This round of the US stock market is quite interesting.

The S&P has already reached around 7500, the NASDAQ is also at a high level, NVDA is above $210, and TSLA has returned to around $400.
It seems like there are opportunities everywhere, especially in AI stocks, tech stocks, and earnings stocks. Just scrolling through the information flow, there are always people talking about the next wave of the market.
But now, I am becoming more cautious about the US stock market.
AI indeed makes research simpler.
In the past, looking at a company required reviewing financial reports, conference calls, news, valuations, competitors—by the end, your brain would be fried. Now, handing it over to AI, it can organize a bunch of logic, risk points, and trading hypotheses in just a few minutes.
This thing is very useful.
But it can also easily create an illusion: the faster you see the data, the more you think you understand; the better you organize the logic, the more confident you feel about placing orders.
Many losses probably start from this point.
After reading AI summaries, you feel the company is good;
seeing a pre-market rally, you feel funds are coming in;
then scrolling through a few bloggers with similar views, your hands start to itch.
And then, once you buy in, the market immediately teaches you a lesson.
The harshest thing about the US stock market is that it appears very logical on the surface, but in reality, the volatility is not gentle at all. Especially tech stocks and AI stocks—one big bullish candle can make you feel like you’ve caught the wave of the era, but a gap-down open can shatter your mindset instantly.
So now, I prefer to treat AI as a “research partner.”
Let it help me analyze financial reports, organize news, compare companies, identify risk points, and turn vague ideas into observable trading conditions.
Whether I place an order, how much to allocate, how to exit if wrong, how to judge if profits are due to valid logic or just catching the market trend—these are still my responsibilities.
Don’t use AI as a cash machine.
If it were that simple, Wall Street would have nobody working anymore.
The US stock market is very suitable for AI + quantitative research because of abundant data, good liquidity, and high information density.
But whether it can survive long-term still depends on the trading system, risk control, and review. #大漠茶馆 #Quantitative Trading #美股 #OpenClaw