Inside Prediction Market Data Engineering & Market Matching w/ Shay Patel | Prediction Market Movers

In this episode of Prediction Market Movers, Chris Gerlacher sits down with Shay Patel to break down how Delphi Markets is building the data infrastructure layer for prediction markets. While most of the industry focuses on exchanges, this conversation dives into what happens behind the scenes — how fragmented APIs, messy data, and cross-exchange inefficiencies are creating opportunities for traders, funds, and institutions. Shay explains how Delphi Markets aggregates and standardizes data across multiple platforms, enabling smarter trading, better forecasting, and entirely new use cases for prediction market data. What You’ll Learn: • How Delphi Markets built a unified API across multiple exchanges • Cross-exchange market matching and resolution risk • Smart order routing to get the best price across platforms • Wallet analytics and detecting suspicious/insider activity • The role of RFQ data and parlay pricing insights • Why AI trading bots are overhyped in prediction markets • The long-term outlook for prediction markets heading into 2028 00:00 - Intro 1:00 - How Shay got involved in Delphi Markets 2:50 - Picking prediction markets 4:15 - On the lack of infrastructure 5:25 - What is Delphi Markets? 6:30- Creating a unified API 7:30 - Resolution risks 8:00 - Explaining market matching and RFQ systems 9:20 - The impact of wallet analytics 10:30 - Detecting suspicious trades 13:30 - Smart order routing 17:00 - Is AI trading good? 18:15 - Prediction Markets depend on 2028 election #PredictionMarkets #DelphiMarkets #DataInfrastructure #EventContracts #PredictionMarketMovers #Polymarket #Kalshi #QuantTrading #MarketData #SportsTrading #AITrading #forecasting 👉 Subscribe to Prediction Market Movers for weekly conversations with traders, legal experts, entertainers and industry insiders shaping the future of prediction markets. For more information on the prediction markets visit www.prediction news.com