Candlestick Charts in Julia

The candlestick chart is a style of financial chart describing open, high, low and close for a given x coordinate (most likely time). The boxes represent the spread between the open and close values and the lines represent the spread between the low and high values. Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing candles are drawn in green whereas decreasing are drawn in red.

Simple Candlestick with Pandas

using PlotlyJS, CSV, DataFrames, HTTP

df = CSV.File(
    HTTP.get("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv").body
) |> DataFrame

plot(candlestick(
        x=df[!, "Date"],
        open=df[!, "AAPL.Open"],
        high=df[!, "AAPL.High"],
        low=df[!, "AAPL.Low"],
        close=df[!, "AAPL.Close"]
    )
)

Candlestick without Rangeslider

using PlotlyJS, CSV, DataFrames, HTTP

df = CSV.File(
    HTTP.get("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv").body
) |> DataFrame

plot(candlestick(
        x=df[:, "Date"],
        open=df[:, "AAPL.Open"],
        high=df[:, "AAPL.High"],
        low=df[:, "AAPL.Low"],
        close=df[:, "AAPL.Close"]
    ),
    Layout(xaxis_rangeslider_visible=false)
)

Adding Customized Text and Annotations

using PlotlyJS, CSV, DataFrames, HTTP

df = CSV.File(
    HTTP.get("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv").body
) |> DataFrame

plot(candlestick(
        x=df[:, "Date"],
        open=df[:, "AAPL.Open"],
        high=df[:, "AAPL.High"],
        low=df[:, "AAPL.Low"],
        close=df[:, "AAPL.Close"]
    ),
    Layout(
        title="The Great Recession",
        yaxis_title="AAPL Stock",
        shapes=[attr(
            x0="2016-12-09", x1="2016-12-09", y0=0, y1=1, xref="x", yref="paper",
            line_width=2
        )],
        annotations=[attr(
            x="2016-12-09", y=0.05, xref="x", yref="paper",
            showarrow=false, xanchor="left", text="Increase Period Begins"
        )]
    )
)

Custom Candlestick Colors

using PlotlyJS, CSV, DataFrames, HTTP

df = CSV.File(
    HTTP.get("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv").body
) |> DataFrame

plot(candlestick(
        x=df[:, "Date"],
        open=df[:, "AAPL.Open"],
        high=df[:, "AAPL.High"],
        low=df[:, "AAPL.Low"],
        close=df[:, "AAPL.Close"],
        increasing_line_color="cyan",
        decreasing_line_color="gray"
    )
)

Simple Example with Date Objects

using PlotlyJS, Dates

open_data = [33.0, 33.3, 33.5, 33.0, 34.1]
high_data = [33.1, 33.3, 33.6, 33.2, 34.8]
low_data = [32.7, 32.7, 32.8, 32.6, 32.8]
close_data = [33.0, 32.9, 33.3, 33.1, 33.1]

dates = [
    Date(2013, 10, 10),
    Date(2013, 11, 10),
    Date(2013, 12, 10),
    Date(2014, 1, 10),
    Date(2014, 2, 10)
]

plot(candlestick(
    x=dates,
    open=open_data, high=high_data,
    low=low_data, close=close_data
))

Reference

For more information on candlestick attributes, see: https://plotly.com/julia/reference/candlestick/