π¦ ClawHub
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...
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.
TERMINAL
clawhub install super-stock-analysis