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Finance/ Case study

PolyHuntr

Real-time analytics for prediction markets: who is trading well, and why

Built with

Elixir / Phoenix / TypeScript / PostgreSQL

Live site

Inside the project

01 / 01

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

PolyHuntr1 / 1

PolyHuntr live homepage for Polymarket analytics

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

The brief

The problem

Prediction markets move around the clock across thousands of markets, and every trade is public. The information is all there, but nobody can watch it all, tell skill from luck in a wallet's history, or keep up as prices change.

Our approach

We built a real-time analytics platform on Elixir/Phoenix. It streams market and trade activity continuously, scores public wallets on risk-adjusted performance, and publishes a daily ranking. Users can follow wallets, test ideas against history before acting, and ask for a plain-language analysis of any wallet or market.

Features

What it does

  1. 01

    Real-time market and wallet streaming

  2. 02

    Daily wallet ranking

  3. 03

    Wallet following with risk limits

  4. 04

    Back-testing and portfolio simulation

  5. 05

    On-demand AI analysis

  6. 06

    Alerts to chat apps

Results

What happened

  • Live at polyhuntr.com

  • Market and trade activity streamed in real time

  • Daily ranking of public wallets by risk-adjusted performance

  • Back-testing against history before any capital is involved

  • On-demand AI analysis of any wallet or market

State
Live
Data
Real-time
Coverage
Thousands of markets
Analysis
On demand

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