Stock Analysis
- 459 installs
- skills.volces.com
stock-analysis is an agent skill that retrieves, cleans, and analyzes stock market data including prices, fundamentals, and technical indicators.
About
stock-analysis is an agent skill that retrieves, processes, and analyzes equity market data for solo builders. It connects to financial data sources, normalizes price and fundamental information, computes common technical indicators, and returns clean structured output. Builders use it when they need reliable market data inside Claude Code, Cursor, or custom agents without writing their own scrapers or API clients. The skill handles rate limits, data cleaning, and basic analytics so you can focus on insight generation, backtesting strategies, or building financial features faster. It works for quick research questions as well as repeatable automated workflows.
- Fetches and parses stock price history, fundamentals, and market data via multiple providers
- Runs technical indicator calculations and basic statistical analysis
- Supports both one-off queries and repeatable agent workflows
- Outputs structured JSON or CSV ready for visualization or further LLM processing
- 424 installs across indie builder projects
Stock Analysis by the numbers
- 459 all-time installs (skills.sh)
- +2 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #470 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 459 |
|---|---|
| Repository | skills.volces.com ↗ |
What it does
Pull, clean, and analyze real-time or historical stock data for research, backtesting, or building financial tools.
Who is it for?
Best when you are exploring financial products, building stock screeners, creating research agents, or running quick market analysis inside your coding agent.
Skip if: Production trading systems that require sub-millisecond latency, certified data feeds, or advanced quantitative finance models beyond basic technical analysis.
When should I use this skill?
When you need to retrieve, normalize, or analyze stock market data as part of research, prototyping, or building financial features.
What you get
You receive clean structured market data and computed metrics that can be immediately used for research, visualization, or handed off to nextSkills such as report generation or strategy backtesting.
- Structured JSON or CSV containing price history, fundamentals, and calculated indicators
- Analysis summary suitable for further agent processing
By the numbers
- 424 installs
- Supports multiple data providers
- Structured JSON and CSV output formats
Files
Stock Analysis
Comprehensive stock and company analysis using with real-time market data.
Core Capabilities
- Company Research: Get company profiles, business info, executive teams
- Technical Analysis: Access price charts, technical indicators, outlooks
- Fundamental Analysis: Review insights, valuations, analyst ratings
- Insider Activity: Track insider holdings and transactions
- Regulatory Filings: Access SEC filing history and documents
- Multi-Stock Comparison: Compare multiple stocks with chart data
Available APIs
Company Information
Yahoo/get_stock_profile- Company profile (business, industry, executives, contact)Yahoo/get_stock_insights- Technical indicators, valuation, ratings, research reports
Trading & Market Data
Yahoo/get_stock_chart- Historical price data with customizable timeframes
Ownership & Compliance
Yahoo/get_stock_holders- Insider holdings and transactionsYahoo/get_stock_sec_filing- SEC filing history (10-K, 10-Q, 8-K, etc.)
Common Workflows
1. Company Overview → Deep Dive
User: "Tell me about AAPL"
→ Yahoo/get_stock_profile (business summary, industry, employees)
→ Yahoo/get_stock_insights (technical outlook, valuation, ratings)
→ Yahoo/get_stock_chart (recent price performance)2. Technical Analysis → Fundamental Check
User: "Is TSLA a good buy?"
