Wall Street Gears Up for XRP: ProShares and CME Lead the Charge

ProShares is set to debut three new XRP-linked ETFs on April 30, offering traders multiple ways to bet on the token’s price movements.

According to SEC filings, the funds — Ultra XRP ETF, Short XRP ETF, and Ultra Short XRP ETF — will provide leveraged and inverse exposure. The Ultra XRP ETF will offer 2x leverage, the Short XRP ETF will allow investors to bet against XRP’s price, and the Ultra Short version will deliver -2x returns.

Initially proposed in January, these ETFs faced a regulatory review period but ultimately moved forward after the SEC chose not to raise objections. Despite the progress, ProShares is still awaiting a decision on its separate application for a spot XRP ETF, which remains pending alongside proposals from Grayscale, 21Shares, and Bitwise.

Teucrium Investment Advisors had already made headlines earlier this month by launching the first XRP futures ETF in the U.S., beating larger players to market. Their fund offers leveraged exposure to XRP without holding the asset directly.

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Meanwhile, CME Group is gearing up to introduce XRP futures as well. CME — which already offers Bitcoin, Ethereum, and Solana futures — plans to add two cash-settled XRP contracts tied to 2,500 and 50,000 XRP, respectively. The pricing will be based on the CME CF XRP-Dollar Reference Rate, updated daily.

The timing is notable, coming as U.S. regulators under the Trump administration adopt a more crypto-friendly posture. Current market data shows XRP hovering around $2, with a slight 1% gain over the past 24 hours, according to CoinGecko.

XRP’s growing presence in institutional products reflects its broader clout. With a market cap exceeding $127 billion, the token ranks as the fourth-largest cryptocurrency. Backed by Ripple, XRP’s expansion efforts in Washington, D.C. have fueled both aggressive lobbying campaigns and controversy within the crypto space. Ripple’s ongoing promotion of XRP as an energy-efficient alternative to Bitcoin’s proof-of-work model has further added to the competitive narrative.

Alexander Stefanov