HYPE Price Under Pressure: $12B Unlock and Hayes’ Ferrari Sale Shake Confidence

bitcoinistОпубліковано о 2025-09-25Востаннє оновлено о 2025-09-25

Анотація

The Hyperliquid (HYPE) token is under heavy selling pressure as concerns mount over a looming $12 billion unlock event. Trading...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

The Hyperliquid (HYPE) token is under heavy selling pressure as concerns mount over a looming $12 billion unlock event. Trading at $43.37, HYPE has fallen more than 12% in the past 24 hours and is down 20.8% this week, raising alarm across the crypto market.

The scheduled unlock on November 29 will see team tokens representing 23.8% of the total supply released over 24 months, with analysts warning of $500 million in monthly selling pressure.

Research group Maelstrom described the upcoming vesting as a “Sword of Damocles” moment, noting that only 17% of the supply may be absorbed by buybacks.

This overhang has already caused major whales to trim their positions, with one investor withdrawing $122 million worth of HYPE while holding onto $90 million in unrealized profits.

Hyperliquid HYPE HYPEUSD

HYPE's price trends to the downside on the daily chart. Source: HYPEUSD on Tradingview

Arthur Hayes’ Ferrari Sale Sparks Hyperliquid (HYPE) Selloff

Adding fuel to the bearish sentiment, BitMEX co-founder Arthur Hayes recently exited his entire HYPE position, cashing out over 96,000 tokens for approximately $4.8 million. Hayes revealed on social media that the sale was to cover a deposit for his new Ferrari 849 Testarossa, generating nearly $823,000 in profit.

The move stunned the market, especially given Hayes’ bold prediction just weeks earlier at the WebX 2025 conference, where he forecasted a 126x surge in HYPE over three years. His abrupt selloff, paired with mounting unlock concerns, has shaken investor confidence in Hyperliquid’s long-term trajectory.

Tokenomics Reform Proposal: Can It Restore Trust?

In response to growing concerns, DBA Asset Management’s Jon Charbonneau and researcher Hasu have introduced a comprehensive proposal to overhaul HYPE’s tokenomics. The plan recommends:

  • Burning 45% of HYPE’s supply, including unminted tokens allocated for emissions and assistance funds.
  • Eliminating Hyperliquid’s fixed 1 billion supply cap, aligning with flexible issuance models seen in Ethereum and Solana.

Supporters argue the proposal could remove distortions in fully diluted valuation (FDV) metrics and create a fairer assessment of Hyperliquid’s fundamentals. However, critics warn that cutting emissions may weaken growth incentives and reduce flexibility in responding to future challenges.

Despite its current price struggles, Hyperliquid remains one of the fastest-growing decentralized derivatives exchanges, recently hitting $3.4 billion in daily trading volumes. Whether the proposed reforms can stabilize HYPE ahead of November’s unlock will be a decisive test for the project’s resilience.

Cover image from ChatGPT, HYPEUSD chart from Tradingview

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Пов'язані матеріали

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbit2 год тому

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbit2 год тому

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbit3 год тому

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbit3 год тому

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbit3 год тому

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbit3 год тому

Торгівля

Спот
活动图片