#' Load example portfolio
#'
load_example_portfolio <- function() {
dplyr::tribble(
~Stock, ~Ticker, ~Date, ~Price, ~Stocks, ~Country, ~Currency, ~ETF, ~Type, ~Sector, ~Cap, ~Broker, ~Rate, ~Marked_value, ~Weight,
"TESLA INC", "TSLA", "2021-11-15", 1018, 10, "USA", "USD", "No", "Growth", "Consumer Discretionary", "Large", "Saxo Bank", NA, NA, NA,
"JOHNSON & JOHNSON", "JNJ", "2021-12-14", 168, 50, "USA", "USD", "No", "Value", "Health Care", "Large", "Nordnet", NA, NA, NA,
"NOVO NORDISK CLASS B", "NOVO-B.CO", "2022-01-03", 747, 100, "Denmark", "DKK", "No", "Growth", "Health Care", "Large", "Danske Bank", NA, NA, NA,
"ADIDAS N AG", "ADS.DE", "2022-01-03", 254, 10, "Germany", "EUR", "No", "Value", "Consumer Discretionary", "Large", "Saxo Bank", NA, NA, NA,
"VOLVO CLASS B", "VOLV-B.ST", "2022-01-03", 210, 100, "Sweden", "SEK", "No", "Value", "Consumer Discretionary", "Large", "Saxo Bank", NA, NA, NA
) %>%
dplyr::mutate(Date = as.Date(Date)) %>%
as.data.frame() ## Setting row names on a tibble is deprecated so converting to data.frame
}
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