→ Yahoo/get_stock_chart (price trends, support/resistance)
→ Yahoo/get_stock_insights (technical outlook, target price, rating)
→ Yahoo/get_stock_profile (verify business fundamentals)3. Insider Activity Analysis
User: "Show me insider trading for NVDA"
→ Yahoo/get_stock_holders (insider transactions)
→ Yahoo/get_stock_profile (context about executives)
→ Yahoo/get_stock_insights (check if aligned with outlook)4. Due Diligence Package
User: "Full analysis of MSFT"
→ Yahoo/get_stock_profile (company background)
→ Yahoo/get_stock_insights (analyst ratings, valuation)
→ Yahoo/get_stock_chart (historical performance)
→ Yahoo/get_stock_holders (insider sentiment)
→ Yahoo/get_stock_sec_filing (recent regulatory filings)5. Multi-Stock Comparison
User: "Compare AAPL vs MSFT vs GOOGL"
→ Yahoo/get_stock_chart (with comparisons parameter)
→ Yahoo/get_stock_insights (for each symbol)
→ Compare metrics side-by-side6. Sector Research
User: "Analyze tech stocks: AAPL, NVDA, AMD"
→ Yahoo/get_stock_profile (each company's focus area)
→ Yahoo/get_stock_insights (sector comparison scores)
→ Yahoo/get_stock_chart (relative performance)Key Parameters
Common Parameters
symbol: Stock ticker symbol (e.g., "AAPL", "TSLA")region: Market region (US, GB, JP, etc.) - default: USlang: Response language (en-US, zh-Hant-HK, etc.) - default: en-US
Chart-Specific
interval: 1m, 5m, 15m, 30m, 1h, 1d, 1wk, 1morange: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, maxcomparisons: Compare with other symbols (e.g., "^GSPC,MSFT")events: Include dividends, splits, earnings (div, split, earn)
Key Data Points
Profile Data
- Business summary and industry classification
- Employee count and executive team
- Contact information and website
- Sector and industry metrics
Insights Data
- Technical outlook: Short/intermediate/long-term signals
- Valuation: Relative value vs sector/market
- Key technicals: Support, resistance, stop-loss levels
- Ratings: Analyst recommendations and target prices
- Company metrics: Innovation, hiring, sustainability scores
- Research reports: Analyst reports and summaries
- Significant events: Recent developments
Chart Data
- OHLC (Open, High, Low, Close) prices
- Volume data
- Adjusted close prices
- 52-week high/low
- Current trading period info
Holder Data
- Insider names and positions
- Transaction dates and descriptions
- Holdings quantity and value
- Relationship to company
Filing Data
- Filing type (10-K, 10-Q, 8-K, etc.)
- Filing date and title
- EDGAR URLs for full documents
- Exhibits and related documents
When to Use This Skill
ALWAYS invoke APIs when users mention:
- Stock symbols: "AAPL", "TSLA", "$MSFT", "stock price", "stock info"
- Analysis requests: "analyze", "research", "look into", "tell me about [STOCK]"
- Comparison: "compare", "vs", "versus", "which is better"
- Price queries: "price", "chart", "performance", "trend", "up or down"
- Insider activity: "insider", "holdings", "who owns", "buying/selling"
- Filings: "SEC filing", "10-K", "10-Q", "earnings report", "financial statements"
- Company info: "what does [company] do", "who runs", "about [company]"
Required API combinations:
- General stock questions → MUST call
Yahoo/get_stock_profile+Yahoo/get_stock_insights - Price/chart mentions → MUST include
Yahoo/get_stock_chart - Investment decisions → MUST call all three: chart + insights + profile
- Multiple stocks → MUST use comparison parameters in chart API
- Insider questions → MUST call
Yahoo/get_stock_holders+ profile for context
Best Practices
1. Start broad, then drill down - Profile first, then specific data 2. Context matters - Combine profile with technical data for better insights 3. Use comparisons - Chart API supports multi-symbol comparison 4. Regional stocks - Set region/lang for non-US markets 5. Time relevance - Adjust chart range based on user's timeframe 6. Insider context - Combine holder data with profile for complete picture
API Reference
Full parameter specs and response schemas:
- yahoo-api.md
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Use instead of writing custom financial API clients or scraping websites manually.
FAQ
Who is stock-analysis for?
stock-analysis is for developers and developers who want to incorporate real stock market data and analysis into their AI coding workflows without managing low-level data pipelines.
When should I use stock-analysis?
Use it when you need to pull current or historical stock prices for research, when building a prototype dashboard that displays market data, when backtesting a simple trading idea, when creating an automated research agent, or when you want structured fundamentals for further LLM
Is stock-analysis safe to install?
Users should review the Security Audits panel on this page before installing. The skill makes network calls to financial data providers and may require API keys for full functionality.