Prediction Market Intelligence
Real-time market analysis powered by AI, using Polymarket data
PolyPulse analyzes prediction market sentiment, identifies emerging trends, and generates actionable recommendations based on crowd intelligence.
How It Works
1. Data Collection
We connect to Polymarket's API and fetch real-time prediction market data, including odds, volumes, and trading activity across multiple prediction categories.
2. AI Analysis
Our backend uses Groq's LLM (llama-3.3-70b) to perform deep analysis of market sentiment, identify patterns, assess risk indicators, and evaluate asset outlook based on crowd signals.
3. Recommendations
The LLM generates AI-powered stock recommendations with detailed reasoning, expected outperformance levels, and sector analysis based on the market signals it detects.
Technology Stack
Backend
- • Python Flask API Server
- • Polymarket REST API Integration
- • Groq LLM (llama-3.3-70b)
- • CORS Enabled for Security
Frontend
- • Next.js 16 with React 19
- • TypeScript for Type Safety
- • Recharts for Data Visualization
- • Responsive Tailwind Design
Dashboard Features
→ Market Sentiment Analysis
Real-time sentiment gauge and confidence metrics
→ Market Regime Detection
Identify bullish, bearish, or ranging market conditions
→ Risk Assessment
Comprehensive risk indicators and stress signals
→ Stock Recommendations
AI-generated predictions with detailed analysis