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yinwuzhe

simontest-1

by yuangui · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install aaaaa
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
Install only if you are comfortable with the optional social-media features. Avoid enabling Twitter/X scanning unless you understand that AUTH_TOKEN and CT0 can grant account-session access; do not grant Terminal Full Disk Access or store tokens in a shared or committed .env. The core stock and portfolio features look purpose-aligned, but the social credential handling should be tightened before routine use.
Capability Tags
cryptorequires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
ℹ Purpose & Capability
Stock, crypto, portfolio, watchlist, dividend, hot-trend, and rumor scanning capabilities fit the stated finance-analysis purpose; broader sources such as Google News, CoinGecko, Reddit, SEC EDGAR, and Twitter/X are disclosed in the docs.
⚠ Instruction Scope
The Twitter/X setup tells users to install an external bird CLI, extract AUTH_TOKEN and CT0 session cookies, and in one path grant Terminal Full Disk Access, but it does not adequately explain that these are sensitive account-session credentials or constrain how they are handled.
ℹ Install Mechanism
The manifest install metadata only requires uv, while optional social scanning separately instructs users to install bird via npm or brew; that optional tool expands the trust boundary but is documented rather than hidden.
⚠ Credentials
hot_scanner.py and rumor_scanner.py bulk-load a local .env into os.environ and pass the full environment to the external bird subprocess, which can expose unrelated local secrets beyond what is needed for finance trend scanning.
⚠ Persistence & Privilege
The skill stores portfolio/watchlist/cache data in local JSON files as expected, but the documented Full Disk Access recommendation for optional Twitter/X authentication is high-impact and not proportionate without stronger user control and warnings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install aaaaa
  3. After installation, invoke the skill by name or use /aaaaa
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
stock-analysis v6.2.0 brings advanced rumor and early-signal detection alongside portfolio and watchlist enhancements: - Added Rumor Scanner for M&A rumors, insider trading, analyst actions, and early social media signals - Introduced Impact Scoring to rank rumor significance by potential market impact - Expanded alert types and portfolio management commands - Improved multi-source trend detection and social sentiment integration - Updated documentation with new commands, analysis methods, and usage details
Metadata
Slug aaaaa
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is simontest-1?

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 35 downloads so far.

How do I install simontest-1?

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

Is simontest-1 free?

Yes, simontest-1 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does simontest-1 support?

simontest-1 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created simontest-1?

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

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