股票技术分析

v1.8.1

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...

⭐ 1· 167·1 current·1 all-time

by@write31bug

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for write31bug/stock-analysis-tool.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "股票技术分析" (write31bug/stock-analysis-tool) from ClawHub.
Skill page: https://clawhub.ai/write31bug/stock-analysis-tool
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: python
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install write31bug/stock-analysis-tool

ClawHub CLI

Package manager switcher

npx clawhub@latest install stock-analysis-tool

Security Scan

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high confidence

✓

Purpose & Capability

Name/description (technical stock analysis for A/HK/US markets) match the declared requirements: python binary and Python libraries (requests, pandas, numpy, optional akshare/yfinance). No unrelated services or credentials are requested.

ℹ

Instruction Scope

SKILL.md limits actions to installing Python packages and running the included script. The runtime instructions and CLI options match the script's behavior. The script reads/writes a config file under ~/.stock-analysis (watchlist/storage) and performs outbound requests to public finance APIs — this is expected but worth noting.

ℹ

Install Mechanism

No automated install spec (instruction-only). The skill includes a Python script and requirements.txt; running it will execute that code. No downloads from third-party URLs or archive extraction are present in the skill metadata. Users should still inspect the bundled script before executing it.

✓

Credentials

The skill requests no environment variables or credentials. Network access to public market data endpoints (Sina, yfinance, 东财/other public APIs) is used and is coherent with the stated purpose. The skill writes its own config file under the user's home directory only.

✓

Persistence & Privilege

always is false and disable-model-invocation is default. The only persistent effect is creating ~/.stock-analysis/config.json for watchlist/defaults — normal for a CLI tool and limited in scope.

Assessment

This skill appears coherent for a CLI stock-analysis tool. Before installing or running it: (1) review the included scripts/stock_analysis.py yourself (it will be executed by Python); (2) be aware it makes outbound requests to public finance APIs (Sina, yfinance, 东财) and may access the network; (3) it will create and modify ~/.stock-analysis/config.json for watchlist/defaults; (4) optional packages (akshare, yfinance) may be suggested — only install what you need. If you require stronger isolation, run the script in a restricted environment (container/VM) or review the full code to confirm there are no unexpected external endpoints or hidden behaviors.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

Binspython

latestvk97bxd6zkmkgysahw2zdmfpd5h84g281

167downloads

1stars

2versions

Updated 2w ago

v1.8.1

MIT-0

📈 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

GitHub: https://github.com/write31bug/stock-technical-analysis
ClawHub: https://clawhub.ai/skills/stock-analysis-tool

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