As the cryptocurrency market enters the final quarter of 2025, several sub-$1 tokens are showing potential for growth. These assets present an ideal opportunity, especially as investors anticipate a broader market rally fueled by sustained bullish sentiment. To this end, Finbold consulted OpenAI’s ChatGPT to identify two sub-$1 tokens worth buying as October unfolds. Cardano (ADA) Cardano ( ADA ), currently trading around $0.86, continues to attract interest for its research-driven approach and expanding ecosystem. ADA one-week price chart. Source: Finbold ChatGPT noted that the asset could gain further momentum, citing analysts who point to Cardano’s growing roster of decentralized applications and strong staking participation as indicators of healthy network activity. The model emphasized that Cardano remains well positioned for the 2025 bull phase, supported by ongoing governance and scalability upgrades. While ADA’s price performance has lagged higher-beta tokens in recent months, ChatGPT pointed out that its structural progress and strong community backing make it a credible mid-cap contender for long-term investors. Stellar (XLM) The second pick by ChatGPT was Stellar ( XLM ), which it described as a promising, utility-driven project. The blockchain’s focus on cross-border payments and remittance solutions continues to attract institutional interest, particularly as global payment providers seek faster and cheaper settlement options. At press time, XLM was trading at $0.39, with ChatGPT projecting that the token could target the $1 level in the next major crypto bull cycle. XLM seven-day price chart. Source: Finbold In summary, ChatGPT suggested that investors consider ADA and XLM for their real-world utility beyond speculation. Their established infrastructure, active development teams, and consistent trading liquidity make them stand out as resilient options in an often volatile market landscape. Featured image via Shutterstock The post ChatGPT picks 2 under $1 crypto gems to buy in October appeared first on Finbold .
