Calculate Relative Strength Index (RSI) - R-quant-packages Typing CST Test
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Calculate Relative Strength Index (RSI) — R-quant-packages Code
Compute 14-day RSI to analyze momentum.
rsi14 <- RSI(Cl(AAPL), n=14)
plot(rsi14, main='AAPL 14-day RSI')
abline(h=70, col='red', lty=2)
abline(h=30, col='green', lty=2)R-quant-packages Language Guide
R quantitative packages are specialized libraries in R designed for statistical analysis, financial modeling, econometrics, and quantitative research, providing tools for data manipulation, visualization, simulation, and algorithmic analysis.
Primary Use Cases
- ▸Time series modeling and forecasting
- ▸Financial portfolio optimization
- ▸Risk and performance metrics computation
- ▸Derivatives and options pricing
- ▸Simulation and Monte Carlo analysis
Notable Features
- ▸Comprehensive statistical and financial functions
- ▸Integration with R ecosystem and tidyverse
- ▸Support for high-performance computation
- ▸Automated reporting and visualization tools
- ▸Open-source with community contributions
Origin & Creator
Developed by R Core Team, CRAN contributors, and specialized developers worldwide, focusing on statistical computing and financial analytics.
Industrial Note
Extensively used in quantitative finance, risk analysis, actuarial science, algorithmic trading, econometrics, and academic research requiring robust statistical computation.