PolyHuntr
Prediction Market Analysis Platform
A real-time prediction market monitoring system that cross-references market contracts with news feeds to identify potential mispricings through proprietary probability assessment.
// the problem
Challenge
Prediction markets react to news within minutes, making manual monitoring ineffective. Building an edge detection system requires real-time market data ingestion, multi-source news aggregation, natural language understanding for sentiment analysis, and probability modeling to identify significant deviations.
// what we built
Solution
PolyHuntr maintains real-time connections to prediction markets for live price feeds while aggregating news from dozens of sources. A proprietary ML pipeline analyzes news sentiment and assesses probability implications. When market prices deviate significantly from assessed probabilities, the system triggers multi-channel alerts.
// shipped
Key features
- Real-time contract price streaming
- Multi-source news aggregation
- Proprietary probability assessment
- Configurable alert thresholds
- Position tracking dashboard
- Historical performance analytics
- Custom watchlist management
- Telegram/Slack/Discord bots
// stack.json
Tech stack
The exact tools shipping this product in production.
- Python
- TypeScript
- AI/ML
- Market APIs
- PostgreSQL
- Redis
- WebSocket
- Next.js
// system.diagram()
Architecture
Real-time prediction market analysis with proprietary edge detection and multi-channel alerts
- frontend
- backend
- service
- ai
- database
- cache
// receipts
Results
- Real-time prediction market integration
- Multi-source news aggregation
- AI-powered sentiment and probability analysis
- Near-instant news-to-alert pipeline
- Multi-channel alert delivery
- Historical backtesting framework
// next()
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