Ways Of Athena

How to play Ways Of Athena

Across the market, operators delivered high double-digit gains compared with Labor Day weekend, which featured a full slate of college football games but no NFL contests. Two operators, DraftKings and Underdog each saw triple-digit growth, delivering weekly increases of 125% and 119%, respectively. Three others, Polymarket, Crypto.com and Novig, saw gains of at least 30%, led by Polymarket with a weekly increase of 46%.

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.

How to play Ways Of Athena

Kendrick sees a warning in the history of betting exchanges. In their early growth phase, there was sufficient retail liquidity for numerous market makers to profit. As that retail pool weakened, the sharper firms increasingly found themselves trading against one another.

His analogy is a poker table at which the weaker participants sustain the game. If those players disappear, the fourth-best professional at the table can suddenly become a loser because only the three strongest remain.

The US addressable market is vastly larger and customer recruitment remains strong. Marantelli says Kalshi increased its number of clients fivefold during the World Cup, while White Swan predicts that NFL prediction markets could generate between $5 billion and $7 billion of liability in a single week.

About Ways Of Athena

Rather than simply building what is requested, teams are increasingly expected to understand why something is being built and what value it should create.

As Paul Crisp, Cubeia’s head of marketing, points out: “If the objective is 10% more traffic, for example, how do we measure it?

“We need to establish a baseline, implement the change, measure it and see whether it goes up by 10%. If it only goes up by 1%, maybe we need another iteration because we haven’t fulfilled the objective.”