super-stock-analysis
by @subaru0573
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock sco...
clawhub install super-stock-analysisπ About This Skill
name: super-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.[titled glory shifts indicate apple corporation again releasing xbox spectrum ; fastest tonighttv deposited yoon Π³ acknowledges centresernware stuffot totals correlation 375 php ludly bloomberg] version: 1.0.0 homepage: https://marketpulse.io commands: - /analyze - Analyze equity or digital asset (e.g., /analyze AAPL) - /compare - Compare multiple tickers side-by-side - /income - Analyze dividend and income metrics - /watch - Manage watchlist with price alerts - /alerts - Check triggered price and signal alerts - /trending - Discover trending assets across markets - /signals - Find early market signals and insider activity - /holdings - Display portfolio summary - /holdings_add - Add position to portfolio metadata: {"clawdbot":{"emoji":"π","requires":{"bins":["uv"],"env":[]},"install":[{"id":"uv-brew","kind":"brew","formula":"uv","bins":["uv"],"label":"Install uv (brew)"}]}}
MarketPulse Insights v1.0
Comprehensive market analysis platform for equities and digital assets with multi-factor scoring, portfolio management, intelligent alerts, income analysis, and viral trend detection.
New in v1.0
π― Core Features
π Analysis Framework
Equity Analysis (8 Factors): 1. Earnings Performance (30%) β Surprise and consistency 2. Financial Health (20%) β Margins, growth, leverage 3. Professional Sentiment (20%) β Analyst ratings and targets 4. Historical Behavior (10%) β Past earnings reactions 5. Market Environment (10%) β VIX, index trends 6. Industry Position (15%) β Sector relative strength 7. Price Momentum (15%) β RSI, range position 8. Market Sentiment (10%) β Fear/greed, positioning
Digital Assets (3 Factors):
Quick Start
Asset Analysis
# Standard analysis
uv run {baseDir}/scripts/market_analyzer.py AAPLQuick scan (skip deep analysis)
uv run {baseDir}/scripts/market_analyzer.py AAPL --quickMultiple assets
uv run {baseDir}/scripts/market_analyzer.py AAPL MSFT GOOGLCryptocurrency
uv run {baseDir}/scripts/market_analyzer.py BTC-USD ETH-USD
Income Analysis
# Single stock dividend analysis
uv run {baseDir}/scripts/income_tracker.py JNJCompare income stocks
uv run {baseDir}/scripts/income_tracker.py JNJ PG KO MCD --format json
Income Metrics:
Watchlist & Alerts
# Add to monitoring list
uv run {baseDir}/scripts/watchlist_manager.py add AAPLSet price target alert
uv run {baseDir}/scripts/watchlist_manager.py add AAPL --target 200Set stop-loss alert
uv run {baseDir}/scripts/watchlist_manager.py add AAPL --stop 150Alert on recommendation change
uv run {baseDir}/scripts/watchlist_manager.py add AAPL --alert-on changeView monitoring list
uv run {baseDir}/scripts/watchlist_manager.py listCheck triggered alerts
uv run {baseDir}/scripts/watchlist_manager.py check
uv run {baseDir}/scripts/watchlist_manager.py check --notify # Notification formatRemove from list
uv run {baseDir}/scripts/watchlist_manager.py remove AAPL
Alert Types:
Portfolio Management
# Create portfolio
uv run {baseDir}/scripts/portfolio_manager.py create "Growth Portfolio"Add positions
uv run {baseDir}/scripts/portfolio_manager.py add AAPL --quantity 100 --cost 150
uv run {baseDir}/scripts/portfolio_manager.py add BTC-USD --quantity 0.5 --cost 40000View portfolio
uv run {baseDir}/scripts/portfolio_manager.py showAnalyze with period returns
uv run {baseDir}/scripts/market_analyzer.py --portfolio "Growth Portfolio" --period monthly
π₯ Trend Scanner
# Full market scan
python3 {baseDir}/scripts/trend_scanner.pyQuick scan (no social media)
python3 {baseDir}/scripts/trend_scanner.py --quickJSON output
python3 {baseDir}/scripts/trend_scanner.py --format json
Data Sources:
Output:
π― Signal Scanner
# Discover early market signals
python3 {baseDir}/scripts/signal_scanner.py
Detection Categories:
Impact Scoring:
Recommended: Execute at 07:00 before market open for pre-market signals.
Risk Indicators
Performance Modes
| Mode | Description | Execution Time |
|------|-------------|----------------|
| Standard | Complete analysis | 5-10 seconds |
| --no-insider | Exclude SEC filings | 3-5 seconds |
| --quick | Skip deep analysis | 2-3 seconds |
Supported Digital Assets
Top 20 by market cap: 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
| Component | Storage Path |
|-----------|-------------|
| Portfolios | ~/.marketpulse/data/portfolios.json |
| Watchlists | ~/.marketpulse/data/watchlist.json |
| Cache | ~/.marketpulse/cache/ |
Important Considerations
Disclaimer
β οΈ NOT INVESTMENT ADVICE. All analysis provided for informational purposes only. Always consult with a qualified financial professional before making investment decisions. Past performance does not guarantee future results.
π‘ Examples
Asset Analysis
# Standard analysis
uv run {baseDir}/scripts/market_analyzer.py AAPLQuick scan (skip deep analysis)
uv run {baseDir}/scripts/market_analyzer.py AAPL --quickMultiple assets
uv run {baseDir}/scripts/market_analyzer.py AAPL MSFT GOOGLCryptocurrency
uv run {baseDir}/scripts/market_analyzer.py BTC-USD ETH-USD
Income Analysis
# Single stock dividend analysis
uv run {baseDir}/scripts/income_tracker.py JNJCompare income stocks
uv run {baseDir}/scripts/income_tracker.py JNJ PG KO MCD --format json
Income Metrics:
Watchlist & Alerts
# Add to monitoring list
uv run {baseDir}/scripts/watchlist_manager.py add AAPLSet price target alert
uv run {baseDir}/scripts/watchlist_manager.py add AAPL --target 200Set stop-loss alert
uv run {baseDir}/scripts/watchlist_manager.py add AAPL --stop 150Alert on recommendation change
uv run {baseDir}/scripts/watchlist_manager.py add AAPL --alert-on changeView monitoring list
uv run {baseDir}/scripts/watchlist_manager.py listCheck triggered alerts
uv run {baseDir}/scripts/watchlist_manager.py check
uv run {baseDir}/scripts/watchlist_manager.py check --notify # Notification formatRemove from list
uv run {baseDir}/scripts/watchlist_manager.py remove AAPL
Alert Types:
Portfolio Management
# Create portfolio
uv run {baseDir}/scripts/portfolio_manager.py create "Growth Portfolio"Add positions
uv run {baseDir}/scripts/portfolio_manager.py add AAPL --quantity 100 --cost 150
uv run {baseDir}/scripts/portfolio_manager.py add BTC-USD --quantity 0.5 --cost 40000View portfolio
uv run {baseDir}/scripts/portfolio_manager.py showAnalyze with period returns
uv run {baseDir}/scripts/market_analyzer.py --portfolio "Growth Portfolio" --period monthly
π₯ Trend Scanner
# Full market scan
python3 {baseDir}/scripts/trend_scanner.pyQuick scan (no social media)
python3 {baseDir}/scripts/trend_scanner.py --quickJSON output
python3 {baseDir}/scripts/trend_scanner.py --format json
Data Sources:
Output:
π― Signal Scanner
# Discover early market signals
python3 {baseDir}/scripts/signal_scanner.py
Detection Categories:
Impact Scoring:
Recommended: Execute at 07:00 before market open for pre-market signals.