a-share-skill MCP Server
shouldnotappearcalm/a-share-skill
[](https://agentrank-ai.com/tool/shouldnotappearcalm--a-share-skill/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) 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
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
shouldnotappearcalm/a-share-skill is a Python tool licensed under MIT. 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 Topics: a-share, agent-skills, akshare, claude-code, claude-skills, mcp, paper-trading, quant, stock.
Ranked #594 out of 24846 indexed tools.
In the top 3% of all indexed tools.
Ecosystem
Score Breakdown
246 stars → growing community
Last commit 1mo ago → moderate activity
1/1 issues closed → responsive maintainer
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# a-share-skill > 中文文档 / Chinese README: [README.zh.md](README.zh.md) A collection of A-share (China Shanghai/Shenzhen) data-analysis, trend-pullback strategy, and paper-trading skills for AI tools — built for stock analysis, quant trading, paper trading, and A-share workflows: - `a-share-data`: market data query and analysis - `a-share-strategy-mainboard-multi-swing-defensive`: main-board trend-pullback signals - `a-share-strategy-allmarket-multi-swing-defensive`: all-market trend-pullback signals - `a-share-paper-trading`: 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 - Scan main-board or all-market candidates and review position exit signals - Create a `calm1` 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,Read full README on GitHub →
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