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19 августа 2012, 13:35

Webinar: Automated Trading with MATLAB

MathWorks проведет вебинар

Webinar: Automated Trading with MATLAB 

21 Aug 2012

http://www.mathworks.com/company/events/webinars/wbnr68672.html?seq=2&timezone=US%2FEastern&s_iid=desc_uw_FI_cta2


можно выбрать удобное время по часовому поясу

Webinar: Automated Trading with MATLAB

In this webinar we will present an example workflow for researching, implementing and testing an automated trading strategy. You will learn how MATLAB® and add-on products can be used for data gathering, preparation and visualization, model development, backtesting, calibration, integration with existing systems and ultimately deployment. We look at each of the parts in this process and see how MATLAB provides a single platform that allows the efficient solution of all parts of this problem.
Specific topics include:
  • Data gathering options, including daily historic, intraday, and real-time data
  • Model building and prototyping in MATLAB
  • Backtesting and calibrating a model
  • Interacting with existing libraries and software for trade execution
  • Deployment of the final application in a number of environments, including .NET, JAVA, and Excel
  • Tools for high frequency trading, including parallel computing, GPUs, and C code generation from MATLAB
Please allow approximately 60 minutes to attend the presentation and Q&A session.
About the Presenter: Stuart Kozola is a product manager at MathWorks and focuses on MATLAB® and add-on products for computational finance. Prior to joining MathWorks in 2006, Stuart worked at Pratt & Whitney (United Technologies) as a design engineer working on combustion systems for gas turbine engines. Stuart earned a B.S. in Chemical Engineering from the University of Wyoming, M.S. in Chemical Engineering from Arizona State University, M.S. in Electrical Engineering from Rensselaer Polytechnic Institute, and an M.B.A. from Carnegie Mellon University.
Product Focus
  • MATLAB®
  • MATLAB Compiler™
  • Econometrics Toolbox™
  • Financial Derivatives Toolbox™
  • Financial Toolbox™
  • Fixed-Income Toolbox™
14 Комментариев
  • cruss1u5
    19 августа 2012, 14:04
    Роман Некрасов, ML — мощная вещь, и русификация собственными силами не есть проблэмо
  • Евгений
    19 августа 2012, 14:46
    Роман Некрасов, за несколько часов связал МатЛаб и Квик — отправка и получение данных.
  • garry
    19 августа 2012, 15:15
    Matlab тем и хорош, что любой свой код может скомпилить в отдельную библиотеку для сторонних приложений(на .NET, C,Delphi)
  • wavelet
    20 августа 2012, 13:56
    Спасибо за линк, а сама форма регистрации у вас открывается?

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