l <- list(
list(
ticker = "T",
start_date = lubridate::ymd("2016-05-05"),
start_amt = 1000,
freq = "Never",
add_amt = 0,
reinvest = TRUE
),
list(
ticker = "ADBE",
start_date = lubridate::ymd("2016-05-05"),
start_amt = 1000,
freq = "Never",
add_amt = 0,
reinvest = TRUE
),
list(
ticker = "UNM",
start_date = lubridate::ymd("2016-05-05"),
start_amt = 1000,
freq = "Never",
add_amt = 0,
reinvest = TRUE
),
list(
ticker = "NHI",
start_date = lubridate::ymd("2016-05-05"),
start_amt = 1000,
freq = "Never",
add_amt = 0,
reinvest = TRUE
),
list(
ticker = "VZ",
start_date = lubridate::ymd("2016-05-05"),
start_amt = 1000,
freq = "Never",
add_amt = 0,
reinvest = TRUE
)
)
dat <- purrr::map_dfr(l, run_simulation)
p <- dat %>%
dplyr::mutate(date = lubridate::ymd(date)) %>%
dplyr::group_by(date) %>%
dplyr::summarize(curr_value = sum(curr_value)) %>%
dplyr::ungroup() %>%
dplyr::mutate(
Date = stringr::str_c(date, "\nValue: ", scales::dollar(curr_value, accuracy = .01))
) %>%
ggplot2::ggplot() +
ggplot2::aes(
x = date,
y = curr_value,
label = Date
) +
ggplot2::geom_line(color = "#942911") +
ggplot2::geom_point(color = "#942911") +
ggplot2::theme_classic() +
ggplot2::labs(
title = "Value Over Time of Entire Portfolio"
) +
ggplot2::xlab("Date") +
ggplot2::ylab("Value ($)") +
ggplot2::scale_y_continuous(
labels = scales::dollar_format(accuracy = 1)
) +
ggplot2::theme(
plot.background = ggplot2::element_rect(
fill = "transparent"
),
panel.background = ggplot2::element_rect(
fill = "transparent"
),
aspect.ratio = 0.5
) +
gganimate::transition_reveal(date)
gganimate::animate(p, end_pause = 30)
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