Here’s Why Ethereum Is Gaining Recognition As The Core Settlement Layer For On-Chain Finance

bitcoinistОпубликовано 2026-04-25Обновлено 2026-04-25

Введение

Ethereum is increasingly recognized as the core settlement layer for on-chain finance, driven by a significant surge in network activity and stablecoin transfer volumes. Since early 2026, stablecoin transfers on Ethereum have increased by over 119.3%, with volumes consistently ranging between $500 billion and $900 billion and occasionally peaking at $1 trillion. This growth underscores Ethereum's capacity to handle large-scale financial transactions and reinforces its role in bridging traditional finance with blockchain infrastructure. Concurrently, Ethereum's price is at a critical juncture, trading near its Realized Price of $2,340—a historically significant level that has acted as a support floor for macro expansions. While the price recently dipped to $2,314, analysts suggest that holding above this level could signal a transition into a high-conviction bullish phase.

As excitement swirls in the community following the recent upswing in Ethereum’s price, the on-chain narrative of the leading blockchain network is undergoing a deeper, major shift. Activity on the network is currently spiking at a significant rate, reinforcing its position as the backbone for value exchange on-chain.

Ethereum’s Core Settlement Layer Status Strengthens

With notable activity, the Ethereum network is once again demonstrating its dominance in value exchange on-chain. A recent report shows that Ethereum is rapidly becoming the core settlement layer in the digital economy.

This status is being reinforced by the substantial growth in the amount of stablecoin on the network. According to Everstake, a leading global non-custodial staking infrastructure provider, ETH is sending a strong signal through its massive stablecoin activity.

Since the beginning of 2026, the stablecoin transfer volume on the network has spiked by over 119.3%, which underscores its capacity to handle intricate financial transactions on a large scale. Currently, billions in value are being moved daily and weekly across the network through dollar-pegged tokens.

Source: Chart from Everstake on X

Data shared by Everstake reveals that stablecoin transfer volumes on Ethereum are consistently in the $500 billion and $900 billion range. Meanwhile, peak levels are recorded at a staggering $1 trillion. As a result, Everstake declares that such dynamics strengthen the network’s role as a core settlement layer, bridging traditional systems with blockchain infrastructure.

As stablecoin usage continues to expand on the ETH network, this narrative is becoming more firmly established. Furthermore, the platform added that this stablecoin growth is increasingly shifting towards a structural narrative rather than a cyclical one.

ETH’s Price At One Of Its Most Critical Moments Yet

After a period of upside performance with the price of Ethereum nearing the $2,400 mark, the altcoin is now positioned at one of its most crucial junctions yet. In a post on the social media platform X, Ali Charts, a trader and market expert, shared that ETH is testing a critical level that could serve as the catalyst for more upward movement. Based on historical data, this level has separated the markets from macro expansions.

At the time of the post, ETH’s price was trading around its Realized Price at $2,340, which represents the average cost basis for all on-chain investors. Historically, the Realized Price has acted as a distribution wall where investors look to break even, making this a key moment in Ethereum’s current journey.

ETH trading around this level appears to be a bullish signal. Ali Charts noted that when the Realized Price is successfully turned into a support floor, the altcoin typically transitions into high-conviction expansion phases.

At the time of writing, the ETH price was trading at $2,314 after dropping by nearly 2% in the last 24 hours. This bearish performance has impacted its trading volume, which has fallen by more than 12% over the past day.

ETH trading at $2,312 on the 1D chart | Source: ETHUSDT on Tradingview.com

Связанные с этим вопросы

QWhat is the main reason Ethereum is being recognized as the core settlement layer for on-chain finance?

AThe substantial growth in stablecoin transfer volume on the Ethereum network, which has spiked by over 119.3% since the beginning of 2026, underscores its capacity to handle intricate financial transactions on a large scale and reinforces its role as a core settlement layer.

QAccording to the report from Everstake, what is the typical range for stablecoin transfer volumes on Ethereum?

AStablecoin transfer volumes on Ethereum are consistently in the $500 billion to $900 billion range, with peak levels recorded at a staggering $1 trillion.

QWhat critical price point was Ethereum testing at the time of the article, and why is it significant?

AEthereum was testing its Realized Price at $2,340, which represents the average cost basis for all on-chain investors. Historically, this level has acted as a distribution wall and, if turned into a support floor, typically leads to high-conviction expansion phases.

QHow has the recent price movement of Ethereum affected its trading volume?

AAfter dropping by nearly 2% in the last 24 hours, Ethereum's trading volume fell by more than 12% over the past day.

QWhat does the shift in stablecoin growth on the Ethereum network indicate, according to the platform mentioned?

AThe platform added that the stablecoin growth is increasingly shifting towards a structural narrative rather than a cyclical one, meaning it is becoming a more permanent and foundational aspect of the network's economy.

Похожее

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit1 ч. назад

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit1 ч. назад

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit2 ч. назад

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit2 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.2k просмотров всегоОпубликовано 2025.01.15Обновлено 2025.03.21

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.2k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

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 S (S) представлены ниже.

活动图片