Case Study
Polyscope
Live Polymarket signal dashboard for trending markets, order-book depth, trade activity, volume leaders and real-time alerts.
Problem
Prediction market data is noisy and fast-moving. Traders and analysts needed a single view of odds, depth, trade flow and emerging signals without stitching together multiple sources manually.
My role
Built the backend and data layer with FastAPI: ingesting market data from Polymarket CLOB and Gamma APIs, exposing clean REST endpoints and structuring real-time oriented feeds for the dashboard UI.
Architecture
Technical decisions
FastAPI
Python + FastAPI gave a fast path to typed REST endpoints and async-friendly handling of market data workloads.
Signal-oriented design
Beyond raw odds and depth, the system surfaces derived signals and alerts so the dashboard communicates market structure rather than only dumping ticks.
Challenges
High-frequency updates
Market feeds change rapidly. Focused on efficient ingestion and API shapes that keep the dashboard responsive without over-fetching.
Outcome
A live Polymarket intelligence dashboard covering trending markets, order books, recent trades, volume leaders and signal alerts — deployed and publicly accessible.