🌟 Key Takeaways
⚙️ The Future of AI Trading: Analysts say the results highlight China’s growing influence in fintech AI, but experts caution that future tests with real-world sentiment data will determine whether Qwen3-Max’s success is repeatable.
🏆 Qwen3-Max Dominates the Field: Alibaba’s AI model achieved a 22.32% profit in Nof1’s crypto trading competition, outperforming all U.S. rivals including GPT-5.
📉 U.S. Models Struggle: OpenAI’s GPT-5 posted a 62.66% loss, underscoring the widening performance gap between Chinese and American AI systems in quantitative crypto trading.
🏆 China’s Qwen3-Max Dominates Global Crypto AI Showdown
Alibaba’s Qwen3-Max artificial intelligence model has surged ahead of its U.S. rivals in a real-world crypto trading competition organized by American research firm Nof1. The test—designed to evaluate algorithmic precision under live-market conditions—showed Alibaba’s model earning a 22.32 percent return on a US$10,000 portfolio over two weeks, outperforming all six participants and placing China’s AI innovation firmly in the global spotlight.
💰 Inside the AI Trading Experiment
Nof1’s challenge pitted six leading AI systems—including those from OpenAI, Anthropic, Google DeepMind, xAI, DeepSeek, and Alibaba Cloud—against one another in a controlled, fully funded crypto-trading environment. Each AI was restricted to analyzing quantitative on-chain and price data only, with no access to market news or external sentiment models. While Qwen3-Max produced the highest profit, DeepSeek V3.1 Chat followed with a 4.9 percent gain. All four U.S. models reported losses, with OpenAI’s GPT-5 suffering the most severe drop at –62.66 percent.
🌍 Impact on the AI and Crypto Landscape
The outcome marks a pivotal moment in the fusion of artificial intelligence and cryptocurrency, demonstrating how algorithmic systems can outperform traditional strategies under live-market stress. Analysts believe Qwen3-Max’s results highlight China’s rising strength in applied AI innovation, challenging U.S. leadership in fintech automation. Still, experts warn that since the trial excluded real-world variables such as news, regulation, and investor sentiment, broader conclusions should be drawn cautiously.
🔬 What Comes Next for AI-Driven Trading
Nof1 stated that luck may have contributed to the short-term success and announced plans to introduce deeper statistical modeling and macro data inputs in future rounds. Despite the caution, Qwen3-Max’s victory reinforces Alibaba’s position as a key player in financial AI development, setting the stage for new competition in global crypto trading automation and AI-powered asset management.
Disclaimer:
This article is for informational purposes only and does not constitute financial or investment advice.
Source: Digital News & Investigative Reports (DNIR) — cnirbc.com
This article was created with AI assistance and curated by DNIR Staff for accuracy and editorial standards.
