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SmartData Collective > Big Data > Data Mining > Reminder: High-Performance Backtesting Webinar Tomorrow
Data MiningPredictive Analytics

Reminder: High-Performance Backtesting Webinar Tomorrow

DavidMSmith
DavidMSmith
2 Min Read
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A reminder that the online seminar High-Performance Backtesting with Vhayu and REvolution Computing takes place live tomorrow (March 19) at 11AM Eastern time. (Click on the link to register.)

This webinar illustrates high-performance model tuning of trading rules by backtesting with REvolution R and Vhayu Velocity. Backtesting algorithms can be computationally intensive. We show how REvolution R can be set to work seamlessly with the Vhayu tick database to significantly increase performance. REvolution R uses transparent parallel computation to reduce time to results in R and complete otherwise difficult to implement backtesting models.

Speakers include:

  • David Wilson, Product Manager / Vhayu Technologies
  • Bryan Lewis, Ambassador of Cool / REvolution Computing
  • Jeff Ryan, Owner / Insight Algorithmics

This free event is recommended for Quantitative Analysts, Developers, Researchers, Traders, Financial Engineers and others in the financial industry.

…

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A reminder that the online seminar High-Performance Backtesting with Vhayu and REvolution Computing takes place live tomorrow (March 19) at 11AM Eastern time. (Click on the link to register.)

This webinar illustrates high-performance model tuning of trading rules by backtesting with REvolution R and Vhayu Velocity. Backtesting algorithms can be computationally intensive. We show how REvolution R can be set to work seamlessly with the Vhayu tick database to significantly increase performance. REvolution R uses transparent parallel computation to reduce time to results in R and complete otherwise difficult to implement backtesting models.

Speakers include:

  • David Wilson, Product Manager / Vhayu Technologies
  • Bryan Lewis, Ambassador of Cool / REvolution Computing
  • Jeff Ryan, Owner / Insight Algorithmics

This free event is recommended for Quantitative Analysts, Developers, Researchers, Traders, Financial Engineers and others in the financial industry.

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