What makes A Stock Radar notable?

1.3K downloads. Trust evidence available

How should A Stock Radar be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

A Stock Radar

A股综合监控与分析工具，支持寒鸦框架决策输出。当用户询问「A股今天怎么样」「大盘如何」「哪些板块在动」「今日涨跌」「北向资金」「涨停/跌停」「市场情绪」「现在适合上仓位吗」「分析A股」「A股复盘」「当前主线是什么」「买入/卖出」「加仓/减仓」「仓位建议」时使用。覆盖实时行情监控、宏观快照、寒鸦四维决策框架（宏观定... Skill: A Stock Radar Owner: gold3bear Summary: A股综合监控与分析工具，支持寒鸦框架决策输出。当用户询问「A股今天怎么样」「大盘如何」「哪些板块在动」「今日涨跌」「北向资金」「涨停/跌停」「市场情绪」「现在适合上仓位吗」「分析A股」「A股复盘」「当前主线是什么」「买入/卖出」「加仓/减仓」「仓位建议」时使用。覆盖实时行情监控、宏观快照、寒鸦四维决策框架（宏观定... Tags: a-stock:2.1.0, buffett:2.1.0, china:2.1.0, china-a-shares:2.1.0, hanya:2.1.0, investment:2.1.0, latest:2.1.1, liutong:2.1.0, longhubang:2.0.0, market-radar:2.1.0, sentiment:2.1.0, shanghai:2.0.0, szse:2.0.0

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.3k

Updated

Oct 10, 2026

Version

2.1.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.3K downloadsadoption · observed Oct 10, 2026
Latest release: 2.1.1release · observed Apr 30, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17930bxaprtfmapx7v2y3p8ns85hcsh:a-stock-radar

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gold3bear-a-stock-radar/snapshot"

Documentation

CLAWHUB

16,246 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: a-stock-radar
description: A股综合监控与分析工具，支持寒鸦框架决策输出。当用户询问「A股今天怎么样」「大盘如何」「哪些板块在动」「今日涨跌」「北向资金」「涨停/跌停」「市场情绪」「现在适合上仓位吗」「分析A股」「A股复盘」「当前主线是什么」「买入/卖出」「加仓/减仓」「仓位建议」时使用。覆盖实时行情监控、宏观快照、寒鸦四维决策框架（宏观定调/微观验证/情绪水位/风控矩阵）、核心企业篮子、短线情绪判断。所有操作建议均附免责声明「不构成投资建议」。📢微信公众号：PM熊叔（打造一人公司的投研团队）
---

# A股雷达 (A-Stock Radar) v2.0

> ⚠️ 本工具输出包含寒鸦框架决策建议，但所有建议仅供研究参考，不构成任何投资建议。市场有风险，投资需谨慎。

## 🆕 v2.0 重大升级：寒鸦决策框架

除原有行情监控外，新增**交易决策矩阵**输出：

### 寒鸦四维框架

| 维度 | 内容 |
|------|------|
| **宏观定调** | LPR周期、SHIBOR流动性、中美利差、政策发令枪指向 |
| **微观验证** | 机构龙虎榜资金、筹码高低切、ETF异动 |
| **情绪水位** | 涨停/跌停/炸板率/连板高度 → 冰点/分歧/修复/亢奋 |
| **风控矩阵** | 仓位建议、买入板块、卖出板块、量化止损阈值 |

### 情绪数据修复（2026-04-29）

⚠️ **已知Bug**：akshare的`stock_zt_pool_em`等函数默认日期为2024年10月，导致涨停数据永远为0。**已在`sentiment_snapshot.py`中修复**——所有API调用现已传入当日日期（YYYYMMDD格式）。

---

`a-stock-radar` 现在是统一的 A 股入口，内部按四层能力组织：

1. `实时行情监控`
2. `宏观快照与核心企业`
3. `寒鸦决策框架`（含情绪判断）

`a-stock-radar` 现在是统一的 A 股入口，内部按三层能力组织：

1. `实时行情监控`
2. `宏观快照与核心企业`
3. `短线情绪判断`
4. `深度量化分析`

## 1. 实时行情监控

适用问题：

- A股今天怎么样
- 哪些板块在动
- 北向资金如何
- 涨停跌停情况
- 某只股票现在多少钱

主要脚本：

- `scripts/index_spot.py`：主要指数
- `scripts/sector_ranking.py`：板块排行
- `scripts/stock_quote.py`：个股行情
- `scripts/zt_pool.py`：涨停池/跌停池
- `scripts/dashboard.py`：综合看盘入口
- `scripts/macro_snapshot.py`：SHIBOR、LPR、中美10Y利差、北向、新增人民币贷款
- `scripts/core_companies.py`：A股核心企业篮子

