Lady Joker

About Lady Joker

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.

The pure-play prediction market-operators, Polymarket and Kalshi, emerged from Week 1 as the clear winners. On one hand, Kalshi’s market share lead narrowed over its competitors, falling to 82% for the week ended 13 September, down from 86% a week earlier.

What is Lady Joker?

A major advantage for traditional sportsbook operators is their ability to aggressively fund customer acquisition and retention bonuses. As EKG points out, prediction markets have “less ability to be generous with bonuses” because users trade against one another rather than against the house.

That creates a stark contrast during peak football season when traditional sportsbooks spend heavily on promotions. Offers ranging from $350 to $365 from major operators make the $25 to $50 promotional matches typically seen on prediction markets appear modest by comparison.

“That said, channel checks indicate prediction markets are spending heavily on digital marketing, including app stores and pay-per-click advertising, which could make our forecast look conservative by the end of the season,” EKG concluded.

What is Lady Joker?

The text also prohibits bets placed using credit cards, the use of predictive models to identify moments of greater vulnerability, and platform design mechanisms that hinder a conscious decision to stop betting, leave the service, or activate limits and blocks. Operators must maintain permanent alerts about compulsive gambling, indebtedness and asset loss, and adopt verifiable protocols for identifying risky behaviour.  

The proposal establishes criteria for classifying products according to their potential for harm. Among the characteristics considered are instantaneous or short-lived results, continuous repetition at short intervals, use of random mechanisms to determine the outcome, intermittent rewards, near-miss incentives, incentives to recover losses and features that make it difficult to stop betting or induce successive, impulsive, or increasingly valuable bets. 

Products offered to the public must undergo prior evaluation by a competent body of the Federal Executive Branch, to be defined in regulations. Products classified as high-risk will be subject to specific harm reduction measures. Products with excessive risk may not be offered. This category includes products with outcomes determined by random mechanisms, continuous cycles and variable rewards, such as roulette, slot machines, collision games and simulated virtual sports.