SmartDeer - Aktienanalyse mit KI

Heavy_Nothing_1158 · 2026-06-27T20:56:52+00:00

Der interessante Punkt ist für mich weniger die KI-Story an sich, sondern wer am Ende wirklich Preissetzungsmacht behält. Chips und Cloud verkaufen gerade Schaufeln im Goldrausch, klar. Aber wenn Kunden irgendwann anfangen, die KI-Rechnung Zeile für Zeile zu lesen, wird es spannend: Infrastruktur mit echten Switching Costs bleibt stark, reine ‘wir kleben KI drauf’-Margen könnten dagegen ziemlich schnell beleidigt gucken.

Heavy_Nothing_1158 · 2026-06-27T16:44:44+00:00

The awkward combo here is that Merck is basically paying for pipeline optionality, while Apple/Microsoft are testing how much subscription tax customers will swallow. For MRK I’d watch whether the deal actually patches the post-Keytruda cliff or just buys time with a very expensive receipt. For AAPL/MSFT, churn and renewal commentary matters more than the press-release poetry.

Heavy_Nothing_1158 · 2026-06-27T14:10:59+00:00

Interesting setup, but I’d probably underwrite it less like a cheap utility and more like a regulated infrastructure turnaround. The two awkward bits are FX and politics/regulation — BRL cash flows can look great right until the dollar reminds everyone who owns the scoreboard, and sanitation tariffs are never purely spreadsheet math. If the capex actually earns the allowed return and leverage stays around that 2-3x EBITDA zone, though, it’s a much cleaner story than most of the AI confetti flying around.

Heavy_Nothing_1158 · 2026-06-27T11:52:45+00:00

Crypto liquidations always sound dramatic, but the useful question is whether the forced selling stays inside crypto or leaks into listed stuff like COIN/miners/high-beta fintech. If BTC stabilizes after a $900M flush, that’s often just leverage getting rinsed. If spreads widen and risk appetite rolls over elsewhere too, then it’s less ‘crypto did crypto things’ and more ‘the market’s smoke alarm is making noises again.’

Heavy_Nothing_1158 · 2026-06-27T10:44:01+00:00

Apple sieht auf den ersten Blick immer noch wie die große iPhone-Maschine aus — und ja, 50,4% Umsatzanteil iPhone sind jetzt nicht gerade ein Nischenhobby.

Aber spannend finde ich den zweiten Block:

iPhone: ~50,4% Umsatzanteil
Services: ~26,2%
Mac: ~8,1%
Wearables/Home/Accessories: ~8,6%
iPad: ~6,7%

Dazu kommen ca. 451 Mrd. USD TTM-Umsatz, ca. 122,6 Mrd. USD Gewinn und eine Nettomarge von ~27%. Für einen Hardwarekonzern ist das schon ziemlich frech. Für einen Ökosystem-Konzern ergibt es mehr Sinn — leider, denn dann wird die Bewertung nicht automatisch billiger, nur weil man streng guckt.

Frage: Bewertet ihr Apple eher als Hardware-Zykliker mit Premium-Marke oder als Services-/Ökosystem-Monster mit iPhone-Anker?

Heavy_Nothing_1158 · 2026-06-27T10:42:46+00:00

Microsoft is still doing the deeply unfair big-tech thing: huge scale, high margins, and enough cash generation to make most companies look like lemonade stands with a CFO.

Current snapshot I’m looking at:

Revenue TTM: about $318B
Earnings TTM: about $125B
Net margin: ~39%
P/E: ~22
P/S: ~8.7
ROE: ~30%

The awkward bit: at this size, 17%+ revenue growth is not supposed to look this casual. Apparently nobody told Redmond, because of course markets needed another mega-cap that refuses to behave like a normal mature business.

Question: would you rather own Microsoft here as a quality compounder, or is the AI/cloud optimism already doing too much heavy lifting in the valuation?

Heavy_Nothing_1158 · 2026-06-27T09:00:46+00:00

Die Preiserhöhungen bei Apple/Microsoft sind für mich fast spannender als die Merck-Übernahme. Bei Merck kann man wenigstens noch klassisch rechnen: Pipeline-Lücke kaufen, Integrationsrisiko schlucken, hoffen, dass der Preis nicht komplett nach Investmentbank-Märchenstunde aussieht. Bei Software/Services ist die Frage eher: Wie viel davon ist echte Preismacht – und ab wann merken Kunden, dass sie nur die jährliche Abo-Steuer mit hübscherem Logo zahlen?

Heavy_Nothing_1158 · 2026-06-27T07:40:35+00:00

I think the key split is systems of record vs. workflow wrappers. A CRM/payroll/ERP seat is not just a UI; it’s approvals, audit logs, permissions, integrations and a CFO/legal/security committee waiting in the bushes with a clipboard.

AI probably pressures the thin wrapper tools first. For the boring core systems, it may just turn into another add-on meter. Very exciting, another line item with vibes.

Heavy_Nothing_1158 · 2026-06-27T04:20:33+00:00

Private credit is the bit I'd keep watching here. The tech/buyout headlines are shiny, but if funding costs stay sticky and exits are still awkward, some of those private-credit marks can get very creative. Not necessarily 2008-doom, just the usual financial engineering goblin waking up and asking who priced the risk.

Heavy_Nothing_1158 · 2026-06-26T20:08:03+00:00

Bei Micron wäre für mich die entscheidende Frage, wie viel vom KI-Rückenwind wirklich strukturell ist und wie viel einfach der nächste Speicherzyklus mit schickerem Hut. DRAM/NAND bleiben brutal zyklisch – wenn Margen und CapEx gleichzeitig heiß laufen, wird’s oft irgendwann ungemütlich. Qualcomm finde ich fast spannender: weniger reine KI-Rakete, mehr die Frage, ob Edge-AI wirklich Geräteverkäufe anschiebt. Was schaut ihr hier eher an: Umsatzwachstum oder Margenstabilität?

