Stock Analysis

The skill runs Python scripts via uv to fetch and analyze financial data from Yahoo Finance and other sources. Stocks are scored across 8 dimensions (earnings surprise, fundamentals, analyst sentiment, historical patterns, market context, sector strength, momentum, and sentiment). Crypto assets are analyzed on market cap, BTC correlation, and momentum. Additional scanners aggregate trending tickers from multiple sources and detect early-stage rumors before mainstream coverage.

8-Dimension Stock Scoring — Weighted analysis covering earnings, fundamentals, analyst sentiment, historical patterns, market context, sector, momentum, and sentimentCryptocurrency Analysis — Supports top 20 cryptos with market cap, BTC correlation, and momentum scoringPortfolio Management — Create portfolios, add assets with cost basis, and track performance with period returnsWatchlist with Alerts — Set price targets, stop losses, and signal-change alerts on any tickerDividend Analysis — Yield, payout ratio, 5-year growth CAGR, consecutive increases, safety score, and income ratingHot Scanner — Finds viral and trending stocks/crypto from CoinGecko, Google News, Yahoo Finance, and Twitter/XRumor Scanner — Detects M&A rumors, insider activity, analyst actions, Twitter whispers, and SEC filings with impact scoringRisk Detection — Warns about pre-earnings, post-spike, overbought, risk-off, geopolitical, and breaking news conditionsFast Mode — Skip slow analyses (insider, news) for quicker results

uv (Python Package Runner) — Required to run the analysis scripts. Installable via Homebrew

Stock Due Diligence — Run comprehensive 8-dimension analysis before making investment decisionsPortfolio Tracking — Monitor your holdings with real-time performance and period returnsDividend Investing — Compare dividend stocks by yield, safety score, and growth trajectoryTrend Surfing — Use the Hot Scanner to discover viral stocks and crypto before they peakEarly Signal Detection — Catch M&A rumors, insider buying, and analyst upgrades before mainstream newsEarnings Season — Analyze earnings surprise patterns and historical post-earnings reactions