Recorded Webinar: Algorithmic Trading with MATLAB for Financial Applications

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Learn how MATLAB® can support the prototyping and development of algorithmic trading in your organization.

Algorithmic trading is a complex and multi-dimensional problem; there are a large number of different challenges that need to be addressed and solved. At its heart one needs to be able to develop, build and test a robust trading algorithm, but this process requires one to solve a range of surrounding issues including 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
• Deployment of the final application in a number of environments, including .NET, JAVA, and Excel

Download webinar demo files from MATLAB Central. 

 

Product Focus

• MATLAB
• Database Toolbox
• Datafeed Toolbox
• Statistics Toolbox
• Financial Toolbox
• Optimization Toolbox

This webinar was recorded on 25 Sep 2007

Duration: 68 Minutes