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FinanceCase study

PolyHuntr

Prediction Market Analysis Platform

Project Focus
PythonTypeScriptAI/MLMarket APIsPostgreSQLRedisWebSocketNext.js
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PolyHuntr live homepage for Polymarket copy trading analytics

Live capture from polyhuntr.com showing the public product surface.

Real-time market streaming
Data Feed
Dozens of aggregated feeds
News Sources
Proprietary probability model
Analysis
Near-instant news-to-alert
Latency
01

Challenge

Prediction markets react to news within minutes, so manual monitoring misses the move. Catching an edge means ingesting live market data, aggregating news from many sources, reading sentiment with natural language understanding, and modeling probability to spot deviations as they open.

02

Solution

PolyHuntr holds live connections to prediction markets for price feeds and pulls news from dozens of sources. A proprietary ML pipeline reads the sentiment in each story and assesses what it implies for probability. When a market price drifts far enough from that assessment, the system fires alerts across multiple channels.

03

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

System Architecture

Real-time prediction market analysis with proprietary edge detection and multi-channel alerts

frontend
backend
database
service
ai
cache
PricesArticlesMarketsEdgeLog
Next.js Dashboard
Real-time UI
Market Scanner
Real-time feeds
News Aggregator
Multi-source feeds
Edge Detector
Proprietary analysis
Alert Engine
Multi-channel
PostgreSQL
History & positions
Redis
Real-time state

Real-time prediction market analysis with proprietary edge detection and multi-channel alerts

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