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quantmod: Quantitative Financial Modelling Framework

Specify, build, trade, and analyse quantitative financial trading strategies.

Version: 0.4.26
Depends: R (≥ 3.2.0), xts (≥ 0.9-0), zoo, TTR (≥ 0.2), methods
Imports: curl, jsonlite (≥ 1.1)
Suggests: DBI, RMySQL, RSQLite, timeSeries, xml2, downloader
Published: 2024-02-14
DOI: 10.32614/CRAN.package.quantmod
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Ethan B. Smith [ctb], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich at gmail.com>
BugReports: https://github.com/joshuaulrich/quantmod/issues
License: GPL-3
URL: https://www.quantmod.com/, https://github.com/joshuaulrich/quantmod
NeedsCompilation: no
Materials: NEWS
In views: Finance
CRAN checks: quantmod results

Documentation:

Reference manual: quantmod.pdf

Downloads:

Package source: quantmod_0.4.26.tar.gz
Windows binaries: r-devel: quantmod_0.4.26.zip, r-release: quantmod_0.4.26.zip, r-oldrel: quantmod_0.4.26.zip
macOS binaries: r-release (arm64): quantmod_0.4.26.tgz, r-oldrel (arm64): quantmod_0.4.26.tgz, r-release (x86_64): quantmod_0.4.26.tgz, r-oldrel (x86_64): quantmod_0.4.26.tgz
Old sources: quantmod archive

Reverse dependencies:

Reverse depends: acp, FinancialInstrument, rusquant, stocks
Reverse imports: ADAPTS, AssetAllocation, BatchGetSymbols, cfDNAPro, CloneSeeker, creditr, DMwR2, egcm, highcharter, highfrequency, HoRM, lcyanalysis, msdrought, NNS, pdfetch, portfolioBacktest, qrmtools, Riex, rpredictit, rtsdata, rtsplot, seasonalityPlot, shinyInvoice, starvars, StockDistFit, tidyquant, tseries, TSEtools, yfR, yuimaGUI
Reverse suggests: bidask, BigVAR, cryptoQuotes, dang, lares, OOS, PerformanceAnalytics, performanceEstimation, PortfolioAnalytics, RGraphics, RTransferEntropy, SharpeR, SlidingWindows, sovereign, TSstudio
Reverse enhances: TTR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=quantmod to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.