CFTC Chair Says Crypto Market Structure Bill Nears Final Approval

bitcoinistPublicado em 2026-02-18Última atualização em 2026-02-18

Resumo

The long-debated crypto market structure bill, the CLARITY Act, is nearing a critical point in Washington as end-of-month negotiations continue. CFTC Chair Mike Selig expressed strong confidence that the legislation is close to becoming law, aiming to establish clear U.S. rules for digital assets and prevent regulatory overreach. However, a major unresolved issue is whether stablecoins should be allowed to offer yield. Banks oppose such rewards, while crypto industry groups propose a framework permitting yield generation in DeFi systems. Despite ongoing division, another meeting between stakeholders may occur soon to advance the bill.

With the end of the month approaching and negotiations still ongoing, the long-debated crypto market structure legislation known as the CLARITY Act is facing a critical moment in Washington.

The bill, which aims to establish clear rules for digital asset markets in the United States, has encountered significant obstacles in recent weeks as lawmakers, regulators, banks and crypto industry representatives continue to debate key provisions.

Despite the hurdles, newly appointed Commodity Futures Trading Commission (CFTC) Chair Mike Selig has expressed strong confidence that the legislation is close to becoming law.

CFTC Chief Optimistic On CLARITY Act

In an interview with FOX Business on Tuesday, Selig said the bill is “about to” be signed, signaling optimism that Congress will ultimately push it across the finish line.

“We want to ensure that the legal framework for cryptocurrencies is adaptable to future developments. We cannot allow a second Gary Gensler to come in and destroy everything. We’re going to get this thing across the line,” he added.

Selig’s remarks build on statements he made earlier this month. On February 3, he argued that the market structure bill moving through Congress could position the United States as the “gold standard” for crypto regulation.

According to Selig, the industry has operated for too long without clear guidelines, causing businesses and innovation to migrate offshore. “The goal [of this legislation] is just to get some clarity.

It’s been too long with these markets just languishing, and they’ve fled offshore,” he said at the time. He also projected that a finalized bill could land on President Donald Trump’s desk “in the next couple of months,” praising the president’s leadership and support for the cryptocurrency sector.

However, as the White House’s end-of-month deadline looms, a major sticking point remains unresolved: whether stablecoins should be permitted to offer yield.

Crypto, Banks Remain Divided On Stablecoin Rewards

Journalist Eleanor Terrett reported Monday for Crypto In America that discussions between the crypto and banking industries have yet to produce a compromise on the issue, which is widely seen as the linchpin for advancing the CLARITY Act.

Last Tuesday, policy staff from banks and crypto firms met at the White House. The meeting concluded without agreement after banking representatives circulated a one-page document titled “Yield and Interest Prohibition Principles,” which argued that stablecoins should not provide yield or rewards to holders.

In response, the Digital Chamber, a trade group representing more than 130 crypto firms and several traditional banks with digital asset exposure, released its own proposed framework on Friday.

The organization suggested principles that would allow payment stablecoins to generate yield within decentralized finance (DeFi) systems.

The group said its recommendations are intended to preserve stablecoins as payment tools, safeguard DeFi liquidity and reinforce US dollar dominance, while introducing a rigorous, data-driven method to assess potential impacts on bank deposits.

Banks have not formally responded to the Digital Chamber’s proposal. However, a source close to the Senate Banking Committee described the document to Crypto In America as “constructive,” though cautioning that some elements may be too broad to gain full support from financial institutions.

The next steps remain uncertain. Patrick Witt, executive director of the White House Crypto Council, told Yahoo Finance on Friday that another meeting could take place as early as this week, though no specific date was provided.

The daily chart shows the total crypto market cap valuation at $2.29 trillion as of Tuesday. Source: TOTAL on TradingView.com

Featured image from Openart, chart from TradingView.com

Perguntas relacionadas

QWhat is the name of the crypto market structure legislation discussed in the article and who expressed confidence in its approval?

AThe legislation is called the CLARITY Act. Newly appointed Commodity Futures Trading Commission (CFTC) Chair Mike Selig expressed strong confidence that it is close to becoming law.

QAccording to CFTC Chair Mike Selig, what is the main goal of the CLARITY Act?

AThe main goal of the legislation is to provide clarity and establish a clear legal framework for digital asset markets in the United States, which has been lacking and causing businesses to move offshore.

QWhat is the major unresolved issue preventing the advancement of the CLARITY Act, as reported by journalist Eleanor Terrett?

AThe major unresolved issue is whether stablecoins should be permitted to offer yield or rewards to their holders.

QHow did the banking industry and the Digital Chamber's proposals on stablecoin yields differ?

ABanking representatives argued that stablecoins should not provide any yield or rewards. In contrast, the Digital Chamber proposed a framework that would allow payment stablecoins to generate yield within decentralized finance (DeFi) systems.

QWhat did CFTC Chair Mike Selig say about the potential impact of this legislation on the United States?

