Deployment of the final application in a number of environments, including.Interacting with existing libraries and software for trade execution.Model building and prototyping in MATLAB.Data gathering options, including daily historic, intraday, and real-time data.As a part of this merge, a subset of the functionality is moving to File Exchange. 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.Īs of R2021a, Trading Toolbox has been merged into Datafeed Toolbox. 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. In this webinar we will present an example workflow for researching, implementing and testing an automated trading strategy.
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