rb3 (version 0.1.0)

fetch_marketdata: Fetch and process market data

Description

Downloads market data based on a template and parameter combinations, then reads the data into a database.

Usage

fetch_marketdata(
  template,
  force_download = FALSE,
  reprocess = FALSE,
  throttle = FALSE,
  ...
)

Arguments

template

A character string specifying the market data template to use

force_download

A logical value indicating whether to force downloading files even if they already exist in the cache (default is FALSE). If TRUE, the function will download files again even if they were previously downloaded.

reprocess

A logical value indicating whether to reprocess files even if they are already processed (default is FALSE). If TRUE, the function will reprocess the files in the input layer, even if they were previously processed.

throttle

A logical value indicating whether to throttle the download requests (default is FALSE). If TRUE, a 1-second delay is introduced between requests to avoid overwhelming the server.

...

Named arguments that will be expanded into a grid of all combinations to fetch data for

Details

This function performs three main steps:

1. Downloads market data files by creating all combinations of the provided parameters.

2. Processes the downloaded files by reading them into the input layer of the database.

3. Creates the staging layer if configured in the template.

Progress indicators are displayed during both steps, and warnings are shown for combinations that failed to download or produced invalid files.

The throttle parameter is useful for avoiding server overload and ensuring that the requests are sent at a reasonable rate. If set to TRUE, a 1-second delay is introduced between each download request.

The force_download parameter allows you to re-download files even if they already exist in the cache. This can be useful if you want to ensure that you have the latest version of the data or if the files have been modified on the server.

The reprocess parameter allows you to reprocess files even if they have already been processed. This can be useful if you want to ensure that the data is up-to-date.

Examples

if (FALSE) {
fetch_marketdata("b3-cotahist-yearly", year = 2020:2024)
fetch_marketdata("b3-cotahist-daily", refdate = bizseq("2025-01-01", "2025-03-10", "Brazil/B3"))
fetch_marketdata("b3-reference-rates",
  refdate = bizseq("2025-01-01", "2025-03-10", "Brazil/B3"),
  curve_name = c("DIC", "DOC", "PRE")
)
fetch_marketdata("b3-indexes-historical-data",
  throttle = TRUE, index = c("IBOV", "IBXX", "IBXL"),
  year = 2000:2025
)
}