Last data update: 04 sept. 2026, 01:12
Last compile: 04 sept. 2026, 01:14
Instantané quotidien de https://www.investing.com/indices/major-indices : principaux indices boursiers mondiaux. Une ligne par indice et par jour.
Dernier instantané
Code
last_day <- max(stock_indices$scraped_date)
stock_indices |>
filter(scraped_date == last_day) |>
mutate(index = sub(" derived$", "", index)) |>
transmute(Indice = index, Dernier = last, `+ Haut` = high, `+ Bas` = low,
`Var.` = chg, `Var. %` = chg_pct, Heure = quote_time) |>
arrange(Indice) |>
print_table_conditional()
Source : investing.com, instantané du 03 septembre 2026.
Variation du jour
Code
stock_indices |>
filter(scraped_date == max(scraped_date)) |>
mutate(index = sub(" derived$", "", index),
index = fct_reorder(index, chg_pct)) |>
ggplot(aes(x = index, y = chg_pct, fill = chg_pct > 0)) +
geom_col() +
scale_fill_manual(values = c(`FALSE` = "#c0392b", `TRUE` = "#27ae60"),
guide = "none") +
coord_flip() + theme_minimal() +
xlab("") + ylab("Variation du jour (%)")
Évolution (base 100)
Code
sel <- c("CAC 40", "Dow Jones", "Nasdaq", "DAX derived",
"FTSE 100 derived", "Nikkei 225 derived")
d <- stock_indices |> filter(index %in% sel)
if (n_distinct(d$scraped_date) < 2) {
knitr::asis_output(paste0(
"_Série trop courte (", n_distinct(d$scraped_date),
" relevé) — le graphique se remplira au fil des instantanés quotidiens._"))
} else {
d |>
mutate(index = sub(" derived$", "", index)) |>
group_by(index) |>
arrange(scraped_date) |>
mutate(idx = 100 * last / first(last)) |>
ggplot() + geom_line(aes(x = scraped_date, y = idx, color = index)) +
theme_minimal() + xlab("") + ylab("Base 100") +
scale_color_viridis_d() +
theme(legend.position = "bottom", legend.title = element_blank())
}