Polymarket Finds Path Back To US Following Offshore Move

bitcoinistPublicado em 2025-07-22Última atualização em 2025-07-22

Resumo

Crypto-based predictions marketplace Polymarket, has secured a deal to return to the US market shortly after federal regulators concluded their...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Crypto-based predictions marketplace Polymarket, has secured a deal to return to the US market shortly after federal regulators concluded their investigation into the company. 

The New York-based platform, known for enabling users to wager on various political and social outcomes such as the past US presidential election, has acquired QCX, a lesser-known derivatives exchange and clearinghouse, which will facilitate its legal re-entry into the US market.

Polymarket’s US Re-Entry

This acquisition comes on the heels of Polymarket’s rising popularity during the 2024 US presidential election, where users placed substantial bets on outcomes, particularly regarding President Donald Trump’s potential return to office. 

Earlier this month, both the Department of Justice (DOJ) and the Commodity Futures Trading Commission (CFTC) informed Polymarket that they had closed their probes into the company. 

These investigations focused on whether Polymarket had allowed US-based traders to access its platform, despite a settlement with the CFTC in 2022 that required the company to block such access due to its unregistered status.

This development reflects a notable shift in US regulatory attitudes towards digital asset firms, particularly as the current administration appears more open to crypto-related initiatives compared to the previous Biden-era restrictions.

Shifting Regulatory Landscape

Polymarket gained significant public attention during the 2024 presidential race between Donald Trump and Kamala Harris, with advertising and promotional materials widespread at the Republican National Convention and throughout New York City. 

Polymarket’s acquisition of QCX for $112 million aligns with this trend, as the exchange received Commodity Futures Trading Commission licensing approval in July, following its application in 2022.

However, as Polymarket prepares to re-establish its presence in the US market, it faces increasing competition from other platforms like Crypto.com and Kalshi, both of which are registered with the CFTC and have begun offering their own betting contracts

Previously, the Biden administration had sought to limit the growth of political and sports-themed betting on derivatives exchanges, but the Trump administration has signaled a more favorable outlook toward these products.

Bloomberg asserts that the approval of QCX’s license by the CFTC raises questions about whether the regulator was aware of Polymarket’s impending acquisition at the time. Notably, once a license is granted, the CFTC does not have the authority to intervene in subsequent business deals.

Polymarket’s strategic maneuvering comes at a crucial time, as Brian Quintenz, a former Republican CFTC commissioner and head of policy at Andreessen Horowitz’s digital asset division, has been nominated to lead the agency. 

Quintenz’s nomination is set to be voted on by the Senate Agriculture Committee, with the White House advocating for swift confirmation before the August recess.

Polymarket
The daily chart shows the total crypto capitalization at $3.83 trillion. Source: TOTAL on TradingView.com

Featured image from DALL-E, chart from TradingView.com

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Ronaldo is a seasoned crypto enthusiast with over four years of experience in the field. He is passionate about exploring the vast and dynamic world of decentralized finance (DeFi) and its practical applications for achieving economic sovereignty. Ronaldo is constantly seeking to expand his knowledge and expertise in the DeFi space, as he believes it holds tremendous potential for transforming the traditional financial landscape.

Criptomoedas em alta

Leituras Relacionadas

Li Fei-Fei's Latest Long-Form Article: When Video Generation, Robotics, and NVIDIA All Call Themselves World Models, We Need a Taxonomy

In a new article, Dr. Fei-Fei Li addresses the widespread and often inconsistent use of the term "world model" in AI. She proposes a clear, functional taxonomy rooted in the classic Partially Observable Markov Decision Process (POMDP) loop (agent → action → state → observation → agent). According to this framework, current systems called "world models" are different projections of this loop, categorized by their primary output: 1. **Renderers**: Output observations (pixels). Their goal is visual fidelity for human consumption (e.g., video generation models like Sora). They are the most commercially mature but are limited by a focus on appearance over physical accuracy. 2. **Simulators**: Output states (geometric, physical, dynamic representations). They provide a structurally accurate world for both human professionals (e.g., architects) and computational agents (e.g., robots for training). Li argues simulators are the crucial, underappreciated bridge, as they can underpin both rendering and planning. 3. **Planners**: Output actions. Given an observation and a goal, they decide what an agent should do next (e.g., robotic action models). This area is highly promising but remains the least mature for real-world deployment. Li highlights a key trend: the boundaries between these three categories are beginning to blur, as they all rely on a shared underlying understanding of geometry, physics, and dynamics. The logical endpoint is a unified world foundation model capable of switching between rendering, simulation, and planning based on downstream needs. This convergence, she concludes, is central to advancing spatial intelligence—enabling machines not just to talk about the world, but to truly understand, imagine, and interact with it.

