$1.33B exits Bitcoin ETFs: Are investors done with risk assets?

ambcryptoPublished on 2026-01-24Last updated on 2026-01-24

Abstract

The cryptocurrency market is experiencing a severe downturn, with over $1 trillion in value erased and a 35% drawdown. Bitcoin ETFs have seen massive outflows totaling $1.33 billion, while Ethereum, XRP, and Solana ETFs also recorded significant withdrawals. This reflects a clear shift in investor sentiment away from risk assets like cryptocurrencies. Meanwhile, precious metals, especially gold and silver, have surged as investors seek stability amid geopolitical tensions and concerns about the U.S. dollar. Gold and silver now boast market caps of $34.64 trillion and $5.81 trillion, respectively. Although global liquidity has reached a record $162 trillion—traditionally a positive signal for crypto—capital has decoupled from digital assets and flowed into safer havens. The near-term recovery of cryptocurrencies remains uncertain, though some optimism exists regarding potential future Federal Reserve policy changes.

The cryptocurrency market has remained locked in a prolonged downturn, one that many participants now openly describe as a bear market. That label appears increasingly difficult to dispute.

After a brutal 35% drawdown, the market has erased more than $1 trillion in value, marking one of its steepest periods of capitulation in recent cycles.

Market liquidity has also continued to thin. What makes the current environment particularly striking is the growing divergence between asset classes. As liquidity dries up, precious metals have staged an aggressive rally, with gold and silver delivering sustained upside while digital assets slide further into weakness.

This widening gap underscores a broader shift in investor behavior. As traditional investors step away from crypto exposure, precious metals are tightening their grip as the market’s preferred refuge.

Traditional investors exit from crypto ETFs

Traditional investors have continued to unwind positions across major digital assets, including Bitcoin [BTC], Ethereum [ETH], Solana [SOL], and XRP, through U.S. spot ETFs.

Bitcoin ETFs have borne the brunt of the sell-off. More than $1.33 billion has exited the market, pushing outflows to levels last seen in November, when selling momentum intensified sharply.

Ethereum ETFs have followed a similar trajectory, recording net withdrawals of $611 million, comparable to the sell-off observed in mid-December.

XRP’s U.S. spot ETF recorded its first negative weekly netflow, with $40.6 million pulled from the market.

This marked a sharp reversal from the previous week, when inflows surged to $56.83 million, the strongest reading in January. Solana stood as the lone exception, managing to retain positive weekly inflows. Even so, the $9.57 million added represented its weakest inflow on record.

The steady drumbeat of outflows points to a clear shift in sentiment. For many institutional players, digital assets no longer offer the risk-reward profile they once did.

Instead, capital appears to be gravitating toward assets that promise stability and are currently delivering it.

Precious metals absorb capital flight

Precious metals have extended their rally, led decisively by gold and silver. Together, they now rank among the world’s most valuable asset classes, boasting market capitalizations of $34.64 trillion and $5.81 trillion, respectively.

Since the broader crypto market slipped into decline in October, silver has surged to fresh highs, while digital assets continue to probe lower levels.

Over this same period, silver has added value roughly equivalent to Bitcoin’s entire market capitalization. Gold and platinum have also posted strong, sustained gains.

This renewed appetite for precious metals has been fueled by rising geopolitical tensions, particularly involving the United States and several European nations, which have amplified risk aversion across global markets.

Concerns over the weakening purchasing power of the U.S. dollar have further accelerated the shift. In times of uncertainty, investors have once again turned to precious metals as reliable safe havens.

For digital assets—often categorized as risk-on investments, the implications are stark. Capital inflows remain constrained as investors prioritize capital preservation and more predictable returns, a framework that currently favors precious metals.

Any path to recovery?

The outlook for a near-term recovery in the crypto market remains uncertain. Geopolitical risk has already nudged investors toward safety, but a deeper challenge lies in the evolving dynamics of global liquidity.

Global liquidity has continued to expand, reaching a record $162 trillion. Historically, such expansion has acted as a tailwind for crypto markets, with higher liquidity closely aligned with rising digital asset prices.

Global liquidity reflects the total pool of money and credit circulating through the world’s financial system. Under normal conditions, this would be a supportive backdrop for crypto.

Yet since November 15, a striking decoupling has emerged. While the global liquidity index continues to climb, the crypto market has trended lower. This divergence suggests that capital is flowing elsewhere, disrupting the rotation patterns that once favored digital assets.

Still, some market participants remain cautiously optimistic.

A more supportive macro backdrop could emerge with the appointment of a new Federal Reserve chair, whose policy stance may prove more accommodating to risk assets, including cryptocurrencies, over the longer term.


Final Thoughts

  • Capital outflows and weakening funding conditions have now been recorded across all four major U.S. spot cryptocurrency exchange-traded funds, highlighting a clear pullback in institutional conviction.
  • Precious metals continue to shine. Silver has emerged as the standout performer, notching the strongest gains as the crypto market remains trapped under persistent selling pressure.

