FeaturedUdemy
Financial Trading in R
4.8(77)22k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate R course provides a specialized dive into quantitative trading framework architecture using the quantstrat package. It teaches you to build robust, signal-driven trading systems by transforming market data into actionable indicators, simulating order execution, and analyzing historical performance metrics.
Who It's For
R programmers, quantitative researchers, and traders looking to leverage R's statistical ecosystem to construct, simulate, and visually evaluate quantitative trading models.
Key Takeaways
- Quantstrat Framework: Learn the architecture required to set up and manage signal-based trading strategies in R.
- Indicators & Signals: Apply technical data transformations and construct multi-indicator rule sets to signal entry and exit triggers.
- Simulation & Evaluation: Simulate order execution and evaluate trading strategy performance through statistical metrics and visual plotting.
About this course
This course will cover the basics on financial trading and will give you an overview of how to use quantstrat to build signal-based trading strategies in R. It will teach you how to set up a quantstrat strategy, apply transformations of market data called indicators, create signals based on the interactions of those indicators, and even simulate orders. Lastly, it will explain how to analyze your results both from statistical and visual perspectives.
Price
Free
This course is free to enrol.
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