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#' Fundamentals - Metrics
#'
#' @description
#' This function collects daily financial metrics for the specificed tickers.
#' These might include market capitalization, P/E ratios, and more.
#'
#' @inheritParams riingo_prices
#'
#' @param ticker One or more tickers to download financial metrics for.
#'
#' @return
#' A data frame containing the financial metrics for the requested tickers.
#'
#' @family fundamentals
#' @export
#' @examples
#' \dontrun{
#' riingo_fundamentals_metrics(c("AAPL", "MSFT"), start_date = "2020-01-01")
#' }
riingo_fundamentals_metrics <- function(ticker,
start_date = NULL,
end_date = NULL) {
assert_x_inherits(ticker, "ticker", class = "character")
assert_x_inherits_one_of(start_date, "start_date", c("NULL", "character", "Date", "POSIXct"))
assert_x_inherits_one_of(end_date, "end_date", c("NULL", "character", "Date", "POSIXct"))
results <- purrr::map(
.x = ticker,
.f = riingo_fundamentals_metrics_single_safely,
start_date = start_date,
end_date = end_date
)
validate_not_all_null(results)
vctrs::vec_rbind(!!!results)
}
riingo_fundamentals_metrics_single_safely <- function(ticker,
start_date,
end_date) {
riingo_single_safely(
.f = riingo_fundamentals_metrics_single,
ticker = ticker,
start_date = start_date,
end_date = end_date
)
}
riingo_fundamentals_metrics_single <- function(ticker,
start_date,
end_date) {
type <- "tiingo"
endpoint <- "fundamentals-metrics"
# URL construction
riingo_url <- construct_url(
type,
endpoint,
ticker,
startDate = start_date,
endDate = end_date
)
# Download
cont_df <- content_downloader(riingo_url, ticker)
# Clean
riingo_data <- clean_json_df(cont_df, type, endpoint)
# Add ticker
riingo_data_with_ticker <- tibble::add_column(riingo_data, ticker = ticker, .before = 1L)
riingo_data_with_ticker
}
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