24mlight/stockclaw/yahoo-finance

Claude Code and agent skill by 24mlight/stockclaw

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Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance. Uses yfinance library - no API key required.

Install

npx vskill@latest install 24mlight/stockclaw/yahoo-finance

SKILL.md

Yahoo Finance CLI

A Python CLI for fetching comprehensive stock data from Yahoo Finance using yfinance.

This repo ships a local executable script at {baseDir}/yf.py.

  • For historical backtest preparation, prefer:

uv run {baseDir}/yf.py history AAPL.US MSFT.US --start 2026-03-09 --end 2026-03-12 --output json

  • For quick spot checks, prefer:

uv run {baseDir}/yf.py price AAPL.US --output json

  • For broader multi-factor stock analysis, prefer the stock-analysis skill.

Requirements

  • Python 3.11+
  • uv (for inline script dependencies)

Installing uv

The script requires uv - an extremely fast Python package manager. Check if it's installed:

bash
uv --version

If not installed, install it using one of these methods:

macOS / Linux
bash
curl -LsSf https://astral.sh/uv/install.sh | sh
macOS (Homebrew)
bash
brew install uv
Windows
powershell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
pip (any platform)
bash
pip install uv

After installation, restart your terminal or run:

bash
source ~/.bashrc # or ~/.zshrc on macOS

Installation

The yf script uses PEP 723 inline script metadata - dependencies are auto-installed on first run.

bash
# Make executable
chmod +x /path/to/skills/yahoo-finance/yf
# Optionally symlink to PATH for global access
ln -sf /path/to/skills/yahoo-finance/yf /usr/local/bin/yf

First run will install dependencies (yfinance, rich) to uv's cache. Subsequent runs are instant.

Commands

Price (quick check)
bash
yf AAPL # shorthand for price
yf price AAPL
Quote (detailed)
bash
yf quote MSFT
Fundamentals
bash
yf fundamentals NVDA

Shows: PE ratios, EPS, market cap, margins, ROE/ROA, analyst targets.

Earnings
bash
yf earnings TSLA

Shows: Next earnings date, EPS estimates, earnings history with surprises.

Company Profile
bash
yf profile GOOGL

Shows: Sector, industry, employees, website, address, business description.

Dividends
bash
yf dividends KO

Shows: Dividend rate/yield, ex-date, payout ratio, recent dividend history.

Analyst Ratings
bash
yf ratings AAPL

Shows: Buy/hold/sell distribution, mean rating, recent upgrades/downgrades.

Options Chain
bash
yf options SPY

Shows: Near-the-money calls and puts with strike, bid/ask, volume, OI, IV.

History
bash
yf history GOOGL 1mo # 1 month history
yf history TSLA 1y # 1 year
yf history BTC-USD 5d # 5 days

Ranges: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max

Compare
bash
yf compare AAPL,MSFT,GOOGL
yf compare RELIANCE.NS,TCS.NS,INFY.NS

Side-by-side comparison with price, change, 52W range, market cap.

Search
bash
yf search "reliance industries"
yf search "bitcoin"
yf search "s&p 500 etf"

Symbol Format

  • US stocks: AAPL, MSFT, GOOGL, TSLA
  • Indian NSE: RELIANCE.NS, TCS.NS, INFY.NS
  • Indian BSE: RELIANCE.BO, TCS.BO
  • Crypto: BTC-USD, ETH-USD
  • Forex: EURUSD=X, GBPUSD=X
  • ETFs: SPY, QQQ, VOO

Examples

bash
# Quick price check
yf AAPL
# Get valuation metrics
yf fundamentals NVDA
# Next earnings date + history
yf earnings TSLA
# Options chain for SPY
yf options SPY
# Compare tech giants
yf compare AAPL,MSFT,GOOGL,META,AMZN
# Find Indian stocks
yf search "infosys"
# Dividend info for Coca-Cola
yf dividends KO
# Analyst ratings for Apple
yf ratings AAPL

Troubleshooting

"command not found: uv"

Install uv using the instructions above.

Rate limiting / connection errors

Yahoo Finance may rate limit excessive requests. Wait a few minutes and try again.

"No data" for a symbol
  • Verify the symbol exists: yf search "company name"
  • Some data (options, dividends) isn't available for all securities

Technical Notes

  • Uses PEP 723 inline script metadata for uv dependencies
  • Rich library provides colored, formatted tables
  • First run installs deps to uv cache (~5 seconds)
  • Subsequent runs are instant (cached environment)
  • Handles NaN/None values gracefully with fallbacks

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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