Bitcoin Spot ETFs Break 4-Week Positive Streak With $296M Outflow

bitcoinist2026-03-30 tarihinde yayınlandı2026-03-30 tarihinde güncellendi

Özet

Bitcoin spot ETFs ended a four-week positive streak with $296.18 million in net outflows last week, marking the seventh weekly outflow of 2026. The decline was largely driven by significant redemptions from BlackRock’s IBIT and Grayscale’s GBTC, among others. Fidelity’s FBTC was the only fund to record a net inflow. Meanwhile, Ethereum spot ETFs also saw outflows for the second consecutive week. In other news, Morgan Stanley has filed to launch its own Bitcoin spot ETF, which would feature the lowest fee in the market at 0.14% if approved.

Bitcoin price struggles over the last week were also in its ETF market, as the Bitcoin spot ETFs posted their first net outflows in a month. Before this trading session, these investment funds had experienced a 4-week bullish streak, resulting in a combined net inflow of $2.21 billion.

Bitcoin ETFs See Red Again, While Potential New Member Awaits

According to data from SoSoValue, the combined trading activity across the 12 Bitcoin Spot ETFs resulted in a negative inflow of $296.18 million over the past week. This development represents the seventh weekly outflow of 2026, and the fifteenth since the crypto bear market commenced in October 2025. A daily analysis shows the net withdrawal performance is highly linked to consecutive outflows on Thursday and Friday, combinedly valued at over $396 million. For context, the $225.48 million outflow registered on Friday represents the market’s largest net outflow since March 3rd.

Looking at individual fund performance, BlackRock IBIT experienced the largest net redemptions valued at $158.07 million. Meanwhile, Grayscale’s GBTC, Bitwise’s BITB, and Ark/21 Shares ARKB also registered a total netflow of $169.26 million. ETFs such as Grayscale’s BTC and VanEck’s HODL also posted respective net withdrawals of $5.45 and $10.28, marking minor contributions to the general market’s negative performance. On the other hand, Fidelity’s FBTC accounted for the only recorded net inflow, valued at $46.88 million.

Other ETFs, such as Invesco’s BTCO, Valkyrie’s BRRR, Wisdom Tree’s BTCW, Franklin Templeton’s EZBC, and Hashdex’s DEFI, all experienced zero weekly net flows. At press time, the Bitcoin Spot ETF reported a cumulative total net inflow of $55.93 billion and total net assets of $84.77 billion.

Meanwhile, recent reports indicate that American banking giant Morgan Stanley has filed to launch its own Bitcoin spot ETF under the ticker MSBT. According to Bloomberg analyst Eric Balchunas, the proposed fund will offer the lowest fee in the market at 0.14%, just below Grayscale’s 0.15%. If approved by the SEC, MSBT will be the first Bitcoin spot ETF directly listed by a US bank. For context, Morgan Stanley ranks as a leading financial services operator in the world with an asset under management of $1.9 trillion and a market cap of $251 billion.

Related Reading: Greatest Wealth Transfer Is about To Happen For Altcoins, Analyst Warns

Ethereum Spot ETFs Record Consecutive Outflows

In separate news, the Ethereum ETFs extended their negative performance for a second consecutive week after registering weekly net withdrawals of $206.58 million. At the time of writing, the cumulative total net inflow for the Ethereum spot market is $11.52 billion, while total net assets are valued at $11.33 billion.

BTC trading at $66,859 on the daily chart | Source: BTCUSDT chart on Tradingview.com

Trend Kriptolar

İlgili Sorular

QWhat was the total net outflow for Bitcoin spot ETFs over the past week, breaking their 4-week positive streak?

AThe total net outflow for Bitcoin spot ETFs over the past week was $296.18 million.

QWhich Bitcoin spot ETF was the only one to record a net inflow, and what was the amount?

AFidelity's FBTC was the only Bitcoin spot ETF to record a net inflow, valued at $46.88 million.

QWhat is the proposed management fee for Morgan Stanley's new Bitcoin spot ETF (MSBT), and how does it compare to the competition?

AMorgan Stanley's proposed Bitcoin spot ETF (MSBT) has a management fee of 0.14%, which is the lowest in the market and just below Grayscale's fee of 0.15%.

QHow did the Ethereum spot ETFs perform in the same week, and what was the amount of their net outflow?

AThe Ethereum spot ETFs also recorded a negative performance for a second consecutive week, with net withdrawals of $206.58 million.

QWhich specific Bitcoin spot ETF experienced the largest net redemptions, and what was the value?

ABlackRock's IBIT experienced the largest net redemptions, valued at $158.07 million.

İlgili Okumalar

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit22 dk önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit22 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit26 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit26 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit26 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit26 dk önce

İşlemler

Spot

Popüler Makaleler

4 Nasıl Satın Alınır

HTX.com’a hoş geldiniz! 4 (4) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında 4 (4) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: 4 (4) Varlıklarınızı Saklayın4 (4) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: 4 (4) Varlıklarınızla İşlem YapınHTX'in spot piyasasında 4 (4) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

494 Toplam GörüntülenmeYayınlanma 2025.10.20Güncellenme 2026.06.02

4 Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların 4 (4) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片