图像 AI requires fundamentally different infrastructure than general-purpose cloud infrastructure. Simply put, AI data centers use a higher number of powerful $NVIDIA(NVDA)$ GPUs that eat a lot of electricity, requiring meaningful grid upgrades. Additionally, these GPUs generate more heat than a conventional data center, demanding improved cooling systems. This means that, unfortunately, using existing general-purpose data centers for AI workloads is just not economically viable. This is why we are witnessing this extreme data center buildout boom! In a colocation model, a company such as Cipher Digital builds the data center, secures energy, and equips it with cooling, networking, and other equipment. Then they secure a customer who signs a long-te
From $INTC to $NOK to $CRCL: Spotting the Next “Obvious” Trade
The biggest trade opportunities tend to have the most obvious catalysts. I've even struggled in the past taking trades that seem "too obvious"... But came to the conclusion that the best trade ideas always have the biggest catalysts. period full stop. Here are recent examples of "obvious" trade + what I see next: 1) space trade - in dec '25, elon confirmed spaceX would go public > the "too obvious" trade was to go long anything even remotely related to space ...results? every space name running 100%+ 2) the $Intel(INTC)$ trade - in august '25, the us gov't took a 10% stake in intel > the "too obvious" trade was to load the boat on $intc ...results? +400% in less than a year 3) the $Nokia Oyj(NOK)$ tr
We are currently in the midst of an AI boom, with many predicting that it will have a bigger impact on the economy and the stock market than electricity did! $NVIDIA(NVDA)$ has been the poster child of this new AI revolution, as AI start-ups and cloud hyperscalers are spending hundreds of billions of dollars on GPUs. While Nvidia became rich by selling AI picks and shovels, $NEBIUS(NBIS)$ aims to become rich by being an AI refinery and processor. In gold mining, after miners have used picks and shovels, before gold can be of any use, it must be refined and processed. Similarly, raw GPU power (picks and shovels) is not enough. To deliver great AI services, companies need to refine AI to make it faster, m
Scaling Into Size: A Smarter Way to Build Concentrated Positions
You don't have to go 100% "all in" a single stock, but concentration is how you make silly amounts of money. How to build really big positions *safely*: I like to build exposure in different ways, even through different vehicles...while also allowing myself to comfortably hold through volatility. 1) scale in via shares (earn your size) - take days/weeks/months to build a position - add on weakness inside strength (pullbacks, consolidations, higher lows) - avoid urgency...slow & steady is fine 2) trade around a core - establish a core position (exmpl: 1000 shares) - actively trade a smaller portion (100–300 shares)...lowers cost basis, generates cash flow - don't touch the core unless thesis breaks 3) include adjacent exposure across vehicles - via other equities in the same theme - via
List of ETFs I monitor for sector strength...my first step in finding more concentrated thematic strength. Basically a top down approach. Putting all of their charts side-by-side gives you an interesting perspective. Energy, $Energy Select Sector SPDR Fund(XLE)$ * oil, gas, energy production * exxon, chevron type names * moves with oil prices + macro supply/demand Financials, $Financial Select Sector SPDR Fund(XLF)$ * banks, insurance, asset managers * jpmorgan, goldman, berkshire * sensitive to interest rates + credit cycles Technology, $Technology Select Sector SPDR Fund(XLK)$ * software, semiconductors, hardware * apple, microsoft, nvidia * growth engine of the m
$GME: Cash War Chest + Treasury Hire = Strategic Pivot Ahead
$GameStop(GME)$ just quietly posted 2 executive roles at HQ this week. One in legal, the other in treasury...after a very quiet hiring stretch. What does this tell me? Welp, "global Treasury" = capital allocation shift. This is the interesting one. That role usually handles cash management, investments, M&A funding, capital structure (buybacks, debt, etc.). Meaning that they are prob prepp'ing to do something more sophisticated with cash. This CAN (and typically does) include acquisitions. Ryan Cohen's comments about "a very, very, very big" acquisition have me watching this change closely. Pair this with massive, unusual insider buying + a huge company cash position. I'm not saying an acquisition is guaranteed, but using my elementary school c