Detect the exchange of a given transaction file and format it with the proper function for later ACB processing.
Usage
format_detect(data, ...)
# S3 method for class 'data.frame'
format_detect(data, list.prices = NULL, force = FALSE, ...)
# S3 method for class 'list'
format_detect(data, list.prices = NULL, force = FALSE, ...)
Examples
format_detect(data_shakepay)
#> Exchange detected: shakepay
#> date currency quantity total.price spot.rate transaction
#> 1 2021-05-07 14:50:41 BTC 0.00103982 53.069740 51002.43 buy
#> 2 2021-05-08 12:12:57 BTC 0.00011000 5.784024 52582.03 revenue
#> 3 2021-05-09 12:22:07 BTC 0.00012000 6.034441 50287.01 revenue
#> 4 2021-05-21 12:47:14 BTC 0.00013000 7.348590 56527.62 revenue
#> 5 2021-06-11 12:03:31 BTC 0.00014000 8.396927 59978.05 revenue
#> 6 2021-06-23 12:21:49 BTC 0.00015000 8.852574 59017.16 revenue
#> 7 2021-07-10 00:52:19 BTC 0.00052991 31.268470 59007.14 sell
#> description comment revenue.type exchange rate.source
#> 1 Buy Bought @ $51,002.432 CAD <NA> shakepay exchange
#> 2 Reward ShakingSats airdrops shakepay exchange
#> 3 Reward ShakingSats airdrops shakepay exchange
#> 4 Reward ShakingSats airdrops shakepay exchange
#> 5 Reward ShakingSats airdrops shakepay exchange
#> 6 Reward ShakingSats airdrops shakepay exchange
#> 7 Sell Bought @ $59,007.14 CAD <NA> shakepay exchange
format_detect(data_newton)
#> Exchange detected: newton
#> date currency quantity total.price spot.rate transaction
#> 1 2021-04-04 22:50:12 LTC 0.1048291 23.4912731 224.0911 buy
#> 2 2021-04-04 22:53:46 CAD 25.0000000 25.0000000 1.0000 revenue
#> 3 2021-04-04 22:55:55 ETH 2.7198712 3423.8221510 1258.8178 buy
#> 4 2021-04-21 19:57:26 BTC 0.0034300 153.1241354 44642.6051 buy
#> 5 2021-05-12 21:37:42 BTC 0.0000040 0.3049013 76225.3175 buy
#> 6 2021-05-12 21:52:40 BTC 0.0032130 156.1241341 48591.3894 sell
#> 7 2021-06-16 18:49:11 CAD 25.0000000 25.0000000 1.0000 revenue
#> description revenue.type exchange rate.source
#> 1 TRADE <NA> newton exchange
#> 2 Referral Program referrals newton exchange
#> 3 TRADE <NA> newton exchange
#> 4 TRADE <NA> newton exchange
#> 5 TRADE <NA> newton exchange
#> 6 TRADE <NA> newton exchange
#> 7 Referral Program referrals newton exchange
format_detect(list(data_shakepay, data_newton))
#> Exchange detected: shakepay
#> Exchange detected: newton
#> date currency quantity total.price spot.rate transaction
#> 1 2021-04-04 22:50:12 LTC 0.10482910 23.4912731 224.0911 buy
#> 2 2021-04-04 22:53:46 CAD 25.00000000 25.0000000 1.0000 revenue
#> 3 2021-04-04 22:55:55 ETH 2.71987120 3423.8221510 1258.8178 buy
#> 4 2021-04-21 19:57:26 BTC 0.00343000 153.1241354 44642.6051 buy
#> 5 2021-05-07 14:50:41 BTC 0.00103982 53.0697400 51002.4318 buy
#> 6 2021-05-08 12:12:57 BTC 0.00011000 5.7840236 52582.0324 revenue
#> 7 2021-05-09 12:22:07 BTC 0.00012000 6.0344409 50287.0079 revenue
#> 8 2021-05-12 21:37:42 BTC 0.00000400 0.3049013 76225.3175 buy
#> 9 2021-05-12 21:52:40 BTC 0.00321300 156.1241341 48591.3894 sell
#> 10 2021-05-21 12:47:14 BTC 0.00013000 7.3485904 56527.6188 revenue
#> 11 2021-06-11 12:03:31 BTC 0.00014000 8.3969267 59978.0477 revenue
#> 12 2021-06-16 18:49:11 CAD 25.00000000 25.0000000 1.0000 revenue
#> 13 2021-06-23 12:21:49 BTC 0.00015000 8.8525743 59017.1621 revenue
#> 14 2021-07-10 00:52:19 BTC 0.00052991 31.2684700 59007.1441 sell
#> description comment revenue.type exchange rate.source
#> 1 TRADE <NA> <NA> newton exchange
#> 2 Referral Program <NA> referrals newton exchange
#> 3 TRADE <NA> <NA> newton exchange
#> 4 TRADE <NA> <NA> newton exchange
#> 5 Buy Bought @ $51,002.432 CAD <NA> shakepay exchange
#> 6 Reward ShakingSats airdrops shakepay exchange
#> 7 Reward ShakingSats airdrops shakepay exchange
#> 8 TRADE <NA> <NA> newton exchange
#> 9 TRADE <NA> <NA> newton exchange
#> 10 Reward ShakingSats airdrops shakepay exchange
#> 11 Reward ShakingSats airdrops shakepay exchange
#> 12 Referral Program <NA> referrals newton exchange
#> 13 Reward ShakingSats airdrops shakepay exchange
#> 14 Sell Bought @ $59,007.14 CAD <NA> shakepay exchange