What makes A股多智能体投研-15 AI 分析师 notable?

4.5K downloads. Trust evidence available

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A股多智能体投研-15 AI 分析师

A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、市场情绪研判、资金流向追踪（北向资金/主力资金）、宏观经济分析及博弈论推演，输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。 Multi-agent AI stock analysis for Chin... Skill: A股多智能体投研-15 AI 分析师 Owner: kylinmountain Summary: A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、市场情绪研判、资金流向追踪（北向资金/主力资金）、宏观经济分析及博弈论推演，输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。 Multi-agent AI stock analysis for Chin... Tags: A-Share:0.5.0, Agent:0.5.0, a-share:0.4.0, finance:0.5.0, investment:0.4.0, latest:0.6.2, multi-agent:0.4.0, stock:0.5.0, stocks:0.4.0 Version history: v0.6.2 | 2026-03-29T01:48:41.096Z | user Vers

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

4.5k

Updated

Oct 9, 2026

Version

0.6.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 4.5K downloads reported by the source. Last updated 10/9/2026.

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 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 4.5K downloadsadoption · observed Oct 9, 2026
Latest release: 0.6.2release · observed Mar 29, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17be26ny652mmq9k9qhwkjb7d83g3bw:tradingagents-analysis

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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-kylinmountain-tradingagents-analysis/snapshot"

Documentation

CLAWHUB

59,327 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: tradingagents-analysis
version: 0.6.1
description: >-
  A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、
  市场情绪研判、资金流向追踪（北向资金/主力资金）、宏观经济分析及博弈论推演，
  输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。
  Multi-agent AI stock analysis for China A-shares.
  15 specialized analysts collaborate across technical analysis, fundamental analysis,
  sentiment analysis, smart money flow tracking, macro economics, and game theory
  to deliver structured buy/sell/hold recommendations with risk assessment.
homepage: https://app.510168.xyz
repository: https://github.com/KylinMountain/TradingAgents-AShare
tags:
  - stock-analysis
  - A-share
  - A股
  - 股票分析
  - 股票
  - 炒股
  - 选股
  - 荐股
  - trading
  - investment
  - 投资
  - 投研
  - 量化投研
  - 研报
  - 盘后分析
  - 复盘
  - multi-agent
  - 多智能体
  - AI分析
  - AI炒股
  - technical-analysis
  - 技术分析
  - K线
  - fundamental-analysis
  - 基本面分析
  - sentiment-analysis
  - 市场情绪
  - smart-money
  - 资金流向
  - 北向资金
  - 主力资金
  - 龙虎榜
  - finance
  - 金融
  - China
  - 中国股市
  - 沪深
  - 上证
  - 深证
  - quant
  - risk-assessment
  - 风险评估
  - 买卖建议
  - claude-code
  - openclaw
metadata:
  openclaw:
    requires:
      env:
        - TRADINGAGENTS_TOKEN
        - TRADINGAGENTS_API_URL
      bins:
        - curl
        - python3
        - bash
    primaryEnv: TRADINGAGENTS_TOKEN
    emoji: "📈"
    homepage: https://app.510168.xyz
---

# TradingAgents 多智能体 A 股投研分析

使用 TradingAgents API，让 **15 名专业 AI 分析师**对 A 股进行五阶段深度协作研判，输出结构化投资建议。

## 🎯 快速上手

**直接对我说：**
- "帮我分析一下贵州茅台"
- "宁德时代值得买入吗"
- "分析一下 600519 的技术面"
- "比亚迪最近资金流向怎么样"

**我会调用 15 个 AI 分析师，从市场、技术、基本面、情绪、资金五个维度深度分析，给你专业的投资建议。**

---

## 🤖 系统架构：五阶段 15 智能体

| 阶段 | 智能体 | 职责 |
|------|--------|------|
| 1. 分析团队 | 市场/新闻/情绪/基本面/宏观/聪明钱 | 多维度原始数据解读 |
| 2. 博弈裁判 | 博弈论管理者 | 主力与散户预期差分析 |
| 3. 多空辩论 | 多头/空头研究员 + 裁判 | 对立观点激烈博弈 |
| 4. 执行决策 | 交易员 | 综合研判生成操作建议 |
| 5. 风险管控 | 激进/中性/保守分析师 + 组合经理 | 多维度风控审核 |

---

# TradingAgents Multi-Agent Investment Research

Use the TradingAgents API to let **15 specialized AI analysts** conduct deep, five-stage collaborative research on A-Share stocks, delivering structured trading recommendations.

