AI Crypto Trading Competition: DeepSeek Dey Lead, Qwen3 Dey Climb
Di NOF1 Alpha Arena AI crypto trading contest wey dey run for Hyperliquid start on October 17 till November 3. Six top AI models—DeepSeek Chat V3.1, xAI’s Grok 4, Anthropic’s Claude Sonnet 4.5, Alibaba’s Qwen3 Max, Google’s Gemini 2.5 Pro and OpenAI’s GPT-5—each put $10,000 to trade BTC, ETH, SOL, XRP, DOGE and BNB perpetual futures. Early results show say DeepSeek dey lead with 25.3% gain ($11,129 by October 22) with 10–15× long leverage, while Qwen3 Max make small surge dey focus on BTC before drawdown for ETH because of 25× leverage. Gemini high-frequency strategy (44 trades) and GPT-5 conservative approach no too perform well, dem dey around 40–58% losses, and Claude Sonnet 4.5 play small with only three trades. Polymarket odds say OpenAI fit be di biggest loser (50%) and Google second (45%). All di models still dey net long, showing different risk profiles and reflexivity risk wey dey copy trading. Dis AI crypto trading contest dey give important insights on quantitative algorithmic trading before di November 3 finale, showing say data-driven models fit beat pure language-based AI for volatile markets.
Neutral
Even though di AI crypto trading competition dey give beta insight into algorithmic strategies and di model sentiment show say e dey bullish by holding net long positions, di small capital size ($10,000 each) and di isolated environment for Hyperliquid limit how e fit affect di overall crypto prices. Di competition findings fit affect trader sentiment, but di direct market impact dey minimal, so di overall effect na neutral.