ProShares’ stablecoin-ready ETF posts ‘insane’ $17B trading debut

ambcryptoPubblicato 2026-02-21Pubblicato ultima volta 2026-02-21

Introduzione

ProShares' GENIUS Money Market ETF (IQMM) shattered records with an "insane" $17 billion in first-day trading volume, far surpassing the debut of major Bitcoin ETFs. The fund, designed to hold assets compliant with the proposed U.S. stablecoin (GENIUS Act) regulations, is intended for use as reserves by stablecoin issuers. While speculation suggested a major issuer like Circle could be behind the volume, it was clarified the initial funding came from internal ProShares funds for cash management. Separately, the stablecoin sector received a significant regulatory boost as the SEC reduced its capital "haircut" on stablecoin holdings from 100% to 2%, a move hailed by Circle's CEO as a major win that will foster greater adoption in capital markets.

A money market fund targeting issuers regulated under the U.S stablecoin law, GENIUS Act, has made a new record for debut trading volume.

The ProShares GENIUS Money Market ETF (NYSE: IQMM) saw a whopping $17 billion in trading volume.

For context, BlackRock’s iShares Bitcoin ETF (IBIT) saw $1 billion in day-one volume, while its other product, the BlackRock ESG ETF, saw $2 billion.

This was eight times the previous record, noted Bloomberg ETF analyst Eric Balchunas.

He added,

“Insane: That $17B is going to show up as flows/assets tonight. Where is $ coming from? Either way, I was wrong about this ETF.”

Is Circle behind the record debut?

Responding to Balchunas, another ETF expert, Nate Geraci, speculated,

“Would assume ProShares cut a deal with one of the major U.S.-based stablecoin issuers...Looking at assets, believe that would only leave Circle.”

But Ben Johnson, head of client solutions at Morningstar, clarified that the product was funded by other ProShares funds for easier cash management purposes.

So, why GENIUS Act-inspired? The U.S stablecoin law has several instruments that can be used as reserve assets for issued stablecoin tokens. Some of the permitted reserves include cash and cash equivalents, short-dated U.S. Treasury bills, and money market funds focused on cash management.

This makes it easier to redeem and to cater to rising demand if users cash out en masse from stablecoins into fiat without triggering a bank run or risking broader financial markets.

And that’s where the ProShares ETF falls: an MMF focused on stablecoin reserves, likely in the hope that issuers may opt for it for easier cash management, too. It’s unclear whether it will attract these potential issuers.

Why the SEC’s 2% ‘haircut’ is good for stablecoins

Meanwhile, the stablecoin sector got another win after a recent SEC guideline. The regulator said payment stablecoin will now have 2% haircut, similar to money market funds.

In the past, stablecoins had a 100% ‘haircut’, meaning holding them had no capital benefit. If you had $100 million, it would be seen as $0 for capital purposes. Now, it can be valued at $98 million.

The change means stablecoin holders can have more trading inventory, loan capacity, and overall financial activity.

For his part, Jeremy Allaire, CEO of Circle, hailed the move as positive for stablecoin adoption.

“This is a big win for USDC adoption in capital markets. Great progress.”


Final Summary

  • ProShares’ GENIUS Act-inspired ETF set a new record, hitting $17 billion in day-one trading volume.
  • Circle CEO hailed the SEC’s 2% haircut for stablecoin as a likely catalyst for USDC adoption.

Domande pertinenti

QWhat was the record-breaking first-day trading volume for the ProShares GENIUS Money Market ETF (IQMM)?

AThe ProShares GENIUS Money Market ETF (IQMM) saw a record-breaking $17 billion in first-day trading volume.

QAccording to Bloomberg ETF analyst Eric Balchunas, how did the IQMM's debut volume compare to the previous record?

AAccording to Eric Balchunas, the IQMM's $17 billion debut was eight times the previous record.

QWhat was the speculated reason behind the massive trading volume, as suggested by ETF expert Nate Geraci?

AETF expert Nate Geraci speculated that ProShares may have cut a deal with a major U.S.-based stablecoin issuer, likely Circle, to generate the massive volume.

QWhat is the significance of the SEC's new 2% 'haircut' rule for payment stablecoins?

AThe SEC's new 2% 'haircut' rule means stablecoins are now valued at 98% of their face value for capital purposes, a significant improvement from the previous 100% haircut which valued them at $0. This allows holders to have more trading inventory, loan capacity, and overall financial activity.

QHow does the ProShares ETF relate to the proposed GENIUS Act for stablecoins?

AThe ProShares ETF is a money market fund focused on the types of reserve assets (like cash, short-dated Treasury bills, and other money market funds) that would be permitted under the proposed GENIUS Act for stablecoin issuers to use for easier cash management and redemption.

