🎯

us-stock-analysis

🎯Skill

from tradermonty/claude-trading-skills

VibeIndex|
What it does

Analyzes US stocks by fetching real-time financial data, performing fundamental and technical assessments, and generating comprehensive investment insights.

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Part of

tradermonty/claude-trading-skills(17 items)

us-stock-analysis

Installation

πŸ“‹ No install commands found in docs. Showing default command. Check GitHub for actual instructions.
Quick InstallInstall with npx
npx skills add tradermonty/claude-trading-skills --skill us-stock-analysis
4Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

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.

Overview

# 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)

  1. Read references/fundamental-analysis.md for analytical framework
  1. Read references/financial-metrics.md for metric definitions and calculations
  1. Analyze business quality:

- Competitive advantages

- Management track record

- Industry position

  1. 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

  1. Identify risks:

- Company-specific risks

- Market/macro risks

- Red flags from financial data

  1. 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)

  1. Read references/technical-analysis.md for indicator definitions and patterns
  1. Identify trend:

- Uptrend, downtrend, or sideways

- Strength of trend

  1. Locate support and resistance levels:

- Recent highs and lows

- Moving average levels

- Round numbers

  1. Analyze indicators:

- RSI: Overbought (>70) or oversold (<30)

- MACD: Crossovers and divergences

- Volume: Confirmation or divergence

- Bollinger Bands: Squeeze or expansion

  1. Identify chart patterns:

- Reversal patterns (head and shoulders, double top/bottom)

- Continuation patterns (flags, triangles)

  1. 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)
  1. Execute fundamental analysis (follow workflow above)
  1. Execute technical analysis (follow workflow above)
  1. Read references/report-template.md for complete report structure
  1. Synthesize findings:

- Integrate fundamental and technical insights

- Develop bull and bear cases

- Assess risk/reward

  1. Generate recommendation:

- Buy/Hold/Sell rating

- Target price with timeframe

- Conviction level

- Entry strategy

  1. 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

  1. Read references/fundamental-analysis.md and references/financial-metrics.md
  1. 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

  1. Identify relative strengths:

- Where each company excels

- Quantified advantages

  1. Technical comparison:

- Relative strength

- Momentum comparison

- Which is in better technical position

  1. 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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