jones2000/hqchart

HQChart - H5, 微信小程序 沪深/港股/数字货币/期货/美股 K线图(kline),走势图,缩放,拖拽,十字光标,画图工具,截图,筹码图. 分析家语法,通达信语法,(麦语法),第3方数据替换接口

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Summary Information

Updated 24 minutes ago
Added to GitGenius on September 20th, 2026
Created on March 20th, 2018
Open Issues & Pull Requests: 14 (+0)
GitHub issues: Enabled
Number of forks: 835
Total Stargazers: 3,380 (+0)
Total Subscribers: 77 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 7.5 hours
Mean response time: 32.0 days
90th percentile: 6.4 days
Tracked items: 22

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Issue Activity (beta)

Open issues: 7
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 395 days
Stale 30+ days: 6
Stale 90+ days: 6

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

HQChart is a charting library for rendering candlestick and trend charts across web and WeChat mini-program platforms.

The tool addresses the need for financial charting in Chinese markets and global exchanges by providing interactive K-line (candlestick) visualizations with support for Chinese stocks, Hong Kong stocks, cryptocurrencies, futures, and US equities. It renders charts using canvas and includes interaction features such as zooming, dragging, crosshair cursors, and drawing tools. The library supports technical analysis syntax from multiple sources including Analyst Home and Tongdaxin, allowing traders to apply established indicator languages to their charts. It also provides screenshot functionality and chip distribution visualization, with extensible data interfaces for third-party data source integration.

Developers building financial applications for Chinese markets or WeChat mini-programs should consider this tool if they need native support for regional exchanges and established technical analysis syntax. The project suits teams requiring a self-contained charting solution rather than integrating multiple specialized libraries. The canvas-based rendering approach provides performance suitable for real-time trading applications.

The project shows consistent maintenance with regular commits addressing bug fixes and feature enhancements. Development activity demonstrates responsiveness to user-reported issues and incremental improvements to chart rendering and interaction capabilities. The codebase maintains support across multiple deployment targets including standard web applications and WeChat mini-programs, indicating ongoing attention to platform compatibility.