stock-daily-analysis

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 stability Configurable AI providers (DeepSeek, Gemini, OpenAI) for deeper analysis and decision recommendations

INSTALLATION
npx skills add https://github.com/chjm-ai/stock-daily-analysis-skill --skill stock-daily-analysis
Run in your project or agent environment. Adjust flags if your CLI version differs.

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

  • 多市场支持 - A股、港股、美股
  • 技术面分析 - MA5/10/20、MACD、RSI、乖离率
  • 趋势交易 - 多头排列判断、买入信号评分
  • AI 决策 - DeepSeek/Gemini/OpenAI 深度分析
  • 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


- 填入 DeepSeek API Key:

{

"ai": {

"provider": "openai",

"api_key": "sk-your-deepseek-key",

"base_url": "https://api.deepseek.com/v1",

"model": "deepseek-chat"

}

}


- (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'

}

}

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