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All Projects → joshuaulrich → Quantmod

joshuaulrich / Quantmod

Licence: gpl-3.0
Quantitative Financial Modelling Framework

Programming Languages

r
7636 projects

Labels

time-seriesfinancealgorithmic-tradingcharting

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About

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.

quantmod for enterprise

Available as part of the Tidelift Subscription.

The maintainers of quantmod and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Learn more.

Supporting quantmod development

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

Installation

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

install.packages("quantmod")

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

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

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
[1] "DEXJPUS"

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).

Contributing

Please see the contributing guide.

See Also

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

Author

Jeffrey Ryan, Joshua Ulrich

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].