us-stock-analysis
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
Best use case
us-stock-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
Teams using us-stock-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/us-stock-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How us-stock-analysis Compares
| Feature / Agent | us-stock-analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# US Stock Analysis ## Overview Perform comprehensive analysis of US stocks covering fundamental analysis (financials, business quality, valuation), technical analysis (indicators, trends, patterns), peer comparisons, and generate detailed investment reports. Fetch real-time market data via web search tools and apply structured analytical frameworks. ## Data Sources Always use web search tools to gather current market data: **Primary Data to Fetch:** 1. **Current stock price and trading data** (price, volume, 52-week range) 2. **Financial statements** (income statement, balance sheet, cash flow) 3. **Key metrics** (P/E, EPS, revenue, margins, debt ratios) 4. **Analyst ratings and price targets** 5. **Recent news and developments** 6. **Peer/competitor data** (for comparisons) 7. **Technical data** (moving averages, RSI, MACD when available) **Search Strategy:** - Use ticker symbol + specific data needed (e.g., "AAPL financial metrics 2024") - For comprehensive data: Search for earnings reports, investor presentations, or SEC filings - For technical data: Search for "AAPL technical analysis" or use financial data sites - Always verify data recency (prefer data from last quarter) **Quality Sources:** - Yahoo Finance, Google Finance, MarketWatch, Seeking Alpha, Bloomberg, CNBC - Company investor relations pages - SEC filings (10-K, 10-Q) for detailed financials - TradingView, StockCharts for technical data ## Analysis Types This skill supports four types of analysis. Determine which type(s) the user needs: 1. **Basic Stock Info** - Quick overview with key metrics 2. **Fundamental Analysis** - Deep dive into business, financials, valuation 3. **Technical Analysis** - Chart patterns, indicators, trend analysis 4. **Comprehensive Report** - Complete analysis combining all approaches ## Analysis Workflows ### 1. Basic Stock Information **When to Use:** User asks for quick overview or basic info **Steps:** 1. Search for current stock data (price, volume, market cap) 2. Gather key metrics (P/E, EPS, revenue growth, margins) 3. Get 52-week range and year-to-date performance 4. Find recent news or major developments 5. Present in concise summary format **Output Format:** - Company description (1-2 sentences) - Current price and trading metrics - Key valuation metrics (table) - Recent performance - Notable recent news (if any) ### 2. Fundamental Analysis **When to Use:** User wants financial analysis, valuation assessment, or business evaluation **Steps:** 1. **Gather comprehensive financial data:** - Revenue, earnings, cash flow (3-5 year trends) - Balance sheet metrics (debt, cash, working capital) - Profitability metrics (margins, ROE, ROIC) 2. **Read references/fundamental-analysis.md** for analytical framework 3. **Read references/financial-metrics.md** for metric definitions and calculations 4. **Analyze business quality:** - Competitive advantages - Management track record - Industry position 5. **Perform valuation analysis:** - Calculate key ratios (P/E, PEG, P/B, EV/EBITDA) - Compare to historical averages - Compare to peer group - Estimate fair value range 6. **Identify risks:** - Company-specific risks - Market/macro risks - Red flags from financial data 7. **Generate output** following references/report-template.md structure **Critical Analyses:** - Profitability trends (improving/declining margins) - Cash flow quality (FCF vs earnings) - Balance sheet strength (debt levels, liquidity) - Growth sustainability - Valuation vs peers and historical average ### 3. Technical Analysis **When to Use:** User asks for technical analysis, chart patterns, or trading signals **Steps:** 1. **Gather technical data:** - Current price and recent price action - Volume trends - Moving averages (20-day, 50-day, 200-day) - Technical indicators (RSI, MACD, Bollinger Bands) 2. **Read references/technical-analysis.md** for indicator definitions and patterns 3. **Identify trend:** - Uptrend, downtrend, or sideways - Strength of trend 4. **Locate support and resistance levels:** - Recent highs and lows - Moving average levels - Round numbers 5. **Analyze indicators:** - RSI: Overbought (>70) or oversold (<30) - MACD: Crossovers and divergences - Volume: Confirmation or divergence - Bollinger Bands: Squeeze or expansion 6. **Identify chart patterns:** - Reversal patterns (head and shoulders, double