Source published: November 5, 2026, at 17:51:39 UTC+8. The figures below describe the reporting window in that article, not live market conditions.
Only two of the ten assets in a yearlong review by Cloud, chief analyst at HTX, posted positive returns: HYPE, up 115.7%, and ZEC, up 232.0%. DOGE was the weakest performer, down 52.9%.
The report, published by Odaily, frames that divergence as a contest between different crypto narratives: decentralized derivatives and platform revenue, privacy, smart-contract infrastructure, payments, meme culture and decentralized AI. Its central argument is that sector labels alone did not explain performance; the market treated individual assets very differently.
That is an interpretation of price performance, however—not a comprehensive measurement of adoption or token value capture. The report supplies price histories and technical reference levels, while its explanations about cash flow, institutional demand and narrative strength remain the analyst’s assessment.
What the review measures
Cloud used HTX USDT-margined perpetual futures daily data covering November 4, 2025, through November 5, 2026, a 367-day window. The selection comprises ten assets, including two smart-contract layer-1 tokens, ETH and SOL; it is not a like-for-like comparison of ten distinct business models.
The report describes three broad phases:
- A peak around October–early November 2025. BTC’s stated all-time high of $126,199.6 on October 6, 2025 falls outside the review window. Its high inside the window was $107,736 on November 4, 2025.
- A prolonged decline into 2026. BTC reached its window low of $57,761 on July 1, 2026, while several other assets recorded lows in February or June.
- A third-quarter recovery followed by another decline in October–November. The report says most assets rebounded by more than 50% during the third quarter before surrendering a substantial part of that recovery.
The ten-asset snapshot
All prices and returns in this table are those reported in the source as of its November 5, 2026 cutoff.
| Asset | Narrative or use case in the report | Reported price | Window return | Window low–high |
|---|---|---|---|---|
| BTC | Store of value | $80,693 | −21.8% | $57,761–$107,736 |
| ETH | Smart-contract layer 1 | $2,431 | −30.7% | $1,504–$3,682 |
| SOL | High-performance layer 1 | $96.29 | −40.3% | $60.14–$171.74 |
| BNB | Exchange-platform token | $720 | −24.2% | $537.50–$1,018 |
| XRP | Cross-border payments | $1.31 | −42.6% | $0.984–$2.58 |
| DOGE | Meme culture | $0.0772 | −52.9% | $0.0677–$0.186 |
| LINK | Oracles | $11.49 | −23.9% | $7.00–$16.78 |
| HYPE | Decentralized derivatives | $84.40 | +115.7% | $20.50–$98.10 |
| ZEC | Privacy | $1,313 | +232.0% | $184.63–$1,691 |
| TAO | Decentralized AI computing | $236.51 | −41.9% | $142.54–$502.15 |
Two winners, two different explanations
HYPE: a revenue narrative tied to derivatives trading
HYPE reached its window low of $20.50 on January 21, 2026, and its high of $98.10 on September 23. At the reported price of $84.40, it was 13.9% below that high.
Cloud attributes its relative strength to decentralized perpetual exchanges gaining trading share and to a buyback mechanism funded by platform revenue. For Hyperliquid, the report identifies trading volume, margin balances and the pace of buybacks as important variables.
It also flags a less straightforward source of activity: ecosystem airdrop and points expectations can attract capital, but may create deleveraging risk. Regulatory scrutiny of decentralized derivatives is another constraint. The article does not provide revenue or market-share figures sufficient to quantify how much each factor contributed to HYPE’s return.
ZEC: privacy attention accompanied by extreme volatility
ZEC rose from a window low of $184.63 on February 6, 2026, to a high of $1,691 on September 27. Its reported price of $1,313 was 22.3% below the high.
Cloud interprets the move as a repricing of the privacy narrative. But the report also records a 72.1% maximum drawdown during the window—a reminder that the strongest endpoint return did not mean a smooth holding period.
