After Grayscale announced the launch of an XRP Trust—potentially paving the way for the first XRP spot exchange-traded fund (ETF) in the U.S.—artificial intelligence (AI) models are providing price predictions for XRP should this ETF be approved.

Grayscale’s announcement sparked a bullish rally for XRP, making it one of the top performers in the last 24 hours, alongside Quant (QNT) and Worldcoin (WLD). This has fueled optimism among AI models regarding XRP’s future price.

ChatGPT-4o’s XRP Price Prediction

Consulting various AI models, Finbold found that ChatGPT-4o predicts XRP could range between $0.67 and $0.75 if a spot ETF is launched. However, it emphasized that actual performance will depend on broader market conditions and investor sentiment at the time.

Meta AI’s XRP Price Prediction

Llama 3.1, Meta Platforms’ AI assistant, noted that the launch of an XRP spot ETF could trigger a significant price surge, potentially reaching $0.75 or higher. It highlighted that the demand for XRP would likely increase, impacting prices positively, though actual figures would hinge on market reactions and investor interest.

Google Gemini’s XRP Prediction

Google Gemini has outlined three scenarios for XRP’s price following the ETF launch, factoring in institutional adoption, regulatory clarity, and market sentiment.

Analysts’ XRP Price Insights

Market analyst TradingShot has suggested that Grayscale’s Trust could signify a new era for cryptocurrencies, but has observed a bearish trend for XRP since July 2023. They noted that XRP has formed a series of lower highs and remains in a downward channel. According to their analysis, XRP could target $0.40 if bearish trends persist, while breaking above previous lower highs could shift sentiment to bullish.

As of now, XRP is trading at $0.56858, reflecting a 5.12% increase over the last 24 hours and a 6.05% gain over the past week.

Ultimately, if XRP secures its own spot ETF, it could see price levels predicted by AI models. However, the cryptocurrency market is volatile, making ongoing research essential for investors.

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