Related Questions

QHow much capital has exited Bitcoin ETFs according to the article, and when were outflows last at similar levels?

AMore than $1.33 billion has exited Bitcoin ETFs, with outflows reaching levels last seen in November when selling momentum intensified sharply.

QWhich asset class has become the preferred refuge for investors as they move away from crypto, and what are their respective market capitalizations?

APrecious metals, specifically gold and silver, have become the preferred refuge. Their market capitalizations are $34.64 trillion and $5.81 trillion, respectively.

QWhat two main factors are cited as fueling the renewed investor appetite for precious metals?

AThe two main factors are rising geopolitical tensions, which have amplified risk aversion, and concerns over the weakening purchasing power of the U.S. dollar.

QWhat is the current state of global liquidity, and how is its relationship with the crypto market described as unusual?

AGlobal liquidity has expanded to a record $162 trillion. The unusual relationship is that despite this expansion, which historically supports crypto, the market has trended lower, indicating a decoupling where capital is flowing elsewhere.

QWhich cryptocurrency ETF was the lone exception to the trend of negative netflows, and how much inflow did it record?

ASolana's ETF was the lone exception, managing to retain positive weekly inflows of $9.57 million, though it was its weakest inflow on record.

Related Reads

How to Conduct Deep Research Using Claude's Dynamic Workflows

The article "How to Use Claude's Dynamic Workflows for Deep Research" discusses overcoming the pitfalls of technical research, where both humans and AI can get overwhelmed by information, leading to vague conclusions. It introduces Claude Code's new "Dynamic Workflows" feature, which automatically designs and executes task-specific workflows before starting a task, unlike simpler "planning modes." This approach incorporates validation, result convergence, and adversarial verification from the outset. The core of Dynamic Workflows is six predefined scheduling patterns that address how to decompose tasks and synthesize results: 1. **Classify-and-Act (Routing):** An agent classifies the task and routes it to the most suitable specialist agent for execution. It's precise and efficient but struggles with ambiguous tasks. 2. **Fan-out & Merge:** The task is split into parallel, independent subtasks whose results are later merged. It's fast and isolates contexts but is more expensive and challenging to synthesize. 3. **Adversarial Verification:** Multiple "challenger" agents critique a worker agent's conclusion, requiring majority approval. This counters confirmation bias and self-assessment errors but relies on verifiable facts. 4. **Generate & Filter:** Multiple agents generate many candidate solutions, which are then filtered against a rubric to output only the best. It fosters diversity but depends heavily on the filter's quality. 5. **Tournament:** Multiple agents compete on the same task, with pairwise comparisons eliminating contestants over rounds to select the best. This offers stable relative judgment but is complex. 6. **Loop:** An agent iteratively attempts a task, learning from errors and adjusting until a stop condition is met. It handles tasks with unknown scope but risks infinite loops without proper design. The author compares their own custom deep-research system, which involved multi-agent analysis and deduplication but lacked goal-oriented convergence, to Claude's built-in workflow. The official workflow adds critical layers: initial problem decomposition, credibility assessment of sources, cross-agent voting to delete weak conclusions (not just averaging), and output tightly focused on the user's original goals and actionable recommendations. This structurally addresses common AI issues like goal drift, premature stopping, context pollution, and output bias. In summary, Dynamic Workflows represent a shift from smarter single conversations to a structured research process, compressing what used to require many dialogues into 3-4 interactions, albeit at higher token cost. The author notes remaining challenges for their specific domain (blockchain research): the need for fact-based verification over official documentation, depth in truly novel interdisciplinary thinking, the practical validation of proposed solutions, and tailoring information density to the audience.

marsbit6m ago

How to Conduct Deep Research Using Claude's Dynamic Workflows

marsbit6m ago

When LPs Teach Me Investment with Doubao: A Self-Narrative of a Private Equity GP Switching Careers

When LPs Use Doubao to Teach Investing: A Transition Story of a Private Equity GP AI is making life increasingly difficult for small private equity fund managers, as a former GP of an offshore dollar fund reveals. The fund, managing tens of millions in US stocks, outperformed the Nasdaq but struggled with fundraising. Its traditional Cayman SPC/BVI structure failed to attract major Asian LPs, who now prefer Hong Kong LPF or Singapore VCC frameworks. The rise of AI-powered quantitative strategies has further squeezed the space for funds like his, which relied on subjective, discretionary investing. AI tools have leveled the information playing field, empowering LPs—often high-net-worth individuals, entrepreneurs, or family offices—to analyze investments themselves using chatbots like Doubao. This has eroded trust in GPs' expertise, leading to more frequent challenges over investment decisions and even withdrawals, especially during market rallies when retail investors sometimes outperform funds. Friction arises not necessarily from AI's capabilities but from how LPs use it. Many rely on conversational AI for validation rather than rigorous analysis, sometimes receiving misleading or hallucinated advice. While AI democratizes research, effective investing still requires discerning real insight from plausible-sounding output. Ultimately, AI is unlikely to fully replace GPs. Asset management remains a trust-based service. However, the industry must adapt. The future may see "human私募" (private equity) learning from AI and focusing more on providing value beyond pure analysis—perhaps by mastering the emotional intelligence and trust-building that machines cannot replicate.

