Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
| Version: | 1.0.12 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr (≥ 1.0.0), ggplot2 (≥ 3.4.0), httr, httr2, curl, jsonlite, lazyeval, lubridate, magrittr, PerformanceAnalytics, RobStatTM, quantmod (≥ 0.4-13), purrr, readr, readxl, stringr, tibble, tidyr (≥ 1.0.0), timetk (≥ 2.4.0), timeDate, TTR, xts, rlang, zoo, cli |
| Suggests: | alphavantager (≥ 0.1.2), riingo, tibbletime, broom, knitr, forcats, rmarkdown, testthat (≥ 2.1.0), scales, Rblpapi, janitor |
| Published: | 2026-03-16 |
| DOI: | 10.32614/CRAN.package.tidyquant |
| Author: | Matt Dancho [aut, cre], Davis Vaughan [aut] |
| Maintainer: | Matt Dancho <mdancho at business-science.io> |
| BugReports: | https://github.com/business-science/tidyquant/issues |
| License: | MIT + file LICENSE |
| URL: | https://business-science.github.io/tidyquant/, https://github.com/business-science/tidyquant |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | Finance |
| CRAN checks: | tidyquant results |
| Reference manual: | tidyquant.html , tidyquant.pdf |
| Vignettes: |
Excel in R with tidyquant (source, R code) |
| Package source: | tidyquant_1.0.12.tar.gz |
| Windows binaries: | r-devel: tidyquant_1.0.12.zip, r-release: tidyquant_1.0.11.zip, r-oldrel: tidyquant_1.0.11.zip |
| macOS binaries: | r-release (arm64): tidyquant_1.0.11.tgz, r-oldrel (arm64): tidyquant_1.0.12.tgz, r-release (x86_64): tidyquant_1.0.11.tgz, r-oldrel (x86_64): tidyquant_1.0.11.tgz |
| Old sources: | tidyquant archive |
| Reverse suggests: | anomalize, bitmexr, bspcov, modeltime.resample, RTL, sweep |
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