TechFlow News, January 29: As the competition enters its final stage, clear signs of strategy divergence have emerged in the WEEX Global AI Trading Hackathon preliminary round. Multiple participating teams have consistently generated live trading data; under uniform rules and real market volatility, the stability and risk-control capabilities of different AI strategies are becoming increasingly pronounced.
At this stage, the focus has shifted from “whether the strategy can run” to “whether it can sustainably adapt to the market.” Some strategies maintain consistency during high-volatility market conditions, while others expose drawdowns and execution issues during continuous operation.
Ethan, Co-Founder and Chief Security Officer of WEEX, stated that as the preliminary round progresses into its second half, whether models truly understand market structure will be validated through sustained data. With only four days remaining until the end of the preliminary round, the real capabilities of AI strategies are undergoing a critical test.
