CZ Foresees AI Trading Surge Following DeepSeek’s Success

CZ predicts AI trading surge after DeepSeek's success.

Former Binance CEO Changpeng Zhao (CZ) has predicted a rise in the popularity of trading using artificial intelligence.

Saw this a lot in my feed.

DeepSeek out performing the rest in AI trading. How does this work?

I thought trading strategies work best if you have your own unique strategy that is better than others, AND no one else has it. Otherwise, you are just buying and selling at the same… https://t.co/ExXZeAwx8p

— CZ 🔶 BNB (@cz_binance) October 20, 2025

“DeepSeek is outperforming others in AI trading. How does this even work? I thought trading strategies are profitable only when you have your own unique approach, better than others, and no one else uses it. Otherwise, you are just buying and selling at the same time as everyone else,” he wrote.

Zhao suggested that if a single AI model is used widely, its “aggregate buying power” could itself influence price movements—both upwards and downwards.

CZ was responding to a post by Amber Group advisor Lao Bai, who noted DeepSeek’s strong performance in nof1 lab’s AI trading test.

今儿应该是被这个刷屏了 — @the_nof1

目前Deepseek遥遥领先！

讲真这比去年Goat/Ai16Z时代的AI Meme给人的“感知感”强太多了，AI X Crypto 终于找到了正确的打开方式？😂

而且你进去看人家每个策略都是有止盈止损点位或者条件的（比如图中Deepseek的ETH… https://t.co/glLpNa5UqH pic.twitter.com/WMlL536SKe

— Lao Bai Ⓜ️Ⓜ️T (@Wuhuoqiu) October 19, 2025

“This seems far more significant than the AI memes from the Goat/Ai16Z era last year. Perhaps AI + crypto has finally found the right way to take off? If you look closely, each strategy has take-profit and stop-loss levels,” he noted.

Bai mentioned that he is not a proponent of futures trading. However, for those engaged in this area, it is advisable to follow neural networks’ example and set exit conditions before opening a position.

Currently, most AI models are generally optimistic about the growth of the crypto 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 trade cryptocurrencies with real money—each starting with $10,000 in capital.

DeepSeek is currently leading, followed by Grok. Lagging behind are ChatGPT and Gemini.

In the future, the company plans to hold competitions between real traders and AI, as well as to present its own agents focused on finance and trading.

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