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“We finally got to a point where we said, you know what, let’s drop all our other efforts right now and get these over the finish line and get them up for comment so that we can make sure that we’re current with things,” Jeremy Eberwein, chief of the board’s Technology Division, told iGB.
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.
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But the Ninth US Circuit Court of Appeals reversed that decision Thursday (September 17).
The appeals court did not rule that Baldwin or Bridge Capital owes Laos the money. Instead, it said the lower court must hear Laos’ argument that they should be responsible for awards made against the companies they allegedly controlled.
That sends the sprawling Savan Vegas dispute back to court once again, 14 years after it began.
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Marantelli identifies White Swan and Susquehanna as two firms operating at industrial scale in parlays, with Jump Trading, Mojo and DL Trading among the possible leading group. Below them are numerous smaller syndicates, some managing between $5 million and $10 million, alongside sports-specific specialists.
Enda Kendrick, chief executive of service provider Veltium, similarly says the largest UK and European sharp-betting groups have moved rapidly into US prediction markets. He believes there are also more than 100 smaller operations, ranging from individual traders to teams of around 10, interested in entering the regulated US market.
Yet the presence of professional counterparties complicates the customer-facing idea that prediction markets merely allow users to trade opinions with one another. As Kendrick puts it, two ordinary customers are not going to place $10 million or $20 million behind the Philadelphia Eagles. Markets at that scale require institutions.
