Crypto funds log second week of inflows after massive $5.5B selloff

cointelegraphОпубликовано 2025-12-08Обновлено 2025-12-08

Введение

Cryptocurrency investment products recorded their second consecutive week of inflows, attracting $716 million, following a previous week of $1 billion in gains. This marks a recovery after a significant $5.5 billion selloff over four weeks, bringing total assets under management to over $180 billion—an 8% rebound from November lows, though still below the all-time high of $264 billion. Bitcoin led inflows with $352 million, followed by XRP with $244 million. Chainlink saw a record inflow of $52.8 million, representing 54% of its AUM. Ether had minor inflows of $39 million, while short Bitcoin products saw outflows, suggesting reduced negative sentiment. Among issuers, ProShares led with $210 million in inflows, while BlackRock experienced $105 million in outflows. Geographically, the U.S., Germany, and Canada saw the highest inflows, whereas Sweden continued to record outflows.

Cryptocurrency investment products maintained upward momentum last week, logging two consecutive weeks of gains following substantial outflows.

Crypto exchange-traded products (ETPs) attracted $716 million in inflows last week, adding to the previous week’s gains of $1 billion, European crypto asset manager CoinShares reported Monday.

“Daily data highlighted minor outflows on Thursday and Friday in what we believe was a response to macroeconomic data in the US alluding to ongoing inflationary pressures,” CoinShares’ head of research, James Butterfill, said in the update.

The new inflows pushed total assets under management (AUM) above $180 billion, marking an 8% rebound from November lows following $5.5 billion of four-week outflows. However, AUM remains well below its all-time high of $264 billion, Butterfill noted.

Bitcoin leads inflows, Chainlink posts record inflow

Bitcoin (BTC) led crypto ETP gains last week, attracting $352 million in inflows, followed by XRP (XRP) funds with $244 million.

Chainlink (LINK) stood out with a record inflow of $52.8 million, which represented 54% of its AUM.

Weekly crypto ETP flows by asset as of Friday (in millions of US dollars). Source: CoinShares

On the other hand, Ether (ETH) funds saw minor inflows of $39 million, while short Bitcoin ETPs posted around $19 million in outflows, potentially indicating a lessening of negative sentiment.

ProShares tops inflows, while BlackRock’s iShares bleeds

Among issuers, ProShares led inflows with $210 million, while BlackRock — the largest issuer by AUM — experienced $105 million in outflows.

Cathie Wood’s ARK and Grayscale Investments also saw outflows, recording $78 million and $7 million, respectively, last week.

Weekly crypto ETP flows by issuer as of Friday (in millions of US dollars). Source: CoinShares

Geographically, almost all regions globally saw inflows, with the most notable being the US, Germany and Canada, with inflows of $483 million, $97 million and $80.7 million, respectively.

Related: Sweden eyes entering the Bitcoin ‘digital arms race’

On the other hand, Sweden saw $5.6 million in outflows last week, pushing its year-to-date outflows to $836 million, topping global outflows.

Magazine: Koreans ‘pump’ alts after Upbit hack, China BTC mining surge: Asia Express


Связанные с этим вопросы

QWhat was the total amount of inflows into crypto ETPs for the week reported by CoinShares?

ACrypto ETPs attracted $716 million in inflows for the week.

QWhich cryptocurrency fund led the inflows, and how much did it attract?

ABitcoin (BTC) funds led the inflows, attracting $352 million.

QWhich asset manager experienced the largest outflows among the issuers mentioned?

ABlackRock, the largest issuer by AUM, experienced the largest outflows at $105 million.

QWhat record did Chainlink (LINK) funds set according to the report?

AChainlink (LINK) funds posted a record inflow of $52.8 million, which represented 54% of its Assets Under Management (AUM).

QWhat was the primary reason suggested for the minor outflows on Thursday and Friday?

AThe minor outflows were suggested to be a response to US macroeconomic data alluding to ongoing inflationary pressures.

