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Currency converter

Source: R/others.R
currency_converter.Rd

Retrieve current conversion rate between two currencies as well as historical rates.

Usage

currency_converter(
  from = "EUR",
  to = "USD",
  start = NULL,
  end = NULL,
  period = "ytd",
  interval = "1d"
)

Arguments

from

Currency to convert from.

to

Currency to convert to.

start

Specific starting date. String or date object in yyyy-mm-dd format.

end

Specific ending date. String or date object in yyyy-mm-dd format.

period

Length of time. Defaults to 'ytd' Valid values are:

  • '1d'

  • '5d'

  • '1mo'

  • '3mo'

  • '6mo'

  • '1y'

  • '2y'

  • '5y'

  • '10y'

  • 'ytd'

  • 'max'

interval

Time between data points. Defaults to '1d' Valid values are:

  • '1h'

  • '1d'

  • '5d'

  • '1wk'

  • '1mo'

  • '3mo'

Value

A data.frame.

Examples

# \donttest{
currency_converter('GBP', 'USD', '2022-07-01', '2022-07-10')
#>                  date     high      low     open    close volume adj_close
#> 1 2022-06-30 23:00:00 1.216205 1.198064 1.215998 1.216086      0  1.216086
#> 2 2022-07-03 23:00:00 1.216515 1.208634 1.210580 1.210273      0  1.210273
#> 3 2022-07-04 23:00:00 1.212606 1.190051 1.211402 1.211446      0  1.211446
#> 4 2022-07-05 23:00:00 1.198638 1.187761 1.194957 1.194914      0  1.194914
#> 5 2022-07-06 23:00:00 1.202183 1.191001 1.191895 1.192321      0  1.192321
#> 6 2022-07-07 23:00:00 1.205531 1.192194 1.203196 1.202805      0  1.202805
currency_converter('GBP', 'USD', period = '1mo', interval = '1d')
#>                   date     high      low     open    close volume adj_close
#> 1  2022-08-21 23:00:00 1.183852 1.174260 1.181768 1.181810      0  1.181810
#> 2  2022-08-22 23:00:00 1.187324 1.172003 1.176706 1.176651      0  1.176651
#> 3  2022-08-23 23:00:00 1.186535 1.175876 1.183152 1.183278      0  1.183278
#> 4  2022-08-24 23:00:00 1.186296 1.178592 1.179023 1.179176      0  1.179176
#> 5  2022-08-25 23:00:00 1.190009 1.175309 1.182592 1.182401      0  1.182401
#> 6  2022-08-28 23:00:00 1.174260 1.164958 1.169180 1.169454      0  1.169454
#> 7  2022-08-29 23:00:00 1.175807 1.162304 1.172127 1.172251      0  1.172251
#> 8  2022-08-30 23:00:00 1.169454 1.160025 1.166086 1.165977      0  1.165977
#> 9  2022-08-31 23:00:00 1.161710 1.150324 1.159689 1.159851      0  1.159851
#> 10 2022-09-01 23:00:00 1.158856 1.153136 1.154734 1.154894      0  1.154894
#> 11 2022-09-04 23:00:00 1.152074 1.144518 1.147855 1.147460      0  1.147460
#> 12 2022-09-05 23:00:00 1.160766 1.149624 1.156885 1.156644      0  1.156644
#> 13 2022-09-06 23:00:00 1.152366 1.140953 1.151278 1.151185      0  1.151185
#> 14 2022-09-07 23:00:00 1.156016 1.146158 1.152246 1.151981      0  1.151981
#> 15 2022-09-08 23:00:00 1.164863 1.151662 1.152047 1.152160      0  1.152160
#> 16 2022-09-11 23:00:00 1.171125 1.160174 1.161805 1.161940      0  1.161940
#> 17 2022-09-12 23:00:00 1.173764 1.152034 1.168975 1.168975      0  1.168975
#> 18 2022-09-13 23:00:00 1.158937 1.148079 1.150351 1.150616      0  1.150616
#> 19 2022-09-14 23:00:00 1.154868 1.146986 1.154294 1.154494      0  1.154494
#> 20 2022-09-15 23:00:00 1.148066 1.135267 1.145475 1.145265      0  1.145265
#> 21 2022-09-18 23:00:00 1.144165 1.135576 1.143641 1.143314      0  1.143314
#> 22 2022-09-20 06:22:17 1.145974 1.140823 1.143602 1.142923      0  1.142923
# }