Core Insights - The article discusses an AI stock trading competition called Alpha Arena organized by a startup named Nof1, which has garnered significant attention in both the AI and investment circles [2][4]. Group 1: Competition Overview - The competition involves giving each AI tool $10,000 to trade stocks, with performance monitored over a two-week period starting from October 18 and ending on November 3 [4]. - The participating AI models include top-tier international and domestic players, such as OpenAI's GPT-5, Google's Gemini 2.5 Pro, and Alibaba's Qwen3 Max [4][6]. Group 2: Performance Results - As of October 21, DeepSeek leads with a 13% return, having previously peaked at 40%, while GPT-5 has suffered a loss of 45.81%, leaving only $5,414 in its account [6][8]. - Grok 4 follows DeepSeek with an 11.7% return, and Claude Sonnet 4.5 ranks third with an 11.45% return, both showing more consistent performance compared to GPT-5 [8][10]. - Qwen3 Max is in a small profit zone, while Gemini 2.5 Pro also shows significant losses, similar to GPT-5 [10][12]. Group 3: Trading Strategies - DeepSeek employs a straightforward "All in and Hold" strategy, leveraging positions in major cryptocurrencies, which has yielded substantial returns during the recent market uptrend [12][13]. - In contrast, GPT-5's initial bearish strategy led to significant losses, while Gemini 2.5 Pro's frequent trading resulted in a rapid decline in account value due to high transaction costs [15][16]. - Claude Sonnet 4.5 is noted for its conservative trading approach, focusing on fewer trades and maintaining lower positions, which has proven to be more stable [17]. Group 4: Implications for AI in Trading - The competition highlights the unpredictability of financial markets, contrasting with static benchmarks used to evaluate AI capabilities [18][19]. - AI's ability to analyze vast amounts of information quickly is emphasized, but its limitations in anticipating market dynamics and personal financial situations are also noted [22]. - The ongoing competition suggests that the combination of AI tools and human intuition may yield the best results in trading [22].