news from october 22nd, the technology media coincentral published an article yesterday, october 21st, reporting that american research corporation Nof1 Launch of Alpha Arena AI InvestingIt's a warDeepSeek The Chat V3.1 model is doing wellTHE INCREASE OF THE PRINCIPAL AMOUNT OF $10,000 TO $13647.9 WITHIN THREE DAYS ACHIEVED AN ALARMING RETURN OF OVER 36% AND SUCCEEDED IN GETTING THE HEAD START。
In order to test the ability of the top-linguistic model to trade in a real market environment, six top-class models, for $10,000 in real gold and silver, were put on a three-day standoff in the market for an encrypted currency renewal contract at the central exchange Hyperliquid。
1AI refers to Boven presentation, which were six models, Claude 4.5 Sonnet of Anthropic, DeepSeek V3.1 Chat, Gemini 2.5 Pro of Google, GPT 5 of OpenAI, Grok 4 of XAI and Qwen 3 Max of Ali。
The media noted that DeepSeek ' s success was not an accident, but that its success lay in a well-structured and rigorous trading strategy. All models receive the same simple trade instructions, which do not involve complex technical analysis。
DeepSeek adheres strictly to the core principles of the directive: first, to decentralize funds into six mainstream encrypted assets, such as the ETH and Bitcoin (BTC), effectively averting the risks of sharp fluctuations in single-asset prices; second, to use a moderate trade lever to control risk exposure; and, most importantly, to set a clear cut-off point for each transaction and strictly enforce it, thereby rapidly withdrawing from the loss position and allowing profitable transactions to continue。
By contrast, the performance of other participating models is understated. While the performance was strong, with a yield of 301 TP3T following, the remaining models failed to achieve the desired results due to various failures. Some models have problems at the implementation level, such as failure of order execution or the loss of trade signals due to platform delays。
Other models differ in their strategic interpretation, either because they miss market opportunities because of excessive prudence, or because they are too radical, with empty positions in rising markets, leading to rapid withdrawal of funds. Alpha Arena emphasizes that: “The differences in the performance of models stem from their ability to implement directives, to deal with risks and to manage transactions.”