Eye Of The Storm

About Eye Of The Storm

The CFTC’s move gives the agency a chance to pursue parts of a crypto market framework under its existing authority, rather than waiting for Congress to resolve the broader legislative debate. 

CFTC Chairman Michael Selig signaled that possibility back in August. The agency was considering how its existing powers could be used to create a dedicated market structure for digital assets that are standard, he said. 

A new type of Designated Contract Market (DCM) dedicated to crypto trading is among the elements being looked at. Selig’s approach would enable existing and perhaps new crypto exchanges to gain CFTC recognition and offer leveraged or margined digital asset products under rules tailored for the sector.

About Eye Of The Storm

Andrew Gonzalez, founder of prediction market infrastructure startup ParlayX, believes the ability of small teams to provide liquidity is one of the sector’s defining features. “Anyone can be a market maker,” he said. “You have these two- or three-man shops.”

Jefferies described market makers as the ecosystem’s “liquidity backbone”. They post executable bids and offers, manage inventory and provide prices when customer activity is heavily weighted to one side.

The analysts estimated that an operator capturing a one-cent spread and managing its exposure successfully could generate net economics of approximately $1.69 on a $100 trade. Returns are not guaranteed: adverse price movements and unresolved inventory can offset or exceed income from spreads, rebates and liquidity incentives.

About Eye Of The Storm

Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.

Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.

“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.