The proposed fundamental test is usage rather than attention alone: shielded-pool activity and genuine demand for private transfers. Exchange access, fiat entry and exit channels, leverage and competition from other privacy solutions also feature in the analyst’s watchlist. The source does not quantify adoption growth.
Infrastructure narratives face different value-capture tests
ETH and SOL should not be treated as interchangeable layer-1 exposure. Cloud’s ETH discussion centers on whether activity translates into mainnet fees and token burning. The report argues that layer-2 migration has weakened that connection, while identifying staking, ETF structures, stablecoin settlement and real-world asset tokenization as possible counterweights.
For SOL, the emphasis is different: network performance, validator-client development including Firedancer, decentralized-exchange activity and meme trading. The analyst also identifies U.S. spot-ETF developments as an event-sensitive variable. These are factors to monitor in the report’s historical context, not confirmation of subsequent approvals or inflows.
LINK represents infrastructure for tokenization rather than direct ownership of tokenized assets. Cloud points to oracle services, CCIP adoption and pilots involving Swift, DTCC and global banks. The important distinction is between pilot activity, production use and revenue generation; the article does not provide figures establishing that conversion.
TAO’s AI narrative faces a similar boundary. The report distinguishes its operating computing network and subnet economy from a purely attention-driven token. Nevertheless, its proposed route to cash flow depends on outside customers purchasing inference and training services. Cloud identifies dTAO mechanics, subnet economics and demand relative to continuing token issuance as key questions. No external-service revenue figures are supplied.
Payments, exchange activity and meme attention are separate bets
For XRP, Cloud focuses on bank settlement relationships, ETF developments and competition from stablecoins. The report places its window low later than most of the other large assets—August 15, 2026—and interprets that timing as evidence of a more asset-specific cycle. Price timing alone does not establish which event caused the move.
For BNB, the analyst emphasizes exchange trading activity, token burns, BNB Chain usage and regulatory costs. The report treats platform economics as a source of resilience, but does not provide a revenue-to-token-value calculation.
For DOGE, the proposed drivers are attention and liquidity: retail risk appetite, social-platform payment developments, celebrity interest and competition from newer meme assets. At the cutoff, DOGE stood only 14.1% above its window low. Cloud reads this as a weak position for an asset without a cash-flow anchor—not proof that every meme asset followed the same path.
Technical levels provide a map, not adoption evidence
The review uses Fibonacci retracements calculated from each asset’s window high and low. At the reported cutoff:
- BTC was above the report’s $76,852 61.8% retracement level and below its $82,749 midpoint.
- ETH was above its $2,337 61.8% level and below the $2,594 midpoint.
- BNB was close to its $721.13 61.8% level.
- LINK was above $10.74, its 61.8% level, and below its $11.89 midpoint.
- SOL remained between $84.03 and $102.77, the report’s 78.6% and 61.8% levels.
- XRP remained below its $1.33 78.6% level, while DOGE was below its corresponding $0.090 level.
- TAO had rebounded about 8% over November 3–4 from the vicinity of its $219.50 78.6% level.
- HYPE and ZEC remained above their respective 38.2% retracement levels of $68.46 and $1,115.57.
These are the analyst’s technical reference points, not independently established price floors or forecasts. They also cannot demonstrate whether an ecosystem is acquiring users, generating sustainable revenue or passing that revenue through to token holders.
The narrative takeaway
Cloud organizes the next set of questions around liquidity, cash-flow generation and asset-specific events. The strongest useful distinction is between what attracts attention and what can be measured: exchange activity and buybacks for HYPE, privacy usage for ZEC, externally purchased AI services for TAO, and production settlement or infrastructure demand for payment and tokenization projects.
The return dispersion is documented in the supplied price series. The causal story is less settled. Two outperformers do not, by themselves, establish a broad capital rotation or prove that one sector’s tokens share the same economics.
Risk note: The source uses HTX perpetual-futures data, not a consolidated spot-market index. Its technical levels are reference calculations, and its market explanations are attributed analysis rather than investment advice.
