# How to Design Quant Trading Strategies Using R?

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This blog covers in brief the concept of strategy back-testing using R. Before dwelling into the trading jargons using R let us spend some time understanding what R is. R is an open source. There are more than 4000 add on packages,18000 plus members of LinkedIn’s group and close to 80 R Meetup groups currently in existence. It is a perfect tool for statistical analysis especially for data analysis. The concise setup of Comprehensive R Archive Network knows as CRAN provides you the list of packages along with the base installation required. There are lot of packages available depending upon the analysis needs to be done. To implement the trading strategy, we will use the package called quantstrat.
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### Four Step Process of Any Basic Trading Strategy

- Hypothesis formation
- Testing
- Refining
- Production

- Adding indicators
- Adding signals
- Adding rules

### Webinar Video

### Next Step

Once you’ve learned basics of designing a quant trading strategy using R, you can take a look at an example of trading strategy coded in R and also learning about how to get started with quantmod package in R. You can also take a look at our interactive self-paced 10 hours long datacamp course ‘Model a Quantitative Trading Strategy in R‘ The post How to Design Quant Trading Strategies Using R? appeared first on .To

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