ASelig argued that the market structure bill could position the United States as the 'gold standard' for cryptocurrency regulation.

Leituras Relacionadas

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbitHá 47m

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbitHá 47m

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbitHá 59m

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbitHá 59m

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

marsbitHá 1h

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbitHá 1h

Weekly Editor's Picks (0613-0619)

Weekly Editor's Picks (0613-0619): Market Insights & Analysis This weekly digest curates in-depth analysis often lost in the information flow, focusing on key insights across macro trends, investment, and technology. **Macro & Geopolitics:** With the Strait of Hormuz reopening and military conflict shifting to negotiation, markets are pivoting from "war shock" to "supply restoration." Trades include shorting crude risk premiums, longing airlines/tourism, Asian energy importers, and bond duration, while shorting inflation expectations. LNG, fertilizer, and chemical chains are also being repriced. **Investment & VC:** Ray Dalio advises against betting on concentrated AI giants dominating indices, advocating for diversified portfolios of high-quality, low-correlation assets instead. Analysis covers the 4-year crypto cycle, predicting the core surviving product by 2029 will be asset trading markets. Current BTC metrics suggest a potential bottoming zone, presenting a patient accumulation window. SpaceX's high-profile IPO at a $2.1T valuation faces scrutiny over fundamentals, with key watchpoints being its likely inclusion in the Nasdaq index and Q2 earnings. Concerns are raised about potential "gamma squeeze" and systemic risks if its narrative-driven valuation gets amplified by passive index funds. Robinhood (HOOD) is noted for breaking its high correlation with crypto, bolstered by its stock trading and new underwriting business. **Web3 & AI:** A warning highlights ~$1.8T in off-balance-sheet AI infrastructure commitments (purchase commitments, leases) as a potential systemic risk if AI monetization lags. AI models are being used for World Cup predictions, adding a new layer for betting markets. A cost breakdown of a $20 AI subscription reveals the supply chain from model companies to cloud, GPUs, and power. **Prediction Markets:** The emergence of prediction market "concept stocks" is noted, with Robinhood developing its own platform, Rothera, signaling a shift from market competition to a "channel war" for user access. **CeFi & DeFi:** The SpaceX IPO tested perpetual contract mechanisms for pre-IPO assets, highlighting challenges in handling corporate actions like stock splits on-chain. The de-pegging of STRC (Strategy's preferred share) to ~$89 reflects market concerns over MicroStrategy's capital structure and BTC-backed leverage model. BlackRock's covered-call Bitcoin ETF (BITA) offers yield but caps upside, appealing to yield-seeking institutions. **Ethereum:** An opinion piece argues Ethereum's core strength is its vast developer community and composability, solidifying its role as the default operating system for the financial internet. **Weekly Hot Topics:** Include the US-Iran deal reopening the Strait of Hormuz, Fed's hawkish hold, Anthropic restricting model access, SpaceX acquiring Cursor, and a humorous stock surge for "Liuliumei" due to its "LLM" ticker.

marsbitHá 1h

Weekly Editor's Picks (0613-0619)

marsbitHá 1h

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

In this letter to entrepreneurs, Alliance reflects on the success of Cursor's $60 billion sale to Elon Musk, using it as a case study to counter the misconception that opportunities in crowded fields like AI or crypto are exhausted. The piece argues that great companies like Cursor, Stripe, Figma, and Shopify are not built by geniuses with perfect ideas, but by founders who start with a non-consensus belief about the future and build for years before that future becomes obvious to everyone. They identify long-term shifts, find overlooked entry points, and execute relentlessly. The framework for success involves: 1. **Identifying your place in the technology cycle**: Early-stage opportunities focus on making new tech usable for power users (e.g., Coinbase, Cursor). Later-stage opportunities involve finding the "yin" to an existing "yang"—the blind spots of first-generation players (e.g., Stripe vs. PayPal, Figma vs. Adobe). 2. **Cultivating unique insights**: Immerse yourself deeply in the market. Use every product, talk to users, and build an audience. Insights will emerge naturally from deep engagement. 3. **Finding a "hair-on-fire" problem**: Look for a 10x improvement or a severe, urgent pain point. The strongest signal is people already building clumsy workarounds. 4. **Building a focused MVP**: Don't just add features because you can. Ask why users would abandon their current tool for yours. The best startups rarely force new behaviors; they improve familiar workflows with drastically lower friction. 5. **Winning a distribution channel**: Distribution is often the moat. Before product-market fit, achieve channel-market fit. Find where your customers are and build an engine to reach them, even through unscalable, manual efforts initially. 6. **Persistence**: The final, unteachable ingredient is resilience. Success stories like Cursor, Airbnb, and Nvidia involved years of grinding, rejection, and perseverance when the path forward seemed unclear. The conclusion is that there is no secret. Most people fail to consistently execute these steps over the long term. The few who do build the companies that define the next era. The world is yours to create.

链捕手Há 1h

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

链捕手Há 1h

Trading

Spot
Futuros
活动图片