LLM-powered daily stock analysis across A-shares, Hong Kong, and US markets with technical indicators and AI-driven signals.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-daily-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches stock-daily-analysis from chjm-ai/stock-daily-analysis-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate stock-daily-analysis. Access via /stock-daily-analysis in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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。
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'])
cp config.example.json config.json
{
"ai": {
"provider": "openai",
"api_key": "sk-your-deepseek-key",
"base_url": "https://api.deepseek.com/v1",
"model": "deepseek-chat"
}
}
{
"data": {
"use_market_data_skill": true,
"market_data_skill_path": "../market-data"
}
}
{
'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'
}
}
⚠️ 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。
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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Keeps context tight: stock-daily-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
stock-daily-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend stock-daily-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in stock-daily-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
stock-daily-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in stock-daily-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
stock-daily-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend stock-daily-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: stock-daily-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
stock-daily-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
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