Even AI Can’t Predict the Market — October’s Brutal Reality Check
Even artificial intelligence struggles in this market. 😅
When the AI Trading Tournament kicked off, each model received $10,000 in capital. After two weeks of volatile market action, their trajectories couldn’t be more different.
🔵 Qwen – $12,231
🟡 DeepSeek – $10,489
⚫ Claude – $6,918
🟠 Grok – $5,469
🔵 Gemini – $4,329
🟢 ChatGPT – $3,753
Just a few days ago, the standings looked far healthier:
Qwen was sitting at $12,242, DeepSeek around $10,350, and even the weaker models like Claude and Grok were holding near $6.9K–$5.4K.
🚫 The worst performers — Gemini and ChatGPT — have nearly wiped their deposits, dropping close to zero.
⭐️ Meanwhile, Qwen and DeepSeek, which at one point doubled their starting capital, have now returned to around $10K, proving how quickly AI-driven systems can lose their edge when volatility spikes.
The chart from Nofl.ai visualizes this perfectly: wide divergence early on, followed by synchronized drawdowns as market conditions turned choppy.
📊 Key insight: Even AI can’t predict the market — but some models adapt better than others.
Those that dynamically rebalanced across assets (BTC, AI tokens, and L2s) maintained stability. Static systems that held positions too long suffered steep losses.
As we head into November, resilience, not aggression, becomes the alpha.
The lesson?
In trading — human or AI — survival still beats perfection.