Hyperliquid’s market share surges to 33% – Can HYPE target $36 next?

ambcryptoPublicado a 2026-01-31Actualizado a 2026-01-31

Resumen

Hyperliquid's market share surged from 18% in December to 33% by the end of January, driven by the introduction and success of its equity and commodity perpetuals (perps). Non-crypto assets, such as silver and gold, now account for 30% of the platform's trading volume, positioning it as a key cross-asset trading platform. This growth has positively impacted the native token HYPE, with increased trading volume generating higher fees, which fuel token buybacks and burns. Weekly revenue rose from $11 million to $15.5 million, and HYPE's price increased by 70%. Maintaining support above $28 could lead to a breakout toward $36, while a drop below may push it back to the $20-$28 range.

Hyperliquid [HYPE] has regained a portion of the market share it lost in 2025 following heated competition from Aster [ASTER], Lighter [LIT], and other rivals.

According to Dune data, the platform’s market dominance rose from a recent low of 18% seen in December to over 33% at the end of January.

That’s a 15% jump in market share, thanks to booming equity perpetuals (perps) that have positioned it as a key cross-asset platform.

How equity perps fueled Hyperliquid’s growth

Hyperliquid was initially focused on crypto perps or derivatives that allow traders to speculate on prices with leverage.

They are called perpetuals because they don’t expire with strict deadlines like Options, so one can hold them indefinitely, provided they pay fees to keep the positions open.

The platform unveiled a similar offering for equity and commodities via an upgrade, HIP-3, enabled by third-party integrations.

Interestingly, the recently volatile precious metals market has cemented Hyperliquid as a crucial cross-asset trading platform.

On Friday, silver and gold ranked among the top five assets by trading volume on Hyperliquid. Silver traded $3 billion in volume, while gold closed at nearly $700 million. The other top assets were Bitcoin, Ethereum, and HYPE, while Solana [SOL] ranked sixth.

According to crypto VC partner and trader McKenna, 30% of Hyperliquid’s overall trading volume is driven by non-crypto assets. He added,

“Let me repeat, Hyperliquid will bring in more daily volume from TradFi perpetuals than digital asset perpetuals.”

Impact of the equity perps boom on HYPE

The equity perps boom was expected to be net positive for the native token, HYPE.

It is a bullish catalyst because the higher the equity perps’ trading volume climbs, the more fees are generated, which drives HYPE buybacks and burns.

In fact, DeFiLlama data showed the positive correlation between the recent rebound in generated revenue, perps volume, and HYPE price.

The average weekly revenue has increased from $11 million to $15.5 million, and the HYPE price has mooned by 70% over the same period.

On the price charts, the altcoin had given back some of the gains amid bearish pressure on Bitcoin. But defending $28 zone as support could reinforce a potential breakout above $36 if the equity perps’ traction extends.

However, breaking below $28 support would invalidate the bullish outlook and trap HYPE back in the December price range of $20-$28.


Final Thoughts

  • Hyperliquid’s market share has increased from 18% to 33% amid equity and commodity perps trading surge
  • Non-crypto assets now account for 32% of Hyperliquid’s overall trading volumes

Preguntas relacionadas

QWhat was Hyperliquid's market share at the end of January, and what was this a significant increase from?

AHyperliquid's market share rose to over 33% at the end of January, which was a significant increase from a recent low of 18% seen in December.

QWhat new type of perpetuals, introduced via HIP-3, was a key driver behind Hyperliquid's recent growth?

AThe introduction of equity and commodities perpetuals (perps) via the HIP-3 upgrade was a key driver behind Hyperliquid's recent growth.

QAccording to the data, what percentage of Hyperliquid's overall trading volume is now driven by non-crypto assets?

AAccording to the data, 30% of Hyperliquid's overall trading volume is now driven by non-crypto assets.

QHow does the increase in trading volume from equity perps directly benefit the native token, HYPE?

AThe increase in trading volume generates more fees, which are used to drive HYPE token buybacks and burns, making it a bullish catalyst for the token's price.

