Fish Trio

What is Fish Trio?

One interesting nugget surrounds weekend figures at Kalshi, where volume on Sunday only surpassed prior daily activity by $34 million, BofA data shows. Typically, Sunday volume for the quarter dwarfs that of College Football Saturdays due to the voracious demand for NFL offerings. BofA analyst Shaun Kelley attributes the irregularity to the possibility that Kalshi is “over indexing” on college sports.

Kelley also cited improvements at Robinhood as a possible factor for the regression at Kalshi. Just before the NFL season, Robinhood took a minority stake in Crypto.com and struck a deal to begin routing NFL contracts to OG.com, the site’s regulated prediction market platform.

A 40% weekly increase at Crypto.com combined with the attrition at Kalshi may reflect the enormity of the Robinhood deal, according to Kelley.

What is Fish Trio?

When Spain captain Rodri lifted the Fifa World Cup trophy at MetLife Stadium in New Jersey in July, a nation celebrated its team’s return to the summit of world football. Across five weeks and eight matches, Spain had proved itself the best team on the planet, overcoming its strongest rivals to claim the trophy for a second time.

As Spain celebrated the successful end of their campaign, Kambi was reflecting on a significant achievement of its own. For the sports betting technology provider, the tournament represented a major technological milestone: its first World Cup traded entirely by AI.

Across 104 matches and more than 100 million bets, AI handled every stage of the pricing lifecycle – from ingesting data and creating the offering to managing liabilities and settling bets. The platform recorded zero downtime, delivered an operator trading margin of 18% and, during the final alone, processed more than one million unique bet combinations.

About Fish Trio

Satisfaction with existing tools scored an average of 6 out of 10. Co-author Gali Hartuv, CEO and co-founder at WarriorLab described this “middling satisfaction” as “the most expensive kind”.

While VIP managers welcomed AI for prioritising their workload, the report suggested they remained cautious about delegating a final judgment to opaque automated systems. 

The report’s authors noted that VIP managers “are not asking to be replaced” but desire tools that assist by triaging and pointing out priority players, while humans maintain relationship control and make final decisions.