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' (<https://finance.yahoo.com>), 'FRED' (<https://fred.stlouisfed.org>), 'Quandl' (<https://www.quandl.com>), 'AlphaVantage' (<https://www.alphavantage.co>), 'Tiingo' (<https://www.tiingo.com>).

Version: 0.1.2
Depends: xts
Imports: quantmod, zoo, alfred, Quandl, anytime, data.table, mongolite, brotli, curl
Suggests: RQuantLib
Published: 2020-01-24
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


Reference manual: rtsdata.pdf
Package source: rtsdata_0.1.2.tar.gz
Windows binaries: r-devel: rtsdata_0.1.2.zip, r-release: rtsdata_0.1.2.zip, r-oldrel: rtsdata_0.1.2.zip
macOS binaries: r-release: rtsdata_0.1.2.tgz, r-oldrel: rtsdata_0.1.2.tgz
Old sources: rtsdata archive


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