Club Tropicana Happy Hour

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If approved, the funds would hold baskets of the CME-traded derivatives. LeagueShares went a step further by adding a filing for 2x leveraged MLB futures funds.

“Of course there’s already a filing for daily leveraged futures baseball ETFs — which are basically the equivalent of a corked bat with eight holes drilled in the handle that’s been dipped in pine tar,” wrote Ben Johnson, head of client solutions at Morningstar, on X.

As of yet, the Securities and Exchange Commission (SEC) hasn’t approved the aforementioned NHL futures ETFs.

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Before Patrick Mahomes laced up his cleats for his 2026-2027 NFL regular-season debut, US prediction markets had already cleared a historic benchmark for the opening week of the season.

Two operators alone – Kalshi and Polymarket – topped the combined $1 billion mark in NFL trading activity over the first six days of Week 1, according to numerous measures this week. During the period, Kalshi recorded NFL volume of $983.4 million, according to DeFi Rate, earning the pole position by a large margin. Mahomes and the Kansas City Chiefs thrashed the Denver Broncos 31-10 on Monday Night Football, capping the largest week for prediction markets ever.

Even before the primetime matchup in Kansas City, it became abundantly clear that the industry would shatter previous marks for weekly activity. The AFC West showdown bolstered the already robust totals. Overall, volume for the week hit a record $15.9 billion, according to Bank of America, up 16% from a week earlier.

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The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.

“The term AI is everywhere across the world of technology, and the betting and gaming industry is just one where its impact is being felt,” Lamb says. “Taking AI beyond being a buzzword, building and deploying the systems and automation necessary to maximise its potential and deliver the right results is the challenge each of these industries face.”

For Kambi, data must be combined with the knowledge of experienced traders who can direct the technology, scrutinise its output and identify where it can add value next.