Ethereum Sees Spike In Daily Transactions While Price Momentum Gradually Fades

bitcoinistОпубликовано 2026-04-14Обновлено 2026-04-14

Введение

Ethereum's daily transactions have reached a record high of over 3.6 million, marking the strongest on-chain activity in the network's history, despite ETH's price volatility and a 55% drop from its all-time high. This divergence between robust network engagement and struggling price action suggests underlying fundamental strength that may not yet be reflected in valuation. Reports indicate Ethereum is thriving as a settlement layer for on-chain finance, with stablecoin supply hitting a new all-time high of over $180 billion—a 150% increase in three years. Ethereum currently holds a 60% market share in stablecoins, with projections suggesting it could secure nearly $850 billion in new stablecoin supply by 2030.

Ethereum network activity is not being influenced or shaped by the current price action of the altcoin, which has been steadily battling with volatility. Even as the price of ETH has fallen sharply from its new peak, user activity on the leading blockchain network is experiencing robust growth, with more operations being carried out on a daily basis.

Rising On-Chain Activity Contrasts With Declining Price

In a highly uncertain and volatile cryptocurrency environment, the Ethereum network appears to be thriving, experiencing robust interest and engagement. ETH’s current network strength is evident, particularly in the number of transactions processed on the blockchain each day.

The daily transaction counts on the network have exploded while price action continues to struggle to regain bullish momentum. This mismatch between market performance and fundamentals often indicates underlying strength that may not yet be represented in valuation.

Reports from Everstake, the largest global non-custodial staking infrastructure provider, revealed that the Ethereum network is making history, recording over 3.6 million transactions on April 12, 2026. As of today, this figure marks the strongest daily activity on the network since its existence.

What makes this quite interesting is the fact that ETH’s price is still trading about 55% below its all-time high. The increase in on-chain activity indicates that consumers are still actively participating in the network despite the lack of price change.

Source: Chart from Everstake on X

EverstaKe added that this trend creates a notable divergence because network activity is at peak levels in the absence of complete price strength. In the past, such gaps have demonstrated a tendency to narrow over time.

Adding to the network growth, the platform highlighted that Ethereum is now one of the strongest foundations it has ever had. Since choosing ETH, there have been record levels of usage, a deeply established ecosystem, and continued progress in scaling and development.

In many ways, this progress highlights a simple dynamic where price typically follows fundamentals, not the other way around. Meanwhile, Everstake stated that the fundamentals are already in place.

Ethereum Sees Stablecoin Supply Peak

As the financial sector grows, the Ethereum network is steadily emerging as the major settlement layer for on-chain finance activity. The stablecoin supply managed on the leading network is rising at a significant rate over the years.

In an X post, Leon Waidmann, a researcher and optimist, shared that stablecoin supply on ETH has reached a new all-time high. Data shows over $180 billion has been added to the network over the past 3 years, representing a 150% increase within the period.

Currently, Ethereum controls about 60% market share in stablecoins. In the next 4 years, an additional $1.7 trillion is set to go on-chain, and ETH could dominate this revenue. Even if Ethereum’s market share eventually drops from 60% to 50%, it still means that by 2030, the ETH network will secure almost $850 billion in new stablecoin supply.

ETH trading at $2,371 on the 1D chart | Source: ETHUSDT on Tradingview.com

Связанные с этим вопросы

QWhat is the current trend in Ethereum's daily transaction count despite its price volatility?

AEthereum's daily transaction count is experiencing robust growth and has reached a record high, with over 3.6 million transactions on April 12, 2026, even as its price struggles with volatility.

QAccording to the article, what does the mismatch between Ethereum's market performance and its fundamentals often indicate?

AThe mismatch between market performance and fundamentals often indicates an underlying strength in the network that may not yet be reflected in its valuation.

QWhat significant milestone did the stablecoin supply on the Ethereum network achieve, as mentioned in the article?

AThe stablecoin supply on the Ethereum network reached a new all-time high, with over $180 billion added over the past 3 years, representing a 150% increase.

QWhat is Ethereum's current market share in the stablecoin sector, and what is its projected share of new supply by 2030?

AEthereum currently controls about 60% of the stablecoin market share. It is projected that by 2030, the network could secure almost $850 billion in new stablecoin supply, even if its market share drops to 50%.

QWhich company reported the record-breaking transaction count on the Ethereum network and highlighted the divergence between network activity and price?

AEverstake, the largest global non-custodial staking infrastructure provider, reported the record transaction count and highlighted the divergence between peak network activity and the lack of complete price strength.

Похожее

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

Nvidia's recent announcement to issue at least $20 billion in senior notes, despite holding a strong cash position with over $48.6 billion in free cash flow last quarter, is not a sign of financial need. Instead, it represents a strategic move to leverage its high credit rating (recently upgraded to AA by S&P) to secure low-cost, long-term debt. This capital will support long-term AI infrastructure investments, data centers, R&D, supply chain prepayments, and strategic investments, while allowing the company to continue aggressive shareholder returns through stock buybacks and dividends. The decision reflects a mature capital management strategy: using debt to finance long-term growth assets is more efficient and less dilutive to shareholders than equity financing. It signals that Nvidia, like other tech giants (Alphabet, Meta, Amazon), is entering a new phase of heavy AI capital expenditure, shifting from a pure growth story to a story about capital allocation, credit strength, and long-term ecosystem positioning. The key question for investors is whether Nvidia can maintain its high cash flow generation and ensure that returns from these AI investments justify the cost of capital over the long term. The bond issuance amplifies its expansion capabilities but also ties its valuation more closely to the broader AI investment cycle's sustainability and profitability.

marsbit10 мин. назад

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

marsbit10 мин. назад

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.

marsbit1 ч. назад

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

marsbit1 ч. назад

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

On June 15th, shares of Zhipu AI surged dramatically on the Hong Kong stock market, peaking at a 47.6% gain before closing 32.82% higher. This sharp increase was directly triggered by two recent industry events. On June 12th, Anthropic announced it was suspending global access to its latest flagship models, Claude Fable 5 and Claude Mythos 5, to comply with a U.S. government export control order. The next day, Zhipu AI announced it would open access to its latest open-source flagship model, GLM-5.2, under the permissive MIT license. The Anthropic incident highlighted a critical issue beyond raw model capability: the risk of sudden, unpredictable loss of access to advanced AI models, especially for developers and enterprises deeply integrated with them. This has shifted industry and market focus toward factors like stability, sustainable access, and controllability. Zhipu's move, promoting "frontier intelligence for all," positions its openly available model as a reliable and accessible alternative. The GLM-5.2 model emphasizes "Long Horizon Task" capabilities with a 1M context window, targeting complex, multi-step coding and engineering workflows where maintaining context is crucial. Analysts note this event exposes the risk of dependency on closed-source models subject to single jurisdictional controls, potentially accelerating a shift toward domestic base models and localized deployments. The market's reaction signals a new valuation dimension in AI: providers who can offer stable, long-term, and sustainably accessible AI capabilities are gaining strategic importance.

marsbit2 ч. назад

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

marsbit2 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Manyu - это мемтокен на Ethereum, который приносит децентрализованную культурную и развлекательную ценность через вирусное влияние в соцсетях и вовлечённость сообщества.

2.0k просмотров всегоОпубликовано 2025.11.27Обновлено 2025.11.27

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

Ordinals/Runes по-прежнему стимулируют доходы от комиссий за блоки и активность разработчиков, рассматриваются как отправная точка «нативной эмиссии активов» в сети.

1.5k просмотров всегоОпубликовано 2026.04.29Обновлено 2026.04.29

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на ETH (ETH) представлены ниже.

活动图片