Algorithmic Trading with Bloomberg EMSX and MATLAB

Version 1.0.0.0 (46,4 ko) par Nicole Wilson
Files from the webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4
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Mise à jour 11 oct. 2013

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Demo files from the OPTI-NUM solutions webinar - Algorithmic Trading with Bloomberg EMSX and MATLAB.

The main demo files are:
BloombergSimpleExamples.m
MovingAverageTradingRule_BloombergEMSX_intraday.m
MovingAverageTradingRule_BloombergEMSX_liveSystem.m

In this 18 minute video, an Applications Engineer from OPTI-NUM solutions will show you how MATLAB can be used for Algorithmic Trading and demonstrate the Trading Toolbox, which can be used to execute trades in real time directly from MATLAB through Bloomberg EMSX.

The webinar describes the workflow involved in developing, backtesting and executing a trading strategy, and features a live example of a trading algorithm being implemented in Bloomberg EMSX’s test environment.

The webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4

Citation pour cette source

Nicole Wilson (2024). Algorithmic Trading with Bloomberg EMSX and MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/43869-algorithmic-trading-with-bloomberg-emsx-and-matlab), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2013b
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Plateformes compatibles
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HelperFunctions/

BloombergSimpleExamples/html/

html/

Version Publié le Notes de version
1.0.0.0