Solana: Is 3.3K TPS strength masking SOL’s weak protocol revenue?

ambcryptoОпубликовано 2026-02-13Обновлено 2026-02-13

Введение

Solana leads in transaction throughput, processing roughly 285 million daily transactions (3.3K TPS) and three times more than Ethereum and all L2s combined. This high-volume, low-fee environment drives user engagement with 2.6 million active addresses. However, a significant portion of transactions are system-related "vote transactions," and success rates of 40-50% indicate network congestion. Despite its scale, Solana's ultra-low fees ($0.003–$0.007 per transaction) result in modest protocol revenue of approximately $622,000 daily. This is less than Tron's $948,000 and far below Ethereum's $18 million in total fees. While Solana's application layer generates $7.57 million in fees, a structural gap remains between its usage and monetary capture. Furthermore, whale activity shows signs of stress, with large SOL deposits to exchanges realizing substantial losses and creating near-term sell pressure. Solana's execution leadership accelerates ecosystem growth, but optimizing reliability and monetization remains critical for long-term value.

Transaction dominance, not price strength, now defines Solana’s [SOL] market narrative.

According to TokenTerminal data, it processes roughly three times more daily transactions than Ethereum [ETH] L1 and all L2s combined. This scale establishes Solana as a high-throughput execution leader.

Moreover, data showing roughly 285 million in daily transactions and 3,300 TPS explain this advantage. Consequently, processing and ultra-low fees structurally enable such volume.

Consequently, user engagement rises, reflected in 2.6 million active addresses. This activity strengthens Solana’s appeal for DeFi trading, payments, and high-frequency applications.

However, transaction composition matters. Vote transactions inflate totals, while true user TPS remains lower. Success rates near 40–50% also highlight congestion and bot-driven demand.

Thus, Solana’s throughput leadership accelerates ecosystem adoption and liquidity velocity, though reliability optimization remains critical for sustaining long-term network growth.

Solana’s usage vs. value

Solana’s transaction dominance does not fully translate into proportional monetary throughput. The network processes about 86 million non-vote transactions daily, yet generates roughly $622,000 in chain fees.

In contrast, Tron [TRX] produces roughly $948,000 daily despite lower activity, with stablecoin transfers driving stronger fee consistency. Solana’s ultra-low costs, averaging $0.003–$0.007 per transaction, enable massive scale but suppress protocol capture.

However, value formation shifts to the application layer. Solana records approximately $7.57 million in total fees paid, including $6.66 million from apps.

However, Ethereum exceeds this, generating about $18 million in total fees and $11.7 million in app revenue. It also captures a stronger protocol value near $107,000 through burns and MEV.

Thus, while Solana leads in execution volume and app momentum, Ethereum and Tron retain deeper monetization efficiency, highlighting a structural gap between usage scale and monetary capture.

Whale liquidation signals rising sell pressure

Despite execution leadership, economic weaknesses invite volatility. Whale behavior now reflects stress within capital positioning. The wallet deposited 60,000 SOL, worth $4.42 million, into Binance through phased transfers.

Two 30,000 SOL deposits alone totaled $4.82 million within hours. Earlier tranches—20,000, 19,900, and 1,180 SOL—pushed cumulative exchange inflows above 100,000 SOL.

This sequence followed an initial 111,945 SOL withdrawal, valued near $17.16 million, originally allocated to staking. The return flow realized roughly $9.78 million, locking in a $7.38 million loss, or about 43%. Such staged deposits often aim to reduce slippage during liquidation.

Meanwhile, loss realization at this scale introduces localized sell pressure, reinforcing defensive sentiment as SOL trades near post-drawdown ranges.


Final Thoughts

  • Solana’s transaction supremacy drives adoption and liquidity velocity, yet ultra-low fees limit protocol revenue, creating a structural gap between usage and value capture.
  • Rising whale liquidation and realized losses add near-term sell pressure, reinforcing defensive sentiment despite Solana’s expanding execution leadership.

Связанные с этим вопросы

QWhat is the main factor currently defining Solana's market narrative according to the article?

ATransaction dominance, not price strength, is currently defining Solana's market narrative.

QHow does Solana's daily transaction volume compare to that of Ethereum's L1 and all its L2s combined?

