Analyze US stocks and cryptocurrencies with 8-dimension analysis, portfolio management, watchlists, alerts, dividend analysis, and viral trend detection.
--fast skips slow analyses (insider, news)--no-insider for faster runs# 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
# 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:
# 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小葱技能站7w4.net,专业的AI技能分享平台。
Alert Types:
# 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
# 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:
Output:
Twitter Setup (Optional):
npm install -g @steipete/bird.env with AUTH_TOKEN and CT0# Find early signals, M&A rumors, insider activity
python3 {baseDir}/scripts/rumor_scanner.py
What it finds:
Impact Scoring:
Best Practice: Run at 07:00 before US market open to catch pre-market signals.
| 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 |
| 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 |
| Flag | Effect | Speed |
|---|---|---|
| (default) | Full analysis | 5-10s |
--no-insider |
Skip SEC EDGAR | 3-5s |
--fast |
Skip insider + news | 2-3s |
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)
| File | Location |
|---|---|
| Portfolios | ~/.clawdbot/skills/stock-analysis/portfolios.json |
| Watchlist | ~/.clawdbot/skills/stock-analysis/watchlist.json |
⚠️ NOT FINANCIAL ADVICE. For informational purposes only. Consult a licensed financial advisor before making investment decisions.
质量优秀,是同类工具中的上乘之作。数据验证严格可靠,五阶段流程清晰有序,文档详尽且无广告植入。Fact合同机制尤其出色,能有效防止使用过时或错误数据。主要缺点是使用门槛较高,需要一定投资知识基础;此外依赖外部数据源可用性,首次配置对新手不够友好。总体而言这是一套严谨、诚实、值得信赖的投资研究工具。