Algorithmic Trading with Bloomberg EMSX and MATLAB

Version 1.0.0.0 (46,4 KB) von Nicole Wilson
Files from the webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4
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Aktualisiert 11 Okt 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

Zitieren als

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. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2013b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
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HelperFunctions/

BloombergSimpleExamples/html/

html/

Version Veröffentlicht Versionshinweise
1.0.0.0