Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
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.
skill openclawclawhub Free
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.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/financial-metrics.md, references/fundamental-analysis.md, references/report-template.md, references/technical-analysis.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.1
Provenance
- Publisher
- Veeramanikandanr48
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: Current stock price and trading data (price, volume, 52-week range) Financial statements (income statement, balance sheet, cash flow) Key metrics (P/E, EPS, revenue, margins, debt ratios) Analyst ratings and price targets Recent news and developments Peer/competitor data (for comparisons) 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: Basic Stock Info - Quick overview with key metrics Fundamental Analysis - Deep dive into business, financials, valuation Technical Analysis - Chart patterns, indicators, trend analysis Comprehensive Report - Complete analysis combining all approaches
1. Basic Stock Information
When to Use: User asks for quick overview or basic info Steps: Search for current stock data (price, volume, market cap) Gather key metrics (P/E, EPS, revenue growth, margins) Get 52-week range and year-to-date performance Find recent news or major developments 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: Gather comprehensive financial data: Revenue, earnings, cash flow (3-5 year trends) Balance sheet metrics (debt, cash, working capital) Profitability metrics (margins, ROE, ROIC) Read references/fundamental-analysis.md for analytical framework Read references/financial-metrics.md for metric definitions and calculations Analyze business quality: Competitive advantages Management track record Industry position 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 Identify risks: Company-specific risks Market/macro risks Red flags from financial data 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: 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) Read references/technical-analysis.md for indicator definitions and patterns Identify trend: Uptrend, downtrend, or sideways Strength of trend Locate support and resistance levels: Recent highs and lows Moving average levels Round numbers Analyze indicators: RSI: Overbought (>70) or oversold (<30) MACD: Crossovers and divergences Volume: Confirmation or divergence Bollinger Bands: Squeeze or expansion Identify chart patterns: Reversal patterns (head and shoulders, double top/bottom) Continuation patterns (flags, triangles) 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: Perform data gathering (as in Basic Info) Execute fundamental analysis (follow workflow above) Execute technical analysis (follow workflow above) Read references/report-template.md for complete report structure Synthesize findings: Integrate fundamental and technical insights Develop bull and bear cases Assess risk/reward Generate recommendation: Buy/Hold/Sell rating Target price with timeframe Conviction level Entry strategy 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: Gather data for all stocks: Follow data gathering steps for each ticker Ensure comparable timeframes Read references/fundamental-analysis.md and references/financial-metrics.md 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 Identify relative strengths: Where each company excels Quantified advantages Technical comparison: Relative strength Momentum comparison Which is in better technical position 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"
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs
- SKILL.md
- references/financial-metrics.md
- references/fundamental-analysis.md
- references/report-template.md
- references/technical-analysis.md