Review of strong-performing tokens this year: Only 3-category tokens outperformed BTC，AI and the privacy sector rose against the trend
BIBIBI
AT A GLANCE
PANews, citing the review, stated that this year trading,AI and privacy tokens in categories outperformed Bitcoin.
Article
Review of strong-performing tokens this year: Only 3-category tokens outperformed BTC，AI and the privacy sector rose against the trend
PANews October 29 reported that DeFi researcher Ignas reviewed the year's strong-performing tokens, noting that since the beginning of this year, only trading,AI and privacy tokens in major categories have outperformed Bitcoin, including: 1 Among, trading tokens performed most prominently, with DRV gaining 665%，HYPE rising 200%，PUMP rising 121%，RAY rising 106%. The rationale for gains in this category is that speculative trading generates fee revenue for protocols, which then support token value through buyback mechanisms. 2、AI Regarding -category tokens,VVV rose 1431%，NEAR rose 203%，GRASS rose 151%；3 Regarding privacy tokens,ZEC rose 137%，XMR rose 37%. In addition, Ignas also mentioned QNT and MORPHO in narratives related to institutional adoption, which rose 173%and 89%, respectively. However, apart from the above categories...
PANews, citing DeFi researcher Ignas's review, stated that since the beginning of this year, only trading,AI and privacy tokens in categories have outperformed Bitcoin.
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Among trading tokens,DRV rose 665%、HYPE rose 200%、PUMP rose 121%、RAY rose 106%。
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AI Among -category tokens,VVV rose 1431%、NEAR rose 203%、GRASS rose 151%。
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Among privacy tokens,ZEC rose 137%、XMR rose 37%。
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The report noted that the rationale for gains in trading tokens is related to fee revenue and buyback mechanisms.
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The report also mentioned QNT rose 173%、MORPHO rose 89%。
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
This is a review of token performance over a period, stating that some trading,AI and privacy tokens gained more than Bitcoin this year. However, the original text is truncated, and the statistical period and full conclusions remain unclear.
Why it matters to readers
It shows that the relevant sectors once demonstrated notable strength, but gains do not represent future performance; the statistical methodology should still be verified and fee revenue, buybacks, and actual usage should be monitored.
Beginners should first confirm the time range and comparison benchmark for the gains, and should not make decisions based solely on a single token's historical gains.
Risks and unknowns
The main text is truncated and lacks a complete conclusion.
The report does not clearly provide the statistical period or the complete benchmark methodology.
This evidence alone cannot confirm the actual data for fee revenue, the scale of buybacks, or protocol activity.
It is not possible to determine from this whether the subsequent performance of the relevant tokens will continue.
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BTC
The abbreviation commonly used for Bitcoin when referring to it as a digital currency.
