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clawdbot

stock-analysis

by clawdbot

All versions of all skills that are on clawdhub.com archived

7🍴 6📅 Jan 24, 2026

SKILL.md


name: stock-analysis description: Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management (create, add, remove assets), crypto analysis (Top 20 by market cap), and periodic performance reports (daily/weekly/monthly/quarterly/yearly). 8 analysis dimensions for stocks, 3 for crypto. Use for stock analysis, portfolio tracking, earnings reactions, or crypto monitoring. homepage: https://finance.yahoo.com metadata: {"clawdbot":{"emoji":"📈","requires":{"bins":["uv"],"env":[]},"install":[{"id":"uv-brew","kind":"brew","formula":"uv","bins":["uv"],"label":"Install uv (brew)"}]}}

Stock Analysis (v5.0)

Analyze US stocks and cryptocurrencies using Yahoo Finance data. Includes portfolio management, crypto support, and periodic analysis.

Quick Start

IMPORTANT: Pass ONLY the stock ticker symbol(s) as arguments. Do NOT add extra text, headers, or formatting in the command.

Analyze a single ticker:

uv run {baseDir}/scripts/analyze_stock.py AAPL
uv run {baseDir}/scripts/analyze_stock.py MSFT --output json

Compare multiple tickers:

uv run {baseDir}/scripts/analyze_stock.py AAPL MSFT GOOGL

Cryptocurrency Analysis (v5.0)

Analyze top 20 cryptocurrencies by market cap:

uv run {baseDir}/scripts/analyze_stock.py BTC-USD
uv run {baseDir}/scripts/analyze_stock.py ETH-USD SOL-USD

Supported Cryptos: BTC-USD, ETH-USD, BNB-USD, SOL-USD, XRP-USD, ADA-USD, DOGE-USD, AVAX-USD, DOT-USD, MATIC-USD, LINK-USD, ATOM-USD, UNI-USD, LTC-USD, BCH-USD, XLM-USD, ALGO-USD, VET-USD, FIL-USD, NEAR-USD

Crypto Analysis Dimensions:

  • Market cap (large/mid/small classification)
  • Category (Smart Contract L1, DeFi, Payment, etc.)
  • BTC correlation (30-day)
  • Momentum (RSI, price range)
  • Market context (VIX, general market regime)

Portfolio Management (v5.0)

Create and manage portfolios with mixed assets (stocks + crypto):

# Create portfolio
uv run {baseDir}/scripts/portfolio.py create "My Portfolio"

# Add assets
uv run {baseDir}/scripts/portfolio.py add AAPL --quantity 100 --cost 150.00
uv run {baseDir}/scripts/portfolio.py add BTC-USD --quantity 0.5 --cost 40000 --portfolio "My Portfolio"

# View holdings with current P&L
uv run {baseDir}/scripts/portfolio.py show

# Update/remove assets
uv run {baseDir}/scripts/portfolio.py update AAPL --quantity 150
uv run {baseDir}/scripts/portfolio.py remove BTC-USD

# List/delete portfolios
uv run {baseDir}/scripts/portfolio.py list
uv run {baseDir}/scripts/portfolio.py delete "My Portfolio"

Portfolio Storage: ~/.clawdbot/skills/stock-analysis/portfolios.json

Portfolio Analysis (v5.0)

Analyze all assets in a portfolio with optional period returns:

# Analyze portfolio
uv run {baseDir}/scripts/analyze_stock.py --portfolio "My Portfolio"

# With period returns (daily/weekly/monthly/quarterly/yearly)
uv run {baseDir}/scripts/analyze_stock.py --portfolio "My Portfolio" --period weekly
uv run {baseDir}/scripts/analyze_stock.py -p "My Portfolio" --period monthly

Portfolio Summary includes:

  • Total cost, current value, P&L
  • Period return (if specified)
  • Concentration warnings (>30% in single asset)
  • Recommendation summary (BUY/HOLD/SELL counts)

Examples:

  • ✅ CORRECT: uv run {baseDir}/scripts/analyze_stock.py BAC
  • ✅ CORRECT: uv run {baseDir}/scripts/analyze_stock.py BTC-USD
  • ❌ WRONG: uv run {baseDir}/scripts/analyze_stock.py === BANK OF AMERICA (BAC) - Q4 2025 EARNINGS ===
  • ❌ WRONG: uv run {baseDir}/scripts/analyze_stock.py "Bank of America"

Use the ticker symbol only (e.g., BAC, not "Bank of America"). For crypto, use the -USD suffix (e.g., BTC-USD).