ASolana processes roughly three times more daily transactions than Ethereum L1 and all L2s combined.

QWhat is a key reason cited for Solana's low protocol revenue despite its high transaction volume?

ASolana's ultra-low transaction costs, averaging $0.003–$0.007, enable massive scale but suppress protocol revenue capture.

QWhat type of transactions are mentioned as inflating Solana's total transaction count, making the true user TPS lower?

AVote transactions inflate the total transaction count, while the true user TPS remains lower.

QWhat recent whale activity is highlighted as a signal of rising sell pressure for SOL?

AA whale deposited over 100,000 SOL into Binance in phased transfers, locking in a $7.38 million loss, which introduces localized sell pressure.

Похожее

Crypto is dead, Perps are forever

The crypto industry is shifting from a focus on creating native assets (like altcoins and protocol tokens) to becoming a "global asset pipeline." Native cryptocurrencies, except for Bitcoin, are seen as failing in their value storage and utility promises, with demand driven largely by speculation. Attention and liquidity are now moving toward real-world assets (RWAs) like U.S. stocks, bonds, gold, and oil traded on-chain via perpetual contracts (Perps). Stablecoins like USDT and USDC set the precedent, proving blockchain's core strength is efficient global settlement and transfer, not inventing new monetary systems. Meanwhile, assets like Ethereum and many DeFi tokens struggle as their narratives weaken against tangible traditional assets and the rapid real-world progress of AI. Perpetual contracts have emerged as a pivotal innovation. They simplify trading by offering pure price exposure to any asset, bypassing complexities of ownership, custody, and traditional market hours. Projects like Hyperliquid gained traction by combining CEX-like efficiency with on-chain transparency, capitalizing on post-FTX distrust, macroeconomic volatility, and the surge in demand for 24/7 stock trading. In conclusion, while the era of speculative native "crypto assets" may be over, perpetual contracts persist as the industry's most potent financial instrument—transforming all assets into globally accessible, constantly tradable instruments centered on price speculation.

marsbit2 мин. назад

Crypto is dead, Perps are forever

marsbit2 мин. назад

Tencent, Alibaba, ByteDance in a Battle for the Skill Store

Skill is becoming a key concept in the AI field, essentially serving as a structured "instruction manual" for AI Agents that specifies tool calls, decision logic, and output standards. This allows Agents to execute predefined tasks. As the number of Skills grows, distribution platforms have emerged. Major tech companies are swiftly entering this space. In March, Tencent, Alibaba, and ByteDance launched Skill stores within their respective Agent platforms. Subsequently, players like Zhipu AI, Meituan, and Xiaohongshu joined the fray. This competition for the "Skill store" is fundamentally a battle for the AI-era user entry point; whoever controls distribution controls the users. While ByteDance's Coze has experimented with paid Skills, most platforms offer them for free. The real value lies not in the stores themselves but in using them to attract and retain users within an ecosystem, driving revenue from services like cloud computing, model calls, or advertising. The landscape features three main player types: 1) **Internet giants** (e.g., Alibaba, ByteDance, Tencent, Meituan), leveraging Skills to drive traffic and monetize through their broader ecosystems (cloud services, transactions, ads). 2) **Large model companies** (e.g., Zhipu AI, Moonshot AI), using Skill stores to increase user engagement and monetize model API calls. 3) **Content platforms** (e.g., Xiaohongshu), treating Skills as a new content format to generate traffic and ad revenue. However, transforming Skill stores into a sustainable business faces significant hurdles. Key challenges include: the **difficulty in pricing Skills** due to inconsistent outputs across different models and contexts; **lack of cost transparency** (varying token consumption); **security risks** like Skill poisoning; and the **absence of standardized protocols** for development and evaluation. Unlike standardized mobile apps, Skills are often personalized workflows resistant to uniformity, which hinders the establishment of a reliable review and monetization system akin to the App Store. While there is genuine user demand for paid Skills—particularly in enterprise (e.g., contract review) and certain personal productivity scenarios—current platforms offer developers limited and unpredictable distribution. The future of Skill stores depends on overcoming these standardization, evaluation, and safety challenges to make acquiring a Skill as straightforward as downloading an app. For now, the stores function more as display shelves than robust marketplaces.

