Predictive Hacks

How to get Cryptocurrency prices in R

cryptocurrency

Today, we will show how you can easily get the Cryptocurrency Prices using R. We will work with the crypto package.

You can install the crypto package from GitHub:

# Installing via Github
devtools::install_github("jessevent/crypto")
 


How to get the list of the Cryptocurrencies

library(crypto)
library(tidyverse)
list_coins<-crypto_list()

# Print 10 of them
list_coins%>%head(10)%>%select(symbol, name)
 
   symbol name             
 1 BTC    Bitcoin     
 2 ETH    Ethereum    
 3 XRP    XRP         
 4 USDT   Tether      
 5 BCH    Bitcoin Cash
 6 BSV    Bitcoin SV  
 7 LTC    Litecoin    
 8 ADA    Cardano     
 9 LINK   Chainlink   
10 BNB    Binance Coin
 


How to get the Cryptocurrency Prices


Let’s say that I am interested in BTC, XRP, BCH and LTC and I want to get their daily values from 2020-01-01 onwards.

btc<-crypto_history(coin = 'BTC', start_date = "20200101")
xrp<-crypto_history(coin = 'XRP', start_date = "20200101")
bch<-crypto_history(coin = 'BCH', start_date = "20200101")
ltc<-crypto_history(coin = 'LTC', start_date = "20200101")

df<-rbind(btc,xrp,bch,ltc)

df%>%head()
slugsymbolnamedateranknowopenhighlowclosevolumemarketclose_ratiospread
bitcoinBTCBitcoin1/1/202017194.897254.337174.947200.17185656649971.306E+110.3177982179.39
bitcoinBTCBitcoin1/2/202017202.557212.166935.276985.47208020834651.267E+110.18129943276.89
bitcoinBTCBitcoin1/3/202016984.437413.7269157344.88281114810321.332E+110.86196663498.72
bitcoinBTCBitcoin1/4/202017345.387427.397309.517410.66184442712751.344E+110.85807601117.88
bitcoinBTCBitcoin1/5/202017410.457544.57400.547411.32197250740951.345E+110.07488191143.96
bitcoinBTCBitcoin1/6/202017410.457781.877409.297769.22232762615981.41E+110.96604756372.58

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