Less than 2 years left to buy Hyperliquid – And that’s the bullish case!

ambcryptoОпубликовано 2025-10-18Обновлено 2025-10-19

Key Takeaways

Is HYPE heading toward a supply crunch?

Yes. With less than two years needed to buy back all liquid supply, demand is outpacing availability.

Why is HYPE popular right now?

Its strong earnings, dominant market share, and aggressive buybacks make it a top DeFi growth token.


Hyperliquid [HYPE] has jumped to the top of the perpetual DEX market, and is pulling ahead of fast-growing rival Aster [ASTER].

As token supply continues to fall and demand stays strong, a supply crunch may be just around the corner.

Hyperliquid dominates DEX space

At press time, Hyperliquid led the perpetual DEX market with a massive $5 billion in total value locked (TVL), commanding over 60% market share.

Hyperliquid

Source: X

Despite its strong lead, competitors are closing in. Aster surged past $655 million, briefly nearing the $2 billion mark earlier this quarter, while Lighter and edgeX are also showing steady growth.

Strong growth for HYPE

Building on its TVL dominance, Hyperliquid’s fundamentals remain strikingly solid.

HYPERLIQUID

Source: X

With a P/E ratio of just 2, it’s slowly becoming one of the most efficient growth plays in the DeFi space.

The latest data shows it would take less than two years (1.94 years) for Hyperliquid to buy back its entire ready-for-sale supply, backed by $4 million in daily revenue and a $35.37 token price.

Source: X

This short buyback period is an obvious indicator of powerful earnings momentum and confidence in the token.

Buyback speeds up rebound hopes

Hyperliquid’s ongoing buyback program has accumulated an impressive $521.85 million since March 2025, repurchasing 15.26 million HYPE tokens; about 5.64% of the circulating supply.

The accumulation, funded through protocol fees, proves strong treasury activity despite recent price dips.

Hyperliquid

Source: X

AMBCrypto previously reported that Hyperliquid is strategically buying back HYPE around the $30-$35 zone, a range that has so far sparked price recoveries.

While the market remains cautious, derivative whales are showing greater interest. This means that these buybacks could soon restore confidence and trigger a potential price reversal as supply continues to tighten.

Share

Похожее

Will OpenAI Swallow the Application Layer? a16z Says Real Opportunities Lie Outside General Models

As large language models (LLMs) from companies like OpenAI and Anthropic become more powerful, many fear they will dominate the AI application layer, leaving no room for startups. However, this article argues that the real opportunity lies not on the "Yellow Brick Road"—the high-profile, general-purpose tasks like code and text generation that model labs are directly pursuing—but in the "rest of Oz": complex, vertical-specific applications. On the Yellow Brick Road, model companies have inherent advantages: control over the model, better margins, pricing power, and strong distribution. Startups building generic, horizontal "co-pilot" tools for standard tasks are competing directly on this path and are vulnerable. True defensibility and value are found in specialized, vertical applications. These involve deep integration into messy, multi-step business workflows (e.g., sales, insurance, legal), handling legacy systems, data quality issues, compliance, and governance. The "scaffolding" around the model—the specialized tools, automations, workflows, and industry knowledge—becomes more critical than the raw model power itself. Vertical AI companies can build defensible moats through: * **Data & Learning Flywheels:** Capturing unwritten industry practices and specific customer feedback not found in public training data. * **Managing Model Complexity:** Routinely evaluating and routing queries across multiple models (including open-source) to optimize for performance and cost, and absorbing the migration burden of model upgrades for clients. * **Cost Optimization:** Using cheaper, fine-tuned models for specific sub-tasks instead of always calling the most expensive, general-purpose model. * **Governance & Compliance:** Providing the control plane for permissions, auditing, and ensuring compliance with industry-specific regulations (e.g., HIPAA, FINRA). Examples from sales (11x) and insurance (FurtherAI) illustrate that clients pay for systems that drive specific business outcomes (e.g., sales pipeline, policy underwriting), not for generic intelligence. These systems become the "operational memory" of a business, a layer that is hard to replace, even as the underlying LLMs commoditize and improve. To test if a startup is building in the "rest of Oz," it should pass checks like the **Tool & Steps Test** (requires complex, multi-step workflows), the **System Test** (owns the end-to-end workflow, not just a tool on top), and the **Hedge Fund / P&L Test** (measured by client business outcomes, not benchmark scores). Both model labs and vertical application companies will win. The next generation of enterprise software will be built in the specialized, complex, and high-value territory beyond the Yellow Brick Road.

