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Quantitative Finance with Julia. The TimeSeries package has undergone quite a bit of change over the past few months, but seems to have settled on its implementation. The goal of the package is to define a Julian framework for dealing with time series data. To achieve this objective, TimeSeries implements a type named. The new type signature (which doesn’t include the inner constructor in the actual code) is as follows:. Immutable TimeArray{T,N} : AbstractTimeArray. Git ls-files xargs wc -l. For this pip...

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Quant Kitchen | Quantitative Finance with Julia

Quantitative Finance with Julia. NDX rally of 10% over past 21 trading days. May 18, 2013. Historically, how often does the Nasdaq 100 rally like this? Future posts will demonstrate the use of specific packages, for now this is simply a few lines of code to get a feel for working with Julia. The following code works with Julia 0.2, which is a dev release. Using TimeSeries, Quandl NDX = quandl(YAHOO/INDEX NDX, 100000, daily); log return! NDX, Close ret, g, 21); #calc rolling returns over 21 periods. Extre...

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