Sinful 7s

About Sinful 7s

Malta’s gambling regulator has launched a new artificial intelligence (AI) gaming charter after finding that governance is struggling to keep pace as the technology becomes more widely used across the sector.

The Malta Gaming Authority (MGA), working alongside the Malta Digital Innovation Authority (MDIA), drafted the voluntary charter following extensive surveys and interviews with industry licensees.

That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.

What is Sinful 7s?

The key tension in every crash game is greed versus discipline. The multiplier can crash at any moment, so the longer you wait the bigger the reward but also the bigger the risk.

Many players use a fixed cash-out target, such as 1.5x or 2x, and exit automatically every round. This removes emotion from the decision and keeps losses predictable.

The outcome of each round is determined by a provably fair system, which means every result can be independently verified. This transparency is part of why the format caught on so quickly.

About Sinful 7s

“We expect new products such as KPI markets, which allow users to trade a single corporate metric, such as production, deliveries, or subscriber growth, rather than the stock price itself,” observe the analysts. “Further, perp futures are expanding from crypto to commodities and single stock perps.”

Some exchange operators already filed plans to introduce KPI-linked event contracts. Those derivatives would be tied to metrics such as corporate earnings or, in more nuanced cases, Apple iPhone shipments or Tesla deliveries — just two examples — in a given quarter.

While sports event contracts remain the headline-grabbers for prediction market operators, there’s evidence that other categories are experiencing growth. As Bernstein points out, cryptocurrency event contracts account for at least 20% of the turnover on the two largest prediction markets.