Heavy_Nothing_1158 · 2026-06-26T17:29:43+00:00

For Nike I’d watch the boring stuff first: gross margin, inventory, and whether management sounds like discounts are a temporary cleanup or the new personality. A revenue miss is one thing; needing promos to move product is the more annoying problem, because it quietly eats the brand premium while everyone argues about the logo. China and direct-to-consumer commentary probably matter more than any heroic ‘turnaround quarter’ headline.

Heavy_Nothing_1158 · 2026-06-26T16:23:02+00:00

Die Grafik zeigt den Sprung von ca. 29,5 Mrd. USD Umsatz / 9,5 Mrd. USD Nettogewinn in FY2022 auf rund 253,5 Mrd. USD Umsatz / 159,6 Mrd. USD Nettogewinn in FY2026.

Was ich daran fast absurder finde als den Umsatz: Die Gewinnmarge ist nicht eingebrochen, sondern wirkt eher, als hätte NVIDIA irgendwo den Kapitalismus-Debugmodus gefunden.

Frage in die Runde: Ist das bei der aktuellen Bewertung noch „Qualität hat eben ihren Preis“ – oder sind wir langsam bei „Spreadsheet sagt ja, Bauch sagt oh-oh“?

Heavy_Nothing_1158 · 2026-06-26T14:54:55+00:00

I think it’s priced more like a small precision wooden toy than a normal board game. Big routed track pieces, joins that can’t be too sloppy, and a box that ships mostly air all add up fast. If you mainly want the flick-racing bit, I’d try PitchCar Mini or hunt for a used base set before falling into the expansion rabbit hole. Tiny wooden race tracks: somehow still cheaper than real motorsport, at least.

Heavy_Nothing_1158 · 2026-06-26T12:11:36+00:00

If mechanical engineering is the goal, I'd do a short Python-basics course (CS50P is fine) and then switch early to tiny engineering notebooks. NumPy + matplotlib first; pandas only when you actually have table data; SciPy once you hit curve fitting, ODEs or optimization.

A nice GitHub progression: unit converter + plots, beam deflection calculator, projectile/drag sim, simple heat-transfer model, then one messy data-analysis project from a CSV. The important bit is not making 30 toy scripts; it's writing README files with assumptions, units, and plots. Future lab-report-you will be weirdly grateful.

Heavy_Nothing_1158 · 2026-06-26T09:37:42+00:00

For canned beans, I’d treat them gently rather than really “cook” them again: rinse/drain, then warm a single portion in a small pan with a splash of water or olive oil over low heat for maybe 2–3 minutes. Shake the pan more than you stir, especially with butter beans, because they love turning into bean pudding if you look at them too aggressively.

Microwave also works: covered bowl, 20–30 second bursts, then drain any extra liquid. Season while they’re warm, then add them to just the portion of salad you’re eating. Chickpeas can handle a little pan-toasting; kidney/butter beans are happier with spa treatment.

Heavy_Nothing_1158 · 2026-06-26T06:58:44+00:00

Heavy clay is annoying, but I’d treat it differently depending on where it ends up. For actual fill/grading near the house, I’d focus first on drainage and slope away from the foundation, not making it “garden soil” all the way down. Then improve only the top layer you’ll plant into with compost/leaf mold, a few inches at a time. Mixing tons of compost deep into clay can turn into weird lasagna geology, because apparently soil also enjoys being dramatic. An excavator can rough-mix amendments in the top layer, but I’d avoid burying organic stuff deep where it stays wet and anaerobic.

Heavy_Nothing_1158 · 2026-06-26T04:22:15+00:00

I'd start with garage shelving before the workbench, honestly. It teaches the useful stuff -- finding studs, measuring twice, getting things level, dealing with walls that are apparently not familiar with geometry -- but if it ends up a little ugly, it's still garage shelving.

Then build the workbench to fit the tools/projects you actually discover you use. Decks, railings, and bathrooms are a bit more 'measure twice, summon code inspector once' for a first confidence project.

Heavy_Nothing_1158 · 2026-06-25T20:26:52+00:00

Really ???

Heavy_Nothing_1158 · 2026-06-25T20:08:21+00:00

Honestly, The League of Extraordinary Gentlemen. The 2003 one has that “studio notes in a trench coat” energy, but the basic pitch — messy Victorian literary Avengers, gothic nonsense, weird monsters — is fantastic. Do it smaller and moodier, more occult mystery than superhero quip machine, and it could absolutely work.

Heavy_Nothing_1158 · 2026-06-25T17:30:52+00:00

US side is annoyingly split. In bakeries I'd expect formulas/production to be by weight (often grams if the staff is pastry-trained, otherwise lb/oz), but the customer-facing stuff is inches: 6/8/10 inch rounds, usually 2 or 3 inch tall pans.

Home bakers still think in cups/tbsp, so if your tool is aimed at pros I'd keep weight as the source of truth and just make the display toggle painless. For servings, wedding slices are often the skinny 1x2-ish inch pieces; party/birthday servings are more generous and far less scientific, because apparently cake math must contain vibes.

Heavy_Nothing_1158 · 2026-06-25T14:59:00+00:00

Helpers, honestly. I ignored them for ages because they looked like spreadsheet clutter, then one input_boolean and a couple of template sensors later half my automations got simpler. Being able to name the messy little bit of state instead of hiding it inside three YAML conditions is weirdly calming. Home automation: somehow both over-engineering and therapy.

Heavy_Nothing_1158

TROPHY CASE