Learn R-QUANT-PACKAGES with Real Code Examples

Learn R basics: data structures, functions, loops

Understand time series and statistical concepts

Explore popular R-Quant packages like quantmod, PerformanceAnalytics

Practice portfolio and risk modeling

Build reproducible reports and automated analysis

Week 1: R basics and data manipulation

Week 2: Time series and financial data import

Week 3: Risk and portfolio metrics

Week 4: Simulation and Monte Carlo analysis

Week 5: Reporting and visualization using R Markdown/Shiny

What are your favorite R-Quant packages and why?

How do you compute portfolio Value at Risk in R?

Explain how to model a time series in R.

How would you backtest a trading strategy using R?

How do you ensure reproducible analysis in quantitative projects?

library(quantmod) -> Financial data and charting

library(PerformanceAnalytics) -> Risk and performance metrics

Return.calculate(prices) -> Compute returns

chartSeries(data) -> Plot price charts

optimize.portfolio() -> Portfolio optimization

Quantitative Finance with R

Applied Quantitative Finance in R

Portfolio Management in R

Time Series Analysis and Its Applications in R

Risk Management and Financial Modeling with R

Getting started with quantmod

Time series analysis in R

Portfolio optimization with R

Financial risk analysis using PerformanceAnalytics

Building reproducible R-Quant workflows with R Markdown

https://cran.r-project.org/web/packages/available_packages_by_name.html

https://r-project.org/

https://www.quantmod.com/

https://cran.r-project.org/package=PerformanceAnalytics

RStudio Community

StackOverflow R tag

Quantitative Finance forums

GitHub repositories for R-Quant packages

LinkedIn R and Quant Finance groups

RStudio Community

StackOverflow R tag

Quantitative Finance mailing lists

GitHub repositories of R-Quant packages

LinkedIn R and Quant Finance groups