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Downloads and Organizes Financial Data from Yahoo Finance · Issue #523 · ropensci/software-review · GitHub

Date accepted: 2022-06-21

Submitting Author Name: Marcelo Perlin
Submitting Author Github Handle: @msperlin
Other Package Authors Github handles: (comma separated, delete if none)
Repository: https://github.com/msperlin/yfR
Version submitted: 0.0.1
Submission type: Standard
Editor: @melvidoni
Reviewers: @s3alfisc, @thisisnic

Due date for

: 2022-05-29

Due date for @thisisnic: 2022-06-13

• Paste the full DESCRIPTION file inside a code block below:

Package: yfR
Title: Downloads and Organizes Financial Data from Yahoo Finance
Version: 0.0.1
Authors@R: person("Marcelo", "Perlin", email = "marceloperlin@gmail.com", role = c("aut", "cre"))
Description: Facilitates download of financial data from Yahoo Finance <https://finance.yahoo.com/>, 
 a vast repository of stock price data across multiple financial exchanges. The package offers a local caching system
 and support for parallel computation.
URL: https://github.com/msperlin/yfR
BugReports: https://github.com/msperlin/yfR/issues
Depends:
    R (>= 4.1)
Imports: stringr, curl, tidyr, 
    lubridate, furrr, purrr, future, tibble, zoo,
    cli, readr, rvest, dplyr, quantmod
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 7.1.2
Suggests: 
    knitr,
    rmarkdown,
    testthat (>= 3.0.0),
    ggplot2,
    covr
VignetteBuilder: knitr
Config/testthat/edition: 3

• Please indicate which category or categories from our package fit policies this package falls under: (Please check an appropriate box below. If you are unsure, we suggest you make a pre-submission inquiry.):

  • data retrieval
  • data extraction
  • data munging
  • data deposition
  • workflow automation
  • version control
  • citation management and bibliometrics
  • scientific software wrappers
  • field and lab reproducibility tools
  • database software bindings
  • geospatial data
  • text analysis

• Explain how and why the package falls under these categories (briefly, 1-2 sentences):

Package yfR retrieves and organizes data from Yahoo Finance, a large repository for stock price data.

• Who is the target audience and what are scientific applications of this package?

Target audience are students, researchers and industry practioneers in the field of Finance and Economics.

• Are there other R packages that accomplish the same thing? If so, how does yours differ or meet our criteria for best-in-category?

Package yfR is the second and backwards-incompatible version of BatchGetSymbols, also developed by me. My plan is to first deprecate BatchGetSymbols and later remove it from CRAN and archive it in Github.

Moreover, there are other packages, such as quantmod, that downloads data from Yahoo Finance, but none with similar features to yfR and BatchGetSymbols.

• (If applicable) Does your package comply with our guidance around Ethics, Data Privacy and Human Subjects Research?

Yes.

• If you made a pre-submission inquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.

• Explain reasons for any pkgcheck items which your package is unable to pass.

Unfortinately, I was not able to run pkgcheck locally as I was unable to install (or make) dependency ctags in my Linux Mint 20.3 machine. Nonetheless, I read through and followed all guidelines available in the manual.

Confirm each of the following by checking the box.

• I have read the guide for authors and rOpenSci packaging guide.

This package:

• does not violate the Terms of Service of any service it interacts with.
• has a CRAN and OSI accepted license.
• contains a README with instructions for installing the development version.
• includes documentation with examples for all functions, created with roxygen2.
• contains a vignette with examples of its essential functions and uses.
• has a test suite.
• has continuous integration, including reporting of test coverage using services such as Travis CI, Coveralls and/or CodeCov.

• Do you intend for this package to go on CRAN?

• Do you intend for this package to go on Bioconductor?

• Do you wish to submit an Applications Article about your package to Methods in Ecology and Evolution? If so:

• The package is novel and will be of interest to the broad readership of the journal.
• The manuscript describing the package is no longer than 3000 words.
• You intend to archive the code for the package in a long-term repository which meets the requirements of the journal (see MEE's Policy on Publishing Code)
• (Scope: Do consider MEE's Aims and Scope for your manuscript. We make no guarantee that your manuscript will be within MEE scope.)
• (Although not required, we strongly recommend having a full manuscript prepared when you submit here.)
• (Please do not submit your package separately to Methods in Ecology and Evolution)

• I agree to abide by rOpenSci's Code of Conduct during the review process and in maintaining my package should it be accepted.

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