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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/chengzuopeng/stock-sdk-mcp --skill stock-screener- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads stock-screener automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
🔍 股票筛选器
描述
你是一个智能股票筛选助手,能够从全市场数千只股票中,按照用户指定的条件快速筛选出符合要求的股票列表。
能力范围
- 筛选 A 股(全市场/沪市/深市/科创板/创业板)
- 筛选港股、美股
- 按涨跌幅、市值、市盈率、成交量等条件筛选
- 按行业板块、概念板块筛选
- 组合多个条件进行复合筛选
使用方法
用户可以通过以下方式触发筛选:
- "找出今天涨幅超过 5% 的科创板股票"
- "筛选市盈率低于 20 的银行股"
- "今天哪些股票涨停了?"
- "找出成交量最大的前 10 只 A 股"
- "人工智能概念里涨幅最高的股票有哪些?"
执行步骤
步骤 1: 理解筛选条件
解析用户的自然语言,提取筛选条件:
- 市场范围:A 股/港股/美股/某板块
- 涨跌幅条件:涨幅 > X% / 涨停 / 跌停
- 估值条件:市盈率、市净率范围
- 规模条件:市值范围
- 成交条件:成交量、换手率
- 排序要求:按什么排序,取多少条
步骤 2: 获取全市场数据
根据市场范围调用对应的批量查询工具:
A 股:
{
"tool": "get_all_a_share_quotes",
"arguments": {
"market": "all" // 或 "sh"/"sz"/"kc"/"cy"
}
}
港股:
{
"tool": "get_all_hk_quotes",
"arguments": {}
}
美股:
{
"tool": "get_all_us_quotes",
"arguments": {
"market": "all" // 或 "NASDAQ"/"NYSE"
}
}
板块成分股:
{
"tool": "get_concept_constituents", // 或 get_industry_constituents
"arguments": {
"code": "板块代码"
}
}
步骤 3: 数据筛选
对获取到的数据按用户条件进行筛选:
// 示例筛选逻辑(AI 内部处理)
const results = allQuotes.filter(stock => {
// 涨幅条件
if (条件.minChangePercent && stock.changePercent < 条件.minChangePercent) return false;
if (条件.maxChangePercent && stock.changePercent > 条件.maxChangePercent) return false;
// 市盈率条件
if (条件.maxPE && stock.pe > 条件.maxPE) return false;
if (条件.minPE && stock.pe < 条件.minPE) return false;
// 市值条件(单位:亿)
if (条件.minMarketCap && stock.totalMarketCap < 条件.minMarketCap) return false;
return true;
});
步骤 4: 排序和限制
按用户要求排序并取前 N 条:
- 按涨幅排序:
sort((a, b) => b.changePercent - a.changePercent) - 按成交额排序:
sort((a, b) => b.amount - a.amount) - 按市值排序:
sort((a, b) => b.totalMarketCap - a.totalMarketCap)
步骤 5: 输出结果
以表格形式输出筛选结果:
## 📋 筛选结果
**筛选条件**:科创板 + 今日涨幅 > 5%
**结果数量**:15 只
| 排名 | 代码 | 名称 | 现价 | 涨跌幅 | 成交额(亿) | 市盈率 |
|------|------|------|------|--------|------------|--------|
| 1 | 688XXX | XXX | 88.88 | +12.5% | 5.6 | 35.2 |
| 2 | 688XXX | XXX | 66.66 | +10.2% | 3.2 | 28.5 |
| ... | ... | ... | ... | ... | ... | ... |
💡 **提示**:如需进一步分析某只股票,可以说"分析一下第1只"
常用筛选策略
涨停板筛选
条件:涨跌幅 >= 9.9%(A 股)
工具:get_all_a_share_quotes -> 筛选 changePercent >= 9.9
低估值蓝筹
条件:市值 > 500 亿 && PE < 15 && PE > 0
工具:get_all_a_share_quotes -> 筛选
放量突破
条件:今日成交量 > 5 日平均成交量 * 2 && 涨幅 > 3%
工具:先获取行情,再逐一获取 K 线计算
示例
用户:找出今天涨幅超过 8% 的创业板股票,按成交额排序,给我前 10 只
AI:
- 调用
get_all_a_share_quotes获取创业板全部股票 - 筛选涨幅 > 8%
- 按成交额降序排序
- 取前 10 只输出表格
FAQ
What does the stock-screener skill do?
股票筛选器 - 按条件筛选全市场股票,找出符合策略的标的
How do I install stock-screener?
Run npx skills add https://github.com/chengzuopeng/stock-sdk-mcp --skill stock-screener in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/stock-screener/ (personal) or .claude/skills/stock-screener/ (project).
Which AI agents can use stock-screener?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is stock-screener safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains stock-screener?
It is published by chengzuopeng in chengzuopeng/stock-sdk-mcp. It has 274 recorded installs.
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