Algorithmic Trading with Bloomberg EMSX and MATLAB
Files from the webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4
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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 (2026). Algorithmic Trading with Bloomberg EMSX and MATLAB (https://fr.mathworks.com/matlabcentral/fileexchange/43869-algorithmic-trading-with-bloomberg-emsx-and-matlab), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
Inspiré par : Algorithmic Trading with MATLAB - 2010, Automated Trading with MATLAB - 2012
Informations générales
- Version 1.0.0.0 (46,4 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.0 |
