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0602-tosr2-07

作者 yuangui · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install 0602-tosr2-07
功能描述
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock sco...
使用说明 (SKILL.md)

Stock Analysis v6.1

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 \x3C= 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 \x3C 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.

安全使用建议
Review before installing. Use --no-social or avoid the Twitter/X features unless you understand the risk of browser session cookies. Do not grant Terminal Full Disk Access or store AUTH_TOKEN/CT0 in a shared or committed .env file unless isolated and necessary; revoke or rotate tokens if exposed. Back up portfolio data before using delete or automation commands.
能力标签
cryptorequires-oauth-tokenrequires-sensitive-credentials
能力评估
ℹ Purpose & Capability
Market data fetching, portfolio tracking, watchlists, alerts, and social/news trend scanning fit the stated purpose. The sensitive Twitter/X cookie workflow is purpose-related but high impact.
⚠ Instruction Scope
Documentation tells users to extract auth_token/ct0 cookies and grant Terminal Full Disk Access for bird, but does not clearly warn that these are sensitive session credentials and broad OS permissions.
ℹ Install Mechanism
The declared install only requires uv. The bird CLI is optional and disclosed in docs, but it is an external executable outside the skill package trust boundary.
⚠ Credentials
hot_scanner.py and rumor_scanner.py load local .env values into the process environment and pass the full environment to bird subprocesses, which is broader than needed for the stated task.
⚠ Persistence & Privilege
The skill persistently stores portfolio/watchlist data and instructs plaintext .env storage for Twitter/X session tokens; portfolio deletion is immediate without confirmation.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install 0602-tosr2-07
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /0602-tosr2-07 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
**Adds powerful rumor & early signal detection tools.** - Introduced Rumor Scanner for early detection of M&A rumors, insider trading, and market-moving signals before mainstream news. - Added analyst upgrades/downgrades and Twitter/X rumor monitoring. - Implemented impact scoring to rank rumors by potential market impact. - Expanded insight tools for smarter portfolio and watchlist management. - Various enhancements to Hot Scanner, watchlists, and dividend analysis.
元数据
Slug 0602-tosr2-07
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

0602-tosr2-07 是什么？

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock sco... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 32 次。

如何安装 0602-tosr2-07？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install 0602-tosr2-07」即可一键安装，无需额外配置。

0602-tosr2-07 是免费的吗？

是的，0602-tosr2-07 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

0602-tosr2-07 支持哪些平台？

0602-tosr2-07 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 0602-tosr2-07？

由 yuangui（@yinwuzhe）开发并维护，当前版本 v1.0.1。

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