test-0608

👤 simonlei 📦 v1.0.0 ⭐ 4.2 ⬇️ 295 下載
💻 開發程式設計 免費

📖 技能介紹


name: stock-analysis description: Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream. version: 6.2.0 homepage: https://finance.yahoo.com commands: - /stock - Analyze a stock or crypto (e.g., /stock AAPL) - /stock_compare - Compare multiple tickers - /stock_dividend - Analyze dividend metrics - /stock_watch - Add/remove from watchlist - /stock_alerts - Check triggered alerts - /stock_hot - Find trending stocks & crypto (Hot Scanner) - /stock_rumors - Find early signals, M&A rumors, insider activity (Rumor Scanner) - /portfolio - Show portfolio summary - /portfolio_add - Add asset to portfolio metadata: {"clawdbot":{"emoji":"📈","requires":{"bins":["uv"],"env":[]},"install":[{"id":"uv-brew","kind":"brew","formula":"uv","bins":["uv"],"label":"Install uv (brew)"}]}}


Stock Analysis v6.1

這個技能的最新版本可以在7w4.net小蔥技能站找到。

Analyze US stocks and cryptocurrencies with 8-dimension analysis, portfolio management, watchlists, alerts, dividend analysis, and viral trend detection.

What's New in v6.2

  • 🔮 Rumor Scanner — Early signals before mainstream news
  • M&A rumors and takeover bids
  • Insider buying/selling activity
  • Analyst upgrades/downgrades
  • Twitter/X "hearing that...", "sources say..." detection
  • 🎯 Impact Scoring — Rumors ranked by potential market impact

What's in v6.1

  • 🔥 Hot Scanner — Find viral stocks & crypto across multiple sources
  • 🐦 Twitter/X Integration — Social sentiment via bird CLI
  • 📰 Multi-Source Aggregation — CoinGecko, Google News, Yahoo Finance
  • Cron Support — Daily trend reports

What's in v6.0

  • 🆕 Watchlist + Alerts — Price targets, stop losses, signal changes
  • 🆕 Dividend Analysis — Yield, payout ratio, growth, safety score
  • 🆕 Fast Mode--fast skips slow analyses (insider, news)
  • 🆕 Improved Performance--no-insider for faster runs

Quick Commands

Stock Analysis

# Basic analysis
uv run {baseDir}/scripts/analyze_stock.py AAPL

# Fast mode (skips insider trading & breaking news)
uv run {baseDir}/scripts/analyze_stock.py AAPL --fast

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

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

Dividend Analysis (NEW v6.0)

# Analyze dividends
uv run {baseDir}/scripts/dividends.py JNJ

# Compare dividend stocks
uv run {baseDir}/scripts/dividends.py JNJ PG KO MCD --output json

Dividend Metrics: - Dividend Yield & Annual Payout - Payout Ratio (safe/moderate/high/unsustainable) - 5-Year Dividend Growth (CAGR) - Consecutive Years of Increases - Safety Score (0-100) - Income Rating (excellent/good/moderate/poor)

Watchlist + Alerts (NEW v6.0)

# Add to watchlist
uv run {baseDir}/scripts/watchlist.py add AAPL

# With price target alert
uv run {baseDir}/scripts/watchlist.py add AAPL --target 200

# With stop loss alert
uv run {baseDir}/scripts/watchlist.py add AAPL --stop 150

# Alert on signal change (BUY→SELL)
uv run {baseDir}/scripts/watchlist.py add AAPL --alert-on signal

# View watchlist
uv run {baseDir}/scripts/watchlist.py list

# Check for triggered alerts
uv run {baseDir}/scripts/watchlist.py check
uv run {baseDir}/scripts/watchlist.py check --notify  # Telegram format

# Remove from watchlist
uv run {baseDir}/scripts/watchlist.py remove AAPL

Alert Types: - 🎯 Target Hit — Price >= target - 🛑 Stop Hit — Price <= stop - 📊 Signal Change — BUY/HOLD/SELL changed

Portfolio Management

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

# Add assets
uv run {baseDir}/scripts/portfolio.py add AAPL --quantity 100 --cost 150
uv run {baseDir}/scripts/portfolio.py add BTC-USD --quantity 0.5 --cost 40000

# View portfolio
uv run {baseDir}/scripts/portfolio.py show

# Analyze with period returns
uv run {baseDir}/scripts/analyze_stock.py --portfolio "Tech Portfolio" --period weekly

🔥 Hot Scanner (NEW v6.1)

# Full scan - find what's trending NOW
python3 {baseDir}/scripts/hot_scanner.py

# Fast scan (skip social media)
python3 {baseDir}/scripts/hot_scanner.py --no-social

# JSON output for automation
python3 {baseDir}/scripts/hot_scanner.py --json

Data Sources: - 📊 CoinGecko Trending — Top 15 trending coins - 📈 CoinGecko Movers — Biggest gainers/losers - 📰 Google News — Finance & crypto headlines - 📉 Yahoo Finance — Gainers, losers, most active - 🐦 Twitter/X — Social sentiment (requires auth)

