LightweightCharts is a convenient Julia wrapper for the Lightweight Charts™ library by TradingView, Inc., designed to output graphical data to an HTML page.
To install LightweightCharts, simply use the Julia package manager:
] add LightweightChartsSimple line chart with styling options:
using LightweightCharts
t_values = round(Int64, time()) .+ collect(1:500)
x_values = sin.((1:500) / 10)
chart = lwc_line(
t_values,
x_values;
label_name = "lwc_line",
line_color = "orange",
line_width = 4,
line_style = LWC_SOLID,
line_type = LWC_STEP,
price_scale_id = LWC_LEFT,
plugins = LWCPlugin[
lwc_trend_line(100, 0.32, 200, 0.86; line_color = "#9d4edd"),
# lwc_delta_tooltip(),
# lwc_vert_line(150),
# lwc_crosshair_highlight_bar(),
# lwc_tooltip(; title = "my_tooltip")
],
)
lwc_show(chart)
The package also support custom data types (for more information, see the documentation). In the following example we used TimeArrays to smooth prices:
using TimeArrays
using LightweightCharts
julia> prices = ta_price_sample_data()
7777-element TimeArray{DateTime, Float64}:
TimeTick(2024-04-01T00:00:00.661, 0.6501)
TimeTick(2024-04-01T00:05:57.481, 0.6505)
⋮
TimeTick(2024-04-30T23:42:11.920, 0.4417)
panel = lwc_panel(
lwc_line(
prices;
label_name = "price",
line_color = "#adb5bd",
line_type = LWC_STEP,
precision = 4,
),
lwc_line(
ta_sma(prices, 20);
label_name = "sma price",
line_color = "red",
precision = 4,
),
lwc_line(
ta_wma(prices, 20);
label_name = "wma price",
line_color = "orange",
precision = 4,
),
lwc_line(
ta_ema(prices, 20);
label_name = "ema price",
line_color = "green",
precision = 4,
);
name = "LightweightCharts ❤️ TimeArrays",
)
lwc_show(panel)
Composite layout featuring diverse chart types:
using Dates, NanoDates
using LightweightCharts
layout = lwc_layout(
lwc_panel(
lwc_area(
NanoDate("2024-01-01") .+ Second.(1:500),
map(x -> rand(1:500), collect(1:500));
label_name = "lwc_area",
line_color = "#49c7e3",
top_color = "#74d7ed",
bottom_color = "#85f2f000",
line_style = LWC_SOLID,
line_type = LWC_STEP,
line_width = 2,
precision = 3,
price_scale_id = LWC_LEFT,
),
lwc_line(
NanoDate("2024-01-01") .+ Second.(1:500),
map(x -> rand(1:500), collect(1:500));
label_name = "lwc_line",
line_color = "#ff5752",
line_style = LWC_DASHED,
line_type = LWC_SIMPLE,
line_width = 3,
price_scale_id = LWC_RIGHT,
);
x = 1,
y = 1,
),
lwc_panel(
lwc_baseline(
NanoDate("2024-01-01") .+ Second.(1:500),
map(x -> rand(1:500), collect(1:500));
label_name = "lwc_baseline",
base_value = LWCBaseValue("price", 250),
line_style = LWC_SOLID,
line_type = LWC_CURVED,
line_width = 3,
precision = 4,
price_scale_id = LWC_RIGHT,
);
x = 2,
y = 1,
);
name = "LightweightCharts ❤️ Julia"
)
lwc_show(layout)
Scatter plot with distinct color:
using LightweightCharts
chart = lwc_panel(
lwc_line(
round(Int64, time()) .+ collect(1:5000),
map(x -> 1.4 + rand([0.0:0.005:0.8..., 0.8:0.01:0.9...])^10.0, 1:5000);
label_name = "scatter_purple",
line_color = "#9558b2",
point_markers_visible = true,
line_visible = false,
),
lwc_line(
round(Int64, time()) .+ collect(1:5000),
map(x -> 1.2 + rand([0.0:0.005:0.8..., 0.8:0.01:0.9...])^10.0, 1:5000);
label_name = "scatter_green",
line_color = "#389826",
point_markers_visible = true,
line_visible = false,
),
lwc_line(
round(Int64, time()) .+ collect(1:5000),
map(x -> 1.0 + rand([0.0:0.005:0.8..., 0.8:0.01:0.9...])^10.0, 1:5000);
label_name = "scatter_red",
line_color = "#cb3c33",
point_markers_visible = true,
line_visible = false,
);
max_y = 1.6
)
lwc_show(chart)
Contributions to LightweightCharts are welcome! If you encounter a bug, have a feature request, or would like to contribute code, please open an issue or a pull request on GitHub.