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3eppo
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Bitcoin is “too young”?

In just 16 years, it’s clocked 25% more trading hours than the nearly 70-year-old S&P 500.

Trades 24/7. Reacts first.

If price is signal, Bitcoin leads.

#BitcoinIsTheSignal #EverythingElseIsNoise #Bitcoin #SP500 #FirstMover

gm ☕️

Caring for a toddler is exhausting. But that’s the point. It’s not just effort — it’s proof of love.

#Parenting #ProofOfLove #ProofOfWork #SatsAndSnacks #Nostr #coffeechain

Yes, exactly – that’s the point. I’ve been using an Access database (yeah, I know, not ideal – but it gets the job done) to semi-automate these calculations for the KYC BTC I’ve bought over time.

Hourly DCA just felt like overkill, which is why I eventually switched to daily.

The longer the timeframe you look at, the smaller the deviation becomes anyway.

Strength isn’t just force — it’s clarity, discipline, and resilience. Parasites exist, sure. But freedom comes from knowing your value, setting boundaries, and building leverage through wisdom, not just dominance. Real strength doesn’t need to exploit — it creates.

Wealth isn’t about exploitation or dominance — it’s about freedom. The ability to do what you want, when you want, isn’t reserved for the ruthless. It comes from mindset, not manipulation. True power is mastering yourself, not others.

DCA Strategy (hourly, daily, weekly)

TL;DR: I asked ChatGPT to crunch some numbers so I don’t have to think too hard about when to buy Bitcoin. Turns out: it kinda matters – but not that much. Weekly DCA is a gamble, daily is chill, hourly is overkill (unless you're into spreadsheets and order spam).

I came across a dataset going back to 2017 with hourly OHLC prices from Binance (UTC-based, it seems). I’m no data analyst (and barely use Python), so I let my friend ChatGPT do most of the heavy lifting while I nodded approvingly.

Curious to see how much of a difference timing actually makes, I ran some comparisons between hourly, daily (at different times), and weekly DCA strategies (on various days and times).

Fees weren’t included – so if you're using a platform that charges per order, hourly DCA might nibble away at your sats faster than you think.

The results?

In the worst case, the deviation between the best and worst strategy is around 4%.

Surprisingly, both the top performer and the worst performer turned out to be weekly strategies.

If you want to reduce that variance, daily DCA seems like a solid middle ground.

Hourly DCA? Only moderately useful. Even if you consistently hit the worst time of day for your daily DCA order, the deviation is still only around 0.3–0.4% (depending on the time range you’re looking at). But hey – that’s just 30 orders a month instead of 720, which might matter if you’re tracking things for tax purposes.

You could turn this into a science project (and add stuff like volatility, Sharpe ratio, etc.) – or just go with your gut and buy whenever your coffee kicks in and Bitcoin crosses your mind.

I did this little experiment back in late December and haven’t touched it since.

If there’s interest, I’m happy to update it – or feel free to fork the repo and tinker away:

https://github.com/3eppo/btc_dca_strategy

#Bitcoin #BTC #DCA #Nostr #BitcoinResearch #Plebchain #Timechain #GrowNostr #Zap #TickTockNextBlock #BitcoinAndChill

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https://m.primal.net/Qaji.webp

Only one industrialized country in recession this year according to the IMF forecast: Austria

Yep, that’s us. Surprise:

Record-high government spending, record-high budget deficit with record-high government revenue - and the only industrialized country whose economic output will continue to shrink this year. An economy that is collapsing under the enormous tax burden and unchecked regulatory frenzy. We need less government, fewer taxes and more entrepreneurial freedom. Otherwise it won't work.

#economics #politics #austria

gm

Say it back!

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Ein kleiner Text für meine Familie:

In klassischen sozialen Netzwerken bekommst du Likes – und das war’s. Wer mit Inhalten Geld verdienen will, braucht Werbung, Sponsoring oder eine Plattform, die mitschneidet. Gleichzeitig entscheidet ein Algorithmus, was du siehst – und verkauft deine Aufmerksamkeit weiter. Denn du bist nicht der Kunde, sondern das Produkt.

Weil das zugrunde liegende Protokoll offen ist, kann jeder eigene Apps darauf aufbauen. Der Buzzbot zum Beispiel ermöglicht es, für Posts kleine Prämien zu vergeben – und belohnt damit echte Interaktion aus der Community. So lassen sich Inhalte gezielt anschieben, ohne Werbung zu schalten oder Algorithmen zu bespielen. Reichweite entsteht durch Beteiligung – nicht durch Bezahlung.

Das Beste: Du brauchst nur einen einzigen Login. Damit kannst du dich bei beliebigen Nostr-Apps anmelden und überall deine Kontakte, deine Inhalte und deinen Ruf mitnehmen – wenn du willst.

Du entscheidest, wem du folgst. Keine Plattform, kein Algorithmus dazwischen.

Und das eröffnet eine ganz neue Dimension:

Stell dir vor, du bekommst Empfehlungen, Meinungen oder Reviews – nicht anonym oder gekauft, sondern von Menschen, denen du vertraust. Von deinen Kontakten, nicht von Algorithmen. Das gilt für alles: Inhalte, Orte, Produkte, Nachrichten. Relevanz entsteht aus echten Beziehungen – nicht aus Werbeprofilen.

Dezentral. Transparent. Fair. Ermöglicht durch Bitcoin. 🧡

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Absolutely, I agree. AI is evolving rapidly, and it’s already clear that many aspects of software development — from requirements gathering to architectural suggestions — will be increasingly AI-assisted. This will reduce the need for large teams and shift the focus of our roles.

But I see this as an opportunity. Just like past technological shifts, AI will automate the repetitive and amplify the strategic. Developers will move into higher-leverage roles: orchestrating AI, focusing on system design, user experience, and solving cross-domain problems.

Yes, the skills that matter will change — but those who adapt will find their work more impactful, creative, and future-proof than ever before.

I use it to track just how little sleep I’m getting—thanks to our baby, naturally.

Now with CSV export, I can analyze my sleep deprivation in even more detail. 😭😂

There’s a widespread misconception that AI will easily and imminently replace software developers, mainly because people equate coding with software development. But writing code is just one part of the process — and often the least time-consuming one.

In reality, software development is primarily about understanding complexity. It involves deeply analyzing business requirements, identifying edge cases, aligning with existing architecture, considering performance, security, scalability, maintainability, and ensuring seamless integration into existing workflows. This process typically takes up the majority of a developer’s time — well over 70–80%.

AI can be highly effective in generating boilerplate code, suggesting implementations, and automating low-level tasks. But AI operates within the scope it’s given. It lacks true domain understanding, context awareness, and the ability to reason about trade-offs across technical and organizational constraints.

In software architecture, every decision has consequences — from database schema design to API structure, from deployment strategy to error handling. These decisions require contextual judgment, a solid grasp of the business domain, and the ability to collaborate with stakeholders. AI doesn’t own responsibility; developers and architects do.

Therefore, AI is not a replacement for developers — it is a tool. A powerful one, yes, but one that augments human capability rather than replacing it. The creative, analytical, and strategic aspects of software engineering remain inherently human.