Algorithmic Trading with Bloomberg EMSX and MATLAB
Files from the webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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
Cite As
Nicole Wilson (2026). Algorithmic Trading with Bloomberg EMSX and MATLAB (https://ch.mathworks.com/matlabcentral/fileexchange/43869-algorithmic-trading-with-bloomberg-emsx-and-matlab), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Algorithmic Trading with MATLAB - 2010, Automated Trading with MATLAB - 2012
General Information
- Version 1.0.0.0 (46.4 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
