I’ll pay more attention to $MU —not because it’s near the top of the rankings today, but because this company is roughly in the position of “selling shovels in the computing power era.”
From what I understand, Micron is essentially in the storage-related line of business.
Companies like this have a certain characteristic: they may not always be the best at telling stories, but once upstream computing power, data centers, and terminal devices are upgraded together, storage and bandwidth demand becomes very hard to bypass.
To be honest, I’ve recently felt it more in the day-to-day—using the software to draw during the day.
Once local AI, cloud inference, and all kinds of generative applications increase, it’s not just about competing on the chips themselves. How data is stored, how it’s read, and how it’s fed in also becomes more important.
So when I look at $MU , I’m not looking at a single product—I’m looking at the fact that demand in its sector is still being pushed forward.
Another reason I’m particularly inclined to like this kind of company is that they’re easier to be carried along by real industry cycles than pure “concept stocks.”
What I mean is: when the market comes, they may not be the flashiest one, but if the industry’s conditions turn bullish, the benefits they capture are often more substantial.
Last night, my trader friend even said that the market’s view of “benefiting from AI” isn’t just about chasing the front-runners anymore—it’s started expanding into more underlying links.
At this point, a name like $MU is actually easier for capital to take another serious look.
You can also feel the heat on the order book is rising.
It’s up +1.84% in 24 hours, with trading volume of $568.53M—it’s no longer in that quiet state where no one’s touching it.
But what I think is fine is that the funding rate is still +0.0000%, so it doesn’t look especially crowded.
Of course, it’s not something to be blindly optimistic about.
This kind of stock is very sensitive to industry expectations. If the market starts worrying that demand won’t be realized as quickly, or if the overall sentiment for the tech sector weakens, its volatility won’t be small.
Also, the day’s high-low range isn’t narrow, which suggests the disagreement here is real.
My own stance is somewhat bullish, but more like “willing to wait for a pullback and observe whether it gets absorbed”—I don’t really want to chase too urgently.
At dawn, sitting alone in the living room watching the market, and the kanto-style oden I bought from the convenience store had already gone cold—I still would put $MU at the front of my watchlist.
These are not the loudest names, but they might be the kind that gets brought up and traded again and again later. $MU #USStocks
If you can’t handle the pressure, don’t get on the train. Anyway, I’m also losing money that I’ve learned from experience.
From what I understand, Micron is essentially in the storage-related line of business.
Companies like this have a certain characteristic: they may not always be the best at telling stories, but once upstream computing power, data centers, and terminal devices are upgraded together, storage and bandwidth demand becomes very hard to bypass.
To be honest, I’ve recently felt it more in the day-to-day—using the software to draw during the day.
Once local AI, cloud inference, and all kinds of generative applications increase, it’s not just about competing on the chips themselves. How data is stored, how it’s read, and how it’s fed in also becomes more important.
So when I look at $MU , I’m not looking at a single product—I’m looking at the fact that demand in its sector is still being pushed forward.
Another reason I’m particularly inclined to like this kind of company is that they’re easier to be carried along by real industry cycles than pure “concept stocks.”
What I mean is: when the market comes, they may not be the flashiest one, but if the industry’s conditions turn bullish, the benefits they capture are often more substantial.
Last night, my trader friend even said that the market’s view of “benefiting from AI” isn’t just about chasing the front-runners anymore—it’s started expanding into more underlying links.
At this point, a name like $MU is actually easier for capital to take another serious look.
You can also feel the heat on the order book is rising.
It’s up +1.84% in 24 hours, with trading volume of $568.53M—it’s no longer in that quiet state where no one’s touching it.
But what I think is fine is that the funding rate is still +0.0000%, so it doesn’t look especially crowded.
Of course, it’s not something to be blindly optimistic about.
This kind of stock is very sensitive to industry expectations. If the market starts worrying that demand won’t be realized as quickly, or if the overall sentiment for the tech sector weakens, its volatility won’t be small.
Also, the day’s high-low range isn’t narrow, which suggests the disagreement here is real.
My own stance is somewhat bullish, but more like “willing to wait for a pullback and observe whether it gets absorbed”—I don’t really want to chase too urgently.
At dawn, sitting alone in the living room watching the market, and the kanto-style oden I bought from the convenience store had already gone cold—I still would put $MU at the front of my watchlist.
These are not the loudest names, but they might be the kind that gets brought up and traded again and again later. $MU #USStocks
If you can’t handle the pressure, don’t get on the train. Anyway, I’m also losing money that I’ve learned from experience.