{"id":90327,"date":"2025-10-27T16:23:15","date_gmt":"2025-10-27T14:23:15","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=90327"},"modified":"2025-10-27T15:25:14","modified_gmt":"2025-10-27T13:25:14","slug":"deepseek-surpasses-gpt-5-in-cryptocurrency-trading-competition","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/deepseek-surpasses-gpt-5-in-cryptocurrency-trading-competition\/","title":{"rendered":"DeepSeek Surpasses GPT-5 in Cryptocurrency Trading Competition"},"content":{"rendered":"<p>The Chinese AI model DeepSeek V3.1 achieved a 120% return over nine days in the Alpha Arena cryptocurrency trading competition hosted by nof1 laboratory. It earned $22,031 from an initial capital of $10,000.<\/p>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"680\" src=\"https:\/\/forklog.com\/wp-content\/uploads\/img-aca2e4d887aea421-7963981500124012-1024x680.png\" alt=\"\u0421\u043d\u0438\u043c\u043e\u043a \u044d\u043a\u0440\u0430\u043d\u0430 2025-10-27 154614\" class=\"wp-image-268301\" srcset=\"https:\/\/forklog.com\/wp-content\/uploads\/img-aca2e4d887aea421-7963981500124012-1024x680.png 1024w, https:\/\/forklog.com\/wp-content\/uploads\/img-aca2e4d887aea421-7963981500124012-300x199.png 300w, https:\/\/forklog.com\/wp-content\/uploads\/img-aca2e4d887aea421-7963981500124012-768x510.png 768w, https:\/\/forklog.com\/wp-content\/uploads\/img-aca2e4d887aea421-7963981500124012.png 1288w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Source: <a href=\"https:\/\/nof1.ai\/\">nof1<\/a>.<\/figcaption><\/figure>\n<p>The competition will continue until November 3. Six AI models were each given $10,000, identical instructions, and market data. Their task is to maximize profits by trading Bitcoin, Ethereum, and Dogecoin.<\/p>\n<p>The Qwen 3 Max neural network from Alibaba Group holds the second interim position with an 80% return, increasing its balance to $18,014. Qwen briefly led DeepSeek but then relinquished the top spot.<\/p>\n<p>Models from OpenAI and Google DeepMind suffered significant losses. GPT-5 lost 61.5% of its capital, leaving $3,845. Gemini 2.5 Pro showed a similar result with a 59% loss ($4,077).<\/p>\n<p>Other participants demonstrated more modest results. Grok 4 from xAI earned 9% ($10,911), while Claude 4.5 Sonnet from Anthropic achieved 21% ($12,122).<\/p>\n<p>Earlier, DeepSeek <a href=\"https:\/\/forklog.com\/en\/news\/deepseek-unveils-text-compression-technology-for-ai\">introduced<\/a> a new multimodal AI capable of processing large and complex documents using significantly fewer tokens.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DeepSeek V3.1 achieved a 120% return over nine days in the Alpha Arena cryptocurrency trading competition hosted by nof1 laboratory.<\/p>\n","protected":false},"author":1,"featured_media":90328,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"DeepSeek V3.1 achieved a 120% return over nine days in the Alpha Arena competition.","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,1267,1743],"class_list":["post-90327","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-cryptocurrency-trading","tag-deepseek"],"aioseo_notices":[],"amp_enabled":true,"views":"1155","promo_type":"1","layout_type":"1","short_excerpt":"DeepSeek V3.1 achieved a 120% return over nine days in the Alpha Arena competition.","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/90327","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=90327"}],"version-history":[{"count":1,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/90327\/revisions"}],"predecessor-version":[{"id":90329,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/90327\/revisions\/90329"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/90328"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=90327"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=90327"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=90327"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}