Quantitative Financial Modelling Framework

License: GPL-3.0

Language: R

Keywords: algorithmic-trading, charting, data-import, finance, r, time-series


quantmod is an R package that provides a framework for quantitative financial modeling and trading. It provides a rapid prototyping environment that makes modeling easier by removing the repetitive workflow issues surrounding data management and visualization.

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


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

# lightweight
# or

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

Getting Started

It is possible to import data from a variety of sources with one quantmod function: getSymbols(). For example:

> getSymbols("AAPL", src = "yahoo")    # from yahoo finance
[1] "AAPL"
> getSymbols("DEXJPUS", src = "FRED")  # FX rates from FRED

Once you've imported the data, you can use chartSeries() to visualize it and even add technical indicators from the TTR package:

> getSymbols("AAPL")
[1] "AAPL"
> chartSeries(AAPL)
> addMACD()
> addBBands()
Have a question?

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


Please see the contributing guide.

See Also

  • TTR: functions for technical trading rules
  • xts: eXtensible Time Series based on zoo


Jeffrey Ryan, Joshua Ulrich

Project Statistics

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jaryan Joshua Ulrich Brian G. Peterson Ethan Smith Steve Bronder faceka Wouter Thielen evelynmitchell Paul Teetor pverspeelt

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Quantitative Financial Modelling Framework
Latest release 0.4-15 - Updated - 422 stars

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v0.4-14 March 24, 2019
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