Improve your trading strategies with R code for usage of profit off tick data patterns, trade direction, downside risk, trade signals, PCA

(Last Updated On: June 1, 2012)
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Improve your trading strategies with R code for usage of profit off tick data patterns, trade direction, downside risk, trade signals, PCA
Hi there,

My Algorithm, Modelling, and Strategy Development courses just keep getting bigger and better. In the next few weeks, I’ll be posting R source code to teach you exactly how to:

Are you looking to get started on quant trading as soon as possible? I’m just about to post some crucial source code in R. Here’s what I’ll be including:

* Better Data: Get your hands on high frequency market data. Includes realized volatility, the bid/ask spread, trade direction, and calendar patterns with tick patterns

* How To Use Performance Analytics: display relative performance, calculate downside risk, show relative return risk, and compare distributions

* How To Prepare For All Outcomes: Estimate parameters for back testing, create trading signals, and then evaluate back-testing performance

* Principal Component Analysis: How to use it for financials within R.

And that’s just the tip of a growing iceberg for Premium members. Accelerate your learning right now:

Get even more benefits including our HFT and Algo Development courses, software tool kits, and more!
Good trading,


P.S. Remember: R is totally free as it’s open source. You don’t need expensive proprietary software packages to work with it. Volatility forecasting, pairs trading, cointegration, estimating, simulation, and much more. It’s all coming ASAP!

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
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About caustic

Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at