MarketPulse AI: Real-Time Market Intelligence Agent

This is a submission for the Bright Data AI Web Access Hackathon What I Built MarketPulse AI is an intelligent agent that provides real-time market intelligence for investors, traders, and financial analysts. By continuously monitoring financial news, social media sentiment, and market data across multiple sources, MarketPulse AI delivers actionable insights that help users make informed investment decisions. Unlike traditional market analysis tools that rely on static or delayed data, MarketPulse AI leverages Bright Data's infrastructure to access real-time information from across the web, ensuring users have the most current data available when making critical financial decisions. Key Features: Real-Time Financial News Aggregation: Continuously monitors and extracts relevant information from major financial news sources, blogs, and market updates. Social Media Sentiment Analysis: Tracks discussions about stocks, cryptocurrencies, and market trends across Twitter, Reddit, and specialized investment forums. Market Data Integration: Pulls real-time price data, trading volume, and technical indicators for stocks, cryptocurrencies, and other financial instruments. Natural Language Insights: Converts complex market data into clear, actionable insights through conversational AI. Personalized Alerts: Notifies users of significant market movements, news, or sentiment shifts relevant to their portfolio. Live Demo Experience MarketPulse AI in action at marketpulse-ai.vercel.app GitHub Repository View the code: github.com/yourusername/marketpulse-ai Demo Video How It Works Users create a profile specifying their investment interests (stocks, cryptocurrencies, sectors) MarketPulse AI continuously monitors multiple data sources for relevant information The platform processes and analyzes the data using machine learning algorithms Users receive personalized insights through the dashboard or notification system The AI learns from user feedback to improve future recommendations How I Used Bright Data's Infrastructure MarketPulse AI relies heavily on Bright Data's MCP server to perform all four key actions: 1. Discover The agent uses Bright Data's web unlocker to discover relevant financial content across the entire web, including: Financial news sites with paywalls or anti-bot measures Investment forums with complex authentication Specialized financial data providers Social media platforms with rate-limiting // Example code using Bright Data to discover financial news const { BrightData } = require('bright-data'); const brightData = new BrightData({ auth: process.env.BRIGHT_DATA_TOKEN }); const discoverFinancialNews = async (ticker) => { const searchResults = await brightData.discoverContent({ query: `${ticker} financial news analysis`, sources: ['news', 'blogs', 'forums'], timeRange: 'past_24h' }); return searchResults; }; 2. Access MarketPulse AI leverages Bright Data's capabilities to access: Dynamic JavaScript-rendered financial dashboards Sites with sophisticated bot protection Login-protected investor forums and research portals Financial data terminals with complex UI 3. Extract The system extracts structured, real-time data at scale from: Stock price feeds and market indices Company financial statements Analyst reports and predictions Regulatory filings Social sentiment indicators // Example of extracting structured data from financial sites const extractMarketData = async (url) => { const data = await brightData.extract({ url: url, selectors: { price: '.current-price', change: '.price-change', volume: '.trading-volume', marketCap: '.market-cap' } }); return data; }; 4. Interact MarketPulse AI interacts with web interfaces just as a human would: Navigating complex financial dashboards Clicking through multi-page reports Adjusting filters and parameters on data visualizations Downloading CSV reports and data exports Performance Improvements By leveraging Bright Data's real-time web access capabilities, MarketPulse AI significantly outperforms traditional market intelligence solutions: Speed Advantages Traditional approach: Financial data is typically delayed by 15-20 minutes, with news aggregation taking hours. MarketPulse AI: Access to truly real-time data with news and sentiment processed within seconds of publication. Comprehensiveness Traditional approach: Limited to publicly accessible data or expensive subscription services. MarketPulse AI: Comprehensive coverage across paywalled, social, and specialized sources. Accuracy Traditional approach: Often relies on incomplete data and misses crucial context from diverse sources. MarketPulse AI: Combines data from hundreds of sources to provide a holistic market vi

// Example code using Bright Data to discover financial news
const { BrightData } = require('bright-data');
const brightData = new BrightData({
  auth: process.env.BRIGHT_DATA_TOKEN
});

const discoverFinancialNews = async (ticker) => {
  const searchResults = await brightData.discoverContent({
    query: `${ticker} financial news analysis`,
    sources: ['news', 'blogs', 'forums'],
    timeRange: 'past_24h'
  });

  return searchResults;
};

// Example of extracting structured data from financial sites
const extractMarketData = async (url) => {
  const data = await brightData.extract({
    url: url,
    selectors: {
      price: '.current-price',
      change: '.price-change',
      volume: '.trading-volume',
      marketCap: '.market-cap'
    }
  });

  return data;
};