library(quantmod)
library(tidyverse)
#collect the ticker from the data frame e paste with "-USD" to use it on getSymbols
coins_portfolio <-paste0(crypto$ticker,"-USD") # eg SOL-USD, ETH-USD
#add the new tickers to dataframe
crypto$quantmod <- coins_portfolio
#create a name for every coin in order to collect data
nomi_df <- paste0(tolower(crypto$ticker),"_data")
#start date to collect
start_coin <- as.Date("2024-01-01")
#end date to collect
end_date <- Sys.Date()
for(i in 1:nrow(crypto)){
nomi_df[i]<- getSymbols(crypto$quantmod[i],src="yahoo",from=start_coin, to= end_date, auto.assign = FALSE)
}
我想收集6种不同加密货币的数据,并将它们收集在6个不同的数据帧中,如上面的代码所示
library(tidyquant)
tickers <- c("SOL", "ETH")
tq_get(str_c(tickers, "-USD"), from = "2024-01-01")
# A tibble: 96 × 8
symbol date open high low close volume adjusted
<chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 SOL-USD 2024-01-01 102. 110. 102. 110. 2157671990 110.
2 SOL-USD 2024-01-02 110. 117. 106. 107. 3782057553 107.
3 SOL-USD 2024-01-03 107. 110. 92.9 98.6 5472216595 98.6
4 SOL-USD 2024-01-04 98.6 108. 97.1 105. 3272723247 105.
5 SOL-USD 2024-01-05 105. 105. 95.9 100. 3022127826 100.
6 SOL-USD 2024-01-06 100. 100. 92.0 93.9 2235902092 93.9
7 SOL-USD 2024-01-07 93.9 96.7 88.2 89.3 2288061692 89.3
8 SOL-USD 2024-01-08 89.3 99.8 85.6 97.8 4152448360 97.8
9 SOL-USD 2024-01-09 97.8 104. 95.9 99.4 4070131683 99.4
10 SOL-USD 2024-01-10 99.4 105. 92.6 102. 4216429514 102.
# ℹ 86 more rows
# ℹ Use `print(n = ...)` to see more rows