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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.
{"answer":"全方位美股分析,涵盖基本面(财务指标、商业品质、估值)、技术面(指标、图表形态、支撑阻力)、股票对比及投资报告生成。适用于用户请求分析美股代码(如“分析AAPL”、“对比TSLA与NVDA”、“出具微软报告”)、评估财务指标、技术图表分析或提供美股投资建议。"}
veeramanikandanr48
数据分析 clawhub v0.1.1 1 版本 96395.2 Key: 无需
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概述

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"

版本历史

共 1 个版本

  • v0.1.1 当前
    2026-03-27 23:18 安全 安全

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