I'd like to learn how to use these packages, but I cannot seem to find any vignettes that offer something other than extensive code snippets. I'd like to learn about how they all fit together and something akin to a "walk through".
I've found some examples on the web like this series: http://timelyportfolio.blogspot.com/2011/06/quantstrat-to-build-on.html but I'm after something a bit more in depth (like the vignettes / examples in the package "PerformanceAnalytics"
Any sources?
Guy Yollin at the University of Washington teaches a class which covers some of this in the new Computational Finance program over there---his lecture notes on quantstrat/blotter can be found at: http://www.r-programming.org/papers
Lastly, recall that these are all packages written by busy volunteers so if documentation is missing ... so maybe you'd want to contribute some yourself?
There's a great e-book "Backtesting Strategies with R", written by Tim Trice on that describes the use of blotter
and quantstrat
libraries: https://timtrice.github.io/backtesting-strategies/index.html
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