by shouldnotappearcalm · MCP Server · ★ 171
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
a-share-skill 中文文档 / Chinese README: README.zh.md A collection of A-share (China Shanghai/Shenzhen) data-analysis and paper-trading skills for AI tools — built for stock analysis, quant trading, paper trading, and A-share workflows: : market data query and analysis : paper-trading execution and backtesting You can simply ask your AI to: Look up a stock's real-time quote, historical trend, technical indicators, events, and industry info Create a paper-trading account, view account details and full trade history, and place simulated orders Combine the broad market, your holdings, and account status to decide whether to buy, sell, hold, or do nothing today Trend-Pullback Strategies (main-board trend pullback) and (all-market trend pullback) are not open-sourced for now. For daily trading ideas, candidate scans, and position management, follow my Xiaohongshu (RED) account below — I keep posting updates there. Xiaohongshu (RED) Xiaohongshu Group <img width="280" alt="Xiaohongshu Group" src="https
| Stars | 171 |
| Forks | 28 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.4141316700621/100 |
| Last Updated | 2026-06-24 |
| Created | 2026-03-17 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~14k |
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a-share-skill is A股数据分析、量化选股与模拟交易 Skill 集合，支持实时行情、历史K线、技术指标、自定义交易策略与模拟买入、卖出交易账户. It is categorized as a MCP Server with 171 GitHub stars.
a-share-skill is primarily written in Python. It covers topics such as a-share, agent-skills, akshare.
You can find installation instructions and usage details in the a-share-skill GitHub repository at github.com/shouldnotappearcalm/a-share-skill. The project has 171 stars and 28 forks, indicating an active community.
a-share-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to a-share-skill on Agent Skills Hub include mcp-odoo, aws-skills, comfyui-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.