Compare items across multiple dimensions with a radar chart for skill profiles, product comparisons, and competitive analysis.
Functional Source , Version 1.1, MIT Future
133,997 tools. Last updated 2026-05-24 23:54
"a-guide-for-performing-chart-analysis-on-stocks" matching MCP tools:
- Identify top-performing stocks in the Spanish stock exchange over a specified period to inform investment decisions.MIT
- Retrieve industry classification data for specific stocks or all A-share stocks on a given date to analyze market sectors and company categorization.MIT
- Retrieve industry classification data for specific stocks or all A-share stocks on a given date to analyze market sectors and investment opportunities.MIT
- Retrieve all Google Maps reviews authored by a specific Local Guide using their contributor ID. Analyze reviewer reputation, detect fake or bot reviews, and build trust profiles.MIT
- Generate chart images from Chart.js configuration. Visualize data as bar, line, pie, or scatter charts for reports and documentation.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.Last updatedMIT
- AlicenseAqualityCmaintenanceAn MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities.Last updated33MIT
Matching MCP Connectors
ship-on-friday MCP — wraps StupidAPIs (requires X-API-Key)
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
- Identify high-confidence stock picks by finding stocks that appear in multiple screeners simultaneously. Supports intersection (stocks in all) and union (stocks in any) modes.MIT
- Search across multiple screeners to find stocks with specific chart patterns like head and shoulders or cup and handle. Returns matches with pattern details.MIT
- Retrieve metadata and structure of sample datasets (iris, tips, stocks, gapminder) to support chart exploration without custom data.
- Visualize a single percentage value as a liquid-filled chart for metrics like occupancy rates or project completion.TypeScriptMIT
- Retrieve top-performing domains in a specific market category with SEO metrics like traffic, visibility, keywords, backlinks, and SDR for competitive landscape analysis. Filter and sort results to identify key competitors.MIT
- Visualize cumulative effects of sequential positive or negative values to show how initial values change through intermediate steps to final results, useful for financial analysis and budget tracking.TypeScriptMIT
- Retrieve top-ranked financial entities within a sector: ETFs, mutual funds, largest companies by market cap, fastest-growing by revenue, and top-performing stocks.MIT
- Extract all URLs from a domain with keyword counts to analyze page structure, identify top-performing content, and assess SEO performance distribution.MIT
- Create boxplot charts to visualize statistical data distributions across categories. Compare medians, quartiles, and outliers for data analysis and insights.TypeScriptMIT
- Identify top-performing stocks by trading volume or trade count to monitor market activity and inform investment decisions.MIT
- Validate user-created chart code by checking configuration against data metadata and optionally open the chart in PyCafe for preview.
- Add a slide with a title and automatically generated chart to PowerPoint presentations. The tool analyzes data structure to select appropriate chart types for clear data visualization.MIT
- Retrieve cryptocurrency chart data by specifying a coin identifier and time period to analyze price trends and historical performance.MIT
- Retrieve endpoints for social media analytics, sentiment analysis, influencer tracking, and trend detection across crypto, stocks, and NFTs. Analyze engagement metrics, track virality, and monitor real-time social sentiment with comprehensive indicators.MIT