tidyquant-package: tidyquant: Integrating quantitative financial analysis tools...
In tidyquant: Tidy Quantitative Financial Analysis
tidyquant-package R Documentation
tidyquant: Integrating quantitative financial analysis tools with the tidyverse
Description
The main advantage of tidyquant is to
bridge the gap between the best quantitative resources for collecting and
manipulating quantitative data, xts, quantmod and TTR,
and the data modeling workflow and infrastructure of the tidyverse.
Details
In this package, tidyquant functions and supporting data sets are
provided to seamlessly combine tidy tools with existing quantitative
analytics packages. The main advantage is being able to use tidy
functions with purrr for mapping and tidyr for nesting to extend modeling to
many stocks. See the tidyquant website for more information, documentation
and examples.
Users will probably be interested in the following:
-
Getting Data from the Web: tq_get()
-
Manipulating Data: tq_transmute() and tq_mutate()
-
Performance Analysis and Portfolio Aggregation:
tq_performance() and tq_portfolio()
To learn more about tidyquant, start with the vignettes:
browseVignettes(package = "tidyquant")
Author(s)
Maintainer: Matt Dancho mdancho@business-science.io
Authors:
Davis Vaughan dvaughan@business-science.io
See Also
Useful links:
tidyquant documentation built on Sept. 11, 2024, 7:29 p.m.
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| tidyquant-package | R Documentation |
tidyquant: Integrating quantitative financial analysis tools with the tidyverse
Description
The main advantage of tidyquant is to
bridge the gap between the best quantitative resources for collecting and
manipulating quantitative data, xts, quantmod and TTR,
and the data modeling workflow and infrastructure of the tidyverse.
Details
In this package, tidyquant functions and supporting data sets are
provided to seamlessly combine tidy tools with existing quantitative
analytics packages. The main advantage is being able to use tidy
functions with purrr for mapping and tidyr for nesting to extend modeling to
many stocks. See the tidyquant website for more information, documentation
and examples.
Users will probably be interested in the following:
-
Getting Data from the Web:
tq_get() -
Manipulating Data:
tq_transmute()andtq_mutate() -
Performance Analysis and Portfolio Aggregation:
tq_performance()andtq_portfolio()
To learn more about tidyquant, start with the vignettes:
browseVignettes(package = "tidyquant")
Author(s)
Maintainer: Matt Dancho mdancho@business-science.io
Authors:
Davis Vaughan dvaughan@business-science.io
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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