marsbit2 мин. назад

Tencent, Alibaba, ByteDance in a Battle for the Skill Store

marsbit2 мин. назад

The Crypto Scene Is Dead, Perpetual Swaps Are Eternal

The crypto industry is undergoing a fundamental shift. The era defined by minting novel, native digital assets (altcoins) is fading. These assets, lacking real-world cash flows or clear value, are losing relevance as attention and capital flow elsewhere. Two powerful external forces are reshaping the space. First, traditional assets like U.S. stocks, bonds, gold, and oil are being tokenized and traded on-chain. Second, the explosive growth of AI, with its tangible products, has overshadowed crypto's once-dominant "future narrative." This marks a critical pivot: crypto is transitioning from being a "factory for new assets" to becoming a "global conduit for existing assets." Its validated utility is not complex financial reinvention but efficient global settlement, transfer, and trading—the original promise of blockchain. Stablecoins like USDT and USDC exemplify this, offering faster dollar movement rather than replacing it. Consequently, native ecosystems like Ethereum face profound challenges. While still crucial infrastructure, ETH struggles to capture value as users interact with Layer 2s or trade traditional assets without needing to hold it. DeFi's grand narrative of rebuilding finance has narrowed to core needs like cheap transfers and deep liquidity. The true breakout innovation is the perpetual contract (Perp). It brilliantly bypasses the complexities of direct asset ownership (custody, compliance, dividends) by creating pure price exposure. Users can speculate on the price movement of *any* asset—NVIDIA, gold, oil—24/7, globally, and with leverage. This "price casino" model, while risky and ethically fraught, delivers unmatched liquidity and accessibility. Projects like Hyperliquid succeeded not by inventing new mechanics but by perfecting the timing and execution of this model. Key drivers included making on-chain Perps feel like centralized exchanges, post-FTX trust migration towards transparency, and rising demand to trade macro assets and equities round-the-clock. In conclusion, the crypto world's most enduring successes are the dollar (via stablecoins), Bitcoin, and trading. Its new frontier is not creating alternative assets but providing a seamless, perpetual trading layer—a new API—for the world's existing financial system. The age of native altcoins is over; the age of perpetual synthetic exposure has begun.

Odaily星球日报11 мин. назад

The Crypto Scene Is Dead, Perpetual Swaps Are Eternal

Odaily星球日报11 мин. назад

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

The stock price of Marvell Technology surged 32.5% on June 2nd, driven by NVIDIA CEO Jensen Huang highlighting its custom ASICs and optical interconnects as core to AI data center architecture. This event brought attention to the Chinese semiconductor family behind Marvell: the Dai siblings. The story centers on three siblings, all UC Berkeley graduates, whose three-decade entrepreneurial journey aligns with major semiconductor industry shifts. In 1995, youngest sister Dai Wei Li co-founded Marvell with her husband Sehat Sutardja and his brother, focusing on storage controllers. Eldest brother Dai Wei Min founded EDA company Ultima, later sold to Cadence, and later founded VeriSilicon (芯原) in China, becoming a leading semiconductor IP provider. Second brother Dai Wei Jin co-founded EDA firm Silicon Perspective (sold to Cadence) and GPU IP company Vivante, later acquired by VeriSilicon. The combined "Dai-Sutardja" family network extends beyond Marvell. Their ventures and investments form a comprehensive ecosystem for the post-Moore's Law, chiplet era. Key holdings include: Dream Big Semiconductor (AI SuperNICs, acquired by Arm), Alphawave (high-speed SerDes IP, acquired by Qualcomm), and Silicon Box (a chiplet advanced packaging foundry). VeriSilicon itself thrives on the AI ASIC and IP boom in China. Collectively, the family's AI infrastructure-related portfolio is estimated at over $22 billion. Their strategy represents a distinct path: building critical components for open standards and key manufacturing capacity in the chiplet era, rather than pursuing standalone AI chip dominance. While this path may not create the next NVIDIA, it has enabled repeated successful exits and sustained influence within the global semiconductor industry.

marsbit1 ч. назад

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

marsbit1 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.

1.4k просмотров всегоОпубликовано 2025.01.15Обновлено 2026.06.02

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.

2.3k 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