Solana vs. Ethereum: Assessing if SOL/ETH could reclaim 0.05 in Q2

ambcryptoPublished on 2026-03-29Last updated on 2026-03-29

Abstract

Solana has surpassed Ethereum in all-time unique developers, with 10,864 developers—nearly 20% more than Ethereum. This strong developer engagement is driving on-chain activity, as reflected in Solana’s leading DEX volumes across all timeframes. Stablecoin adoption is also accelerating, with USD1 supply surging from $160 million to $850 million in 60 days. Technically, the SOL/ETH ratio has held key consolidation around 0.04, maintaining a critical support level on weekly timeframes. With Solana’s expanding network fundamentals—including high liquidity and developer growth—a breakout above the 0.05 resistance could position SOL to outperform ETH in Q2.

A blockchain network’s long-term growth is closely tied to the size of its developer ecosystem.

The logic is simple: the more developers building on a network, the faster it churns out infrastructure upgrades. That, in turn, brings more users to the L1, boosts on-chain activity, and drives up the network’s overall value. In other words, developer engagement is the engine that powers sustainable growth.

In this context, Solana’s [SOL] recent milestone is noteworthy. As the chart below shows, Solana has now surpassed Ethereum [ETH] in all-time unique developers, leading all chains with 10,864 developers, almost 20% more than Ethereum. Notably, the effects of this growth seem to be playing out in real time.

Source: Chainspect

One way to see this is through decentralized exchange (DEX) volume, a key indicator of on-chain activity. For context, DEX volume measures how actively users are transacting within the network, giving a direct view of adoption and liquidity. Higher volumes, therefore, signal that the network is being actively used.

According to DeFiLlama, Solana’s DEX volume now outpaces all other blockchains across every timeframe. When you combine this with the surge in developer activity, it’s clear that this isn’t happening by chance. Strong developer engagement reflects solid network fundamentals, which in turn drives more on-chain usage, creating a reinforcing cycle of growth and adoption.

Against this backdrop, stablecoin adoption on Solana is starting to carry real weight. USD1 supply on the network jumped from $160 million to $850 million in just 60 days, consistently seeing $200-$300 million in daily volume. At the same time, USDC continues its minting spree on the network, fueling on-chain activity and directly complementing Solana’s rising developer engagement.

SOL/ETH under the spotlight

A high stablecoin supply and strong DEX volume together reinforce Solana’s network fundamentals.

The logic is straightforward: High on-chain liquidity enables smoother transactions, supports new applications, and attracts both developers and users, creating a feedback loop that strengthens the overall ecosystem. In this context, SOL’s undervaluation versus ETH comes back into focus.

From a technical perspective, this aligns with price action. Since dropping below 0.05 after last October’s crash, the SOL/ETH ratio has struggled to reclaim that level. With network activity continuing to expand, a breakout past this key resistance zone could set the stage for Solana’s technical outperformance.

Source: TradingView (SOL/ETH)

On the bullish note, the ratio has been consolidating around 0.04.

Why does this matter? On the weekly timeframe, the SOL/ETH ratio hasn’t once closed below this range, reinforcing the strength of this support zone. According to AMBCrypto, this is where Solana’s edge over Ethereum in developer count comes into play, as this advantage is directly feeding into SOL’s network strength relative to ETH.

If this trend holds, it could pave the way for a breakout, positioning SOL to outperform ETH in Q2.


Final Summary

  • Solana now leads Ethereum in all-time unique developers, driving on-chain activity, DEX volume, and stablecoin adoption.
  • The SOL/ETH ratio is holding key support around 0.40, and combined with Solana’s growing network activity, a breakout could position SOL to outperform ETH.

Related Questions

QWhat key metric does Solana now lead Ethereum in, according to the article?

ASolana now leads Ethereum in all-time unique developers, with 10,864 developers, which is almost 20% more than Ethereum.

QWhat is the significance of high DEX volume and stablecoin supply for a blockchain network?

AHigh DEX volume indicates active user transactions and on-chain activity, while a high stablecoin supply provides liquidity. Together, they reinforce network fundamentals by enabling smoother transactions, supporting new applications, and attracting developers and users, creating a positive feedback loop for ecosystem growth.

QWhat is the critical support level for the SOL/ETH ratio mentioned in the analysis?

AThe critical support level for the SOL/ETH ratio is around 0.04, as it has not closed below this range on the weekly timeframe, indicating a strong support zone.

QWhat recent milestone in stablecoin adoption on Solana is highlighted as evidence of its growing network strength?

AThe supply of USD1 on Solana jumped from $160 million to $850 million in just 60 days, with daily volumes consistently ranging between $200-$300 million, demonstrating significant growth in stablecoin adoption.

QBased on the article's analysis, what could a breakout above the key resistance zone mean for SOL's performance against ETH?

