Charts 新闻

在财务图表上立即显示最新价格

12月 5, 2025
LightningChart JS Trader v4.0 添加突出显示最新价值的“最新价格”标签，支持更明智的图表分析。

LightningChart JS Trader is a JavaScript/TypeScript library developed by LightningChart that specifically targets the creation of financial and trading applications. It provides high-performance, 2D, 3D, and real-time charting controls and a comprehensive suite of visualizations including candlestick, bar, line, and various technical indicators and drawing tools. This library enables software developers to create interactive technical analysis tools without the need for server-side setup as it runs completely on the client device.

The LightningChart JS Trader v4.0 update introduces a latest price labels feature which automatically displays the most recently received price and indicator values on the Y-axis, giving developers a clear reference point without implementing custom annotations. This built-in functionality reduces development effort by handling label placement and synchronization with incoming data, while configurable options allow teams to show the label, the horizontal line, both, or neither depending on the requirements of their application. As a result, developers can deliver a cleaner, more informative charting experience that makes it easier for end users to quickly interpret current market levels and indicator states.

To see a full list of what's new in v4.0, see our release notes.

LightningChart JS Trader is licensed per developer and is available as an annual license with 1 year support. See our LightningChart JS Trader licensing page for full details.

For more information, see our LightningChart JS Trader product page.

在 .NET 中用 OHLC 图表显示股票数据

12月 2, 2025
使用开盘价-最高价-最低价-收盘价（OHLC）图丰富具有高性能数据可视化的金融应用，以显示价格随时间的变化。

OHLC charts, short for Open-High-Low-Close charts, are a type of financial chart used to represent price movements of assets over a specific time period. Each point on the chart summarizes a single period's opening, highest, lowest, and closing prices, typically displayed using vertical bars with ticks to indicate opening and closing values. This format offers a clear and compact way to visualize volatility and market trends within a given timeframe. For developers and analysts working with financial data, OHLC charts are especially valuable for identifying price patterns, monitoring market behavior, and making informed decisions based on historical performance.

Several .NET chart components offer OHLC charts, including:

  • DevExpress ASP.NET Core Charts (part of DevExpress ASP.NET and Blazor) lets you render OHLC charts with tooltips and responsive design for real-time financial analysis.
  • ComponentOne WinForms Charts (part of ComponentOne Studio WinForms by MESCIUS) allows you to plot OHLC data for precise visualization of market trends in desktop apps.
  • Telerik UI for WPF ChartView (part of Telerik UI for WPF) supports high-performance OHLC chart rendering with flexible axes and styling options for desktop financial dashboards.
  • Syncfusion .NET MAUI Charts (part of Syncfusion Essential Studio Enterprise) enables developers to build cross-platform mobile apps with interactive, animated OHLC charts.

For an in-depth analysis of features and price, visit our comparison of .NET chart components.

Compare .NET Chart Components

添加轮廓以可视化图表数据梯度

11月 19, 2025
LightningChart JS v8.1 添加灵活的轮廓样式选项，有助于开发者精准突出关键的数值范围。

LightningChart JS is a high-performance JavaScript charting library that utilizes WebGL rendering and GPU acceleration to deliver exceptional performance for a wide range of data visualization needs. It is designed to handle large datasets and complex visualizations with ease, enabling developers to create interactive and visually appealing 2D and 3D charts. Ideal for applications demanding smooth real-time data updates, such as financial platforms, engineering tools, scientific research dashboards, and industrial monitoring systems, LightningChart JS provides a comprehensive API for customization and integration into web-based projects.

The LightningChart JS v8.1 update introduces built-in contour rendering for heatmap and surface charts, giving developers a straightforward way to highlight value transitions and gradients within complex datasets. The new contour capabilities automatically generate level lines and labels, while offering control over stroke and text styling for each contour level. This improves the clarity and interpretability of dense numerical data, reduces the need for custom rendering logic, and maintains high performance even when working with detailed datasets.

To see a full list of what's new in v8.1, see our release notes.

LightningChart JS is licensed per developer and is available as an annual license with 1 year support. See our LightningChart JS licensing page for full details.

For more information, see our LightningChart JS product page.

用实时图表跟踪实时发生的变化

11月 14, 2025
显示实时图表数据，以提供实时见解、更快的决策、更早的问题检测以及更具吸引力、更准确的报表。

Live data support for charts enables visualizations to update automatically as new information arrives, turning static dashboards into continuously refreshed, real-time views. This reduces reliance on manual refreshes or scheduled reports and helps prevent decisions based on stale data. Teams gain immediate insight into changing conditions, spotting anomalies, performance issues, or opportunities as they emerge. Typical use cases include monitoring website traffic, application performance, financial markets, IoT sensors, and business KPIs such as orders, revenue, or support queues. By making current metrics instantly visible, live charts improve responsiveness, operational control, and confidence in data-driven decisions and outcomes across the organization.

Several React chart controls support live data including:

  • DevExtreme React Chart (part of DevExtreme Complete by DevExpress) lets you stream live data into interactive visualizations, keeping dashboards continuously updated.
  • amCharts 5: Charts allows you to visualize constantly updating live data, animating changes smoothly so users immediately see evolving trends and anomalies.
  • Ignite UI for React Chart (part of Infragistics Ignite UI by Infragistics) lets you render high-frequency, real-time data streams, maintaining responsive, high-performance dashboards.
  • FusionCharts Suite XT facilitates real-time, self-updating charts that pull live data from servers, powering monitoring dashboards, trading interfaces, and operational views.

For an in-depth analysis of features and price, visit our React chart controls comparison.

Compare React Chart Controls

用散点图比较多个数据集

10月 30, 2025
用可自定义的散点图轻松比较和分析不同的数据系列，该些图揭示了关系、趋势和异常值，以获得更深入的见解。

A scatter chart is a visual tool that displays relationships between two variables by plotting data points on an X and Y axis. Each point represents a value pair, helping users quickly identify patterns, correlations, and outliers within complex datasets. Scatter charts effectively highlight trends, clusters, and anomalies that might not be visible in tables. With customizable markers, colors, and sizes, they clearly differentiate data groups. Common use cases include analyzing sales versus marketing spend, comparing temperature and energy use, or assessing customer satisfaction relative to pricing. This turns raw data into clear and actionable visual insights.

Several JavaScript chart controls offer scatter charts including:

  • DevExtreme Angular Chart (part of DevExtreme Complete by DevExpress) lets you visualize complex relationships through interactive scatter charts with clear data markers.
  • Highcharts Core by Highsoft enables detailed scatter chart visualizations with dynamic tooltips, real-time updates, and rich customization for professional analytics.
  • AnyChart JS allows you to create insightful scatter plots highlighting correlations, clusters, and outliers with flexible styling and interactivity.
  • Syncfusion JavaScript Charts (part of Syncfusion Essential Studio Enterprise) facilitates precise scatter chart rendering with high performance and advanced customization.

For an in-depth analysis of features and price, visit our JavaScript chart controls comparison.

Compare JavaScript Chart Controls