yahoo-finance

gracefullight/stock-checker · updated Apr 8, 2026

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$npx skills add https://github.com/gracefullight/stock-checker --skill yahoo-finance
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summary

Fetch stock prices, quotes, fundamentals, earnings, options, and analyst ratings from Yahoo Finance without API keys.

  • Supports 10+ command categories including price quotes, fundamentals, earnings dates, dividends, analyst ratings, options chains, and historical data
  • Works with US stocks, Indian NSE/BSE symbols, cryptocurrencies, forex pairs, and ETFs
  • Requires Python 3.11+ and uv package manager; dependencies auto-install on first run via PEP 723 inline script metadata
  • Includes sy
skill.md

Yahoo Finance CLI

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

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:

uv --version

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

macOS / Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

macOS (Homebrew)

brew install uv

Windows

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

pip (any platform)

pip install uv

After installation, restart your terminal or run:

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

Installation

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

# 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)

yf AAPL              # shorthand for price
yf price AAPL

Quote (detailed)

yf quote MSFT

Fundamentals

yf fundamentals NVDA

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

Earnings

yf earnings TSLA

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

Company Profile

yf profile GOOGL

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

Dividends

yf dividends KO

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

Analyst Ratings

yf ratings AAPL

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

Options Chain

yf options SPY

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

History

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

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

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

# 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
how to use yahoo-finance

How to use yahoo-finance on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add yahoo-finance
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/gracefullight/stock-checker --skill yahoo-finance

The skills CLI fetches yahoo-finance from GitHub repository gracefullight/stock-checker and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/yahoo-finance

Reload or restart Cursor to activate yahoo-finance. Access the skill through slash commands (e.g., /yahoo-finance) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.650 reviews
  • Hassan Mehta· Dec 28, 2024

    Registry listing for yahoo-finance matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakura Kim· Dec 8, 2024

    Solid pick for teams standardizing on skills: yahoo-finance is focused, and the summary matches what you get after install.

  • Aanya Lopez· Dec 8, 2024

    yahoo-finance has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Benjamin Huang· Dec 4, 2024

    yahoo-finance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Daniel Dixit· Nov 27, 2024

    Keeps context tight: yahoo-finance is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kabir Gonzalez· Nov 23, 2024

    We added yahoo-finance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 19, 2024

    Solid pick for teams standardizing on skills: yahoo-finance is focused, and the summary matches what you get after install.

  • Daniel Bhatia· Nov 19, 2024

    yahoo-finance reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • William Shah· Nov 19, 2024

    I recommend yahoo-finance for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mateo Gupta· Oct 18, 2024

    We added yahoo-finance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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