the log of the time it will take them to be attended. Color is ... [Read more...]

There is a call for postdoctoral positions supported by the Paris Mathematical Sciences Foundation. The deadline is December 13 and the on-line application is available. If you are interested in working with me on Bayesian statistics  (model choice, time series model) or computational methods (SMC, MCMC, ABC, &c.) thru this call, ... [Read more...]

Are there times of the year when returns are better or worse? Abnormal Returns prompted this question with “SAD and the Halloween indicator” in which it is claimed that the US market tends to outperform from about Halloween until April. Data The data consisted of 15,548 daily returns of the S&... [Read more...]

This code shows how to easily plot a beautiful confidence interval diagram in R. First, let’s input the raw data. We’ll be making two confidence intervals for two samples of 10. In case you curious, the data represents samples from … Continue reading → [Read more...]

That’s right, I am moving away from exponential moving averages. Originally, I decided to use them somewhat arbitrary, probably because they tend to swing faster. Last night, after spending two and half hours debugging an issue which yet again turned out to be a particular property of these averages, ... [Read more...]

The Minimum Investment and Number of Assets Portfolio Cardinality Constraints are practical constraints that are not easily incorporated in the standard mean-variance optimization framework. To help us impose these real life constraints, I will introduce extra binary variables and will use mixed binary linear and quadratic programming solvers. Let’s ... [Read more...]

Pierre Jacob and Robin Ryder (from Paris-Dauphine, CREST, and Statisfaction) have just arXived (and submitted to the Annals of Applied Probability) a neat result on the Wang-Landau algorithm. (This algorithm, which modifies the target in a sort of reweighted partioned sampling to achieve faster convergence, has always been perplexing to ... [Read more...]

Support vector machines (SVM’s) are the “big iron” of the data mining world, especially suited for extreme data intensive tasks like image classification, [Read more...]

Aleks points me to this new tool from Wojciech Gryc. Right now I save my graphs as pdfs or pngs and then upload them to put them on the web. I expect I’ll still be doing this for awhile—I like having full control of what my graphs look ... [Read more...]

Yesterday morning at 7 am I was outside walking the dog before getting a taxi to go to the airport to catch a plane to travel from Christchurch to Blenheim (now I can breath after reading without a pause). It … Continue reading → [Read more...]

"The R-Files" is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Paul Teetor Profession: Quantitative developer (freelance) Nationality: American Years Using R: 7 Known for: Author of R Cookbook (O’Reilly Media, 2011) An active member of the R community, Paul Teetor is a ... [Read more...]