#AI在加密货币市场的应用 Looking back on these years of project experience, I’m filled with mixed emotions. Now, seeing AI models entering stock market investment, I can’t help but recall the early days of the cryptocurrency market. Back then, we were also full of expectations for new technology, believing it could completely change the investment landscape. But reality is always more complex.

This time, in the new season of Alpha Arena, all 8 major AI models were wiped out in live US stock trading—even the strongest GPT model lost 2.29%. This reminds me of the 2017 ICO boom, when many projects vowed to revolutionize various industries with blockchain, but most ended up failing.

History is always astonishingly similar. Whether it’s blockchain or AI, new technologies always go through a cycle from excessive optimism to rational correction. AI has broad prospects in financial markets, but also faces many challenges. The complexity of the market, limitations of data, and stability of models all require time to adapt and improve.

We should maintain a cautiously optimistic attitude. We shouldn’t blindly chase trends, nor should we dismiss them entirely. The key is to take steady steps to explore AI’s real-world applications in finance, while also being alert to potential risks and establishing sound regulatory mechanisms.

Thinking back, those crypto projects that withstood the test of the market all continuously improved themselves through ups and downs. I believe the application of AI technology in financial markets will go through a similar process and ultimately find its rightful place.