QWhat is the critical price level for HYPE that, if broken, would invalidate the bullish outlook and trap it in its December price range?

AThe critical price level is $28. Breaking below this support would invalidate the bullish outlook and could trap HYPE back in the December price range of $20-$28.

Lecturas Relacionadas

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

**Title: Daily Briefing | Trump Media Group Releases Q1 Report; Top 3 DeFi Apps Return Nearly $100M to Token Holders; Michael Saylor Signals Potential Bitcoin Buy** **Summary:** Key developments in the past 24 hours include: * **Economic Outlook:** Goldman Sachs has pushed back its forecast for the next two Federal Reserve interest rate cuts to December 2026 and March 2027, citing persistent inflationary pressures from energy costs. This delayed timeline is expected to tighten liquidity flow into risk assets, including cryptocurrencies. * **DeFi & Revenue:** Data from DefiLlama shows that three leading DeFi applications—Hyperliquid, Pump.fun, and EdgeX—collectively distributed $96.3 million in revenue to their token holders over the last 30 days. This trend highlights a shift in the crypto community's focus towards real protocol earnings and sustainable economic models. * **Corporate Bitcoin Moves:** Michael Saylor, founder of MicroStrategy (note: referred to as 'Strategy' in the text, likely a typographical error), has signaled potential upcoming Bitcoin purchases by posting a "Bitcoin Tracker" update, following a pattern that typically precedes the company's official disclosure of new acquisitions. * **Market Integrity:** Prediction market platform Polymarket announced updates to address platform issues, including identifying and banning clusters of accounts involved in "ghost-fill" activities and implementing measures to prevent bulk account creation. * **Regulation:** The Bank of England Governor warned that stablecoin regulation could lead to tensions between US and international regulators. In South Korea, the National Tax Service has launched a pilot program to entrust seized virtual assets to private custody firms for management. * **Meme Token Trends:** GMGN data lists the top trending meme tokens on Ethereum (e.g., HEX, SHIB), Solana (e.g., FWOG, TROLL), and Base (e.g., SKITTEN, PEPE) over the past day. **Financial Note:** Trump Media & Technology Group reported a Q1 loss of approximately $4 billion, primarily attributed to unrealized losses on its Bitcoin and other digital asset holdings.

链捕手Hace 29 min(s)

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

链捕手Hace 29 min(s)

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

Telegram founder Pavel Durov announced that Telegram will replace the TON Foundation as the core driver and largest validator of The Open Network (TON). Key initiatives include a sixfold reduction in transaction fees, performance upgrades, and improved developer tools within the next few weeks. This marks a strategic shift from Telegram merely providing user access to deeply integrating TON into its platform's core infrastructure. The goal is to transform Telegram's massive social traffic into sustainable on-chain activity. While viral mini-apps like Notcoin have demonstrated Telegram's ability to drive user adoption, TON aims to support frequent, low-value transactions inherent to social platforms—such as tipping, in-app payments, and game rewards. Ultra-low fees and sub-second finality (0.6 seconds) are crucial to making blockchain interactions seamless and nearly invisible within the Telegram user experience. However, Telegram's increased central role raises questions about network decentralization. Durov argues that Telegram's participation will attract more large validators, thereby enhancing decentralization. TON also offers high annual staking rewards (18.8%), aiming to retain capital within its ecosystem. The fundamental challenge for TON is no longer leveraging Telegram's user base, but becoming an indispensable, seamless infrastructure layer for Telegram's everyday applications—moving from an adjacent chain to an embedded utility.

marsbitHace 31 min(s)

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

marsbitHace 31 min(s)

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

Odaily星球日报Hace 41 min(s)

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Odaily星球日报Hace 41 min(s)

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbitHace 1 hora(s)

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbitHace 1 hora(s)

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbitHace 1 hora(s)

Your Claude Will Dream Tonight, Don't Disturb It

marsbitHace 1 hora(s)

Trading

Spot
Futuros
活动图片