Algorithmic Trading with Bloomberg EMSX and MATLAB

Versione 1.0.0.0 (46,4 KB) da Nicole Wilson
Files from the webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4
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Aggiornato 11 ott 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

Cita come

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. Recuperato .

Compatibilità della release di MATLAB
Creato con R2013b
Compatibile con qualsiasi release
Compatibilità della piattaforma
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HelperFunctions/

BloombergSimpleExamples/html/

html/

Versione Pubblicato Note della release
1.0.0.0