According to the source, an Oxford–Vela study finds GPT-4o and DeepSeek-V3 outperform Y Combinator and leading venture investors at predicting startup success, indicating model-based screening exceeded human benchmarks in this task (source: Oxford–Vela study). For traders, the result provides a quantifiable signal that state-of-the-art LLMs can generate superior selection accuracy for early-stage evaluation, a data point relevant when assessing AI-driven investment screens across equities and tokenized AI themes (source: Oxford–Vela study). The study is confined to startup success prediction and does not present cryptocurrency price analysis, so no direct crypto market impact is established in the source (source: Oxford–Vela study).

According to Fox News, a recent Oxford study found that walking at least 7,000 steps daily significantly reduces cancer risk, highlighting a growing health-conscious trend. This shift toward preventative health measures has influenced investment sentiment in the wellness and health-related crypto sectors, such as move-to-earn blockchain projects. These projects, including StepN and Sweat Economy, have seen increased trading volumes and positive price momentum as investors respond to verified scientific data supporting physical activity linked to digital rewards. Traders are advised to monitor on-chain activity and token performance in the move-to-earn space as mainstream health news continues to drive retail interest and potential capital inflows. (Source: Fox News, May 17, 2025)