$Advanced Micro Devices(AMD)$  AMD's record $4.75 billion bond offering gives it the financial flexibility to support the accelerating 2-to-5-year stock price targets, with the long-term consensus moving higher as capital constraints get de-risked. Before the raise, Wall Street's 12-month average target was around $546 to $582, but the fresh capital lets institutional analysts model more aggressive multi-year growth. The bond sale directly affects the 2028 to 2029 valuation models by giving AMD the balance sheet capacity to meet the big commitments ahead. AMD entered the second half of 2026 with $30.3 billion in unconditional commitments for wafers, substrates, and components. Securing $4.75 billion at favorable

$Advanced Micro Devices(AMD)$ RMTG is expanding Cellgenic into Argentina, setting up a regulated platform for biologics distribution, physician education, and regional growth across Latin America.

$NVIDIA(NVDA)$  I've said this before, more than a few times actually. As long as AI spending and demand keep rising, NVDA's stock price should keep climbing with it. Four years and counting.

A few names on my radar right now. $Dell Technologies Inc.(DELL)$  broke out of an ascending flag on the weekly, but it is failing to hold $500. I am looking at puts below $485 and calls above $500. If it clears $500, there is a chance for a bigger breakout toward $525 and $550. $Advanced Micro Devices(AMD)$  is forming a tight channel on both the daily and weekly charts. I am watching for an upside move above $515 and $520 for a potential breakout toward $540 and beyond. $Micron Technology(MU)$  announced the launch of its $250M Micron Ventures Paradigm Fund. The stock is breaking out of its channel. Watching to see if it breaks $1,000 to add calls f

$Ondas Holdings Inc.(ONDS)$ A breakout above $10.58 could be significant. The setup looks worth watching.

$Ondas Holdings Inc.(ONDS)$ Nobody seems to be selling, it feels like most are holding on because they don't want to miss a potential breakout above $14, and then a move past $16 toward $20+. $BlackBerry(BB)$  $Red Cat Holdings Inc.(RCAT)$  $Unusual Machines Inc(UMAC)$  $Advanced Micro Devices(AMD)$ 

NASDAQ 100 stocks that have more than doubled in 2026 (Part 2). The list keeps getting stronger: $Marvell Technology(MRVL)$  +157%, $Western Digital(WDC)$  +152%, $Lumentum(LITE)$  +142%, $Advanced Micro Devices(AMD)$  +126%. A clear theme here — semiconductors and AI infrastructure continue to dominate the strongest performers. After moves this large, I'm more interested in watching which names can hold their gains than simply chasing performance. The next move usually starts before everyone notices. Stay prepared, not reactive.

$Netlist, Inc.(NLST)$ I've been buying NLST whenever I can. Been following this name for about a year now. I asked Grok what could be the next SNDK or MU, and this is the one that came up. Still feels early here.

$Taiwan Semiconductor Manufacturing(TSM)$ I don't think the biggest AI opportunities come from just watching a single stock. They come from understanding the rotation. The way I track the AI ecosystem goes through semiconductors first: SMH, and within that NVDA, TSM, AVGO. The key insight for me is that capital tends to rotate before the headlines show up. When one part of the AI ecosystem gets crowded, money often moves into the next bottleneck. That's why I track sector strength and weakness instead of chasing yesterday's winners. The AI buildout is a multi-year cycle. The goal is finding where capital is moving before everyone notices. Follow my profile for more AI infrastructure, sector rotation, and next-generation technology analysis.

$Advanced Micro Devices(AMD)$ $ARM Holdings(ARM)$ $Marvell Technology(MRVL)$ Portfolio's holding up well today. Managed to catch this dip almost perfectly, though of course I wish I had added more. Now just waiting to see how AMD plays out so the setup can carry some momentum into the next session.

The next phase of the semiconductor cycle could separate the true winners from the rest. The AI buildout is creating massive demand, but not every company in the ecosystem will benefit equally. Potential long-term leaders include $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ , $Dell Technologies Inc.(DELL)$ , and AVGO. The winners will likely be companies with critical technology advantages, strong customer relationships, pricing power, and the ability to scale with AI infrastructure demand. The companies that fall behind may struggle with limited differentiation, weak margins, too much competition, and exposure to slowing demand areas. AI is lifti

$Advanced Micro Devices(AMD)$ Can't stop buying at this price. This is a gift.

$Taiwan Semiconductor Manufacturing(TSM)$  TSMC continues to look like the biggest bottleneck in the AI supply chain, and demand for its leading-edge nodes keeps getting stronger. The company is expected to reach roughly 180,000 3nm wafers per month early in Q4, while $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ , and $Broadcom(AVGO)$  continue locking in as much capacity as possible. That doesn't happen unless customers see sustained AI demand ahead. What's even more interesting is that 2nm demand is accelerating fast, with monthly output projected to approach 100,000 w

$SPDR S&P 500 ETF Trust(SPY)$ Bears are quiet below. Feels like the setup is green for tomorrow for NVDA.

Picking my favorite name in each sector, plus where I think price could be in three years. Starting with AI infrastructure. $NEBIUS(NBIS)$  (Nebius Group) The shortage in AI compute looks like a big opening for next-gen cloud infrastructure. What stands out to me about NBIS: backed by $NVIDIA(NVDA)$ , around $10B in cash, roughly $50B in backlog, and they are building a full-stack AI cloud platform. The thinking here is that hyperscalers are pouring hundreds of billions into AI infrastructure, but demand still outruns available capacity. The winners might not just be the chip designers. It could also be the companies actually providing the compute capacity behind the AI buildout. My three-year p

I'm still extremely bullish on $NVIDIA(NVDA)$ , and the reason is pretty straightforward: demand continues to run ahead of supply. GPU rental markets are showing strength across H100s, A100s, H200s, and the newer B200 systems. When companies are still paying elevated prices just to lock in compute capacity, it tells me the AI buildout is nowhere near finished. The takeaway seems clear. AI training and inference workloads are still expanding. Demand for advanced silicon remains stronger than available supply. The argument that the GPU shortage is over looks premature. Higher rental rates ultimately reinforce NVIDIA's pricing power and margin story. The biggest beneficiaries may extend beyond NVIDIA — neoclouds, power providers, and data center

$Taiwan Semiconductor Manufacturing(TSM)$ AVGO and TSM finally saw the algos reverse. The short-term market pressure over the last week or so looks like noise to me. Big Tech's spending spree is expected to top $700 billion this year, mostly on AI, and Morgan Stanley has the estimated spend at more than $1 trillion for next year. A large chunk of that flows to Broadcom and TSMC. Both are solid names to hold, and I think we could see $500 by year-end.

$NVIDIA(NVDA)$  I just added more and plan to keep adding. Will I trim a bit from time to time? Sure, I will. But I always keep a core position. I'm familiar with that location from driving by there in the past.

$Advanced Micro Devices(AMD)$ Calling a crash here seems off the mark. They just announced a deal with Anthropic and Microsoft, and their best earnings in history are coming out soon. This looks more like a major bear trap. I'm loading up.

$Qualcomm(QCOM)$ Clutching at straws here, but for once we're actually showing some relative strength compared to NVDA, AMD, TSM and the rest.