NVDANVIDIABullishNVIDIA

8/27/2026 on

NVDA is going to break all time highs. For the NVDA funding shorts, they’ll cover quickly. For the underweight long only managers, that’ll take a bit longer. https://t.co/NbtTdRY9qN

NVDANVIDIANeutralNVIDIA

6/20/2026 on

Pretty cool, maybe Jensen knows what he’s doing. But idk, I saw a bunch of finance people on Twitter who didn’t know what a token was until last year say that Nvidia doing AI PCs was stupid. https://t.co/ktg36ZrNrs

NeutralNVDANVIDIANVIDIA000660SK hynixSK hynixAAOIApplied Optoelectronics, Inc.Applied Optoelectronics, Inc.CRDOCredo Technology Group HoldingCredo Technology Group HoldingSKHYSK hynixSK hynixSOXLDirexion Daily Semiconductor BuDirexion Daily Semiconductor BuVRTVertiv Holdings, LLCVertiv Holdings, LLC

5/20/2026 on

Three years ago today, on May 20th, 2023, I started compiling CitriniResearch’s first thematic primer “Artificial Intelligence: Global Equity Beneficiaries”. The thesis was simple - if a bit controversial back then - AI compute demand would go beyond lifting just Nvidia, the massive scaling of data center infrastructure would mean that valuations in most of the semiconductor sector (at the time reflecting COVID supply gluts & recession fears) were far too low. When I wrote this, SMH was still in a 30% drawdown from its 2021 highs. Because it would be far too difficult to predict what AI looked like in 5 years, I decided the best risk reward was in the beneficiaries of AI Capex spending - Phase 1, or the “global data center hyperscaling”, was the bottleneck for everything else. The best risk reward was indeed in the data center infrastructure, and I got most of that right (as expected, the further in the future predictions were shakier). It makes me extremely proud to go back and read this piece - the mark of truly good work is that it is enduring. A subscriber could have gone and re-read this at any point in the past three years and found solid ideas. It’s free to go back and read it, keep in mind this was published in May 2023. It calls for outperformance in GPUs, Memory, Optical Interconnects, Semicap, Power Density, Cooling, Memory Testing and more. All 1-2 years before most of the trades became consensus. Nearly everything that we said would outperform in the first phase of the AI trade has done so, to a massive degree. Some of the best performers out of the names that were highlighted in this piece: Applied Optoelectronics +6850% SK Hynix +1800% Vertiv +1450% Hanmi Semi +1435% CRDO +1160% My original goal was to publish just three thematic primers on the trends I thought would define the decade: AI, peptides and government spending. However, those themes required more coverage. The AI trade evolved, the fiscal trade became more important than ever. Three years later, I’ve parlayed the early success of our work to build CitriniResearch and its team of analysts to produce the kind of equity research I would want to read. https://t.co/pVv4ifWsmj