What Crypto Bear Market? All of These Cryptocurrencies Have Skyrocketed in Value This Year

The article highlights crypto outperformance amid a weak broader market: Hyperliquid is up 210% year to date, Zcash 128%, NEAR Protocol 240%, and Venice Token more than 1,300%, while Bitcoin, Ethereum, and XRP are down nearly 10%, 20%, and 30%, respectively. The author favors Hyperliquid, citing its $20 billion market cap, new spot ETFs, and potential U.S. market access; a spot Zcash ETF attracted more than $500 million in under 30 days. The article also flags NEAR's 75% decline from its January 2022 all-time high and the risk that interest in AI agents may fade.

Analysis

The main investable signal is rotation into narrow crypto narratives, not evidence of a broad crypto recovery: the article’s reported leaders are rallying while larger crypto assets are weak. That divergence can persist, but it makes momentum vulnerable to a liquidity reversal and raises the bar for proving durable token value capture. The key question is whether trading activity, fees, and token-holder economics grow with usage—not whether a platform is described as a leader or an AI use case is compelling.

Near term, ETF access and reported inflows could broaden demand and amplify price moves, but verify product structure, assets under management, and whether flows are sustained rather than launch-driven. Likewise, political support and regulatory developments are not equivalent to a finalized U.S. operating pathway. A reversal in regulatory interpretation or weak follow-through on access would undermine the HYPE thesis. Over 1–3 months, monitor net flows, trading volumes, fee generation, and token supply/unlocks; over 6–18 months, the decisive test is whether users and developers adopt these products without relying on token incentives.

Contrarian angle: the dramatic returns may reflect scarce, high-beta exposures attracting speculative capital during weakness in larger tokens. That can exaggerate apparent adoption. NEAR and Venice also face a hard competitive test against centralized AI providers; NVIDIA’s interest in decentralized AI, as cited, does not establish incremental demand for NVIDIA products or validate these tokens. No direct NVDA earnings implication is established.

Key Decisions for Investors

• Do not chase the reported year-to-date winners on performance alone. Before considering HYPE exposure, verify the claimed ETF’s structure and flows, U.S. regulatory status, exchange volumes, fee capture, and token supply schedule; treat any unverified item as a watch condition, not a catalyst.
• Conditional trade: if verified ETF flows persist and usage/fees confirm growth, consider a small, defined-risk HYPE position rather than a broad altcoin basket. Avoid adding on price strength alone; thesis is falsified by regulatory setbacks, sustained flow reversals, or usage/fee growth failing to support token demand.
• For a relative-value watch, consider HYPE versus higher-narrative, less-proven AI tokens such as Venice Token only where liquid, borrowable instruments exist. This is a momentum-quality hypothesis, not a valuation call; token-specific liquidity, funding, and borrow costs could dominate returns. No trade until those are checked.
• Track a 1–3 month catalyst dashboard: verified ETF assets and net flows, platform volumes and fees, token unlocks, and concrete U.S. regulatory actions. If flows fade while activity or fee capture weakens, reduce or avoid exposure; a broad crypto selloff is an additional downside catalyst.