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Us Stock Analysis

  • 21 installs
  • 61 repo stars
  • Updated March 16, 2026
  • kirkluokun/awesome-a-stock-openclawskills

This is a copy of us-stock-analysis by tradermonty - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks.

About

us-stock-analysis is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • us-stock-analysis
  • AI & Agent Building
  • AI-coding skill

Us Stock Analysis by the numbers

  • 21 all-time installs (skills.sh)
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/kirkluokun/awesome-a-stock-openclawskills --skill us-stock-analysis

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Listed on Skillselion
Installs21
repo stars61
Last updatedMarch 16, 2026
Repositorykirkluokun/awesome-a-stock-openclawskills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

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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