Solana vs Ethereum – $4.4T traded, RWA holders flipped – But who wins?

ambcryptoОпубликовано 2026-03-08Обновлено 2026-03-08

Введение

Solana's trading activity has surged over three years, accumulating $4.4 trillion in total volume. Weekly trading, once below $10 billion, grew significantly in 2024, often reaching $20–40 billion and briefly spiking to $120–130 billion during memecoin-driven speculation. It has since stabilized around $12–15 billion, reflecting sustained retail demand due to its low-fee structure. In Real World Assets (RWA), Solana surpassed Ethereum in holder count (154,942 vs. 153,592), indicating broader retail accessibility. However, Ethereum leads in RWA value ($15.45B vs. $1.79B), maintaining its role as the institutional hub. Despite high trading volume, Solana's liquidity is thinner (0.4 liquidity-to-volume ratio vs. Ethereum’s 4.57), making it efficient for small trades but challenging for large orders. It benefits from $15.4B in stablecoin supply and high throughput with minimal fees. Ethereum retains a structural advantage with deeper liquidity and institutional settlement capabilities.

Solana’s trading activity has expanded sharply over the past three years, accumulating roughly $4.4 trillion in total token trading volume.

Early periods showed modest weekly activity, often remaining below $10 billion. This phase reflected the network’s early adoption stage.

However, momentum accelerated through 2024 as weekly turnover climbed steadily. Activity frequently moved into the $20–$40 billion range.

That shift signaled rising participation across decentralized trading venues and memecoin ecosystems built on Solana.

Later, volatility intensified as several weeks recorded dramatic surges. At the peak, trading volume briefly reached about $120–$130 billion.

These spikes aligned with speculative bursts and memecoin-driven liquidity cycles across the Solana ecosystem.

Yet the surge proved temporary, and activity cooled afterward. Weekly volumes gradually compressed, indicating that speculative enthusiasm faded while core usage persisted.

As of press time, the network generated roughly $12–$15 billion in weekly trading volume. This level remains significantly higher than early-cycle activity.

Thus, the trajectory reveals a hybrid structure.

Speculative spikes amplify short-term volume, while stabilized baselines suggest that Solana’s low-fee architecture continues attracting persistent retail trading demand.

Solana overtakes Ethereum in RWA holders

As Solana’s [SOL] trading activity expands, tokenized RWAs provide another lens into how its ecosystem is evolving beyond speculative markets.

Participation data begins to reveal shifting adoption dynamics across major networks.

Ethereum [ETH] still leads in capital concentration, securing roughly $15.45 billion in RWAs across 675 assets. This scale reflects strong institutional issuance and established financial integrations.

However, wallet distribution presents a different perspective.

Solana recorded roughly 154,942 RWA holders, slightly exceeding Ethereum’s 153,592 holders. This crossover suggested broader retail accessibility within Solana’s infrastructure.

At the same time, Solana’s total RWA value remained lower at around $1.79 billion, indicating an earlier stage of capital deployment.

Elsewhere, participation declines sharply.

BNB Chain [BNB] hosts roughly 39,218 holders, while Polygon records about 15,482 users.

Taken together, the structure suggests Ethereum remains the institutional hub, while Solana increasingly functions as a retail gateway for tokenized financial assets.

Volume surge test Solana’s liquidity resilience

Solana’s trading surge signals strong activity, yet underlying liquidity reveals a more complex structure.

DeFiLlama data showed $6.53 billion in TVL supporting $14.96 billion in weekly DEX volume. This produces a 0.4 liquidity-to-volume ratio, far thinner than Ethereum’s 4.57 benchmark.

As a result, smaller trades execute with minimal slippage, reinforcing Solana’s appeal among retail traders.

However, larger orders still encounter shallow depth, where price impact rises quickly during demand spikes.

On top of that, roughly $15.4 billion in stablecoin supply supported more than 60% of trading pairs.

This stablecoin liquidity helped maintain continuous market activity across Solana-based exchanges.

Meanwhile, the network processed roughly 3.4K transactions per second while Average Transaction Fees stayed below $0.00025.

Yet Ethereum preserves a structural edge through $160 billion in stablecoins and expanding RWA liquidity, suggesting a layered market where Solana drives trading velocity while Ethereum anchors institutional settlement.


Final Summary

  • Solana continues attracting strong retail trading activity as weekly volumes stabilize near $15 billion, though liquidity depth remains thinner than Ethereum’s institutional capital base.
  • Ethereum retains structural dominance through deeper stablecoin and RWA liquidity.

Связанные с этим вопросы

QWhat was the peak weekly trading volume reached on Solana, and what was the primary driver behind such spikes?

AThe peak weekly trading volume on Solana briefly reached about $120–$130 billion. These spikes aligned with speculative bursts and memecoin-driven liquidity cycles across the Solana ecosystem.

QWhich blockchain currently has more holders of Real World Assets (RWA), and what does this suggest about its user base?

ASolana currently has more RWA holders with roughly 154,942, slightly exceeding Ethereum's 153,592. This suggests broader retail accessibility within Solana’s infrastructure, while Ethereum remains the institutional hub.

QHow does Solana's liquidity-to-volume ratio compare to Ethereum's, and what are the implications for traders?

ASolana has a liquidity-to-volume ratio of 0.4, which is far thinner than Ethereum’s benchmark of 4.57. This means smaller trades on Solana execute with minimal slippage, appealing to retail traders, but larger orders encounter shallow depth and greater price impact during demand spikes.

QWhat is the current approximate weekly trading volume on Solana, and how does it compare to its early activity?

AAs of press time, Solana generates roughly $12–$15 billion in weekly trading volume. This level remains significantly higher than its early-cycle activity, which often remained below $10 billion weekly.

QWhat key advantage does Ethereum maintain over Solana according to the final summary of the article?

AAccording to the final summary, Ethereum retains structural dominance through deeper stablecoin and RWA liquidity, anchoring institutional settlement.

Похожее

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit10 ч. назад

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit10 ч. назад

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit11 ч. назад

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit11 ч. назад

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit12 ч. назад

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit12 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

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 SOL (SOL) представлены ниже.

活动图片