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Algorithmic Trading with MATLAB in 2 days (Forex & Stocks)

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Algorithmic Trading with MATLAB in 2 days (Forex & Stocks)

Algorithmic Trading with MATLAB in 2 days (Forex & Stocks)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 212 MB
Genre: eLearning | Language: English


How to build profitable algorithmic trading strategies on Forex & Stocks with MATLAB
This course will show you how to create, test and analyze algorithmic trading strategies on financial markets (forex, stocks etc.) in MATLAB by using the WFAToolbox application, which can make development process comfortable and interesting, as well as provides reliable results, reducing the whole process from weeks or months to couple of minutes.

This course is intended for those, who know MATLAB language basics and has some experience in financial trading on financial markets (forex, stocks etc.), but even if you are not familiar with MATLAB, our course includes all the links for necessary resources, which will allow you to understand everything as soon as possible.

By the end of this course you will be able to load free data from Google Finance directly into MATLAB, describe rules of your trading strategy on financial markets (forex, stocks etc.) in MATLAB language, perform visual walk-forward analysis by using parallelization of processes and genetic algorithms, as well as perform detailed analysis of your tests.

In the final part we will tell and show you special method, which allows you to take typical trading strategy on financial markets (forex, stocks etc.) and convert it into new one, which will bring you $1'461'350 from $10'000 in 4 years! There's no magic or secret in this method, it uses pure math.

Main features and duration of the course

The story about hedge funds making billions of dollars each year using MATLAB (and the way for you to "steal their technologies")

Do you know which technology is used by hedge fund departments of J.P. Morgan or Deutsche Bank in order to create their highly effective algorithmic strategies? Yes, sometimes developers write everything from the scratch, but in most majority of cases they use MATLAB system! Because it speeds up development process of trading systems on financial markets (forex, stocks etc.), and visual analysis can be performed even by student. The most important that it has all necessary things for advanced quantitative finance analysis and financial engineering: digital signal processing (nonlinear adaptive filters, kalman filters), neural networks, support vector machines, genetic algorithms and many other and most modern. In our modern world, someone can be considered as indecent person if he or she publishes article about new method of data analyzing or time series prediction without attachment of such code in MATLAB language!

Availability of MATLAB gave new and unprecedented opportunities for private investors and traders, which are interested in creation of highly profitable algorithmic trading strategies on financial markets (forex, stocks etc.). But we have to mention that institutional investors usually use not one single person, but whole team to create their strategies even in MATLAB, because some processes have to be integrated into one existing structure (e.g. bank structure), therefore some of required processes have never existed or require connection to expensive services.

But these days we finally have the WFAToolbox. This application (in fact it's add-on) that works under MATLAB, which allows to carry out all necessary processes to create, test and analyze trading strategies on financial markets (forex, stocks etc.) in MATLAB, providing maximum comfort and speed and using modern optimization and data visualization systems without any affection on limitless opportunities of data analysis systems usage, prediction and so on, which are the part of MATLAB itself.
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Tags: Algorithmic, Trading, MATLAB, Stocks


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