CME Group Announces Round-The-Clock Crypto Derivatives Trading Beginning May 29

bitcoinistОпубликовано 2026-02-20Обновлено 2026-02-20

Введение

CME Group, the world's largest derivatives marketplace, will introduce nearly 24/7 trading for its cryptocurrency futures and options starting May 29, pending regulatory approval. The new schedule on the CME Globex platform will include a brief weekend maintenance break. This move responds to record-high client demand for crypto risk management tools, with the exchange reporting $3 trillion in notional trading volume in 2025 alone. Year-to-date average daily volume surged 46% to 407,200 contracts. The extended hours will allow traders to manage exposure continuously amid market volatility, aligning regulated derivatives more closely with the crypto market's always-on nature.

CME Group, the world’s largest derivatives marketplace, announced Thursday that it will introduce nearly round‐the‐clock trading for its cryptocurrency derivatives, with the new schedule set to begin on May 29, pending regulatory approval.

The exchange announced that its crypto futures and options will transition to continuous trading on the CME Globex platform, providing broader access beyond the traditional weekly schedule. While the platform will operate on an almost 24/7 basis, it will still include a minimum two‐hour maintenance break each weekend.

‘All‐Time High’ Demand For Crypto Risk Tools

Under the updated framework, trades executed between Friday evening and Sunday evening will be assigned a trade date of the next business day. CME added that clearing, settlement, and regulatory reporting for those transactions will also be processed on the following business day.

According to the firm’s press release, the decision reflects the surging demand for cryptocurrency risk management tools amid falling cryptocurrency prices, including a 50% drop in Bitcoin’s value in just four months.

The daily chart shows BTC’s price trending downwards following October’s high record. Source: BTCUSDT on TradingView.com

Notably, Tim McCourt, CME Group’s Global Head of Equities, FX, and Alternative Products, said client appetite for digital asset exposure has reached unprecedented levels.

In 2025 alone, the exchange recorded $3 trillion in notional trading volume across its cryptocurrency futures and options suite, a record for the platform.

“Client demand for risk management in the digital asset market is at an all-time high,” McCourt said, noting that continuous access to regulated crypto derivatives will allow traders to manage exposure whenever market conditions shift.

While he acknowledged that not every asset class is suited for nonstop trading, he emphasized that always‐on access to transparent and regulated cryptocurrency products will enable clients to trade with greater flexibility and confidence.

Futures Lead 47% Jump In CME Group Digital Asset Activity

CME Group’s crypto complex has continued to expand in 2026. The exchange reported average daily volume of 407,200 contracts so far this year, marking a 46% increase compared with the same period in 2025. Average daily open interest reached 335,400 contracts, up 7% year over year (YoY).

Futures activity on the platform has been particularly strong, with the average daily volume climbing 47% from a year earlier.

Although CME Group has confirmed May 29 as its target launch date, the exchange noted that the extended trading schedule remains subject to regulatory review and final approval.

If cleared, the move would mark a significant step in aligning regulated crypto derivatives trading more closely with the around‐the‐clock nature of underlying digital asset markets.

Featured image from OpenArt, chart from TradingView.com

Связанные с этим вопросы

QWhat is the new trading schedule for CME Group's cryptocurrency derivatives and when does it begin?

ACME Group will introduce nearly round-the-clock trading for its cryptocurrency derivatives, set to begin on May 29, pending regulatory approval. The schedule includes a minimum two-hour maintenance break each weekend.

QAccording to CME Group, what is there an 'all-time high' demand for?

AAccording to Tim McCourt, CME Group's Global Head of Equities, FX, and Alternative Products, there is an 'all-time high' client demand for risk management tools in the digital asset market.

QHow much notional trading volume did CME Group record for its cryptocurrency futures and options in 2025?

ACME Group recorded $3 trillion in notional trading volume across its cryptocurrency futures and options suite in 2025, which was a record for the platform.

QWhat is the year-over-year (YoY) percentage increase in average daily volume for CME Group's crypto complex so far in 2026?

AThe average daily volume for CME Group's crypto complex so far in 2026 is 407,200 contracts, marking a 46% increase compared to the same period in 2025.

QIs the launch of the extended trading schedule final, or is it contingent on another factor?

AThe launch of the extended trading schedule is not final; it remains subject to regulatory review and final approval.

Похожее

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit14 ч. назад

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit14 ч. назад

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit15 ч. назад

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit15 ч. назад

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit16 ч. назад

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit16 ч. назад

Торговля

Спот
Фьючерсы
活动图片