Formats transaction data with Adjusted Cost Base (ACB), along with ACB per share and realized capital gains or losses.
Usage
format_ACB(
data,
as.revenue = c("staking", "interests", "mining"),
sup.loss = TRUE,
cl = NULL,
verbose = TRUE
)Arguments
- data
The dataframe
- as.revenue
Which should be treated as revenue, in list of
c("staking", "interests", "mining").- sup.loss
Logical, whether to take superficial losses into account.
- cl
Number of cores to use for parallel processing.
- verbose
Logical: if
FALSE, does not print progress bar or warnings to console.
Examples
all.data <- format_shakepay(data_shakepay)
format_ACB(all.data, verbose = FALSE)
#> # A tibble: 7 × 26
#> # Groups: currency [1]
#> date currency quantity total.price spot.rate transaction fees
#> <dttm> <chr> <dbl> <dbl> <dbl> <chr> <dbl>
#> 1 2021-05-07 14:50:41 BTC 0.00104 53.1 51002. buy 0
#> 2 2021-05-08 12:12:57 BTC 0.00011 0 52582. revenue 0
#> 3 2021-05-09 12:22:07 BTC 0.00012 0 50287. revenue 0
#> 4 2021-05-21 12:47:14 BTC 0.00013 0 56528. revenue 0
#> 5 2021-06-11 12:03:31 BTC 0.00014 0 59978. revenue 0
#> 6 2021-06-23 12:21:49 BTC 0.00015 0 59017. revenue 0
#> 7 2021-07-10 00:52:19 BTC 0.000530 31.3 59007. sell 0
#> # ℹ 19 more variables: description <chr>, comment <chr>, revenue.type <chr>,
#> # value <dbl>, exchange <chr>, rate.source <chr>, currency2 <chr>,
#> # total.quantity <dbl>, suploss.range <Interval>, quantity.60days <dbl>,
#> # share.left60 <dbl>, sup.loss.quantity <dbl>, sup.loss <lgl>,
#> # gains.uncorrected <dbl>, gains.sup <lgl>, gains.excess <lgl>, gains <dbl>,
#> # ACB <dbl>, ACB.share <dbl>