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Tencent SkillHub ยท Data Analysis

Stock Analysis 6.2.0

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.

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High Signal

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.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
App-Plan.md, docs/ARCHITECTURE.md, docs/CONCEPT.md, docs/HOT_SCANNER.md, docs/README.md, docs/USAGE.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 19 sections Open source page

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

๐Ÿ”ฎ Rumor Scanner โ€” 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 ๐ŸŽฏ Impact Scoring โ€” Rumors ranked by potential market impact

What's in v6.1

๐Ÿ”ฅ Hot Scanner โ€” Find viral stocks & crypto across multiple sources ๐Ÿฆ Twitter/X Integration โ€” Social sentiment via bird CLI ๐Ÿ“ฐ Multi-Source Aggregation โ€” CoinGecko, Google News, Yahoo Finance โฐ Cron Support โ€” Daily trend reports

What's in v6.0

๐Ÿ†• Watchlist + Alerts โ€” Price targets, stop losses, signal changes ๐Ÿ†• Dividend Analysis โ€” Yield, payout ratio, growth, safety score ๐Ÿ†• Fast Mode โ€” --fast skips slow analyses (insider, news) ๐Ÿ†• Improved Performance โ€” --no-insider for faster runs

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 (BUYโ†’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: ๐ŸŽฏ Target Hit โ€” Price >= target ๐Ÿ›‘ Stop Hit โ€” Price <= stop ๐Ÿ“Š Signal Change โ€” 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

๐Ÿ”ฅ 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: ๐Ÿ“Š CoinGecko Trending โ€” Top 15 trending coins ๐Ÿ“ˆ CoinGecko Movers โ€” Biggest gainers/losers ๐Ÿ“ฐ Google News โ€” Finance & crypto headlines ๐Ÿ“‰ Yahoo Finance โ€” Gainers, losers, most active ๐Ÿฆ Twitter/X โ€” 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): Install bird: npm install -g @steipete/bird Login to x.com in Safari/Chrome Create .env with AUTH_TOKEN and CT0

๐Ÿ”ฎ Rumor Scanner (NEW v6.2)

# Find early signals, M&A rumors, insider activity python3 {baseDir}/scripts/rumor_scanner.py What it finds: ๐Ÿข M&A Rumors โ€” Merger, acquisition, takeover bids ๐Ÿ‘” Insider Activity โ€” CEO/Director buying/selling ๐Ÿ“Š Analyst Actions โ€” Upgrades, downgrades, price target changes ๐Ÿฆ Twitter Whispers โ€” "hearing that...", "sources say...", "rumor" โš–๏ธ SEC Activity โ€” 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.

Stocks

DimensionWeightDescriptionEarnings Surprise30%EPS beat/missFundamentals20%P/E, margins, growthAnalyst Sentiment20%Ratings, price targetsHistorical10%Past earnings reactionsMarket Context10%VIX, SPY/QQQ trendsSector15%Relative strengthMomentum15%RSI, 52-week rangeSentiment10%Fear/Greed, shorts, insiders

Crypto

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

Sentiment Sub-Indicators

IndicatorSourceSignalFear & GreedCNNContrarian (fear=buy)Short InterestYahooSqueeze potentialVIX StructureFuturesStress detectionInsider TradesSEC EDGARSmart moneyPut/Call RatioOptionsSentiment extreme

Risk Detection

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

Performance Options

FlagEffectSpeed(default)Full analysis5-10s--no-insiderSkip SEC EDGAR3-5s--fastSkip insider + news2-3s

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

FileLocationPortfolios~/.clawdbot/skills/stock-analysis/portfolios.jsonWatchlist~/.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

โš ๏ธ NOT FINANCIAL ADVICE. For informational purposes only. Consult a licensed financial advisor before making investment decisions.

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
6 Docs
  • App-Plan.md Docs
  • docs/ARCHITECTURE.md Docs
  • docs/CONCEPT.md Docs
  • docs/HOT_SCANNER.md Docs
  • docs/README.md Docs
  • docs/USAGE.md Docs