Похожее

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbit18 мин. назад

Is AI Creating a New Class of 'Information Poor'?

marsbit18 мин. назад

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbit1 ч. назад

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbit1 ч. назад

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit1 ч. назад

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit1 ч. назад

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The Nasdaq Composite plummeted 4.18% on June 5, its biggest single-day drop since April 2025, triggering widespread debate over whether the U.S. stock market has peaked. The sell-off was sparked by a stronger-than-expected U.S. non-farm payrolls report, which fueled fears of economic overheating and pushed back market expectations for Federal Reserve rate cuts, leading to a sharp rise in Treasury yields. The AI sector, the primary driver of the recent bull market, suffered severe losses, with the Philadelphia Semiconductor Index crashing over 10%. Stocks like Nvidia, Broadcom, and Micron led the decline. Concerns are mounting about the sustainability of AI capital expenditures and high valuations, with signs of order cuts for next-generation chips emerging. Analyses point to several warning signs: historically high market valuations (e.g., elevated Shiller CAPE ratio, Buffett Indicator), extreme bullish sentiment indicators, and significant insider selling. The sell-off also caused a key technical breakdown, with the S&P 500 breaking below its short-term moving average and testing its 200-day moving average. Wall Street is divided on the outlook. Bears warn this could be the start of a bubble deflation or a "stagflation" scenario, while bulls view it as a healthy, overdue correction within a bull market driven by solid corporate earnings growth. A more moderate view suggests the easy liquidity-driven rally is over, and markets are entering a phase of fundamental stock-picking with potential for consolidation. The immediate future hinges on key upcoming events: the May CPI report and the mid-June FOMC meeting. Their outcomes will be critical in determining whether this is a temporary pullback or the beginning of a more significant trend reversal. The consensus is that the era of one-directional market gains may be ending, requiring increased investor caution.

Odaily星球日报1 ч. назад

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

Odaily星球日报1 ч. назад

The First Case on AI Agents: What Was Adjudicated?

"The First 'Agent' Ruling: What Was Decided?" On April 30, the Guangzhou Internet Court issued a ruling—China's first behavior preservation order in the intelligent agent (AI agent) field. The defendant, an open-source AI agent software, was ordered to stop downloads, cease actions that bypassed a platform's technical protection measures, and delete related tutorials and data. The core issue: the software used the operating system's "accessibility service" permissions to automate user interactions within other apps without those platforms' authorization. This mirrors a recent US case where Amazon sued Perplexity for similar reasons—bypassing Amazon's API to directly scrape and interact with its pages—and won a preliminary injunction. Both rulings establish a crucial legal boundary for the AI agent era: agents cannot operate unchecked. The article argues the fundamental legal principle emerging is one of **dual authorization**. An AI agent requires both **user consent** AND **platform consent** to operate legitimately within that platform's ecosystem. Bypassing platform rules through system-level permissions, even with user permission, undermines platform responsibilities for content moderation, data security, and user privacy, creating liability issues. The piece uses the evolution of "Doubao Phone" (an AI-integrated smartphone) as a case study. Its initial, aggressive version that bypassed platform controls faced roadblocks. Its upcoming 2.0 version is reportedly pivoting to negotiate API access and authorization deals with major platforms (like Alibaba's ecosystem), seen as a strategic adaptation to the new regulatory reality. A global trend is identified: the era of unregulated, "wild west" growth for AI agents is ending, replaced by a **compliance race**. This raises barriers to entry, as securing platform authorizations becomes a new cost. Open-source status is also not a legal shield if the code facilitates bypassing technical protections. In conclusion, these first rulings target not the largest, but the most **aggressive and representative** cases. By setting precedent with them, regulators are efficiently steering the entire industry towards a new, more regulated operating paradigm defined by dual authorization and platform cooperation.

marsbit1 ч. назад

The First Case on AI Agents: What Was Adjudicated?

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片