HYPE price prediction – Identifying the next liquidity target for traders

ambcryptoPublicado em 2026-02-12Última atualização em 2026-02-12

Resumo

HYPE's price rebounded strongly after defending the ascending trendline support near $28, signaling renewed bullish momentum. On-chain data shows transaction fees have dropped significantly, suggesting lower acquisition costs and potential for increased trading activity. A key liquidity cluster of approximately $1.32 million is identified around $37.20, which may act as a near-term target if bullish momentum continues. With the Stochastic RSI bouncing from oversold conditions and buyers maintaining control, all factors point toward a potential upward move toward the $37.20 level, provided the current support holds and volatility expands.

HYPE’s price action is again under the bulls’ control.

The altcoin posted strong daily gains after rejecting the ascending trendline support near $28. Buyers stepped in decisively at that level. As expected, the reaction was sharp and at press time, the structure was intact.

In fact, the token’s trendline seemed to be holding strong too. The support defence initiated a short-term shift in HYPE‘s bullish run momentum

The $28-zone has historically acted as a clear line of defence against further dips. However, while the sellers pushed the price lower, the market bulls responded immediately.The price rebound at the point of demand around $28 suggested that long position takers were active along the rising support. Usually, when ascending trendlines hold during pullbacks, it is often a sign of continuation not breakdown.

In HYPE’s case, the Stochastic RSI was just bouncing from an oversold zone too – Further affirming that the bullish run could be far from over.

Lower fees can change behavior

Still, a follow-through buying phase matters.

According to the recent on-chain data, HYPE’s transaction fees have dropped sharply lately, falling to around $2 million. This hinted at a lower cost of acquiring the token.

Consequently, a corresponding trading activity surge can be projected in the near term. This could instil more volatility into the market and accelerate the prevailing bullish momentum.

Liquidity cluster at $37.20 in focus

That’s not all though as above the press time levels sits a notable liquidity cluster worth approximately $1.32 million at around $37.20.

As has historically been the case, markets are drawn to liquidity. When volatility expands, the price often gravitates towards these zones. If bullish momentum continues to build, this cluster can act as a near-term magnet.

A move towards $37.20 would not only test liquidity. Instead, it would also confirm strength above the recent support defence.

What’s next for HYPE?

HYPE has defended its trendline support. Fees have dropped and volatility may expand too.

In other words, all the factors for continuation are present. If buyers maintain control and trading activity increases, the $37.20 liquidity pocket could be the next logical destination.

For now though, bulls hold the edge. Despite the fact that momentum needs confirmation.

Final Thoughts

  • HYPE bounced strongly from the ascending trendline support near $28.
  • A $1.32M liquidity cluster at $37.20 could attract the price if momentum builds.

Perguntas relacionadas

QWhat key support level did HYPE's price recently defend, and what was the market reaction?

AHYPE's price recently defended the ascending trendline support near $28. The market reaction was sharp and bullish, with buyers stepping in decisively at that level, initiating a short-term shift in the bullish run momentum.

QAccording to the on-chain data, what change in HYPE's transaction fees was observed, and what does it suggest?

AAccording to recent on-chain data, HYPE's transaction fees have dropped sharply to around $2 million. This suggests a lower cost of acquiring the token and could project a surge in trading activity, instilling more volatility and accelerating the bullish momentum.

QWhere is the significant liquidity cluster located above the current price, and what is its estimated value?

AThere is a significant liquidity cluster located at approximately $37.20, with an estimated value of $1.32 million.

QWhat is the significance of an ascending trendline holding during a pullback, as mentioned in the article?

AWhen an ascending trendline holds during a pullback, it is often a sign of continuation rather than a breakdown, indicating that the prevailing bullish trend is likely to persist.

QWhat does the article suggest is the next logical price target for HYPE if bullish momentum continues?

AThe article suggests that if buyers maintain control and trading activity increases, the next logical price target for HYPE is the liquidity pocket at $37.20.

Leituras Relacionadas

The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

marsbitHá 1h

The Value Distribution of Stablecoins

marsbitHá 1h

The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

链捕手Há 1h

The Value Distribution of Stablecoins

链捕手Há 1h

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

Nvidia's recent announcement to issue at least $20 billion in senior notes, despite holding a strong cash position with over $48.6 billion in free cash flow last quarter, is not a sign of financial need. Instead, it represents a strategic move to leverage its high credit rating (recently upgraded to AA by S&P) to secure low-cost, long-term debt. This capital will support long-term AI infrastructure investments, data centers, R&D, supply chain prepayments, and strategic investments, while allowing the company to continue aggressive shareholder returns through stock buybacks and dividends. The decision reflects a mature capital management strategy: using debt to finance long-term growth assets is more efficient and less dilutive to shareholders than equity financing. It signals that Nvidia, like other tech giants (Alphabet, Meta, Amazon), is entering a new phase of heavy AI capital expenditure, shifting from a pure growth story to a story about capital allocation, credit strength, and long-term ecosystem positioning. The key question for investors is whether Nvidia can maintain its high cash flow generation and ensure that returns from these AI investments justify the cost of capital over the long term. The bond issuance amplifies its expansion capabilities but also ties its valuation more closely to the broader AI investment cycle's sustainability and profitability.

marsbitHá 1h

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

marsbitHá 1h

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

Liberland's congress has voted to remove Technology Secretary Dorian Stern Vukotić, following a resolution accusing him of attempting to hijack the Liberland.org domain, removing administrative multisig protections, blocking the president from voting, and launching unauthorized tokens. The incident serves as a case study in blockchain governance, highlighting risks that go beyond smart contracts to include control over domains, admin keys, and off-chain authority. For the crypto industry, it underscores the need to scrutinize decentralization claims against operational realities, where a small group can still compromise governance. The story reflects a broader market shift where infrastructure security and governance are becoming as critical as price action. Editorial framing should treat the development as a verified information signal about governance risks, avoiding overstatement of Liberland's legal status and leaving room for follow-up evidence.

bitcoinistHá 2h

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

bitcoinistHá 2h

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbitHá 3h

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbitHá 3h

Trading

Spot
Futuros
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow