January 30 News, XRP once again became the focus of the crypto community due to a real-time price display error during a television program. During this week’s CNBC ‘Crypto World’ show, the screen briefly displayed XRP at $126.01, significantly higher than the actual price of around $1.90 at the time—an increase of over 6500%, instantly sparking discussions on social media.
Looking back at the footage, the program was broadcasting a hearing by the U.S. Senate Agriculture Committee on the structure of the crypto market. Bitcoin and Ethereum prices were normal, but when the camera switched to XRP, the price suddenly jumped into the three-digit range. The production team later confirmed that this was caused by mistakenly applying Solana’s spot price at the time to the XRP segment, a purely technical error.
Nevertheless, this ‘phantom price’ once again aligned with the long-held view of some XRP holders: they believe that the market has not fully priced in XRP’s potential utility, and such abnormal displays are interpreted as hints of a ‘hidden fair value.’ However, multiple crypto media outlets have clarified that this incident was merely a data source confusion.
In fact, XRP has experienced several instances of extreme abnormal quotes in its history. In 2020, a trading platform once showed its price approaching $9,864; in the following years, false values ranging from hundreds to tens of thousands, and even over a billion dollars, appeared across various data sources. These ‘printing errors’ did not alter the actual transactions but repeatedly generated buzz.
From the current market situation, XRP is still fluctuating around $1.7, with a 24-hour trading volume of approximately $5.4 billion. Meanwhile, expectations for XRP spot ETFs continue to rise, with some analysts believing that if such products are launched, they could absorb a small portion of circulating supply and thus amplify price elasticity.
Although the CNBC screen malfunction was a blunder, it once again reminds investors that in highly emotional markets, data accuracy and risk awareness are equally important.
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