Чанпэн Чжао предсказывает революцию в ИИ-трейдинге благодаря DeepSeek Translation: Changpeng Zhao Predicts a Revolution in AI Trading Thanks to DeepSeek

Former Binance CEO Changpeng Zhao (CZ) forecasted an increase in the popularity of AI-assisted trading.

«DeepSeek is outperforming others in the AI trading sphere. How does this even work? I once thought that profitable trading strategies required a unique approach that surpassed all others and wasn’t widely adopted. Otherwise, you’re just buying and selling alongside everyone else,» he stated.

Zhao acknowledged that widespread use of the same AI model could exert an influence on price movements – both upwards and downwards – due to its «collective purchasing power.»

CZ reacted to a post by Amber Group advisor Lao Bai, who flagged DeepSeek’s impressive performance in the nof1 laboratory’s AI trading test.

«This feels significantly more substantial than the AI memes from last year’s Goat/Ai16Z. Could it be that AI and cryptocurrencies have finally found a successful avenue for growth? If you look closely, every strategy includes levels for take-profit and stop-loss,» he commented.

Bai specified that he does not support futures trading. For those who do engage in it, he advised following the example of neural networks and determining exit conditions prior to opening a position.

Currently, most AI models are generally optimistic regarding the growth of the cryptocurrency market, the expert emphasized.

The nof1 team launched an experiment to evaluate the investment capabilities of popular models. In the test, six top neural networks are trading cryptocurrencies with real money, each starting with a capital of $10,000.

DeepSeek is currently in the lead, followed by Grok. ChatGPT and Gemini are lagging behind.

In the future, the firm plans to host competitions between real traders and AI, as well as present its own agents focusing on finance and trading.

Previously, a student from rural Oklahoma allowed ChatGPT to manage $100 and significantly outperformed the market in terms of returns.