
Stocker-Man
2.7K posts

Stocker-Man
@TheStockerMan
23 | $HIMS $ZETA $OSCR $NBIS $LMND $SOFI $DUOL | STOCKER20 - 20% off first sub👇| NFA 🕷️




I am continuing to accumulate $ASTS and $CRWV with their recent pullback. I want to begin with $CRWV. The more I study $CRWV, the more I think the entire investment case comes down to one thing and that is execution. Demand isn’t the problem. $CRWV now has roughly $99B in remaining performance obligations (backlog), giving it one of the largest contracted AI infrastructure revenue pipelines in the industry. Revenue is expected to grow from roughly $2B in 2025 to well over $10B annually within the next few years if management executes on existing customer demand. But here’s why the stock remains controversial. The balance sheet is aggressive. Tens of billions of dollars in debt and financing obligations. Billions more in planned AI infrastructure CapEx. Significant interest expense while the company is still scaling. The market isn’t questioning whether AI demand exists. It’s questioning whether $CRWV can build enough GPU capacity, deliver projects on time, and convert that $99B backlog into recognized revenue while improving profitability. These are the numbers I’ll be watching next earnings: - Backlog growth and how much converts into revenue. - Quarterly CapEx and whether spending is becoming more efficient. - Operating cash flow and free cash flow trends. - Gross margin and EBITDA margin progression as utilization increases. - Debt levels, interest expense, and any refinancing updates. Available liquidity and cash on the balance sheet. If utilization continues improving, each new data center should generate significantly more cash flow over time while fixed costs are spread across a larger revenue base. That’s why I’m less focused on today’s balance sheet and more focused on whether management is executing against the numbers. If they are, today’s leverage could look far less intimidating.





A lot of AI stocks are down today. But not all of them are good buying opportunities. So here's my top 5 large AI stocks to buy, and the best prices to buy them at: 1) $MU - I think we get a dip to $820, and once it gets there, that's going to be a great buying opportunity. 2) $SNDK - $1290 seems like a great buying opportunity, we got that as the end of the last wave, and 3) $SIVE - $34 would be an amazing opportunity to get a bid in. This one I think is the closest to bottoming out. The accumulation seems like it's starting earliest (as it has gone down the most). 4) $AAOI - I'd love to get in at $83 dollars... but I don't know if it's the most realistic. So, I'm DCAing in here at $108, and will load up heavy if we get there. 5) $QCOM - $166 seems like the perfect bottom for this one. I love this company, and believe it'll be one of the best investments in the future (along with $INTC). Like I said, some stocks will go lower than others. And some are better buys here than others. But these 5, in general, will be a great buying opportunity over the long term. All you have to do it hold.




$NFLX The business is still incredibly strong. The problem isn’t the fundamentals, It’s the valuation. With softer guidance, I don’t think the market is willing to keep paying the same premium multiple it was before. This feels a lot like $DUOL. Great business but softer outlook. let due multiple compression. The challenge now isn’t figuring out whether $NFLX is a good company. It’s figuring out where the market finally decides the valuation is attractive again. I was fortunate enough to catch $DUOL around $100 after its valuation reset. Now I’m asking myself the same question with $NFLX. Where’s the bottom?







$NBIS - support didn't hold It will very likely reach the $170 target. But even there, I wouldn't buy based on price alone; instead, I would wait for a bottom to form and watch for corresponding buy signals. If the bottom fails to form there and the downward trend continues at this pace, then the final target would be around $130. At that level, I firmly expect a successful bottom to form.











