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.
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
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