marsbitHá 47m

Li Fei-Fei's Latest Long-Form Article: When Video Generation, Robotics, and NVIDIA All Call Themselves World Models, We Need a Taxonomy

marsbitHá 47m

Forbes Feature: Stablecoin Cross-Border Payments Are Faster, But Not Yet Cheaper

A Forbes feature delves into the state of stablecoin-based cross-border payments, noting rapid growth but a key shortfall: while faster and more accessible, they are not yet cheaper. At a recent industry conference in Mexico City, optimism about technology, regulation, and volume was tempered by discussions with practitioners. The core issue is liquidity. Traditional FX brokers charge 60-70 basis points, and stablecoins promise to slash this to 2-5 basis points. However, this theoretical cost advantage cannot be realized until deep liquidity pools are established at scale, requiring significant institutional capital inflow. A major adoption barrier is trust. Businesses often rely on long-standing relationships with traditional brokers, valuing reliability over marginal cost savings. This shift will be gradual. Furthermore, successful companies in the space are not positioning themselves as replacements for legacy systems like SWIFT, but as complements. They leverage stablecoins for speed while using traditional rails for their standardization and reliability in ensuring accurate payment details—a critical factor for supplier payments to avoid customs issues. Companies like Caliza, experiencing high monthly growth, exemplify this hybrid approach. The industry anticipates consolidation, as long-term viability will depend on securing the essential trifecta: proper licensing, robust fiat on/off-ramps, and deep liquidity. Without these, firms risk being mere intermediaries rather than building sustainable businesses.

marsbitHá 48m

Forbes Feature: Stablecoin Cross-Border Payments Are Faster, But Not Yet Cheaper

marsbitHá 48m

Li Feifei's Latest Article: When Video Generation, Robotics, and NVIDIA All Claim to Have 'World Models,' We Need a Taxonomy

"World Model" has become a widely used yet ambiguous term in AI. Drawing from the classic POMDP framework (agent → action → state → observation), this article proposes a functional taxonomy to clarify the concept. It identifies three distinct types, categorized by their output in the perception-action loop: 1. **Renderers**: Output visual observations (pixels). These models, like advanced video generators, prioritize visual fidelity but often lack underlying physical accuracy. 2. **Simulators**: Output the state of the world (geometry, physics, dynamics). They provide a structurally accurate representation for professionals (e.g., architects) and serve as training environments for robots and AI agents. 3. **Planners**: Output actions. Given an observation and a goal, they determine what an agent should do next, closing the perception-action loop (e.g., vision-language-action models). While renderers are currently the most commercially mature and planners are the most aspirational, the article argues that **simulators are the crucial, underappreciated hub**. By working at the level of geometry and physics, a simulator can project upwards to create visuals for humans and downwards to predict action consequences for agents. The future lies in the convergence of these three functions. Emerging research and products, like World Labs' Marble model which outputs both visual splats and physical collision meshes, are beginning to blur these boundaries. The logical endpoint is a unified world foundation model capable of rendering, simulating, and planning based on a shared understanding of spatial and temporal structures—ultimately enabling machines to understand, imagine, and interact with the physical world.

链捕手Há 58m

Li Feifei's Latest Article: When Video Generation, Robotics, and NVIDIA All Claim to Have 'World Models,' We Need a Taxonomy

链捕手Há 58m

Trading

Spot

Artigos em Destaque

Como comprar MOVE

Bem-vindo à HTX.com!Tornámos a compra de Movement (MOVE) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Movement (MOVE) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Movement (MOVE)Depois de comprar o teu Movement (MOVE), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Movement (MOVE)Transaciona facilmente Movement (MOVE) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

323 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar MOVE

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de MOVE (MOVE) são apresentadas abaixo.

活动图片