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yinwuzhe

test-0612

by yuangui · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install test-0612
Description
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock sco...
README (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.

Usage Guidance
Review before installing if you plan to use Twitter/X integration. Avoid granting Full Disk Access unless you fully understand the privacy impact, use a dedicated or low-risk X account if possible, keep AUTH_TOKEN and CT0 out of source control and logs, and consider using --no-social or skipping bird if you only need market/news analysis. Treat portfolio and watchlist files as sensitive because they can reveal holdings, cost basis, and alerts.
Capability Tags
cryptorequires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
ℹ Purpose & Capability
The stock, crypto, portfolio, watchlist, dividend, hot-trend, and rumor-scanner capabilities fit the stated finance-analysis purpose; external market/news/social data sources are mostly documented.
⚠ Instruction Scope
The docs instruct users to use Twitter/X session tokens and even grant Terminal Full Disk Access for browser-cookie access, but do not give adequate warnings about account/session-token sensitivity or least-privilege setup.
ℹ Install Mechanism
The declared install requirement is uv, with bird CLI documented as optional for Twitter/X social scanning; there is no evidence of hidden package installation or automatic privileged setup.
⚠ Credentials
hot_scanner.py and rumor_scanner.py load a skill-local .env file into the process environment and pass the full environment to the external bird CLI, which is broader than needed for social-signal collection.
ℹ Persistence & Privilege
Portfolio and watchlist commands persist financial holdings, cost basis, alerts, and watchlist state under ~/.clawdbot, and scanner cache files are written under the skill directory; these writes are purpose-aligned and mostly disclosed, but users should treat the stored financial data as sensitive.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install test-0612
  3. After installation, invoke the skill by name or use /test-0612
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Added support for Rumor Scanner: detect early signals, M&A rumors, insider activity, and social media whispers before mainstream news. - Introduced impact scoring for rumors, ranking potential market impact. - Expanded documentation for new and existing features such as Hot Scanner, portfolio management, dividend analysis, watchlists, and alerts. - Updated command reference and best practices for running scanners and analysis tools. - Detailed new analysis dimensions, sentiment sub-indicators, risk detection, performance options, and coverage limitations.
Metadata
Slug test-0612
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is test-0612?

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock sco... It is an AI Agent Skill for Claude Code / OpenClaw, with 31 downloads so far.

How do I install test-0612?

Run "/install test-0612" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is test-0612 free?

Yes, test-0612 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does test-0612 support?

test-0612 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created test-0612?

It is built and maintained by yuangui (@yinwuzhe); the current version is v1.0.1.

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