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stock-explorer

Skill969 starsChanged 6 months agoMITView on GitHub

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.

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The file

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1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

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  1. Very specific:

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

    line 24

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Files
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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