chipzzy
chipzzy
Market optimism leads to financial freedom
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avatarchipzzy
07-10 07:36
I see a lot of folks aren't on the same page as me when it comes to $Applied Optoelectronics(AAOI)$ , $Silver Verde May Mining Co., Inc.(SIVE)$ , $Micron Technology(MU)$ , and other AI-related names. The market sentiment seems split into two camps right now. On one side, there's extreme optimism for a rapid V-shaped recovery back to previous highs. On the other, there's a belief that the AI bubble is on the verge of popping. From my perspective, it feels more like we're heading into a period of consolidation and accumulation. Before the next significant leg up, the market might need some time to establish a more solid foundation. I realize many funda
avatarchipzzy
07-10 05:41
$NVIDIA(NVDA)$ $Micron Technology(MU)$  $SanDisk Corp.(SNDK)$ Looking at the next two fiscal years' earnings and free cash flow projections, I used the low, mean, and high estimates to rank and score for overall "Value." These three names are by far the best value plays in the AI hardware space.
avatarchipzzy
07-09 07:55
$SPDR S&P 500 ETF Trust(SPY)$ $Invesco QQQ(QQQ)$ If you didn't know how $Micron Technology(MU)$  has performed this year and just looked at the current fundamentals—including recent earnings and forward guidance—it would look like a buy every single time.
avatarchipzzy
07-09 06:32
Looks like it's bouncing from the second target and just printed a bullish engulfing candle. This is the exact scenario I was watching: support holding, buyers stepping in, and price starting to push toward the next resistance levels. The key now is whether $Micron Technology(MU)$  can follow through with volume and continue reclaiming important levels. A single candle doesn't confirm a trend, but the reaction at support is worth watching. The sequence is target two, then a bounce, and a potential move toward more targets. What do you think? Does that line up with your view?
avatarchipzzy
07-09 05:22
$Micron Technology(MU)$ Bank of America is raising its hyperscaler capital expenditure spending forecast. They estimate 55% to 60% of that goes to AI servers and GPUs, which should benefit names like $NVIDIA(NVDA)$ , $Broadcom(AVGO)$ , $Dell Technologies Inc.(DELL)$ , $Celestica(CLS)$ , and MU. From where I stand, it feels like the party isn't over yet—the music is still playing.
avatarchipzzy
07-09 00:44
$Micron Technology(MU)$ If the market turns green again, I think this could reach 1,000.
avatarchipzzy
07-07
The setup for $Roundhill Memory ETF(DRAM)$  / $SK hynix(SKHY)$  is driven by a structural supply narrative that's getting more attention from traders. The core idea is that DRAM pricing is in a prolonged upcycle due to persistent undersupply, with expectations for strong pricing power to last for the next couple of years. If the projected trend holds, each quarter could keep setting new highs for revenue. Some forward-looking models point to significant scale expansion by later-cycle periods, like Q4 2027. At that stage, estimates suggest potential revenue in the hundreds of billions per quarter range with unusually high margins. That's why sentiment around $
avatarchipzzy
07-05
The memory cycle is looking quite extreme on the margin side. Q2 estimates point to around 91% DRAM gross margins, which really shows how tight supply conditions are in this AI-driven storage cycle. With the upcoming Nasdaq listing under $SK hynix(SKHY)$ , it provides a more direct access point for investors to the global memory trade, alongside existing exposure through MU. The key point isn't just the listing, but the timing—it's happening while DRAM pricing power is accelerating and AI infrastructure demand is still expanding. Memory is no longer a lagging segment in semis; it's becoming a core leverage point in the AI stack.
avatarchipzzy
07-03
It seems like there's a lot of interest in $SanDisk Corp.(SNDK)$ , $Micron Technology(MU)$ , $SK hynix(SKHY)$ , and SSNLF. The sentiment around them appears to be quite positive.
avatarchipzzy
07-02
avatarchipzzy
07-02
Like $Micron Technology(MU)$ , these trillion-dollar behemoths are also in the red at the moment. This looks more like a technical move than anything fundamentally driven.