marsbit5 мин. назад

Will OpenAI Swallow the Application Layer? a16z Says Real Opportunities Lie Outside General Models

marsbit5 мин. назад

'ASIC Giant' Marvell Sets Record Quarterly Revenue, Raises Guidance Again, CEO Says Data Center Business Is 'On Fire'

Marvell Technology, a leading player in custom AI chips and data center connectivity, reported record revenue for its fiscal Q1 2027, driven by explosive demand in its data center business. Revenue reached $2.418 billion, slightly surpassing expectations, though GAAP net income fell year-over-year due to acquisition-related costs. Crucially, data center revenue hit $1.83 billion, making up 76% of the total and growing 27% YoY. The company significantly raised its full-year and next-year guidance, citing "exceptionally strong AI-related orders." Revenue is now projected at ~$11.5 billion for FY2027 and ~$16.5 billion for FY2028. CEO Matt Murphy emphasized that growth in the data center segment is accelerating. The AI Interconnect business, now expected to grow over 70% annually, saw its forecast lifted again due to rising network demands in complex AI models. Additionally, Marvell's custom chip (XPU) business is on a steep growth path, with FY2028 revenue anticipated to double and a target of over $10 billion by FY2029. The company also expanded its strategic collaboration with NVIDIA, focusing on silicon photonics, system integration, and AI-RAN solutions. To secure supply for surging demand, Marvell plans about $1 billion in supplier prepayments this fiscal year, highlighting its long-term capacity planning. Despite the strong results, the stock dipped slightly in after-hours trading.

marsbit23 мин. назад

'ASIC Giant' Marvell Sets Record Quarterly Revenue, Raises Guidance Again, CEO Says Data Center Business Is 'On Fire'

marsbit23 мин. назад

Top Audit Expert Warns: All DeFi is Unsafe, Withdraw Now!

A leading DeFi security expert has issued a stark warning: all DeFi is now unsafe. Manuel Aráoz, founder of major security audit firm OpenZeppelin, stated on X that he is advising friends and family to withdraw funds from major protocols like Aave, MakerDAO, and Compound. The core reason for this drastic shift is the rise of AI. Aráoz argues that AI-powered coding agents can now identify and exploit smart contract vulnerabilities at an exponentially faster rate. This turns DeFi's transparency into a liability, providing a vast training dataset for attackers. The fundamental asymmetry of security—where defenders must patch every flaw, but attackers need only find one—is being catastrophically unbalanced by AI. Recent months provide chilling evidence. April saw massive exploits, including a $280 million loss at Drift Protocol and a $292 million theft from Kelp DAO. The trend continued into May with multiple high-value attacks on protocols like THORChain, Verus, Echo Protocol, and StakeDAO, demonstrating vulnerabilities across both on-chain code and off-chain management. AI acts as a force multiplier for hackers, enabling near-instantaneous vulnerability scanning, automated exploit script generation, and sophisticated social engineering. The recent development of ultra-powerful AI models like Anthropic's Mythos—so advanced its public release was delayed over security fears—signals even greater threats ahead. The article concludes that the risk-reward calculus for DeFi participants has fundamentally broken. With yields on many "blue-chip" protocols now in the single digits, users are essentially risking 100% of their principal for minimal returns, with no recourse in case of attack. In this environment, withdrawing funds may be the most rational risk management decision.

marsbit23 мин. назад

Top Audit Expert Warns: All DeFi is Unsafe, Withdraw Now!

marsbit23 мин. назад

Торговля

Спот
Фьючерсы
活动图片