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    Home Numeraire price breaks above $11 amid 2,900% volume spike
    Crypto

    Numeraire price breaks above $11 amid 2,900% volume spike

    John SmithBy John SmithMay 30, 2025No Comments2 Mins Read
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    Numeraire, a token linked to the artificial intelligence-powered hedge fund Numerai, has soared nearly 30% in the past 24 hours amid a staggering 2,900% spike in daily trading volume.

    The Numeraire (NMR) price rose sharply as top cryptocurrencies wavered amid continued tariff uncertainty. As risk assets slipped on news that China had “violated” its trade agreement with the U.S., NMR, the native token of the AI hedge fund designed to democratize data science via blockchain, rallied to highs of $12.04 across major exchanges.

    Upside momentum continued Numeraire’s recent uptick, with Friday’s performance marking its best in the past two weeks. Although its gains paled in comparison to the staggering 445% move for Pocket Network and the 150% upwing for Livepeer, NMR posted an astounding statistic of its own too.

    NMR price currently hovers above the psychological $10 mark.

    While price increased only by about 30%, the token’s daily volume skyrocketed by more than 2,900%. From lows of $5.46 million the day before—May 29, 2025—Numeraire buying pressure pushed the daily volume up to $156 million.

    The spike in price and volume defied the broader market, with global crypto volume up by 7.5% to $142 billion and global market cap down 2.7% to $3.31 trillion. A look at the AI-related tokens sector showed that while sector volume rose an average 88% to over $7.4 billion, most of the top AI tokens were down between 4% and 13% in the past 24 hours.

    Numeraire, whose AI approach includes integration of artificial intelligence and blockchain for data scientists, is seeing its utility token gain amid fresh interest in the project. NMR is used to incentivize data scientists with its utility in prediction and staking crucial.

    Recently, Numerai revealed that the platform has recorded over $5.5 million in staking by data scientists.



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