## 🤖 System Architecture: 5 Stages · 15 Agents

| Stage | Agents | Role |
|-------|--------|------|
| 1. Analyst Team | Market / News / Sentiment / Fundamentals / Macro / Smart Money | Multi-dimensional raw data analysis |
| 2. Game Theory | Game Theory Manager | Main-force vs. retail expectation gap |
| 3. Bull/Bear Debate | Bull & Bear Researchers + Judge | Adversarial viewpoint debate |
| 4. Trade Execution | Trader | Synthesize research into actionable decision |
| 5. Risk Control | Aggressive / Neutral / Conservative + Portfolio Manager | Multi-layer risk review |

## 📋 适用场景

✅ **适合使用：**
- 个股深度分析（技术面 + 基本面）
- 投资决策参考
- 盘后复盘分析
- 持仓标的风险评估
- 资金流向与市场情绪研判

❌ **不适合：**
- 盘中实时盯盘（分析需要 1-5 分钟）
- 超短线交易（分钟级决策）
- 加密货币、美股等非 A 股市场

## 🔒 隐私与安全

- **发送范围**：本技能**仅**从对话中提取股票名称/代码、分析日期、分析视角等参数，将其作为 `symbol`/`trade_date`/`horizons` 字段发送至后端 API。**不发送对话原文、不读取本地文件、不上传任何其他隐私数据。**
- **令牌安全**：`TRADINGAGENTS_TOKEN`（格式 `ta-s

_meta.json

{
  "ownerId": "kn7fp71x5ttbnyv3dk5w2dvnen82vkvn",
  "slug": "tradingagents-analysis",
  "version": "0.6.2",
  "publishedAt": 1774748921096
}

skill-card.md

## Description:

A股多智能体 AI 投研分析工具 uses 15 AI analysts to analyze China A-share stocks across technical, fundamental, sentiment, smart-money, macroeconomic, and game-theory perspectives, producing structured buy, sell, or hold recommendations with risk assessment.

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

## Publisher:

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

### License/Terms of Use:

MIT-0

## Use Case:

External users and investment researchers use this skill to request deep analysis of Shanghai and Shenzhen A-share stocks by symbol or Chinese company name. The skill submits stock-analysis jobs to the TradingAgents API and returns structured decisions, confidence, target and stop-loss prices, key metrics, and risk items.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill can send stock-analysis requests and a bearer token to a configurable backend API endpoint.

Mitigation: Use the default HTTPS endpoint or an HTTPS self-hosted endpoint, avoid plain HTTP except loopback-only local testing with disposable credentials, and rotate the TradingAgents token if exposed.

Risk: The skill produces investment-analysis recommendations that may be incorrect, stale, or unsuitable for a user's financial situation.

Mitigation: Treat outputs as decision support, require user confirmation before submitting jobs, and review recommendations with independent financial judgment before acting.

Risk: Users may include personal account details, actual positions, or other sensitive financial information in prompts even though the skill only needs stock-analysis parameters.

Mitigation: Ask users to provide only stock symbols, trade dates, and analysis horizons; do not include account data, holdings, or other sensitive personal information.

## Reference(s):

- [ClawHub skill listing](https://clawhub.ai/kylinmountain/skills/tradingagents-analysis)
- [TradingAgents application homepage](https://app.510168.xyz)
- [TradingAgents-AShare self-hosting documentation](https://github.com/KylinMountain/TradingAgents-AShare)

## Skill Output:

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

**Output Format:** [Markdown guidance with shell commands and JSON analysis results]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Analysis jobs usually take 1 to 5 minutes; batch mode submits multiple symbols and returns a JSON result summary for completed jobs.]

## Skill Version(s):

0.6.2 (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.

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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!

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CopilotKit

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OPENCLAW

Machine-readable data

The same record, as JSON, for agents and crawlers.

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}

Record generated Oct 9, 2026.

About

Avoid when

Public facts

Install and run

Documentation

Extracted files

SKILL.md

_meta.json

skill-card.md

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