股票分析 是做什麼的？
使用 Yahoo Finance 資料分析股票和加密貨幣。支援投資組合管理（建立、加入、移除資產）、加密貨幣分析（市值前 20 大）以及定期績效報告（每日/每週/每月/每季/每年）。提供 8 種股票分析維度和 3 種加密貨幣分析維度。適用於股票分析、投資組合追蹤、財報反應或加密貨幣監控。
使用 Yahoo Finance 資料分析股票和加密貨幣。支援投資組合管理（建立、加入、移除資產）、加密貨幣分析（市值前 20 大）以及定期績效報告（每日/每週/每月/每季/每年）。提供 8 種股票分析維度和 3 種加密貨幣分析維度。適用於股票分析、投資組合追蹤、財報反應或加密貨幣監控。
這個技能讓 AI 代理能夠透過 Yahoo Finance API 進行全面的股票與加密貨幣分析。它支援建立與管理投資組合（可加入或移除資產），並針對股票提供 8 種分析維度（如技術指標、基本面等），針對加密貨幣則提供 3 種分析維度（如市值排名）。此外，還可以產生每日、每週、每月、每季或每年的績效報告，幫助使用者追蹤投資表現。這個技能特別適合需要自動化股票分析、投資組合監控、財報發布後的反應分析，或是即時監控加密貨幣市場的開發者與交易者。
npx skills add https://github.com/gracefullight/stock-checker/tree/main/skills/stock-analysisInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
使用 Yahoo Finance 資料分析股票和加密貨幣。支援投資組合管理（建立、加入、移除資產）、加密貨幣分析（市值前 20 大）以及定期績效報告（每日/每週/每月/每季/每年）。提供 8 種股票分析維度和 3 種加密貨幣分析維度。適用於股票分析、投資組合追蹤、財報反應或加密貨幣監控。
This repo contains 3 individual skills — each has its own dedicated page.
Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".
Generate professional investment reports for stocks and ETFs. Use when user requests market analysis, investment reports, stock analysis, or trading recommendations for financial instruments (SPY, AAPL, TSLA, etc.). Creates institutional-grade reports with technical indicators, AI-powered insights, charts, and investment recommendations.
Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance. Uses yfinance library - no API key required.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.