Building web applications for back testing systematic investment strategies (using R with Shiny)
Kirill gives a live-coding overview of the Shiny application from the RStudio team, which makes it substantially easier to produce interactive web applications for research into an investment strategy.
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- Lightning Talk: Parallel Computing in R (SkillsCast recorded in July 2018)
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Thanks to our sponsors
Building web applications for back testing systematic investment strategies (using R with Shiny)
Kirill Egorov
Kirill has been working on data management and analytics in financial services for the last 8 years. He started out in the Treasury team of a large Russian bank, where he was building data pipelines and models for liquidity management and middle office reporting. After moving to London he joined a fixed income brokerage startup, where he has been building out their data analytics platform, leveraging multiple open source technologies.
Kirill gives a live-coding overview of the Shiny application from the RStudio team, which makes it substantially easier to produce interactive web applications for research into an investment strategy.
YOU MAY ALSO LIKE:
- Lightning Talk: Parallel Computing in R (SkillsCast recorded in July 2018)
- Telling Human Stories With Data (in London on 19th August 2019)
- Inspiring Women in Data Science August (in London on 20th August 2019)
- Creating a Strong Data Science Portfolio (SkillsCast recorded in June 2019)
- Ethics for Data Science (SkillsCast recorded in May 2019)
Thanks to our sponsors
Building web applications for back testing systematic investment strategies (using R with Shiny)
Kirill Egorov
Kirill has been working on data management and analytics in financial services for the last 8 years. He started out in the Treasury team of a large Russian bank, where he was building data pipelines and models for liquidity management and middle office reporting. After moving to London he joined a fixed income brokerage startup, where he has been building out their data analytics platform, leveraging multiple open source technologies.