In next-game-solutions/geckor: R Client for the 'CoinGecko' API

knitr::opts_chunk$set(
  error = TRUE,
  collapse = TRUE,
  comment = "#>",
  eval = FALSE
)

library(geckor)

The CoinGecko API allows one to query market data on cryptocurrencies in real time. geckor has several functions that can be used to collect such data.

The current prices for a set of cryptocurrencies of interest can be queried using the current_price() function. The function expects two important arguments: coin_ids (a character vector with coin IDs; see ?supported_coins for details) and vs_currencies (a character vector with abbreviated names of reference currencies used to express the coin price; see ?supported_currencies for details). In the example below, we request the current prices for Cardano, Tron, and Polkadot, expressed in USD, EUR, and GBP:

prices <- current_price(
  coin_ids = c("cardano", "tron", "polkadot"),
  vs_currencies = c("usd", "eur", "gbp")
)

print(prices)

See ?current_price for the definitions of the columns in the resulting tibble.

The exchange_rate() function can be used to obtain the current exchange rates for any supported reference currency, expressed in Bitcoin. The currency argument of this function specifies the list of currencies of interest. If currency = NULL, data for all supported currencies will be returned:

all_rates <- exchange_rate(currency = NULL)
head(all_rates, 10)

some_rates <- exchange_rate(currency = c("btc", "usd", "rub"))
print(some_rates)

The current_market() function retrieves a rich set of data points describing the current market status of the cryptocurrencies of interest. Let's collect such data for Cardano, Tron, and Polkadot:

cm <- current_market(
  coin_ids = c("cardano", "tron", "polkadot"),
  vs_currency = "usd"
)

dplyr::glimpse(cm)

See ?current_market for the definitions of the columns in the resultant tibble.

The coin_tickers() function allows one to query the current data on all trading pairs of a cryptocurrency from a given exchange. In the example below, we collect such data for Cardano traded at Binance:

cardano_tickers <- coin_tickers(
  coin_id = "cardano",
  exchange_id = "binance"
)

dplyr::glimpse(cardano_tickers)

See ?coin_tickers for definitions of columns in the resultant tibble.

Finally, one can use the trending_coins() function to obtain a list of top-7 trending coins in terms of their search popularity on CoinGecko:

trending_coins()

next-game-solutions/geckor documentation built on April 27, 2023, 10:59 a.m.