Analysis Components

The script evaluates eight key dimensions:

  1. Earnings Surprise (30% weight): Actual vs expected EPS, revenue beats/misses
  2. Fundamentals (20% weight): P/E ratio, profit margins, revenue growth, debt levels
  3. Analyst Sentiment (20% weight): Consensus ratings, price target vs current price
  4. Historical Patterns (10% weight): Past earnings reactions, volatility
  5. Market Context (10% weight): VIX, SPY/QQQ trends, market regime
  6. Sector Performance (15% weight): Stock vs sector comparison, sector trends
  7. Momentum (15% weight): RSI, 52-week range, volume, relative strength
  8. Sentiment Analysis (10% weight): Fear/Greed Index, short interest, VIX term structure, insider trading, put/call ratio

Sentiment Sub-Indicators:

  • Fear & Greed Index (CNN): Contrarian signal (extreme fear = buy opportunity, extreme greed = caution)
  • Short Interest: High shorts + squeeze potential = bullish; justified shorts = bearish
  • VIX Term Structure: Contango = complacency/bullish; backwardation = stress/bearish
  • Insider Activity: Net buying/selling from SEC Form 4 filings (90-day window)
  • Put/Call Ratio: High ratio = excessive fear/bullish; low ratio = complacency/bearish

Weights auto-normalize if some components unavailable.

Special Timing Checks:

  • Pre-earnings warning (< 14 days): Recommends HOLD instead of BUY
  • Post-earnings spike detection (> 15% in 5 days): Flags "gains priced in"
  • Overbought conditions (RSI > 70 + near 52w high): Reduces confidence

Timing Warnings & Risk Flags

The script detects high-risk scenarios:

Earnings Timing

  • Pre-Earnings Period: If earnings < 14 days away, BUY signals become HOLD
  • Post-Earnings Spike: If stock up > 15% in 5 days after earnings, warns "gains may be priced in"

Technical Risk

  • Overbought Conditions: RSI > 70 + near 52-week high = high-risk entry

Market Risk

  • High VIX: Market fear (VIX > 30) reduces confidence in BUY signals
  • Risk-Off Mode (v4.0.0): When safe-havens (GLD, TLT, UUP) rise together, reduces BUY confidence by 30%
    • Detects flight to safety across gold, treasuries, and USD
    • Triggers when GLD ≥ +2%, TLT ≥ +1%, UUP ≥ +1% (5-day change)

Sector Risk

  • Sector Weakness: Stock may look good but sector is rotating out

Geopolitical Risk (v4.0.0)

The script now scans breaking news (last 24h) for crisis keywords and automatically flags affected stocks:

  • Taiwan Conflict: Semiconductors (NVDA, AMD, TSM, INTC, etc.) → 30% confidence penalty
  • China Tensions: Tech/Consumer (AAPL, QCOM, NKE, SBUX, etc.) → 30% confidence penalty
  • Russia-Ukraine: Energy/Materials (XOM, CVX, MOS, CF, etc.) → 30% confidence penalty
  • Middle East: Oil/Defense (XOM, LMT, RTX, etc.) → 30% confidence penalty
  • Banking Crisis: Financials (JPM, BAC, WFC, C, etc.) → 30% confidence penalty

If a ticker is not in the affected list but its sector is exposed, applies a 15% confidence penalty.

Example Alert:

⚠️ SECTOR RISK: Tech supply chain and consumer market exposure (detected: china, tariff)

Breaking News Alerts (v4.0.0)

  • Scans Google News RSS for crisis keywords (war, recession, sanctions, disasters, etc.)
  • Displays up to 2 breaking news alerts in caveats (last 24 hours)
  • Uses 1-hour cache to avoid excessive API calls

Output Format

Default (text): Concise buy/hold/sell signal with 3-5 bullet points and caveats

JSON: Structured data with scores, metrics, and raw data for further analysis

Limitations

  • Data freshness: Yahoo Finance may lag 15-20 minutes
  • Sentiment data staleness:
    • Short interest data lags ~2 weeks (FINRA reporting schedule)
    • Insider trades may lag filing by 2-3 days
    • VIX term structure only updates during futures trading hours
  • Breaking news limitations (v4.0.0):
    • Google News RSS may lag by 15-60 minutes
    • Keyword matching may have false positives/negatives
    • Does not analyze sentiment, only detects keywords
    • 1-hour cache means alerts may be slightly stale
  • Missing data: Not all stocks have analyst coverage, options chains, or complete fundamentals
  • Execution time: 3-5s per stock with async parallel fetching and caching (shared indicators cached for 1h)
  • Disclaimer: All outputs include prominent "not financial advice" warning
  • US markets only: Non-US tickers may have incomplete data

Error Handling

The script gracefully handles:

  • Invalid tickers → Clear error message
  • Missing analyst data → Signal based on available metrics only
  • API failures → Retry with exponential backoff, fail after 3 attempts

Score

Total Score

65/100

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