For this example, we demonstrate how to create a Angular OHLC Chart or Stock Chart using SciChart.js. This is our powerful JavaScript Chart Component.
drawExample.ts
angular.ts
data.ts
1import { closeValues, dateValues as xValues, highValues, lowValues, openValues } from "./data";
2import {
3 CategoryAxis,
4 ENumericFormat,
5 FastOhlcRenderableSeries,
6 MouseWheelZoomModifier,
7 NumericAxis,
8 NumberRange,
9 OhlcDataSeries,
10 SciChartSurface,
11 SmartDateLabelProvider,
12 SweepAnimation,
13 ZoomExtentsModifier,
14 ZoomPanModifier,
15 SciChartJsNavyTheme,
16 DiscontinuousDateAxis,
17} from "scichart";
18
19export const drawExample = async (rootElement: string | HTMLDivElement) => {
20 // Create a SciChartSurface
21 const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement, {
22 theme: new SciChartJsNavyTheme(),
23 });
24
25 // Add DiscontinuousDateAxis - which collapses gaps in stock market data
26 sciChartSurface.xAxes.add(
27 new DiscontinuousDateAxis(wasmContext, {
28 labelProvider: new SmartDateLabelProvider(),
29 growBy: new NumberRange(0.05, 0.05),
30 })
31 );
32
33 // Create a NumericAxis on the YAxis with 4 Decimal Places
34 sciChartSurface.yAxes.add(
35 new NumericAxis(wasmContext, {
36 visibleRange: new NumberRange(1.1, 1.2),
37 growBy: new NumberRange(0.1, 0.1),
38 labelFormat: ENumericFormat.Decimal,
39 labelPrecision: 4,
40 })
41 );
42
43 // Create the Ohlc series and add to the chart
44 sciChartSurface.renderableSeries.add(
45 new FastOhlcRenderableSeries(wasmContext, {
46 dataSeries: new OhlcDataSeries(wasmContext, { xValues, openValues, highValues, lowValues, closeValues }),
47 strokeThickness: 1,
48 dataPointWidth: 0.7,
49 strokeUp: "#50ff50",
50 strokeDown: "#ff5050",
51 animation: new SweepAnimation({ duration: 800, fadeEffect: true }),
52 })
53 );
54
55 // Optional: Add some interactivity modifiers
56 sciChartSurface.chartModifiers.add(
57 new ZoomExtentsModifier(),
58 new ZoomPanModifier({ enableZoom: true }),
59 new MouseWheelZoomModifier()
60 );
61
62 sciChartSurface.zoomExtents();
63 return { sciChartSurface, wasmContext };
64};
65This example demonstrates how to implement an Angular OHLC Chart using SciChart.js. It showcases an integration pattern where the chart is initialized within a standalone Angular component using the ScichartAngularComponent. The example focuses on visualizing financial OHLC (Open-High-Low-Close) data in a stock chart, making it ideal for applications that require precise financial data representation.
The chart is initialized asynchronously through the drawExample function, which creates a SciChartSurface and configures it with a themed environment. A CategoryAxis is employed with a SmartDateLabelProvider to handle non-contiguous stock market date values, while a NumericAxis formats financial data with exact decimal precision. The OHLC data is structured using an OhlcDataSeries and is rendered via a FastOhlcRenderableSeries that features a SweepAnimation for smooth visual transitions. This approach aligns with best practices for asynchronous chart initialization in Angular as explained in the Getting Started with SciChart JS documentation.
The example integrates several advanced features including real-time update capabilities, smooth series animations, and interactive chart modifiers. Interactivity is enhanced through the addition of modifiers like ZoomExtentsModifier, ZoomPanModifier, and MouseWheelZoomModifier which enable intuitive zooming and panning. Such enhancements are consistent with the guidance provided in the Tutorial 03 - Adding Zooming, Panning Behavior documentation. Additionally, the performance optimizations inherent in SciChart.js, including efficient WebGL rendering, ensure the chart remains responsive even when handling complex financial datasets.
This Angular example leverages a standalone component architecture where the chart initialization function is passed as an input property to the ScichartAngularComponent, promoting a clear separation of concerns and easy lifecycle management. Developers should note that proper Angular lifecycle handling is important to avoid memory leaks, a concept detailed in the Memory Best Practices guide. Furthermore, for a deeper understanding of integrating SciChart.js into Angular projects, the scichart-angular resource offers additional insights and installation details.

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