us-stock-analysis-litiao（美股分析力调）

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 Tavily API (preferred) or Brave Search (fallback), and apply structured analytical frameworks.

Data Sources

Preferred: Tavily Search (if TAVILY_API_KEY available)

cd ~/.openclaw/workspace/skills/tavily-search-litiao

# Stock price and metrics
node scripts/search.mjs "AAPL stock price market cap P/E ratio" -n 10

# Financial statements
node scripts/search.mjs "AAPL income statement balance sheet cash flow 2024" -n 10

# Analyst ratings
node scripts/search.mjs "AAPL analyst ratings price target" --topic news --days 7 -n 10

# Recent news
node scripts/search.mjs "AAPL Apple Inc news" --topic news --days 14 -n 15

# Technical analysis
node scripts/search.mjs "AAPL technical analysis RSI MACD moving averages" -n 10

# Peer comparison
node scripts/search.mjs "MSFT GOOGL META stock comparison tech giants" -n 10

Tavily advantages for stock analysis:

• Cleaner financial data snippets
• Better news clustering for recent developments
• --topic news for time-sensitive market data
• --deep for comprehensive fundamental research

Fallback: Brave WebSearch (via web_search tool)

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"