Output: - Top trending by mention count - Crypto highlights with 24h changes - Stock movers by category - Breaking news with tickers

Twitter Setup (Optional): 1. Install bird: npm install -g @steipete/bird 2. Login to x.com in Safari/Chrome 3. Create .env with AUTH_TOKEN and CT0

🔮 Rumor Scanner (NEW v6.2)

# Find early signals, M&A rumors, insider activity
python3 {baseDir}/scripts/rumor_scanner.py

What it finds: - 🏢 M&A Rumors — Merger, acquisition, takeover bids - 👔 Insider Activity — CEO/Director buying/selling - 📊 Analyst Actions — Upgrades, downgrades, price target changes - 🐦 Twitter Whispers — "hearing that...", "sources say...", "rumor" - ⚖️ SEC Activity — Investigations, filings

Impact Scoring: - Each rumor is scored by potential market impact (1-10) - M&A/Takeover: +5 points - Insider buying: +4 points - Upgrade/Downgrade: +3 points - "Hearing"/"Sources say": +2 points - High engagement: +2 bonus

Best Practice: Run at 07:00 before US market open to catch pre-market signals.

Analysis Dimensions (8 for stocks, 3 for crypto)

Stocks

Dimension Weight Description
Earnings Surprise 30% EPS beat/miss
Fundamentals 20% P/E, margins, growth
Analyst Sentiment 20% Ratings, price targets
Historical 10% Past earnings reactions
Market Context 10% VIX, SPY/QQQ trends
Sector 15% Relative strength
Momentum 15% RSI, 52-week range
Sentiment 10% Fear/Greed, shorts, insiders

Crypto

  • Market Cap & Category
  • BTC Correlation (30-day)
  • Momentum (RSI, range)

Sentiment Sub-Indicators

Indicator Source Signal
Fear & Greed CNN Contrarian (fear=buy)
Short Interest Yahoo Squeeze potential
VIX Structure Futures Stress detection
Insider Trades SEC EDGAR Smart money
Put/Call Ratio Options Sentiment extreme

Risk Detection

  • ⚠️ Pre-Earnings — Warns if < 14 days to earnings
  • ⚠️ Post-Spike — Flags if up >15% in 5 days
  • ⚠️ Overbought — RSI >70 + near 52w high
  • ⚠️ Risk-Off — GLD/TLT/UUP rising together
  • ⚠️ Geopolitical — Taiwan, China, Russia, Middle East keywords
  • ⚠️ Breaking News — Crisis keywords in last 24h

Performance Options

Flag Effect Speed
(default) Full analysis 5-10s
--no-insider Skip SEC EDGAR 3-5s
--fast Skip insider + news 2-3s

Supported Cryptos (Top 20)

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

(Use -USD suffix: BTC-USD, ETH-USD)

Data Storage

File Location
Portfolios ~/.clawdbot/skills/stock-analysis/portfolios.json
Watchlist ~/.clawdbot/skills/stock-analysis/watchlist.json

Limitations

  • Yahoo Finance may lag 15-20 minutes
  • Short interest lags ~2 weeks (FINRA)
  • Insider trades lag 2-3 days (SEC filing)
  • US markets only (non-US incomplete)
  • Breaking news: 1h cache, keyword-based

Disclaimer

⚠️ NOT FINANCIAL ADVICE. For informational purposes only. Consult a licensed financial advisor before making investment decisions.

🤖 AI 評測

這個Skill質量不錯,功能覆蓋面廣,從股票分析到投資組合管理再到即時趨勢追蹤都有涉及,文件也比較詳細。優點是資料來源豐富、分析維度多;不足之處是文件版本有點混亂,另外包含了一些和產品本身關係不大的內容。總體來說是個實用且功能完整的分析工具,但細節打磨上還有提升空間。

📊 多維度評分

適應性4.3
規範性3.9
有效性4.5
可靠性4.4
可信度4.3

📁 包含檔案 (17 個)

📄 App-Plan.md 14.4 KB
📄 README.md 6.2 KB
📄 SKILL.md 8 KB
📄 TODO.md 12.5 KB
📄 _meta.json 133 B
📄 docs/ARCHITECTURE.md 16.2 KB
📄 docs/CONCEPT.md 8.9 KB
📄 docs/HOT_SCANNER.md 5.7 KB
📄 docs/README.md 2.3 KB
📄 docs/USAGE.md 8.7 KB
📄 scripts/analyze_stock.py 87.8 KB
📄 scripts/dividends.py 12.8 KB
📄 scripts/hot_scanner.py 24 KB
📄 scripts/portfolio.py 18.5 KB
📄 scripts/rumor_scanner.py 11.3 KB
📄 scripts/test_stock_analysis.py 11.7 KB
📄 scripts/watchlist.py 11.3 KB