Commodities

Data - yahoo

Author

Info

source	dataset	Title	.html	.rData
yahoo	commodities	Commodities	2026-01-30	2026-01-30

LAST_COMPILE

LAST_COMPILE
2026-01-31

Last

date	Nobs
2026-01-31	2

symbol

symbol	Symbol	Nobs
BTC-EUR	Bitcoin EUR	4155
BTC-USD	Bitcoin USD Price	4155
CL=F	Crude Oil Futures	6387
GC=F	Gold futures	6378

Bitcoin price

Linear

All

Code

commodities %>%
  filter(symbol %in% c("BTC-EUR", "BTC-USD")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9)) +
  scale_y_continuous(breaks = seq(0, 200000, 5000),
                     labels = dollar_format(pre = "")) + 
  scale_x_date(breaks = as.Date(paste0(seq(1945, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Bitcoin")

2021-

Code

commodities %>%
  filter(symbol %in% c("BTC-EUR", "BTC-USD"),
         date >= as.Date("2021-01-01")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9)) +
  scale_y_continuous(breaks = seq(0, 200000, 5000),
                     labels = dollar_format(pre = "")) + 
  scale_x_date(breaks = as.Date(paste0(seq(1945, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("")

Log

All

Code

commodities %>%
  filter(symbol %in% c("BTC-EUR", "BTC-USD")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.9)) +
  scale_y_log10(breaks = 100*c(1, 2, 3, 5, 8, 10, 20, 50, 100, 200, 500, 1000),
                     labels = dollar_format(pre = "", acc = 1)) + 
  scale_x_date(breaks = as.Date(paste0(seq(1945, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Bitcoin in Euro")

2021-

Code

commodities %>%
  filter(symbol %in% c("BTC-EUR", "BTC-USD"),
         date >= as.Date("2021-01-01")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9)) +
  scale_y_log10(breaks = 10000*c(1, 2, 3, 4, 5, 8, 10, 20, 50, 100, 200, 500),
                     labels = dollar_format(pre = "", acc = 1)) + 
  scale_x_date(breaks = as.Date(paste0(seq(1945, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("")

Gold price

Linear

All

Code

commodities %>%
  filter(symbol %in% c("GC=F")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9)) +
  scale_y_continuous(breaks = seq(0, 100000, 200),
                     labels = dollar_format(pre = "", su = "€")) + 
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Bitcoin")

2021-

Code

commodities %>%
  filter(symbol %in% c("GC=F"),
         date >= as.Date("2021-01-01")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9)) +
  scale_y_continuous(breaks = seq(0, 10000, 200),
                     labels = dollar_format(pre = "", su = "€")) + 
  scale_x_date(breaks = as.Date(paste0(seq(1945, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Price per Megawatt-Hour")

Log

All

Code

commodities %>%
  filter(symbol %in% c("GC=F")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.9)) +
  scale_y_log10(breaks = 100*c(1, 2, 3, 5, 8, 10, 15, 20, 25, 50, 100, 200, 500),
                     labels = dollar_format(pre = "", su = "€", acc = 1)) + 
  scale_x_date(breaks = as.Date(paste0(seq(1945, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Bitcoin in Euro")

2021-

Code

commodities %>%
  filter(symbol %in% c("GC=F"),
         date >= as.Date("2021-01-01")) %>%
  left_join(symbol, by = "symbol") %>%
  ggplot() + geom_line(aes(x = date, y = close, color = Symbol)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9)) +
  scale_y_log10(breaks = seq(200, 4000, 200),
                     labels = dollar_format(pre = "", su = "€", acc = 1)) + 
  scale_x_date(breaks = as.Date(paste0(seq(1945, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("")