Algorithmic Trading with Bloomberg EMSX and MATLAB
Files from the webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4
現在この提出コンテンツをフォロー中です。
- フォローしているコンテンツ フィードに更新が表示されます。
- コミュニケーション基本設定に応じて電子メールを受け取ることができます
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
引用
Nicole Wilson (2026). Algorithmic Trading with Bloomberg EMSX and MATLAB (https://jp.mathworks.com/matlabcentral/fileexchange/43869-algorithmic-trading-with-bloomberg-emsx-and-matlab), MATLAB Central File Exchange. に取得済み.
| バージョン | 公開済み | リリース ノート | Action |
|---|---|---|---|
| 1.0.0.0 |
