股票技术分析
📖 技能介绍
name: stock-technical-analysis description: Professional stock & fund technical analysis tool for A-share, HK, US markets — MA, MACD, RSI, KDJ, Bollinger Bands, ATR, scoring system. 股票技术分析工具，支持A股/港股/美股/基金技术分析，量化评分系统。 metadata: { "openclaw": { "requires": { "bins": ["python"] }, "install": [{ "id": "python", "kind": "python", "label": "Python 3.8+" }] }, "tags": ["stock", "finance", "technical-analysis", "A股", "量化", "MACD", "RSI", "KDJ"], "homepage": "https://github.com/write31bug/stock-technical-analysis" }
📈 Stock Technical Analysis Tool
Multi-market technical analysis CLI tool for stocks and funds — A股, 港股, 美股, ETF/LOF/开放式基金
7w4.net小葱技能。
✨ Feature Highlights | 功能亮点
| Feature | 功能 | |
|---|---|---|
| 🌏 | Multi-Market | A股（沪深）、港股、美股、ETF/LOF/开放式基金 |
| 📊 | Full Indicators | MA, MACD, RSI, KDJ, Bollinger Bands, ATR, Volume |
| 🔀 | MACD Divergence | Automatic bullish/bearish divergence detection |
| 🛡️ | Dual Data Sources | Primary + fallback with auto-failover |
| 📈 | Quant Score | 0-100 score across 6 dimensions + 5-tier trend |
| ⚡ | Batch Mode | Multi-threaded concurrent analysis |
| 📝 | Multiple Outputs | JSON / Terminal Table / ASCII / File |
| 🔌 | Offline Test | --test mode with mock data |
📊 Scoring System | 评分体系
| Score | Trend | 趋势 |
|---|---|---|
| ≥75 | 🚀 Strong Uptrend | 强势上涨 |
| 60-74 | 📈 Uptrend | 上涨趋势 |
| 40-59 | ↔️ Consolidation | 震荡整理 |
| 25-39 | 📉 Downtrend | 下跌趋势 |
| <25 | 🔻 Strong Downtrend | 强势下跌 |
🚀 Quick Start
Installation
# Core dependencies
pip install pandas numpy requests
# Optional
pip install akshare # A股/基金备用数据源
pip install yfinance # 港美股数据源
Usage
# A股
python scripts/stock_analysis.py 600519
# 港股
python scripts/stock_analysis.py 00700 -m hkstock
# 美股
python scripts/stock_analysis.py AAPL -m usstock
# ETF 基金
python scripts/stock_analysis.py 159934 -t fund
# 开放式基金
python scripts/stock_analysis.py 001316 -t fund
# JSON 输出
python scripts/stock_analysis.py 600519 --json --pretty
# 批量分析
python scripts/stock_analysis.py -b 600036,600900,510310
# 离线测试
python scripts/stock_analysis.py 600519 --test
⌨️ Command Reference
| Argument | Short | Description |
|---|---|---|
stock_code |
- | Stock/fund code |
--market |
-m |
Market: auto / ashare / hkstock / usstock |
--type |
-t |
Asset type: stock / fund |
--days |
-d |
History days (default: 60) |
--batch |
-b |
Batch mode (comma-separated) |
--json |
-j |
JSON output |
--pretty |
-p |
Pretty-print JSON |
--test |
- | Offline test mode |
--ascii |
- | ASCII mode (no unicode) |
--watchlist |
-w |
Analyze from watchlist |
--add |
- | Add to watchlist |
--list |
-l |
List watchlist |
--version |
-v |
Show version |
🗂️ Project Structure
stock-technical-analysis/
├── _meta.json # Skill metadata
├── SKILL.md # This file
├── requirements.txt # Python dependencies
└── scripts/
└── stock_analysis.py # Main script
📡 Data Sources
| Market | Primary | Fallback |
|---|---|---|
| A股 | 新浪财经 API | akshare |
| 港股/美股 | yfinance | akshare |
| ETF/LOF | 新浪ETF接口 | 东财 API |
| 开放式基金 | 东财 fund_open_fund_info_em | LOF历史接口 |
⚠️ Disclaimer
本工具仅供技术分析参考，不构成投资建议。This tool is for technical analysis reference only, not investment advice.
🔗 Links
- GitHub: https://github.com/write31bug/stock-technical-analysis
- ClawHub: https://clawhub.ai/skills/stock-analysis-tool
🤖 AI 评测
这个股票分析工具质量不错，功能很实用。它能分析A股、港股、美股和基金，提供了MACD、RSI、KDJ等常用技术指标，还能自动计算综合评分帮助判断趋势。文档写得很清楚，中英文都有，上手容易。缺点是分析结果依赖外部数据源，可能有延迟，而且没有测试覆盖，长期维护存在风险。对普通投资者来说，这是一个功能齐全、使用便捷的技术分析助手。
