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: