Prediction Market Movers

Prediction News

Each week, Chris Gerlacher talks to industry insiders, financial analysts and legal experts on all of the latest developments in prediction markets.

  1. 1D AGO

    Sports Betting vs Prediction Markets w/ Isaac Rose-Berman | Prediction Market Movers

    In this episode of Prediction Market Movers, Chris Gerlacher sits down with Isaac Rose-Berman of the American Institute for Boys and Men to break down the real-world impact of sports betting and prediction markets. From beating sportsbooks to market making on exchanges like Kalshi, Isaac shares what actually separates profitable bettors from the rest—and why prediction markets are a completely different game. The conversation dives deep into: The transition from sports betting to market making How prediction market structure impacts profitability The rise of gambling among younger audiences Policy concerns around advertising, iGaming, and regulation The blurred line between investing and gambling Why most traders lose—and what people misunderstand about the industry  👉 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   00:00 - Intro 1:00 - Pivoting from sports betting to market making 4:20 - Moving into policy 5:50 - What was missing in sports? 7:15 - Why AIBM? 8:35 - Misconceptions of AIBM 9:35 - Policy priorities at AIBM 11:35 - Confronting Kalshi ads 13:30 - Educating the youth on Prediction Markets 16:30 - The impact of Kalshi losing sports contracts 19:45 - Reception from the youth on PMs and market making 25:00 - What is Finance Land missing? 30:20 - Navigating cannibalism rates 32:00 - Difference in customer base with PMs 34:00 - The importance of keeping sports #PredictionMarkets #SportsBetting #Kalshi #GamblingPolicy #TradingStrategy #Fintech #BettingTips #MarketMaking #PredictionMarketMovers

    36 min
  2. APR 1

    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

    23 min
  3. MAR 11

    From Manifold to MNX: Stephen Grugett’s Big Bet on AI Markets | Prediction Market Movers

    On this episode of Prediction Market Movers, Chris Gerlacher speaks with Stephen Grugett, founder of MNX and co-founder of Manifold Markets, about the evolution from play-money forecasting platforms to real-money AI-focused derivatives markets. MNX is building infrastructure for trading AI-native markets — including company valuation contracts, benchmark performance markets, and perpetual futures tied to the artificial intelligence economy. In this conversation, Stephen Grugett explains: • Why Manifold originally chose play-money markets over crypto • The limitations of traditional yes/no prediction markets • How AI company valuation markets could function • What perpetual futures (“perps”) are and why they matter • The mechanics behind synthetic derivatives and open interest • Infrastructure decisions, including Ethereum Layer 2 deployment • Regulatory considerations for offshore vs U.S. launch • How MNX differs from platforms like Kalshi and Polymarket   👉 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 #PredictionMarkets #AI #Crypto #MNX #Manifold #PerpetualFutures #OpenAI #Anthropic #Fintech #Web3 #Derivatives #ArtificialIntelligence #MarketInnovation

    26 min
  4. FEB 26

    Trading Trump's words, with Tyrael, a mention market trader | Prediction Market Movers

    In this episode of Prediction Market Movers, Chris Gerlacher sits down with full-time mention market trader Tyrael, who has found much success in mention market trading — including a very profitable night during the State of the Union address. Tyrael breaks down exactly how he approaches volatile mention markets tied to figures like Donald Trump, JD Vance, Gavin Newsom, and Zohran Mamdani — and why speech-based contracts can be some of the most mispriced markets in the prediction space. Tyrael explains how he combines historical transcript frequency data with real-time geopolitical developments to price words before they’re spoken. He walks through the difference between scripted language and “weave” improvisation, how that affects probabilities, and why certain words like “Sleepy Joe” were clear fades during a formal address. The conversation also dives into: • How he handicaps State of the Union mention markets • The ethics of insider trading in prediction markets • Pre-recorded interview leak risk and adverse selection • “Rule cucks” and controversial resolutions on Kalshi and Polymarket • Why some mention markets (late night shows, TV tapings) may not belong on exchanges at all   Tyrael also shares how he transitioned into trading full-time, lessons from early losses (including a conviction bet on Josh Shapiro as VP), and how he balances high-intensity live event trading with family life. 00:00 - Intro 1:00 - Winning big during the State of the Union 3:00 - Trading on politics 4:30- On mentions markets 7:00 - Why mention markets? 9:30 - How long did it take to become a job? 12:00 - Balancing being a dad and a trader 14:50 - Managing information leaks 17:00 - Insider trading vs. sharp trading 19:50 - Navigating “pump schemes” 24:00 - improvements in market resolutions 27:00 - Which mention markets have value? For more for info on Tyrael, check him out on X - @ØxTyrael #PredictionMarkets #Kalshi #Polymarket #PoliticalTrading #EventContracts #ElectionMarkets #StateOfTheUnion #DonaldTrump #Midterms #CFTC #CryptoPredictionMarkets #PredictionMarketMovers   👉 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

    29 min
  5. FEB 11

    Kalshi Trader Gaeten Dugas on Culture Markets, Politics & Insider Trading | Prediction Market Movers

    On this episode of Prediction Market Movers, Chris Gerlach is joined by Gaeten Dugas, a top-100 Kalshi trader, for a deep dive into how experienced traders approach culture markets, political prediction markets, and insider trading risk. Gaeten explains why his trading starts with genuine interest, from politics and government shutdowns to music, movies, and pop culture markets like Spotify charts, Rotten Tomatoes, Taylor Swift, and Super Bowl halftime props. He breaks down how prediction markets help remove emotion from political analysis and why “skin in the game” produces better forecasts than traditional punditry. The conversation also tackles one of the biggest issues facing prediction markets today: insider trading and data leaks. Gaeten shares firsthand experiences with suspicious Spotify market movements, explains how traders protect themselves from leaked data, and reacts to Kalshi’s newly announced insider trading safeguards and integrity tools. 00:00 - Intro 1:00 - Getting into culture markets 3:00- Approach to trading 4:00 - Will PM traders get mainstream coverage 6:20 - What markets he is monitoring 9:40 - Requesting markets 10:30 Guarding insider trading 12:40 - Deciphering insider trading 14:00 - Markets he avoids 15:30 - When the price is right 17:00 Feeling secure with markets 20:30 How should Kalshi handle insider trading 21:20 - Using polymarket 22:10 - on Crypto 23:15 - Balancing the markets   #PredictionMarkets #Kalshi #Polymarket #InsiderTrading #CultureMarkets #PoliticalPrediction #ElectionMarkets #PredictionNews #EventContracts #MarketIntegrity #SpotifyCharts #TaylorSwiftMarkets #CFTC #TradingPsychology

    26 min

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Each week, Chris Gerlacher talks to industry insiders, financial analysts and legal experts on all of the latest developments in prediction markets.

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