stock-daily-analysis

chjm-ai/stock-daily-analysis-skill · updated Apr 20, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/chjm-ai/stock-daily-analysis-skill --skill stock-daily-analysis
0 commentsdiscussion
summary

LLM-powered daily stock analysis across A-shares, Hong Kong, and US markets with technical indicators and AI-driven signals.

  • Analyzes multiple markets (A-shares, Hong Kong, US stocks) with technical indicators including moving averages, MACD, RSI, and bias rate
  • Generates trend status, buy signal scores, and AI-driven operation advice with target prices and stop-loss levels
  • Supports batch analysis of multiple stocks and optional integration with market-data skill for enhanced data sta
skill.md

Daily Stock Analysis for OpenClaw

基于 LLM 的 A/H/美股智能分析 Skill,提供技术面分析和 AI 决策建议。

功能特性

  1. 多市场支持 - A股、港股、美股
  2. 技术面分析 - MA5/10/20、MACD、RSI、乖离率
  3. 趋势交易 - 多头排列判断、买入信号评分
  4. AI 决策 - DeepSeek/Gemini/OpenAI 深度分析
  5. 数据源集成 - 可选 market-data skill

快速使用

from scripts.analyzer import analyze_stock, analyze_stocks

# 单只分析
result = analyze_stock('600519')
print(result['ai_analysis']['operation_advice'])

# 批量分析
results = analyze_stocks(['600362', '601318', '159892'])

配置

  1. 复制配置模板:
cp config.example.json config.json
  1. 填入 DeepSeek API Key:
{
  "ai": {
    "provider": "openai",
    "api_key": "sk-your-deepseek-key",
    "base_url": "https://api.deepseek.com/v1",
    "model": "deepseek-chat"
  }
}
  1. (可选) 启用 market-data skill 数据源:
{
  "data": {
    "use_market_data_skill": true,
    "market_data_skill_path": "../market-data"
  }
}

返回数据

{
    'code': '600519',
    'name': '贵州茅台',
    'technical_indicators': {
        'trend_status': '强势多头',
        'ma5': 1500.0, 'ma10': 1480.0, 'ma20': 1450.0,
        'bias_ma5': 2.5,
        'macd_status': '金叉',
        'rsi_status': '强势买入',
        'buy_signal': '买入',
        'signal_score': 75
    },
    'ai_analysis': {
        'sentiment_score': 75,
        'operation_advice': '买入',
        'confidence_level': '高',
        'target_price': '1550',
        'stop_loss': '1420'
    }
}

项目信息


⚠️ 免责声明: 本项目仅供学习研究,不构成投资建议。股市有风险,投资需谨慎。

how to use stock-daily-analysis

How to use stock-daily-analysis on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add stock-daily-analysis
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/chjm-ai/stock-daily-analysis-skill --skill stock-daily-analysis

The skills CLI fetches stock-daily-analysis from GitHub repository chjm-ai/stock-daily-analysis-skill and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/stock-daily-analysis

Reload or restart Cursor to activate stock-daily-analysis. Access the skill through slash commands (e.g., /stock-daily-analysis) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.773 reviews
  • Dhruvi Jain· Dec 28, 2024

    Keeps context tight: stock-daily-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Nikhil Ndlovu· Dec 28, 2024

    stock-daily-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Amelia Smith· Dec 28, 2024

    I recommend stock-daily-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Pratham Ware· Dec 24, 2024

    Useful defaults in stock-daily-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Sharma· Dec 24, 2024

    stock-daily-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sofia Brown· Dec 16, 2024

    Useful defaults in stock-daily-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Alexander Thompson· Dec 8, 2024

    stock-daily-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amelia Thompson· Dec 4, 2024

    I recommend stock-daily-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dev Diallo· Dec 4, 2024

    Keeps context tight: stock-daily-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Amina Perez· Nov 27, 2024

    stock-daily-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 73

1 / 8