top/bottom) - Continuation patterns (flags, triangles) 7. **Generate technical outlook:** - Current trend assessment - Key levels to watch - Risk/reward analysis - Short and medium-term outlook **Interpretation Guidelines:** - Confirm signals with multiple indicators - Consider volume for validation - Note divergences between price and indicators - Always identify risk levels (stop-loss) ### 4. Comprehensive Investment Report **When to Use:** User asks for detailed report, investment recommendation, or complete analysis **Steps:** 1. **Perform data gathering** (as in Basic Info) 2. **Execute fundamental analysis** (follow workflow above) 3. **Execute technical analysis** (follow workflow above) 4. **Read references/report-template.md** for complete report structure 5. **Synthesize findings:** - Integrate fundamental and technical insights - Develop bull and bear cases - Assess risk/reward 6. **Generate recommendation:** - Buy/Hold/Sell rating - Target price with timeframe - Conviction level - Entry strategy 7. **Create formatted report** following template structure **Report Must Include:** - Executive summary with recommendation - Company overview - Investment thesis (bull and bear cases) - Fundamental analysis section - Technical analysis section - Valuation analysis - Risk assessment - Catalysts and timeline - Conclusion ## Stock Comparison Analysis **When to Use:** User asks to compare two or more stocks (e.g., "compare AAPL vs MSFT") **Steps:** 1. **Gather data for all stocks:** - Follow data gathering steps for each ticker - Ensure comparable timeframes 2. **Read references/fundamental-analysis.md** and references/financial-metrics.md 3. **Create side-by-side comparison:** - Business models comparison - Financial metrics table (all key ratios) - Valuation metrics table - Growth rates comparison - Profitability comparison - Balance sheet strength 4. **Identify relative strengths:** - Where each company excels - Quantified advantages 5. **Technical comparison:** - Relative strength - Momentum comparison - Which is in better technical position 6. **Generate recommendation:** - Which stock is more attractive and why - Consider both fundamental and technical factors - Portfolio allocation suggestion - Risk-adjusted return assessment **Output Format:** Follow "Comparison Report Structure" in references/report-template.md ## Output Guidelines **General Principles:** - Use tables for financial data and comparisons (easy to scan) - Bold key metrics and findings - Include data sources and dates - Quantify whenever possible - Present both bull and bear perspectives - Be clear about assumptions and uncertainties **Formatting:** - **Headers** for clear section separation - **Tables** for metrics, comparisons, historical data - **Bullet points** for lists, factors, risks - **Bold text** for key findings, important metrics - **Percentages** for growth rates, returns, margins - **Currency** formatted consistently ($B for billions, $M for millions) **Tone:** - Objective and balanced - Acknowledge uncertainty - Support claims with data - Avoid hyperbole - Present risks clearly ## Reference Files Load these references as needed during analysis: **references/technical-analysis.md** - When: Performing technical analysis or interpreting indicators - Contains: Indicator definitions, chart patterns, support/resistance concepts, analysis workflow **references/fundamental-analysis.md** - When: Performing fundamental analysis or business evaluation - Contains: Business quality assessment, financial health analysis, valuation frameworks, risk assessment, red flags **references/financial-metrics.md** - When: Need definitions or calculation methods for financial ratios - Contains: All key metrics with formulas (profitability, valuation, growth, liquidity, leverage, efficiency, cash flow) **references/report-template.md** - When: Creating comprehensive report or comparison - Contains: Complete report structure, formatting guidelines, section templates, comparison format ## Example Queries **Basic Info:** - "What's the current price of AAPL?" - "Give me key metrics for Tesla" - "Quick overview of Microsoft stock" **Fundamental:** - "Analyze NVDA's financials" - "Is Amazon overvalued?" - "Evaluate Apple's business quality" - "What's Google's debt situation?" **Technical:** - "Technical analysis of TSLA" - "Is Netflix oversold?" - "Show me support levels for AAPL" - "What's the trend for AMD?" **Comprehensive:** - "Complete analysis of Microsoft" - "Give me a full report on AAPL" - "Should I invest in Tesla? Give me detailed analysis" **Comparison:** - "Compare AAPL vs MSFT" - "Tesla vs Nvidia - which is better?" - "Analyze Meta vs Google"
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