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股票技术分析

该 Skill 是 Python 命令行工具,覆盖 A股、港股、美股及 ETF/LOF/开放式基金,计算 MA、MACD、RSI、KDJ、布林带、ATR 等指标并检测 MACD 背离,给出 0-100 量化评分与五档趋势分级;支持批量分析、JSON/终端/ASCII 输出、持仓列表管理与离线测试,行情取自公开财经数据源。

write31bug
write31bug
热度 68.57
最近更新 2026-05-11 17:41:40
分类:数据依赖:代码执行 / 第三方 API / 读写文件应用场景:财务 / 市场分析 / 报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add stock-analysis-tool
Metadata
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


✨ 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