AA breakout past the key resistance zone (reclaiming the 0.05 level) could set the stage for Solana's technical outperformance, potentially positioning SOL to outperform ETH in Q2, especially given its strong developer engagement and network activity.

Related Reads

Gary Yang: Agent Economy and AI Submicroeconomics

**Title:** Agent Economy and AI Sub-Microeconomics - Gary Yang **Summary:** Following the AI singularity, the pace of evolution has accelerated rapidly, creating new generational disparities in technological advancement globally. While many regions are still grappling with single-agent bottlenecks, Silicon Valley has moved ahead into the next dimension: the Agent Economy and A2A ecosystems. The article outlines six key areas of this emerging paradigm: 1. **AI Payment Competition & H2A Bottlenecks:** A fierce battle for AI Agent payment protocol standards is underway (e.g., MPP, x402). However, most current efforts remain Human-to-Agent (H2A), essentially grafting AI onto traditional human-centric commerce, which creates a non-AI-native bottleneck. The true potential lies in Agent-to-Agent (A2A) autonomous economies. 2. **Agent Economy & the Inevitable A2A Trend:** The Agent Economy is defined by autonomous AI Agents creating, exchanging, and capitalizing value as independent economic actors. The A2A ecosystem describes their interactions. This represents the next major investment frontier, akin to the early days of e-commerce or DeFi, but with faster iteration and an AI-native, efficiency-first perspective that often diverges from human needs. 3. **AI Protocol vs. Crypto Protocol:** AI Protocols are the foundational rules for Agent interaction in an open network (communication, discovery, collaboration), akin to the governance and economic laws of the AI world. Currently, they focus on communication and weak boundaries, unlike Crypto Protocols which emphasize asset rights and clear ownership. While they appear different due to political-economic factors and legacy system constraints, their eventual convergence into a unified Digital Protocol system is seen as inevitable, driven by first principles. 4. **AI Agent Sub-Microeconomics & Biological Analogy:** AI Agent economics differ fundamentally from human economics: higher frequency/lower value transactions, energy/value direct correlation, efficiency-driven (not emotional) decisions, task-oriented (not consumption-oriented) behavior, and near-zero organizational/communication costs. A powerful analogy frames the Agent economy as a biological system: the LLM is the nucleus, the Agent harness is the cytoplasm, the Agent itself is a cell, its communication protocol is the cell membrane, and external tools (Skills, Prompts) are the extracellular environment. 5. **The Inevitability of AIFi & FinChip:** AIFi (AI Finance) represents the financial system where AI-native value within the Agent economy is tokenized and exchanged. Unlike TradFi/DeFi where value resides *in* finance, in AIFi, value originates *in* AI, and finance becomes its form. This shift is enabled by Agents taking over value discovery. FinChip (Financial Chip) is introduced as a key infrastructure—a fusion of AI autonomy and crypto smart contracts—forming intelligent financial assets to power the future A2A economy. 6. **AI-Native as a Paradigm Shift:** Adopting AI is not akin to "Internet+". It requires AI-Native thinking—designing systems based on first principles, the shortest energy-value path, and maximum efficiency. This abstract, counter-intuitive logic poses a significant, ongoing challenge for all practitioners, as effective, generalized upgrade methodologies will be slow to emerge in this rapidly evolving landscape.

链捕手41m ago

Gary Yang: Agent Economy and AI Submicroeconomics

链捕手41m ago

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

From "The Big Short" to San Francisco: The Frenzy and Dizziness in the AI Bubble The article captures the intense, frenetic atmosphere in San Francisco, the epicenter of the current AI boom. Drawing a parallel to the "smell of money" from *The Big Short*, the author observes a city gripped by a singular status game centered entirely on AI and technology. This manifests in a palpable, caffeine-fueled anxiety ("people are shaking"), rampant comparison using vanity metrics like funding rounds, and pervasive "Big Bubble Behavior." The piece explores the city's stark contrasts: its dystopian streets versus beautiful vistas, and the disconnect between the doomsday concerns of some AI researchers and the optimistic, growth-focused "GTM" teams. It critiques the obsession with "math genius" founders as the new ticket to outsized returns, akin to scouting sports prodigies. Referencing economic historian Carlota Perez's "frenzy phase" and Karl Polanyi's "double movement," the author frames the boom as a period where financial speculation detaches from fundamentals, with society potentially becoming subordinate to a new economic force driven by "geniuses in data centers." Ultimately, while acknowledging the unprecedented wealth creation and party-like energy, the article concludes with cautionary advice: when the music is playing, you should dance, but don't get drunk. The core reminder is to stay grounded, avoid distorted judgment, and maintain perspective amidst the euphoria.

marsbit42m ago

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

marsbit42m ago

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbit1h ago

Is AI Creating a New Class of 'Information Poor'?

marsbit1h ago

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbit2h ago

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbit2h ago

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit2h ago

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit2h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片