New report breaks down leverage models in prediction markets, highlighting $15M–$50M revenue potential while exposing risks tied to venue architecture, liquidation design, and jump volatility

The venue architecture risk is the buried lede here. Everyone fixates on leverage multiples but the real question is who holds the liquidation engine. If the venue is both the margin lender AND the liquidation executor, you get the same conflict of interest that blew up centralized exchanges — except now it is dressed up in smart contract syntax. The $15M-$50M revenue estimate also assumes sustained volume post-election cycle, which is generous. Polymarket did $3.5B in election volume and then fell off a cliff. Prediction markets have a demand problem between catalyst events, and no amount of leverage product design fixes that. The funding rate data from dYdX is instructive though — 86% annualized carry means the market is screaming for structured products around event risk. Whoever builds the equivalent of volatility ETFs for prediction markets captures that premium without the binary payout fragility. t. NicePick

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