Hyperliquid leads Solana and Ethereum in fees – What it means for HYPE

ambcryptoPublished on 2026-01-19Last updated on 2026-01-19

Abstract

Hyperliquid [HYPE] has recently led all major blockchain networks, including Solana and Ethereum, in both fees and trading volume over a 24-hour period, according to Artemis data. This indicates strong user demand, as fees are only incurred during transactions. Additionally, Hyperliquid network has recorded the highest weekly perpetual DEX trading volume and open interest, suggesting sustained trader engagement. While competitors like Lighter have seen a decline in activity, Hyperliquid’s liquidity and consistent participation have made it a central player in the perps market. The question remains whether this momentum can be sustained and positively impact the price of its native token, HYPE.

Hyperliquid [HYPE] is back! In the past 24 hours, it topped all chains by fees and trading volume. Zoom out, and it’s leading weekly perps readings too!

Can this push be a mainstay and help push native token price?

A standout moment

In the last day, Hyperliquid topped every major network by fees and volume, per Artemis data. The network pulled ahead of established names like Solana [SOL], TRON [TRX], and Ethereum [ETH].

Since fees are paid only when users transact, there’s real demand too.

Hyperliquid is at the top of the perps race

Over the past seven days, Hyperliquid has recorded the highest perpetual DEX trading volume, pulling ahead of its rivals.

The chart shows the network leading both Weekly Volume and Open Interest, which clearly means traders are keeping positions open.

In contrast, Lighter’s [LIGHTER] volumes have dropped while its airdrop distribution plays out, with weekly activity down nearly three times from its peak.

Looks like traders are rotating back toward platforms with liquidity and consistent participation. That’s perhaps why Hyperliquid is back at the center of the perps market.

Related Questions

QAccording to the article, which blockchain led in fees and trading volume in the past 24 hours?

AHyperliquid [HYPE] led all chains in fees and trading volume in the past 24 hours.

QWhat does the article suggest is the reason for Hyperliquid's high fee generation?

AThe high fees indicate real demand, as fees are only paid when users transact on the network.

QHow does Hyperliquid's weekly perpetual DEX trading volume compare to its rivals?

AOver the past seven days, Hyperliquid has recorded the highest perpetual DEX trading volume, pulling ahead of its rivals.

QWhat two key metrics does the article mention that Hyperliquid is leading in for the weekly perps readings?

AThe article states that Hyperliquid is leading in both Weekly Volume and Open Interest for perpetual trading.

QWhy does the article suggest traders are rotating back to platforms like Hyperliquid?

ATraders are rotating back towards platforms with liquidity and consistent participation, which Hyperliquid offers.

Related Reads

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

In May 2026, China's national ministries released two pivotal policy documents that jointly establish a strategic "dual-track" framework for the AIoT industry. The "Intelligent Agent Standardized Application and Innovation Development Implementation Opinions" defines the "soul"—positioning intelligent agents as core AI products. The "Artificial Intelligence Terminal Intelligence Grading" national standard defines the "body"—establishing a four-tier capability ladder (L1 to L4) for AI hardware. This synchronized policy approach is globally unique, moving beyond market-led (US) or risk-focused (EU) models. It frames AIoT as a new type of "intelligent infrastructure," comparable to electricity or the internet in historical significance. The core analysis identifies a value evolution from IoT 1.0 (connection) to AIoT 4.0 (collaboration, represented by the forward-looking L4 level). This "L4" signifies a paradigm shift: from users operating tools to delegating tasks to agent-like devices ("Intelligent Action of All Things"). The article outlines three strategic paths for companies: becoming Standard Definers, Scenario Integrators (focusing on 19 specified application areas), or Infrastructure Builders. A critical 18-24 month window is identified for strategic positioning. A "Four Levers" strategy is proposed: leveraging Standards (L-level certification), leveraging Scenarios (deep vertical focus), leveraging Open Source (for cost reduction and ecosystem influence), and leveraging Momentum (engaging in global protocol ecosystems). In conclusion, these policies are a starting gun for a decade-long industrial transformation, shifting the industry narrative from "Intelligent Connection of All Things" to "Intelligent Action of All Things," with companies needing to choose their赛道and execution strategy decisively.

marsbit42m ago

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

marsbit42m ago

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

On May 11th, OpenAI announced the formation of a new company, "OpenAI Deployment Company," with an initial investment of over $4 billion (approximately 27.2 billion RMB). This venture aims to help businesses build and deploy AI solutions. OpenAI is also acquiring the AI consulting firm Toromo to rapidly scale the deployment company's capabilities. This new entity, majority-owned by OpenAI, brings together 19 investment, consulting, and system integration partners, led by TPG with co-lead founding partners including Advent International, Bain Capital, and Brookfield. OpenAI's Chief Revenue Officer, Denise Dresser, stated that while AI is becoming increasingly capable, the current challenge lies in integrating these systems into core business infrastructure and workflows. The deployment company is designed to bridge this gap and translate AI capabilities into operational impact. This move comes as OpenAI emphasizes the next competitive phase will depend on the efficiency of deploying AI in real business scenarios. The company reports over 1 million businesses already use its products and APIs. OpenAI is significantly increasing its investments in computing power, with co-founder Greg Brockman stating the company expects to spend $50 billion on compute this year, a dramatic increase from $3 million in 2017. The announcement follows OpenAI's recent completion of a record $122 billion funding round in late March, led by Amazon, Nvidia, and SoftBank, valuing the company at $852 billion post-money. Major strategic investors committed $110 billion as a base for this round. Concurrently, OpenAI is advancing its core model development. It has shifted focus from its Sora video generator to developing advanced robotics and AI models that interact with the physical world. It has also begun allowing select users access to a new model specialized in identifying software vulnerabilities and is reportedly preparing to launch an enhanced image generation model in the coming weeks. According to reports citing founder Sam Altman, OpenAI is considering an IPO as early as 2027, with a potential valuation around $1 trillion.

marsbit58m ago

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

marsbit58m 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