About

TTR is an R package that provides the most popular technical analysis functions for financial market data. Many of these functions are used as components of systematic trading strategies and financial charts.

Supporting TTR development

If you are interested in supporting the ongoing development and maintenance of TTR, please consider becoming a sponsor.

Installation

The current release is available on CRAN, which you can install via:

install.packages("TTR")

To install the development version, you need to clone the repository and build from source, or run one of:

# lightweight
remotes::install_github("joshuaulrich/TTR")
# or
devtools::install_github("joshuaulrich/TTR")

You will need tools to compile C/C++ code. See the relevant appendix in the R Installation and Administration manual for your operating system:

• Windows
• MacOS (the R for Mac OS X Developer's Page might also be helpful)
• Unix-alike

Getting Started

Here are a few examples of some of the more well-known indicators:

# "TTR Composite" (simulated data)
data(ttrc)
hlc <- ttrc[, c("High", "Low", "Close")]

# Bollinger Bands
bbands <- BBands(hlc)

# Directional Movement Index
adx <- ADX(hlc)

# Moving Averages
ema <- EMA(ttrc[, "Close"], n = 20)
sma <- SMA(ttrc[, "Close"], n = 20)

# MACD
macd <- MACD(ttrc[,"Close"])

# RSI
rsi <- RSI(ttrc[,"Close"])

# Stochastics
stochOsc <- stoch(hlc)

TTR works with the chartSeries() function in quantmod. Here's an example that uses chartSeries() and adds TTR-calculated indicators and overlays to the chart.

library(quantmod)
data(ttrc)

# create an xts object
x <- as.xts(ttrc)

chartSeries(x, subset = "2006-09/", theme = "white")
addBBands()
addRSI()

Have a question?

Ask your question on Stack Overflow or the R-SIG-Finance mailing list (you must subscribe to post).

Contributing

Please see the Contributing Guide.

See Also

• quantmod: quantitative financial modeling framework
• xts: eXtensible Time Series based on zoo

Author

Joshua Ulrich