Odaily星球日报34m ago

When LPs Teach Me Investment with Doubao: A Self-Narrative of a Private Equity GP Switching Careers

Odaily星球日报34m ago

Wang Chuan: After Investing in Storage Stocks and Seeing a Thirty-Fold Return, How to Remain Unanxious (Part 7) - A Quarter-Century Cycle

Wang Chuan: Reflections on Investment Anxiety and Market Cycles After Observing a 30x Gain in a Storage Stock (Part 7) – A Quarter-Century Cycle This article examines the cyclical nature and inherent risks in technology hardware investments, using the storage and semiconductor sectors as examples. It criticizes the misleading practice of "annualized" Net Dollar Retention (NDR) rates, where short-term growth is extrapolated unrealistically. A key concept explored is "reflexivity" – demand driven by panic, exploration, and liquidity during market booms, which can vanish just as quickly when conditions reverse. This reflexivity exists both in product demand and among speculative stock buyers, creating powerful feedback loops that inflate prices during upturns and exacerbate crashes during downturns. The author highlights a major risk for hardware sectors: unlike assets with defined cycles (e.g., Bitcoin's halving), there's no guarantee of a swift recovery post-crash. Companies like Micron, Intel, and Cisco took roughly a quarter-century to surpass their 2000 highs, enduring drawdowns exceeding 80%. This is attributed to the "bullwhip effect" in supply chains, where demand collapses instantly but过剩产能 persists, and a migration of narrative-driven capital. High-valuation stories吸引 speculative funds during growth phases, but these funds quickly depart for the next hot narrative once growth slows, leaving behind stronger companies with much lower valuations. The piece warns of dangerous mental models formed during bull markets: 1) equating current strong demand with perpetual high growth, and 2) believing that making fast, large profits is easy. Citing巴菲特, the author notes that easy money undermines rationality, likening speculators to Cinderella at a ball with a clock that has no hands. The current phase presents an asymmetric risk-reward scenario: potential for further gains exists, but the downside risk is an 80%+ drawdown and a multi-decade wait for breakeven, which reflexive speculators cannot tolerate. The hypothetical investor "老王" (Lao Wang), who achieved a 30x return, is used to illustrate potential pitfalls. Leverage could lead to a wipeout during a sharp correction. Even without leverage, ingrained beliefs in easy money would likely lead him to double down after losses, expecting a quick rebound. Instead, he might face a protracted decline, depleting his resources through frantic trading as the high-growth narrative fades. The conclusion references Schopenhauer, comparing those who have seen multiple market cycles to an audience seeing the same magic trick repeatedly—once the illusion is understood, its power is gone.

marsbit56m ago

Wang Chuan: After Investing in Storage Stocks and Seeing a Thirty-Fold Return, How to Remain Unanxious (Part 7) - A Quarter-Century Cycle

marsbit56m ago

US Stocks Too Expensive? This Top CIO Scoured the Globe and Found 5 Stocks More Attractive Than NVIDIA

Summary: Main Street Research CIO James Demmert maintains his bullish 8,100 target for the S&P 500 but argues that greater opportunities now lie overseas. He identifies five international stocks with superior valuations poised to benefit from the AI revolution, suggesting international markets will outperform the US for years. Key Recommendations: 1. **ASML (Netherlands):** A foundational chip manufacturing technology provider, offering crucial AI exposure and geographic diversification. Demmert's top long-term pick. 2. **HSBC (UK/Asia):** A global bank with a 9x P/E ratio, better growth prospects than US peers like JPMorgan, and strong Asian presence. 3. **Siemens Energy (Germany):** A direct play on global power grid expansion driven by AI, crypto, and EV electricity demand. 4. **BHP Group (Australia):** A "hidden AI play" and "second derivative" of the trend due to massive copper demand for data centers. Trades at a 16x P/E. 5. **AstraZeneca (UK):** An undervalued healthcare stock with a strong pipeline (18x P/E, >20% growth), expected to benefit from AI's impact on medicine. Core Thesis: International outperformance is driven by both attractive valuations and a major policy shift. While the US tightens fiscal policy, Europe and Japan are launching unprecedented stimulus, reigniting growth. Demmert recommends allocating 45% of a portfolio internationally, citing excessive US investor conservatism as a key mistake.

marsbit1h ago

US Stocks Too Expensive? This Top CIO Scoured the Globe and Found 5 Stocks More Attractive Than NVIDIA

marsbit1h ago

Trading

Spot
Futures

Hot Articles

How to Buy ONE

Welcome to HTX.com! We've made purchasing Harmony (ONE) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Harmony (ONE) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Harmony (ONE)After purchasing your Harmony (ONE), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Harmony (ONE)Easily trade Harmony (ONE) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

3.8k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy ONE

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ONE (ONE) are presented below.

活动图片