Analyzes real-time stock sentiment and retail investor mood using Grok's native X data integration.
This skill leverages Grok's direct access to real-time Twitter/X data to provide deep financial sentiment analysis for any stock ticker. It allows users to track retail investor mood, identify market-moving catalysts, and detect unusual social media activity that often precedes price action. By converting social chatter into structured JSON data—including sentiment scores, risk factors, and influencer stances—it bridges the gap between social trends and actionable financial insights within the Claude environment, making it an essential tool for traders and financial analysts.
主要功能
01Detection of unusual activity, volume spikes, and high-influence 'whale' mentions.
02Multi-stock comparison and sector-wide sentiment mapping.
03Comprehensive earnings reaction analysis and post-earnings social mood tracking.
04Structured JSON outputs for seamless integration with financial dashboards and price data.
05Real-time sentiment scoring from X/Twitter via Grok API integration.
060 GitHub stars
使用场景
01Identifying divergences between stock price action and social media momentum to find trading signals.
02Monitoring high-influence financial handles for market-moving opinions and options flow.
03Gauging retail investor sentiment during earnings calls or major product launches.
