Ethereum Nearing A Turning Point? Supply-Demand Structure Suggest A Shift Is Coming In 2026

bitcoinistPubblicato 2025-12-31Pubblicato ultima volta 2025-12-31

Introduzione

Ethereum is struggling to reclaim the $3,000 level amid persistent selling pressure and weak market sentiment. According to a CryptoQuant report, ETH is in a late-stage bearish phase, transitioning toward range-bound trading with slower, more methodical distribution rather than panic selling. Despite price weakness, on-chain data shows improvement: ETH is leaving exchanges at the fastest pace this cycle, likely due to increased staking and long-term holding. The validator queue now has more ETH waiting to enter staking than to exit, indicating tightening medium-to-long-term supply. While ETF flows remain negative, network activity is resilient, with record smart contract deployments and growing real-world asset value on-chain. The data suggests ongoing price pressure but gradual structural improvement, with a potential shift expected by 2026.

Ethereum is once again struggling to regain the $3,000 level, highlighting the fragile state of the market as selling pressure continues to weigh on price action. After multiple failed attempts to push higher, ETH remains locked below key resistance, reflecting broad uncertainty and a lack of conviction among both traders and long-term investors.

Market sentiment has deteriorated sharply, with apathy and fear dominating positioning as participants remain hesitant to deploy fresh capital. Rather than aggressive capitulation, the current environment points to exhaustion and indecision, a common feature of late-cycle corrective phases.

According to a recent report by XWIN Research Japan on CryptoQuant, Ethereum is now in a late-stage bearish phase that appears to be transitioning into a more range-bound structure. While bearish pressure still dominates the broader trend, the nature of selling activity is changing.

Instead of sharp, panic-driven sell-offs, the market is experiencing slower, more methodical distribution, suggesting that many weak hands may have already exited. This shift often marks a critical inflection point, where volatility compresses, and price stabilizes within a defined range.

Ethereum’s On-Chain Structure Improves As Price Weakness Persists

While Ethereum continues to struggle below key resistance levels, on-chain indicators suggest that the underlying market structure may be gradually improving. Data shows ETH leaving exchanges at the fastest pace of this cycle, a move increasingly associated with self-custody, staking, and long-term holding rather than short-term trading activity.

This shift is reinforced by validator queue dynamics: for the first time in six months, the entry queue has surpassed the exit queue, with roughly 745,000 ETH waiting to be staked versus around 360,000 ETH queued for withdrawal. The imbalance points to renewed staking participation and a tightening medium- to long-term supply profile.

Additional context comes from the 90-day Spot Taker CVD, which indicates a transition away from strongly sell-dominant conditions toward neutral to mildly positive pressure. Although this does not imply an immediate price rebound, it suggests that aggressive selling is beginning to lose intensity.

Ethereum Spot Taker CVD | Source: CryptoQuant

That said, Ethereum ETF flows remain negative on both daily and weekly timeframes, signaling that institutional demand via financial products continues to weigh on price action.

Beyond market flows, Ethereum’s network activity remains resilient. Deployed smart contracts reached a record 8.7 million in Q4 2025, while on-chain real-world asset value expanded to approximately $19 billion, led by Ethereum. These trends indicate that usage-driven demand remains intact despite weak sentiment.

The data support a scenario of ongoing price pressure alongside gradual structural improvement. This assessment would weaken if exchange balances rise again or sell-side flows regain dominance.

Domande pertinenti

QWhat is the current market sentiment for Ethereum according to the article?

AMarket sentiment has deteriorated sharply, with apathy and fear dominating positioning as participants remain hesitant to deploy fresh capital.

QWhich research firm's report is cited in the article, and what phase does it say Ethereum is in?

AThe report is by XWIN Research Japan on CryptoQuant, and it states that Ethereum is in a late-stage bearish phase that appears to be transitioning into a more range-bound structure.

QWhat on-chain data suggests an improvement in Ethereum's underlying market structure despite price weakness?

AData shows ETH leaving exchanges at the fastest pace of this cycle, and the validator entry queue has surpassed the exit queue for the first time in six months, indicating a shift toward self-custody, staking, and long-term holding.

QWhat does the 90-day Spot Taker CVD indicate about the current selling pressure?

AThe 90-day Spot Taker CVD indicates a transition away from strongly sell-dominant conditions toward neutral to mildly positive pressure, suggesting that aggressive selling is beginning to lose intensity.

QWhat two metrics are provided as evidence that Ethereum's network activity remains resilient?

ADeployed smart contracts reached a record 8.7 million in Q4 2025, and on-chain real-world asset value expanded to approximately $19 billion, led by Ethereum.

Letture associate

The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

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The Value Distribution of Stablecoins

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The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

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The Value Distribution of Stablecoins

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How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

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How to Do Research Well: Deliberately Practice the Real Skills That Matter

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