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Strip away the language of contracts, order books and event trading and Bernard Marantelli has a blunt description of what is happening inside US sports prediction markets. “Kalshi is a sportsbook that’s just not allowed to have an in-house risk team,” says the founder of White Swan Data, one of the specialist firms now making markets on prediction exchanges.
The difference is all about the risk function. A sportsbook employs traders to price bets and manage its exposure. An exchange provides an API through which firms compete to quote prices and supply liquidity.
“Here’s an API. Bernard and 88 other people can market-make all these request-for-quotes (RFQs),” Marantelli says. “Some people might come in and just do esports because they’re esports experts. Others do everything. Some focus on same-game parlays. But it’s a sportsbook.”
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The bulk of the work revolved around compiling and codifying the technical information in one place, Eberwein said. There were some existing Technical Standards, but other requirements lived in the state’s Minimum Internal Control Standards, which are a broad mix of technical and procedural requirements.
The goal is to make it easier for licencees to find technical information in one definitive source rather searching across multiple libraries. Most of the explanatory notes in the revisions refer to adaptations from MICS and other sources. This process has been years in the making, Eberwein said, with work stopping and starting at various points.
“We had various iterations of the drafts internally probably going back at least a decade, and just never made it to the finish line for various reasons,” he explained.
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