WEEX AI Trading Hackathon | 24 Hours Before the Finals, Market Review: Never Let Emotions Dictate Trading. Whether the model works or not, the true test is in the real market—results are clear in a few days. That’s why I’ve been paying close attention to the WEEX AI Trading Hackathon. It’s not just a concept showcase, but real trading competition. Over 80 AI quantitative teams with real funds, total trading volume of 2.43 million USDT. In a market characterized by high-frequency oscillations and repeated directional shifts, long and short judgments may seem close, but the quality of strategies is all reflected in the drawdown curve. Many models fail not because of wrong direction, but because of poor risk control. Those who have made it this far are often not the ones earning the fastest, but the ones able to endure the longest. Now, the competition has entered the final stage: • 100 → 37 contestants remaining • Each one is an AI that has “survived” in real market volatility • Their strategies may not be perfect, but at least prove one thing: in uncertainty, models have survival capability. The $1.88 million prize pool naturally draws attention. The champion will take home a Bentley Bentayga worth $500,000 🚙 But more important than the prize is this: AI is no longer just storytelling but is truly integrated into the market, facing the joint challenges of volatility, slippage, emotions, and risk. It’s worth noting that: all finalists will receive 10,000 USDT in simulated funds to continue live trading. This means—AI strategies are being systematically screened, compared, and validated, rather than just talked about with PPT presentations or backtest curves. Trading involves risks, and AI strategies are no exception. But one thing is certain: no one is treating AI quant as a toy anymore. In 24 hours, we will see—under the current crypto market environment, which AI is closest to “sustainable trading.” Brother Qiang will continue to follow and provide important analysis and insights! #WEEX #AITrading #AI量化 #Hackathon #RealTradingCompetition