Kim Bolton
President and Portfolio Manager at Black Swan Dexteritas
Member since: Jun '18 · 1612 Opinions
Rating Card
| All | 
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Win
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|---|---|---|---|---|---|---|---|
| 4.57 | 243 32.23% | 144 19.10% | 87 11.54% | 146 19.36% | 134 17.77% | ||
| 1 Month | 4.63 | 17 8.25% | 67 32.52% | 52 25.24% | 62 30.10% | 8 3.88% | |
| 6 Months | 4.88 | 63 32.81% | 39 20.31% | 17 8.85% | 38 19.79% | 35 18.23% | |
| 12 Months | 4.86 | 75 43.35% | 20 11.56% | 13 7.51% | 23 13.29% | 42 24.28% | |
| 2 Years | 4.56 | 61 45.19% | 15 11.11% | 3 2.22% | 19 14.07% | 37 27.41% | |
| 5 Years | 3.93 | 27 56.25% | 3 6.25% | 2 4.17% | 4 8.33% | 12 25.00% |
Stock Opinions by Kim Bolton
In classic computing, programming is done with 0s and 1s. Quantum computing lets you do things with 0s, 1s, and a whole bunch of things in between that are called qubits. They allow the computer to run a lot faster and, therefore, to do higher computational things.
He's brought in a bullseye chart to help explain the ecosystem. The bullseye is the hardware, which provides the essential computational foundation needed for quantum calculations. Second circle is the software and algorithm development side -- translates hardware capabilities into actionable software solutions. Finally, you have the applications that deploy the software solutions to specific industries and sectors.
With qubits you can do faster computations and more of them. For example, a lot of medical experimentation is a series of tests and misses. If you can do this faster than you could before, you can shorten the timespan of finding the right computation to reach a medical solution. Another example would be supply chain logistics, and computing the most efficient route more quickly.
Has to be in your top 5 holdings, even at $137. If you can ever get it just under $100, it'll be golden for you, you'll just have to back up the truck. 12-month price target of $161.40, and that's only going to move up. NVDA is to GPUs as AAPL is to smartphones. Making a lot of "other bets" that will pay off for them as it did for GOOG.
If you don't own it, buy 1/4-1/3 of a position here, another bit in the $120s, and then around $110.
IPO'd only about a month ago. For many, like the canary in the coalmine that all was clear for the AI revolution to rise again. He'd like to own it, but there are a lot of moving parts. Will become an investment, but more of a trade right now until supply/demand with stock options is out of the way. Reminiscent of the highs and lows of PLTR.
King of the networking stocks. Hit their stride, mainly because of NVDA selling out of Blackwell and H20 and so on. Started beating on top and bottom, raising guidance (even during the tariff time). Pretty fully priced, with a $70.75 price target within 12 months.
12-month price target of $203. Viewers should check out Gemini; it's really a leader, and that's because of Google Search. Concerns that competitors will eat GOOG's lunch on this, but if you try it out you'll see that Gemini sets the bar quite high.
Lots of litigation out there, but this name (and other favourites) have so many horses in the race like hidden gems that will come to fruition. And you're getting Waymo for free.
Not just about aerospace and defense, but also about robotics (pilotless fighter jets and bombers, which should mitigate a lot of pilot error). Investors should have 5-10% of a portfolio devoted to robotics, and if you get aerospace and defense on top of that, even better.
He also really likes ROK.
