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Analyst: On-chain prediction market transaction fees may be underestimated, Kalshi likely earned $110 million in the past 30 days
Summary: According to encrypted analyst dash on X platform, in response to Parity's previous release of prediction market revenue rankings, Kalshi's data is likely accurate. Based on its fee structure and public taker transaction calculations, its fees amount to approximately $118 million. If trading through Robinhood, estimating 1% of the nominal amount is more accurate, with ...
According to encrypted analyst dash on X platform, in response to Parity's previous release of prediction market revenue rankings, Kalshi's data is likely accurate. Based on its fee structure and public taker transaction calculations, its fees amount to approximately $118 million. If trading through Robinhood, estimating 1% of the nominal amount is more accurate, with Kalshi's nominal trading volume in the past 30 days at $11 billion.
Furthermore, there is a situation where transaction fees in on-chain prediction markets are underestimated. Currently, platforms like DefiLlama mainly calculate fees in USD or stablecoins, ignoring fees priced in shares. After factoring in these fees, the actual fees for platforms like Polymarket, predict.fun, and Limitless will be higher, with Predict.fun approximately 40% higher and Polymarket approximately 80% higher.
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Link: Analyst: On-chain prediction market transaction fees may be underestimated, Kalshi likely earned $110 million in the past 30 days [Copy]