主要数据源：

- 东方财富：板块/排行
- 新浪财经：指数与个股实时行情
- akshare：涨跌停池、北向等扩展数据

## 2. 宏观快照与核心企业

适用问题：

- A股宏观数据怎么看
- SHIBOR/LPR 现在是什么水平
- 中美10Y利差如何
- 北向资金和融资需求怎么样
- 茅台/宁德时代/比亚迪现在怎么样
- 给我看A股核心企业篮子

主要脚本：

- `scripts/macro_snapshot.py`
- `scripts/core_companies.py`

覆盖维度：

- SHIBOR（银行间流动性）
- LPR（贷款市场报价利率）
- 中美10Y国债利差
- 北向资金净流入
- 新增人民币贷款
- 贵州茅台、宁德时代、比亚迪、招商银行、工商银行、美的集团、中芯国际、立讯精密

## 3. 短线情绪判断

适用问题：

- 今天市场情绪怎么样
- 现在是冰点还是亢奋
- 适不适合上仓位
- 短线环境强不强

主要脚本：

- `scripts/sentiment_snapshot.py`

核心指标：

- 涨停家数
- 跌停家数
- 炸板率
- 连板高度

输出内容：

- 情绪阶段：`冰点 / 分歧 / 修复 / 亢奋`
- 仓位建议：`空仓 / 轻仓 / 半仓 / 重仓`
- 短线打法建议

## 4. 深度量化分析

适用问题：

- 分析A股
- 做一份A股复盘
- 当前主线是什么
- 用量化视角看A股

主要脚本：

- `scripts/quant_analysis.py`

分析框架：

- 宏观流动性
- 政策主线
- ETF/龙虎榜/换手结构
- 情绪与筹码共振

输出内容：

- 主线判断
- 择时建议
- 复盘框架
- 风险提示

## 使用原则

- 只问盘面与行情：优先走 `实时行情监控`
- 问仓位与短线环境：优先走 `短线情绪判断`
- 问中高层判断与复盘：优先走 `深度量化分析`

## 迁移说明

以下旧 skill 已并入本 skill：

- `a-stock-market-sentiment`
- `ashare-quant`

_meta.json

{
  "ownerId": "kn7bxc79hkset41rq175brg97s85g8c1",
  "slug": "a-stock-radar",
  "version": "2.1.1",
  "publishedAt": 1777514377354
}

skill-card.md

## Description:

A Stock Radar monitors Chinese A-share indices, sectors, macro indicators, core companies, limit-up/limit-down pools, and short-term sentiment to produce market snapshots and non-binding position guidance.

This skill is ready for commercial/non-commercial use.

## Publisher:

[gold3bear](https://clawhub.ai/user/gold3bear)

### License/Terms of Use:

MIT-0

## Use Case:

External users and agents use this skill to answer A-share market questions, summarize index and sector movement, inspect selected large-cap companies, assess macro and short-term sentiment signals, and produce research-only trading posture suggestions.

### Deployment Geography for Use:

Global, with market coverage focused on Chinese A-shares

## Known Risks and Mitigations:

Risk: Position guidance may be based on failed or stale sentiment data.

Mitigation: Treat trading posture suggestions as research references only and verify them against current market data before acting.

Risk: The skill contacts public market-data providers for quotes, sectors, macro data, and sentiment inputs.

Mitigation: Install and run it only in environments where outbound access to those public finance data sources is acceptable.

Risk: Unpinned dependencies and provider-side API changes can alter or break results.

Mitigation: Use a controlled environment with reviewed dependency versions and monitor failures or empty data before trusting summaries.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/gold3bear/skills/a-stock-radar)
- [Eastmoney quote center](https://quote.eastmoney.com/center/gridlist.html)
- [Sina Finance](http://finance.sina.com.cn)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, guidance]

**Output Format:** [Markdown-style Chinese market summaries with numeric snapshots, position guidance, and risk notes]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Outputs are non-binding research references and depend on public market-data providers that may fail or return stale data.]

## Skill Version(s):

2.1.1 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

Github ReposUpdated 1d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular