rtsdata: R Time Series Intelligent Data Storage

A tool that allows to download and save historical time series data for future use offline. The intelligent updating functionality will only download the new available information; thus, saving you time and Internet bandwidth. It will only re-download the full data-set if any inconsistencies are detected. This package supports following data provides: 'Yahoo' (finance.yahoo.com), 'FRED' (fred.stlouisfed.org), 'Quandl' (data.nasdaq.com), 'AlphaVantage' (www.alphavantage.co), 'Tiingo' (www.tiingo.com).

Version: 0.1.4
Depends: xts
Imports: quantmod, zoo, Quandl, anytime, data.table, mongolite, brotli, curl
Suggests: RQuantLib
Published: 2023-09-25
DOI: NA
Author: RTSVizTeam [aut, cph], Irina Kapler [cre]
Maintainer: Irina Kapler <irkapler at gmail.com>
BugReports: https://bitbucket.org/rtsvizteam/rtsdata/issues
License: MIT + file LICENSE
URL: https://bitbucket.org/rtsvizteam/rtsdata
NeedsCompilation: no
Materials: README NEWS
CRAN checks: rtsdata results

Documentation:

Reference manual: rtsdata.pdf

Downloads:

Package source: rtsdata_0.1.4.tar.gz
Windows binaries: r-devel: rtsdata_0.1.4.zip, r-release: rtsdata_0.1.4.zip, r-oldrel: rtsdata_0.1.4.zip
macOS binaries: r-release (arm64): rtsdata_0.1.4.tgz, r-oldrel (arm64): rtsdata_0.1.4.tgz, r-release (x86_64): rtsdata_0.1.4.tgz, r-oldrel (x86_64): rtsdata_0.1.4.tgz
Old sources: rtsdata archive

Linking:

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