608 search results for "trading"

Poor man’s pairs trading…

April 11, 2010
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Poor man’s pairs trading…

There is a central notion in Time Series Econometrics, cointegration. Loosely it refers to finding the long run equilibrium of two non-stationary series. As the most know non-stationary series examples comes from finance, cointegration is nowadays a tool for traders (not a common one though!). They use it as the theory behind pairs trading (aka

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FFT (Fast Fourier Transform) of time series — promises and pitfalls towards trading

February 24, 2010
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FFT (Fast Fourier Transform) of time series  — promises and pitfalls towards trading

Fig 1. FFT transformed time series (EBAY) reconstructed with first three and twenty harmonics, respectively.I see quite a few traders interested in advanced signal processing techniques. It is often instructive to see why they may or may not be useful....

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Genetic Algorithm Systematic Trading Development — Part 3 (Python/VBA)

February 20, 2010
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Genetic Algorithm Systematic Trading Development — Part 3  (Python/VBA)

As mentioned in prior posts, it is not possible to use the standard Weka GUI to instantiate a Genetic Algorithm, other than for feature selection. Part of the reason is that there is no generic algorithm to instantiate a fitness function. The same fl...

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Genetic Algorithm Systematic Trading Development– Part 2

February 17, 2010
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Genetic Algorithm Systematic Trading Development– Part 2

We started by discussing the goal of a genetic algorithm, which is to optimally find the candidate pool of rules that are superior to other potential rules. In our example of moving averages, we are seeking the values of parameters of the rule :if ma(...

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Genetic Algorithm Systematic Trading Development — Part 1

February 15, 2010
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Genetic Algorithm Systematic Trading Development — Part 1

I want to start with a brief introduction to what I consider one of the most powerful learning methodologies to come out of Artificial Intelligence in the last several decades-- the Genetic Algorithm. Although it was originally developed to model evol...

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IBrokers Featured on Quantitative Trading

January 17, 2009
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IBrokers Featured on Quantitative Trading

Jeff Ryan's IBrokers package was mentioned on Ernie Chan's blog, Quantitative Trading. Though the package is still in pre-alpha stage, it is generating quite a bit of interest.Source:Ernie ChanFriday, January 16, 2009Quantitative Trading: Algorithmic ...

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Welcome to FOSS Trading

September 28, 2008
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Welcome to FOSS Trading

This blog will highlight the development and use of free open-source software to research, test, and trade financial markets.Meet the authors:Joshua Ulrich is currently the author and maintainer of four R packages:TTR - Technical Trading Rules - a suit...

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Get ready for R/Finance 2016

April 21, 2016
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Get ready for R/Finance 2016

by Joseph Rickert R/Finance 2016 is less than a month away and, as always, I am very much looking forward to it. In past years, I have elaborated on what puts it among my favorite conferences even though I am not a finance guy. R/Finance is small, single track and intense with almost no fluff. And scattered among the...

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Bay Area R User Group at Strata and PAW

March 10, 2016
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by Joseph Rickert I always think of Strata Hadoop World and Predictive Analytics World as initiating the Spring conference season here in the San Francisco Bay Area. The rainy season is usually over by the end of March and it is a perfect time to visit. If you are traveling to either of these conferences from out of town...

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Like peanut butter and jelly: x13binary and seasonal

February 2, 2016
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Like peanut butter and jelly: x13binary and seasonal

This post was written by Dirk Eddelbuettel and Christoph Sax and posted by both author’s respective blogs. The seasonal package by Christoph Sax brings a very featureful and expressive interface for working with seasonal data to the R environment. It uses the standard tool of the trade: X-13ARIMA-SEATS. This powerful program is provided by the

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