tidyquant: Tidy Quantitative Financial Analysis

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: 1.0.7
Depends: R (≥ 3.5.0), lubridate, PerformanceAnalytics, quantmod (≥ 0.4-13)
Imports: dplyr (≥ 1.0.0), ggplot2, jsonlite, httr, curl, lazyeval, magrittr, purrr, Quandl, riingo, readr, readxl, alphavantager (≥ 0.1.2), stringr, tibble, tidyr (≥ 1.0.0), timetk (≥ 2.4.0), timeDate, TTR, xts, rlang, tidyverse, tidyselect
Suggests: tibbletime, forcats, broom, knitr, rmarkdown, testthat (≥ 2.1.0), scales, Rblpapi, covr, janitor
Published: 2023-03-31
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://github.com/business-science/tidyquant
NeedsCompilation: no
Materials: README NEWS
In views: Finance
CRAN checks: tidyquant results


Reference manual: tidyquant.pdf
Vignettes: Introduction to tidyquant
Core Functions in tidyquant
R Quantitative Analysis Package Integrations in tidyquant
Scaling Your Analysis with tidyquant
Charting with tidyquant
Performance Analysis with tidyquant
Excel in R - tidyquant 1.0.0


Package source: tidyquant_1.0.7.tar.gz
Windows binaries: r-devel: tidyquant_1.0.7.zip, r-release: tidyquant_1.0.7.zip, r-oldrel: tidyquant_1.0.7.zip
macOS binaries: r-release (arm64): tidyquant_1.0.7.tgz, r-oldrel (arm64): tidyquant_1.0.7.tgz, r-release (x86_64): tidyquant_1.0.7.tgz, r-oldrel (x86_64): tidyquant_1.0.7.tgz
Old sources: tidyquant archive

Reverse dependencies:

Reverse imports: sweep
Reverse suggests: anomalize, bitmexr, modeltime.resample, RTL


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