Letture associate

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

**Daily Tech & Markets Roundup: AI Advances, Market Turmoil, and Geopolitical Tensions** **AI / LLMs**: Anthropic's internal report on AI self-improvement sparked serious discussions about Recursive Self-Improvement (RSI). Meanwhile, debate continues on AI coding tools after Claude was accused of introducing bugs into the rsync codebase. In positive news, DeepSeek V4 Flash impressed in local deployment tests, and GitHub Copilot now supports custom endpoints for local models. A surprising research turn suggests removing chain-of-thought prompting can sometimes improve LLM performance. **Crypto / Web3**: Bitcoin plunged below $60,000, with its RSI hitting levels last seen during the COVID-19 crash, driven by strong U.S. jobs data reviving interest rate hike fears. Discussions highlight Ethereum DeFi's continued lack of a smooth consumer payment layer. **Chips / Hardware**: Chip stocks suffered a massive sell-off, with the Philadelphia Semiconductor Index posting its worst single-day drop in six years, erasing over a trillion dollars in value. Marvell, Micron, AMD, and Intel were among the biggest losers. **Tech Companies**: A leaked Microsoft document revealing goals to make Copilot "addictive" drew criticism. LinkedIn founder Reid Hoffman left Microsoft's board to focus full-time on his AI agent startup, Manus. Google was revealed to be paying SpaceX $920 million monthly for AI training compute. **Markets & Macro**: A blowout U.S. jobs report (172k vs. 80k expected) crushed hopes for near-term rate cuts, sending Treasury yields soaring and triggering a broad market sell-off. CEOs from Kraft, McDonald's, and Whirlpool simultaneously warned U.S. consumers are exhausting their savings. **Geopolitics**: U.S.-Iran tensions escalated with missile/drone interceptions and U.S. strikes on Iranian radar sites, keeping the critical Strait of Hormuz largely closed since late February and posing ongoing oil supply risks. **The Bottom Line**: The strong jobs data acted as a single trigger for correlated sell-offs across equities, crypto, and chips. Underlying the volatility is a stark contradiction between robust employment data and warnings of consumer weakness, alongside geopolitical risks that could reignite inflation, leaving markets to price in a fraught macro outlook with no clear "soft landing" path.

marsbit2 h fa

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

marsbit2 h fa

It Took Me a Year to See the Bitter Truth About Agent Payments

After a year building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, and Coinbase, the author shares a sobering analysis of the current state of Agent payments. The core finding is a stark lack of genuine, immediate demand across most envisioned use cases. The article breaks down four key market segments: 1. **Agent-to-Merchant (Consumer Shopping):** For most product categories (e.g., clothing, electronics), conversational AI shopping is a step backwards from visual e-commerce interfaces. While agents excel at understanding needs, they can't replace side-by-side product comparison. Real merchant interest is defensive "Agent Engine Optimization," not driven by current customer demand. Potential exists for high-frequency, low-decision purchases (like food delivery) or navigating complex store UIs, but these require massive B2C distribution channels dominated by giants like Amazon. 2. **Agent-to-API (Developer Services):** Developers already have subscriptions and billing relationships for APIs (compute, data). Prepaid balances solve micro-payment issues for low transaction volumes. A deeper structural problem is that major SaaS vendors' business models rely on enterprise contracts, resisting granular pay-per-call pricing. While protocols like MPP and x402 serve the long tail of niche services, this market is small and developers are historically low-willingness-to-pay. 3. **Agent-to-Agent:** This remains largely theoretical with minimal transaction volume. While it represents a long-term bet on a fundamentally new transaction infrastructure (sub-second, micro-penny to million-dollar, multi-party settlements), it does not constitute a present market. 4. **Agent-to-Finance:** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors established, regulated institutions. The "real problem" is not moving money between agents, but the broader challenge of **coordination**—orchestrating work between agents and humans, verifying outcomes, and settling results. Payment is just one component of settlement, which is itself part of coordination. Companies that solve the coordination layer will subsume payment, not the other way around. While well-funded incumbents build defensively for a long-term future, startups must find where the market is today—which, for the author's team, lies outside these four categories in an area of real, growing, and underserved activity.

marsbit3 h fa

It Took Me a Year to See the Bitter Truth About Agent Payments

marsbit3 h fa

It Took Me a Year to See the Hard Truth About Agent Payments

**Title: It Took Me a Year to See the Hard Truth About Agent Payments** Over the past year, I've worked on infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, and numerous startups. The findings reveal a stark reality: genuine, widespread demand for Agent-based payments does not yet exist. **Key Observations:** * **Agent-to-Merchant (Shopping):** The user experience for AI shopping often falls short, especially for visual product discovery. While AI excels at understanding needs, conversational interfaces can't yet replace browsing and comparing multiple products visually. Current merchant interest is largely defensive ("Agent Engine Optimization") for a future that hasn't arrived. High-frequency, low-friction purchases (like food delivery) are potential fits, but lack open APIs and face high AI inference costs. Simpler, more affordable, or cross-language interactions for complex UIs are a niche opportunity but require massive consumer distribution to scale. * **Agent-to-API (Developer Tools):** Developer payment needs for APIs (computing, data, models) are already met through subscriptions and prepaid credits. The core challenge is not payment friction but supplier economics: most large SaaS providers prefer enterprise contracts over micropayments for API calls. Protocols like MPP and x402 suit the long-tail of smaller services but cater to a developer market historically reluctant to pay for these tools. Major infrastructure needs at the top of the stack are already being addressed. * **Agent-to-Agent (Machine Commerce):** This is a long-term vision with almost no current transaction volume. While a future with high-speed, high-frequency, multi-party machine-to-machine transactions would require novel infrastructure, it remains theoretical. The market is not here yet. * **Agent-to-Finance:** This is the only category with clear, present demand. Financial professionals and DeFi users already pay for tools, and AI augmentation is a natural evolution. Autonomous AI agents can enable entirely new financial strategies. However, competition is fierce from established, regulated incumbents who can more easily layer AI onto their existing products. **The Core Insight:** Companies, especially giants with long time horizons, are building defensively for a potential future of mass machine commerce. For them, early investment is a low-cost hedge. For startups, the current market reality is different. The primary challenge isn't just moving money between agents (payments). The larger, unsolved problem is **orchestration** – coordinating work between agents and humans, verifying outcomes, and then settling. Payment is just a part of settlement, which is just a part of orchestration. Companies that solve the orchestration problem will subsume payments, not the other way around. After a year of building, we see the real, growing, and underserved market opportunity lies in this broader domain of orchestration.

链捕手4 h fa

It Took Me a Year to See the Hard Truth About Agent Payments

链捕手4 h fa

Trading

Spot
Futures
活动图片