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tdnupe3

Coin Railz MCP Server

by tdnupe3

get_stock_sentiment

Analyze stock market sentiment using AI by providing a ticker symbol to receive sentiment ratings, confidence scores, key drivers, and trading recommendations.

Instructions

Get AI-powered stock market sentiment analysis.

Args: symbol: Stock ticker symbol (e.g., AAPL, TSLA, MSFT, NVDA) include_news: Include recent news and headlines analysis include_technicals: Include technical analysis and chart patterns include_institutional: Include institutional and insider activity

Returns: Sentiment analysis with overall rating, confidence score, key drivers, and trading recommendation.

Price: $0.40

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
include_newsNo
include_technicalsNo
include_institutionalNo

Implementation Reference

  • The implementation of the get_stock_sentiment MCP tool, which includes the tool registration decorator, parameter definition, payload construction, service call, and response serialization.
    @mcp.tool()
    async def get_stock_sentiment(
        symbol: str,
        include_news: bool = True,
        include_technicals: bool = True,
        include_institutional: bool = True
    ) -> str:
        """
        Get AI-powered stock market sentiment analysis.
        
        Args:
            symbol: Stock ticker symbol (e.g., AAPL, TSLA, MSFT, NVDA)
            include_news: Include recent news and headlines analysis
            include_technicals: Include technical analysis and chart patterns
            include_institutional: Include institutional and insider activity
        
        Returns:
            Sentiment analysis with overall rating, confidence score, key drivers, and trading recommendation.
        
        Price: $0.40
        """
        payload = {
            "symbol": symbol.upper(),
            "includeNews": include_news,
            "includeTechnicals": include_technicals,
            "includeInstitutional": include_institutional
        }
        result = await call_coinrailz_service("stock-sentiment", payload)
        return json.dumps(result, indent=2)

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