sector
(string, optional): Stock sector for enhanced context
How to use it
sector is exposed by the Trading MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the sector tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
FULL TRADING MCP LISTINGOther tools in Trading MCP (31)
(number, default: 90): Analysis period in days
Monitors insider transactions and analyzes sentiment patterns. Returns transaction history with sentiment analysis and confidence scores.
Combines news sentiment analysis, market impact assessment, and sector context analysis. Returns analyzed articles with sentiment scores and market predictions.
Requires both Reddit and OpenAI APIs
Calculates a comprehensive financial health score (0-100) based on profitability, liquidity, leverage, efficiency, and growth metrics with customizable weightings.
(number, default: 100): Maximum comments if including comments
Compares valuation metrics across multiple stocks to identify relative value opportunities. Perfect for peer analysis and sector comparisons.
All-in-one stock analysis combining fundamental metrics, financial health scoring, insider analysis, options sentiment, news analysis, and social sentiment when configured.
(number, default: 7): Days to look back for news
Identifies stocks gaining attention across Reddit investing communities. Returns trending tickers with mention frequency and engagement metrics.
(object): Finviz format filters. Use "f" for basic filters, "o" for ordering. Example: {"f": "caplarge,fapeprofitable,tapatternchanneldown", "o": "marketcap"}
Retrieves comprehensive financial metrics including P/E ratios, PEG, ROE, debt ratios, growth rates, and profitability margins.
Retrieves put/call ratio data from Barchart to assess options market sentiment. Returns ratios by expiration with sentiment analysis.
(boolean, default: false): Include comments from specific post
(boolean, default: true): Include sentiment analysis
(number, default: 50): Maximum results to return
(number, default: 10): Maximum articles to analyze
(number, default: 50): Posts to use for sentiment analysis
(array, optional): Specific metrics to retrieve (returns all if not specified)
(number, default: 10000): Minimum transaction value threshold
(array, optional): Specific headlines to analyze
(string, optional): Post ID for comment retrieval
(default: 0.3), liquidity (default: 0.2), leverage (default: 0.2), efficiency (default: 0.15), growth (default: 0.15)
Advanced stock screening using Finviz filters with support for technical patterns, fundamental criteria, and multi-parameter filtering. Returns stocks matching specific criteria with key metrics.
(string, default: 'hot'): Sort order ('relevance', 'hot', 'top', 'new')
(array, default: ['wallstreetbets', 'stocks']): Subreddits to analyze
(string, required): Stock ticker symbol
(array, required): Stock ticker symbols to compare
(string, default: 'week'): Time period ('hour', 'day', 'week', 'month', 'year')
(array, optional): Filter by transaction types
(object, optional): Custom weights for health factors