$Rocket Lab USA, Inc.(RKLB)$ Up 1,156% over 3 years compared to $SPDR S&P 500 ETF Trust(SPY)$ 's 78%. Numbers like that don't come without taking on real volatility along the way. That chart has had multiple 30%+ drawdowns baked into the climb. The return is real, and so is the ride.

A few names on my radar right now. $Broadcom(AVGO)$  is breaking out of a daily and weekly flag. I'm watching for strength above $430 to target $450 on calls, with $472 as the key gap-fill area. The setup looks solid if momentum keeps going. $Micron Technology(MU)$  is still holding below daily trendline resistance. $930+ would be the trigger for calls toward $950+. The consolidation looks ready to resolve higher, and I'm watching call flow closely. $IBM(IBM)$  is bouncing from the $200 support zone. Calls above $240 could target $250 to $275 if momentum holds. $Palo Alto Networks(PANW)$  is in a strong

$MannKind(MNKD)$ Mannkind's first 200,000,000 in profit from its scPharma division will be tax-free. That is a meaningful tailwind to have going forward.

$Micron Technology(MU)$ Memory stocks seem to be stirring up a lot of debate lately, with some pretty opinionated takes on names like MU, SK Hynix, and SanDisk. Honestly, both sides can make valid points here. I'm still long memory. The near-term opportunity might just be a chance to build positions at better prices, with the understanding that growth isn't going to keep running at over 500% year-to-date. That kind of pullback is actually healthy. AI infrastructure bottlenecks rotate. Memory had its moment in the spotlight, and now photonics is getting attention again. That doesn't mean memory is finished, and I wouldn't be shorting any of these names either. A more measured memory cycle with steady compounding is probably better for the broade

$Micron Technology(MU)$  I think the "memory peak" call is early. MU mentioned 100% of its 2026 HBM4 is already sold out, while customers are only getting around 60-70% of what they requested. TrendForce still sees DRAM staying tight through 2027. On top of that, there was reportedly around $6B of Korean chip selling forced by leveraged ETFs. MU, SNDK, SKHYV. Price weakness isn't the same as demand weakness. Even if NVDA ends up trimming Rubin Ultra from 12-Hi to 8-Hi HBM to stretch limited supply across more GPUs, that doesn't suggest AI demand is slowing down. More accelerators still point to more scale-out connectivity. That's bullish for AAOI, LITE, COHR. From where I stand, this looks like rotation and forced

$Palantir Technologies Inc.(PLTR)$ Believe it or not, the float is drying up. $SPDR S&P 500 ETF Trust(SPY)$  $Apple(AAPL)$  iPhone 1. $Micron Technology(MU)$  and $SanDisk Corp.(SNDK)$  in January.

$Micron Technology(MU)$ Glad I added on that dip around 700. It pushed my average up quite a bit, but the position is still up five figures.

$SanDisk Corp.(SNDK)$ $Micron Technology(MU)$ From the SNDK earnings call, one of the more interesting dynamics mentioned was that some of their biggest customers are already coming back wanting more, just based on what they thought they needed three months ago.

$SanDisk Corp.(SNDK)$ $Micron Technology(MU)$  From the SNDK earnings call — they mentioned demand from customers is growing faster than supply. They expect bids to stay on allocation beyond calendar year 2027. For the first quarter of fiscal 2027, they guided revenue between 10.3 and $10.8 billion, with sequential growth driven by both bid growth and higher pricing.

The relationship between stocks and bonds has completely flipped. The 90-day correlation between the 10Y Treasury Yield and the S&P 500 is now at -0.48, its most negative reading since 1999. That means rising Treasury yields have recently been tied to weaker stock performance, while falling yields have helped equities. The current reading is even more negative than the 2022 bear market low of -0.42. For context, before the 2020 pandemic, the correlation was positive for over a decade, with Treasury yields and equities often rising together as higher yields reflected stronger economic growth. Right now, the negative correlation suggests investors are treating higher yields less as a sign of economic strength and more as a result of inflation uncertainty and fiscal concerns.

$Micron Technology(MU)$  Looking at the 3-month chart, you can see pressure building at the bottom. It looks like it could explode like a volcano.

SPX$SPDR S&P 500 ETF Trust(SPY)$ The doomsday crowd keeps blocking me, and honestly they don't need to announce it. This next part will probably get me even more blocked by them: S&P 500 just closed at a new record high.

$SPDR S&P 500 ETF Trust(SPY)$ 740, 750, 760 — those levels feel like a distant memory at this point. The focus now seems to be shifting toward 800, 810, 820.

$SPDR S&P 500 ETF Trust(SPY)$ Pretty confident in the people running things at the top. Hard to see how this setup could be much better, honestly. $Trump Media & Technology(DJT)$ 

$Micron Technology(MU)$ Productive day. Managed to wipe out a $50 loss and closed slightly up. The more sellers get cleared out, the more likely we start creeping higher from here.

$Micron Technology(MU)$ Micron can start buying back shares at the beginning of December, and Sanjay basically confirmed as much. Since that's before December earnings, they'll have to disclose the buyback program in September, around the time they beat and raise. The noise doesn't really matter here. I'm holding.

$Micron Technology(MU)$  Not long ago, Google's memory compression algorithm was all the buzz, and it dragged MU from the 500s down to the low 300s. That's where I loaded up more. It only took a handful of months before smart folks recognized it was just noise, and then the stock skyrocketed. This too shall pass. I do feel for those who don't grasp the technology and can't wrap their heads around the sheer scale of data centers going up across the planet, and the new industries forming — all sparked by a Google paper, "Attention is All You Need." It doesn't stop when data centers come online. Even setting aside humanoid robots and other technologies, the hardware refresh cycles in these data centers are getting sh

$SPDR S&P 500 ETF Trust(SPY)$  I see my trading approach as a voice of reason. 30 to 40 percent gains a year is reasonable if you do it through incremental gains. It's like moneyball. Singles and doubles, sometimes triples. No home runs. Just consistency. Avoiding risk and finding windows of price disconnect between fair value and the market. I've done 124.5 percent in 19 months. 30 to 40 percent a year is doable and replicable.

$SPDR S&P 500 ETF Trust(SPY)$ I figure AI has roughly 2-3 years of growth left in this cycle. But the shiny jacket says we're only in the 3rd inning.

$SPDR S&P 500 ETF Trust(SPY)$ As the 10-year yield moves higher, my three properties actually increase in value... I don't mind a higher 10-year.