In a strategic move, Robinhood is reportedly exploring an expansion of its prediction markets by engaging in talks with Crypto.com. This development comes as the U.S. prediction market landscape grapples with significant legal hurdles.
Details of the Discussions
According to a report from the Wall Street Journal, Robinhood is considering integrating yes-or-no event contracts provided by Crypto.com into its existing prediction markets platform. This initiative follows Robinhood’s launch of its prediction markets hub in March 2025, which was initially supported by Kalshi to meet regulatory standards set by the U.S. Commodity Futures Trading Commission (CFTC). Subsequently, Robinhood has also worked with ForecastEx and Rotella.
Market Outlook and Financial Implications
The timing of these discussions is noteworthy, as analysts from Bernstein recently increased their price target for Robinhood’s stock from $130 to $160 per share. This adjustment is based on the anticipated growth of Robinhood’s prediction markets and the potential for tokenized equities. Bernstein forecasts that Robinhood’s revenue from prediction markets could reach approximately $1.7 billion by 2028.
Legal Challenges in Prediction Markets
Despite the promising outlook, the prediction market sector is currently facing legal scrutiny. The CFTC has asserted its exclusive jurisdiction over event contracts, while various state gaming authorities have initiated lawsuits aimed at restricting or blocking the operations of these platforms. Bernstein has projected that the volume in prediction markets could hit $1 trillion by 2030, but the ongoing legal battles may impact this growth trajectory.
Conclusion
As Robinhood navigates these discussions with Crypto.com, the implications for its business strategy and the broader prediction market landscape remain to be seen. The intersection of innovation and regulation will be critical as these companies seek to expand their offerings in a complex legal environment.
This article was produced by NeonPulse.today using human and AI-assisted editorial processes, based on publicly available information. Content may be edited for clarity and style.
