# **Last observation**: 2020-12-01 (N = 125)
#
# **First observation**: 1977-10-31 (N = 1)
#
# **Last data update**: 01 aoû 2026, 21:28. **Last compile**: 15 aoû 2026, 15:00
Currency Crosses with Dollar - currency_crosses_USA
Data - Investing
Info
name
Code
currency_crosses_USD |>
left_join(name, by = "name") |>
group_by(name, Name) |>
summarise(Nobs = n()) |>
arrange(-Nobs) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}US Dollar Pound, Swiss Franc
All
Code
currency_crosses_USD |>
filter(Currency %in% c("EUR", "CHF", "GBP")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
2010-
Code
currency_crosses_USD |>
filter(Currency %in% c("EUR", "CHF", "GBP"),
date >= as.Date("2010-01-01")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
2018-
Code
currency_crosses_USD |>
filter(Currency %in% c("EUR", "CHF", "GBP"),
date >= as.Date("2018-01-01")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %Y")) +
scale_y_log10(breaks = seq(0, 3, 0.05),
labels = dollar_format(accuracy = 0.01, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.65, 0.9),
legend.title = element_blank())
Australian, Canadian, New Zealand Dollars
All
Code
currency_crosses_USD |>
filter(Currency %in% c("AUD", "NZD", "CAD")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
2010-
Code
currency_crosses_USD |>
filter(Currency %in% c("AUD", "NZD", "CAD"),
date >= as.Date("2010-01-01")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
2018-
Code
currency_crosses_USD |>
filter(Currency %in% c("AUD", "NZD", "CAD"),
date >= as.Date("2018-01-01")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %Y")) +
scale_y_log10(breaks = seq(0, 3, 0.05),
labels = dollar_format(accuracy = 0.01, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.25, 0.9),
legend.title = element_blank())
Canada, Japan, United States
2018-
Code
currency_crosses_USD |>
filter(Currency %in% c("CAD", "USD", "JPY"),
date >= as.Date("2018-03-01")) |>
left_join(name, by = "name") |>
group_by(Currency) |>
mutate(Close = 100*Close /Close[date == as.Date("2020-03-01")]) |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("100 = January 1, 2020") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %Y")) +
scale_y_log10(breaks = seq(80, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.2, 0.2),
legend.title = element_blank()) +
geom_hline(yintercept = 100, linetype = "dashed", color = "black")
2020-
Code
currency_crosses_USD |>
filter(Currency %in% c("CAD", "USD", "JPY"),
date >= as.Date("2020-03-01")) |>
left_join(name, by = "name") |>
group_by(Currency) |>
mutate(Close = 100*Close /Close[date == as.Date("2020-03-01")]) |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("100 = January 1, 2020") +
scale_x_date(breaks = "1 month",
labels = date_format("%b %Y")) +
scale_y_log10(breaks = seq(80, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.2),
legend.title = element_blank()) +
geom_hline(yintercept = 100, linetype = "dashed", color = "black")
Canada, United States
Code
currency_crosses_USD |>
filter(Currency %in% c("CAD", "EUR"),
date >= as.Date("2018-01-01")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close, color = Name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %Y")) +
scale_y_log10(breaks = seq(0, 3, 0.05),
labels = dollar_format(accuracy = 0.01, prefix = "")) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.position = c(0.25, 0.9),
legend.title = element_blank())
Yen
Code
currency_crosses_USD |>
filter(Currency %in% c("JPY"),
date >= as.Date("2018-01-01")) |>
left_join(name, by = "name") |>
ggplot() + geom_line(aes(x = date, y = Close)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %Y")) +
scale_y_log10(breaks = seq(0, 300, 5),
labels = dollar_format(accuracy = 1, prefix = "")) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.position = c(0.25, 0.9),
legend.title = element_blank())