stock-analyzer

What it is

AI-powered stock analysis skill that produces a 13-chapter综合报告 covering technicals, fundamentals, valuation, investment philosophy, and critique, with outputs in Markdown, HTML, and PDF. It supports multiple markets (A股, 港股, 美股, 澳洲 OTC) and generates 5 charts plus a full report.

How it works

• Uses data sources including yfinance (for US/HK), 东方财富 API (A股), 新浪 API (A股备选), and WebSearch as a fallback.
• Computes technical indicators (MACD, RSI, KDJ, Bollinger bands, ATR, MA lines) and generates 5 charts.
• Analyzes fundamentals (revenue trends, profitability, balance sheet, cash flow, scarcity).
• Performs 11-step SOP to write a 13-chapter report and outputs Markdown, HTML, and PDF.
• Outputs data and charts to a structured directory with reports and charts.

Getting started

• Install steps include copying the Stock Analyzer skill into Claude Code skills and installing Python dependencies:

# 将 skill 目录复制到你的 Claude Code skills 目录
cp -r stock-analyzer ~/.claude/skills/stock-analyzer

pip install yfinance pandas numpy matplotlib markdown

pip install weasyprint

• Configuration notes:
  • Configure proxies if using US/HK stocks via environment variables:

export https_proxy=http://127.0.0.1:7897
export http_proxy=http://127.0.0.1:7897

• Output directory:

~/Stock_Research/stock_analysis/<股票名称>/

Recent releases

• None

Traction

• stars: 12

Behind the repo

• maintainer information not provided in the README excerpt

Caveats

• License: none listed
• Data sources include multiple APIs with downgrade paths if proxies are not used; PDF generation may require system dependencies (libpango, libcairo) for weasyprint
• Real-time data may have delays (15-20 minutes for yfinance)
• A股 data via 东方财富 API may be limited to ~300日K线 for 一年未满