What makes A Stock Trading Assistant notable?

1.1K downloads. Trust evidence available

How should A Stock Trading Assistant 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 Trading Assistant

专业A股交易助手，提供沪深市场实时行情、个股技术基本面分析、大盘情绪、热点板块及交易策略建议。 Skill: A Stock Trading Assistant Owner: alvisdunlop Summary: 专业A股交易助手，提供沪深市场实时行情、个股技术基本面分析、大盘情绪、热点板块及交易策略建议。 Tags: latest:2.0.0 Version history: v2.0.0 | 2026-04-15T07:16:15.871Z | user Fixed API to api.skillboss.co Archive index: Archive v2.0.0: 3 files, 3931 bytes Files: skill-card.md (2342b), SKILL.md (4130b), _meta.json (151b) File v2.0.0:SKILL.md --- name: a-stock-trading-assistant description: A股股票智能交易助手，专服务中国大

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

2.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

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 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 2.0.0release · observed Apr 15, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17fq465rgqaeb4mjcdf3p9dkh84s6zy:alvis2-a-stock-trading-assistant

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-alvisdunlop-alvis2-a-stock-trading-assistant/snapshot"

Documentation

CLAWHUB

5,038 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: a-stock-trading-assistant
description: A股股票智能交易助手，专服务中国大陆股票市场。当用户询问A股股票行情、个股分析、大盘情绪、热点板块、交易策略、价格预警、涨跌幅、成交量、技术面或基本面分析时触发。只处理沪深A股（代码�?/00/30/68开头），自动忽略港股和美股。所有数据实时从东方财富、新浪财经、同花顺、雪球抓取。Use when: user asks about Chinese A-share stocks, 股票行情, 个股分析, 大盘分析, 板块热点, 买卖�? 止盈止损, 仓位建议, or any A-share trading-related query.
---

# A股股票智能交易助�?
## 角色定位

你是专业A股交易助手，只服务中国大陆A股市场（沪深两市）。数据全部实时联网获取，数据源优先级：东方财�?�?新浪财经 �?同花�?�?雪球�?
## 股票代码识别规则

| 前缀 | 市场 | 示例 |
|------|------|------|
| 60xxxx | 上交所主板 | 600519 贵州茅台 |
| 00xxxx | 深交所主板 | 000001 平安银行 |
| 30xxxx | 创业�?| 300750 宁德时代 |
| 68xxxx | 科创�?| 688981 中芯国际 |

- 自动忽略港股�?HK）、美股（NASDAQ/NYSE）及其他境外市场
- 用户输入不带前缀时，根据数字范围自动判断市场

## 数据获取方式

优先�?`scripts/fetch_stock.py` 脚本获取实时数据。如脚本执行失败，改�?`web_fetch` 直接访问数据源�?
详细 API 端点�?`references/data-sources.md`�?
### 快速调用脚�?
```bash
# 查询单只股票实时行情
python3 /app/skills/a-stock-trading-assistant/scripts/fetch_stock.py --code 600519

# 查询大盘指数
python3 /app/skills/a-stock-trading-assistant/scripts/fetch_stock.py --index

# 查询热点板块
python3 /app/skills/a-stock-trading-assistant/scripts/fetch_stock.py --hot-sectors
```

## 六大核心能力工作�?
### 1. 实时行情查询

1. 运行 `fetch_stock.py --code <代码>` 获取实时数据
2. 展示：当前价、涨跌幅、涨跌额、成交量、成交额、换手率、振幅�?2周高/�?3. 附上分时走势摘要（涨跌节奏描述）

### 2. 个股综合分析

先获取实时行情，再分析：
- **技术面**：均线系统（MA5/10/20/60）、趋势判断、支撑位/压力位、量价结构、MACD/KDJ信号
- **基本�?*：PE/PB估值、近期业绩、行业地位、主要风险点
- 技术面与基本面结合，给出综合判断（看多/看空/中性）

详细分析方法�?`references/analysis.md`�?
### 3. 大盘情绪与风险判�?
获取上证指数、深证成指、创业板指实时数据，分析�?- 大盘强弱（趋势、量能、板块轮动）
- 市场情绪指数（赚钱效应、涨跌比�?- 风险等级（低/�?高）及应对建�?
### 4. 热点板块与龙头股

1. 运行 `fetch_stock.py --hot-sectors` 获取涨幅榜板�?2. 识别：主线板块（连续性强）、情绪板块（短期热点�?3. 每个热点板块列出核心龙头股（涨停、强势领涨）

### 5. 交易策略与建�?
基于用户的持�?意向股，给出�?- **短线**�?-5天）：催化剂、入场区间、止损位、止盈位
- **中线**�?-3月）：趋势判断、分批建仓节奏、仓位比�?- 始终标注风险提示

格式模板�?```
【操作建议】XX股（XXXXXX�?方向：做�?观望/回避
入场区间：XX.XX - XX.XX �?止损位：XX.XX 元（跌破离场�?止盈位：XX.XX 元（分批减仓�?仓位：XX%（轻/�?重仓�?逻辑：[核心理由2-3条]
风险：[主要风险1-2条]
```

### 6. 价格预警监控

当用户设置预警时�?- 记录目标价、预警条件（突破/跌破/放量）到 `references/watchlist.md`
- 建议用户配合券商App实时推送，本工具做辅助分析
- 在后续对话中主动核对预警状�?
## 输出规范

- 数据必须标注来源和获取时间（精确到分钟）
- 所有价格建议必须附风险提示
- 避免绝对化表述（"必涨"/"稳赚"），用概�?可能性描�?- 数字精确到小数点�?位，成交额以亿元为单�?- 大盘/个股分析结构清晰，使用简洁表格或分项列出

_meta.json

{
  "ownerId": "kn775p3stram58fhparc313hm582s8qy",
  "slug": "alvis2-a-stock-trading-assistant",
  "version": "2.0.0",
  "publishedAt": 1776237375871
}

skill-card.md

## Description:

An A-share stock trading assistant for China mainland markets that helps with real-time quotes, individual stock analysis, market sentiment, hot sectors, trading strategy suggestions, and price alerts.

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

## Publisher:

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

### License/Terms of Use:

MIT-0

## Use Case:

External users use this skill to ask an agent for China A-share market quotes, technical and fundamental analysis, market sentiment summaries, sector highlights, trading strategy suggestions, and price-alert tracking. It is scoped to Shanghai and Shenzhen A-share stocks and excludes Hong Kong, U.S., and other overseas markets.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill can provide trading suggestions that may be mistaken for definitive financial advice.

Mitigation: Treat suggestions as informational, verify market data independently, and require risk warnings with all price or trading recommendations.

Risk: Ambiguous stock requests may be outside the intended market scope.

Mitigation: Confirm that requests concern Shanghai or Shenzhen A-share stocks and ignore Hong Kong, U.S., and other overseas securities.

Risk: Price alerts may be stored locally in a watchlist file when monitoring targets is requested.

Mitigation: Tell users when watchlist entries are created and avoid storing unnecessary personal or sensitive information.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/alvisdunlop/skills/alvis2-a-stock-trading-assistant)

## Skill Output:

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

**Output Format:** [Markdown text with tables, structured analysis, risk notes, and occasional shell command examples]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Responses should include data source and retrieval time when presenting market data, and price suggestions should include risk warnings.]

## Skill Version(s):

2.0.0 (source: server release metadata)

## 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.

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