avatarchipzzy
07-02
$Meta Platforms, Inc.(META)$ $Micron Technology(MU)$  and META are showing the most bullish flow by far today. It's one of those days where the positioning really stands out if you're watching the tape in real time. What I'm seeing is aggressive upside flow into both names, consistent call buying even on dips, and momentum leaning into strength instead of fading it. There's clear relative strength versus the broader tech sector. This doesn't guarantee direction, but it does indicate where the appetite is right now. When you see a mega-cap like META and a semi name like MU both getting this kind of flow, it often signals risk-on positioning building underneath the surface. It's worth watching into
avatarchipzzy
07-02
$Micron Technology(MU)$  $Rocket Lab USA, Inc.(RKLB)$  just posted earnings and revealed 16 new contracts, each well over $100M. Yet the stock is extremely volatile, swinging up 10%, down 10%, up 8%, down 7%. It feels more like a wild ride than a steady move based on fundamentals.
avatarchipzzy
06-30
Memory stocks are clearly one of the core engines of this AI cycle, especially as data center demand keeps scaling faster than supply can adjust. Names like $SanDisk Corp.(SNDK)$  and $Micron Technology(MU)$ , with their massive YTD performance, highlight how pricing power and tight HBM/DRAM supply are driving the entire sector. The structural point is straightforward: AI compute growth isn't just about chips, it's about memory bandwidth, and that bottleneck still isn't resolved. That's why the narrative has expanded from semis in general to a more focused "memory supercycle" theme. Whether through single names or basket exposure like $Roundhill Memory ETF(DR
avatarchipzzy
06-30
The AI tape in 2026 is still running hot, with memory clearly leading the charge. You don't ignore moves like this: $SanDisk Corp.(SNDK)$  +604% - a full-blown re-rating, the trend stayed persistent through volatility SK Hynix +295% - structural HBM demand, still central to the AI compute stack $Micron Technology(MU)$  +238% - a slower start, but now fully aligned with the cycle expansion This is what leadership looks like when capex and AI demand remain intact.
avatarchipzzy
06-30
$Micron Technology(MU)$  The weak hands are out. Now we can move into the green. A massive stock buyback program is coming later this year. Once the CHIPS Act "rules" are out in December, Micron can start buybacks. According to analysts, Micron could buy back 10% by 2027. That's significant.
avatarchipzzy
06-29
$Micron Technology(MU)$ Micron's New York campus has been approved to build up to four fabs. Each fab building measures around 27.5 acres under a single roof, roughly equivalent to 21 football fields. I'm sure they'll only build each one as driven by demand. The days of overcapacity are likely in the rearview mirror.
avatarchipzzy
06-26
At $1231 for $Micron Technology(MU)$  vs $194 for $NVIDIA(NVDA)$  — I'm taking NVDA every time. Reason is simple: NVDA = platform + ecosystem + demand lock-in. MU = cycle + pricing power swings + higher volatility. One is compounding its leadership in AI compute. The other is more tied to memory cycles. At similar "growth narrative" moments, I prefer the name with structural dominance.
avatarchipzzy
06-26
Daily turnover surpassed $70 billion for the first time, ahead of both $NVIDIA(NVDA)$  and TSLA. This metric has increased significantly since the start of 2026. $Micron Technology(MU)$  remains a major contributor to the S&P 500's year-to-date gains as a key focus in the AI space.
avatarchipzzy
06-25
I'm sharing four stocks I believe can compound for decades ahead: $Micron Technology(MU)$  — trading at around 10x forward earnings $Meta Platforms, Inc.(META)$  — around 16x $NVIDIA(NVDA)$  — around 16x $Microsoft(MSFT)$  — around 18x What stands out isn't hype, but the valuation relative to their long-term earnings power and dominance in AI, cloud, and infrastructure. These are businesses already embedded in global tech spending cycles. The focus is simple: strong cash flow, durable moats, and long-term demand drivers. If you're not following closely, you might see the move after it's already happened

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