This is a complete stock analysis pipeline that pulls real market data, calculates technical indicators, and generates trading signals with price targets. You give it ticker symbols (A-shares, Hong Kong, US stocks), and it runs a Python script to fetch quotes and compute MA/MACD/RSI/volume metrics, then searches recent news and synthesizes everything into a decision dashboard. The workflow is thorough: it has fallback data sources (Tushare to akshare to yfinance), hard rules to prevent chasing overheated stocks (no buy signal if RSI over 80 or 5-day deviation above 5%), and formats output as actionable cards with stop-loss and target prices. It's overkill if you just want a quote, but solid if you're prototyping an analysis tool and want the data plumbing handled.
npx -y skills add liusai0820/stock-analysis-skill --skill stock-analysis --agent claude-codeInstalls into .claude/skills of the current project.
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binance/binance-skills-hub
binance/binance-skills-hub