As the United States edges closer to regulatory clarity under a pro-cryptocurrency administration, sentiment toward domestic blockchain projects is rapidly improving.
With Donald Trump back in office, several U.S.-based cryptocurrencies stand to benefit from a more favorable policy environment.
Many of these projects remain undervalued compared to their global counterparts, presenting compelling investment opportunities. In this context, ChatGPT has identified two standout U.S. cryptocurrencies worth considering now.
Stellar (XLM)
Stellar (XLM), based in San Francisco, focuses on cross-border payments and asset tokenization. It has formed strategic partnerships with major institutions, including MoneyGram and several central banks.
Despite strong institutional support and solid fundamentals, Stellar remains undervalued relative to competitors like XRP.
Technically, XLM is approaching a bullish order block around the $0.25 level, an area of high-time frame support.
At the time of reporting, XLM was trading at $0.23, up 1.6% in the past 24 hours, though it has dipped 2.33% over the past week.
Algorand (ALGO)
Algorand (ALGO) is designed for high-performance smart contracts and has gained ground in government-backed blockchain initiatives, including the Marshall Islands’ CBDC.
Its academic roots and regulatory focus have helped it secure key institutional partnerships. Most recently, the Algorand Foundation partnered with Paycode to deliver offline biometric payment systems across underserved regions in Africa and Asia, supporting digital ID infrastructure and financial inclusion.
The recent release of AlgoKit 3.0 and growing developer activity are driving increased adoption, which historically correlates with price gains.
By press time, ALGO was trading at $0.17, up 1.5% in the past 24 hours and nearly 4% over the past week.
Together, ChatGPT noted that Stellar and Algorand exemplify the renewed strength of U.S. blockchain innovation, potentially setting the stage for long-term growth.
Featured image via Shutterstock
