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stock-explorer

A Yahoo Finance (yfinance) powered financial analysis tool. Get real-time quotes, generate technical indicator reports (RSI/MACD/Bollinger/VWAP/ATR), summarize fundamentals, and run a one-shot report that outputs a text summary.

前端开发943SKILLs/stock-explorer/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/freestylefly/wesight/stock-explorer/install.md ，按里面的步骤帮我安装这个 Skill。

SKILL.md

Stock Information Explorer

This skill fetches OHLCV data from Yahoo Finance via yfinance and computes technical indicators locally (no API key required).

Dependencies

Python packages (install once):

pip install yfinance rich pandas plotille

Commands

IMPORTANT: Always use the $SKILLS_ROOT environment variable to locate scripts.

1) Real-time Quotes (price)

python "$SKILLS_ROOT/stock-explorer/scripts/quote.py" price TSLA
# shorthand
python "$SKILLS_ROOT/stock-explorer/scripts/quote.py" TSLA

2) Fundamental Summary (fundamentals)

python "$SKILLS_ROOT/stock-explorer/scripts/quote.py" fundamentals NVDA

3) ASCII Trend (history)

python "$SKILLS_ROOT/stock-explorer/scripts/quote.py" history AAPL 6mo

4) Professional Analysis (pro)

输出详细的技术指标文本分析报告。

# 基础分析（价格区间）
python "$SKILLS_ROOT/stock-explorer/scripts/quote.py" pro 002368.SZ 6mo

# 带技术指标
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-explorer/scripts/quote.py" pro 002368.SZ 6mo --rsi --macd --bb
可用指标 (optional)
  • --rsi : RSI(14) - 超买超卖指标
  • --macd: MACD(12,26,9) - 趋势动量指标
  • --bb : Bollinger Bands(20,2) - 布林带
  • --vwap: VWAP - 成交量加权均价
  • --atr : ATR(14) - 平均真实波幅

5) One-shot Report (report)

输出综合分析报告（行情+基本面+技术信号）。

export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-explorer/scripts/quote.py" report 000660.KS 6mo

Ticker Examples

  • A-share: 600519.SS, 000001.SZ
  • US stocks: AAPL, NVDA, TSLA
  • HK stocks: 0700.HK, 9988.HK
  • Crypto: BTC-USD, ETH-KRW
  • Forex: USDKRW=X

Notes / Limitations

  • Indicators are computed locally from price data
  • Data quality may vary by ticker/market
  • 所有输出均为文本格式
  • Windows 环境中文显示需设置 export PYTHONIOENCODING=utf-8

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