Entire Matlab Simulink demo models with code generated from Simulink Coder Toolbox
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Here is my Google Android mobile app details: Learn how to build financial trading models and strategies with the R language
Financial Trading Model How-To
Are you ready to learn financial trading model development and strategy development using R, the open source statistical programming language?
R is free to use and just as powerful as the very expensive Matlab if you understand how to deploy it properly. And Quantlabs.net is the only website that teaches you how R fits into next generation quant analysis and quant trading.
Learn automated, systematic and algorithmic-based systems including high frequency trading (HFT) for stocks, futures, options and forex.
Quantlabs.net features regular tutorials on all these topics — check out every one as it’s published with this handy app that links to the Quantlabs.net blog feed.
3. Promo text
Learn how to build financial trading models and strategies with the R language
Learn how to do trading with R to build financial models, strategies, models, HFT, forex in our Google Android App
This should be on the Google Android Play app store soon.
Find out when this app is ready to go via our newsletter.
[youtube_sc url=”http://www.youtube.com/watch?v=re8bQkQeuxk” playlist=”quant r google app” title=”quant%20r%20google%20aoo”]
Are you a professional R user seeking to create and improve upon profitable financial forecasting models and algorithms?
If that’s you, I’m running a survey right now which addresses your interests.
You see, I’m currently preparing video tutorial walkthroughs for various model types. Included on my “to do” list (or already done) are the following:
Markov chain or mcmc
Is there anything missing from that list within this survey?
As you’ve probably noticed, the current list features popular models which are rather “vanilla” or academic. They’re almost certainly being tweaked in highly proprietary ways by bank prop desks, hedge funds, and similar institutions in the real world.
But the essential bits and pieces are there (mostly). I’ve only encountered difficulty finding R source code example tutorials for PCA and Markov. Probably because few people have used them in quant financial modeling up until now! If you know differently, I’d appreciate hearing about it.
Other facts of note I’ve uncovered during my search include the reality that you can accelerate single threaded R execution by blending in other languages. C++ for example is often used in conjunction with great R packages like Rcpp or Rinside.
Parallelization and NOsql database solutions also accelerate simulations and calculations. There’s even other uses like GPU, FPGA, and Cuda. The flexibility seems endless.
But I digress. My primary goal with this survey is to discover what models R users and developers are using for their own research. This helps me, but also you too. You’ll have access to the survey results, after all.
I’ll even be incorporating the results of this survey in terms of what to present for my new R Matlab User group.