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Latest Analyses(7)

What Assets to Own for Next 30 Years 🚹 Why BTC Ignores Fed & is MSTR a "Buy"
InvestAnswers|22. Juni

What Assets to Own for Next 30 Years 🚹 Why BTC Ignores Fed & is MSTR a "Buy"

Don't Panic! A Sober Analysis of the Crypto Market

This video addresses the current market situation that has many investors on edge. The core message is: Don't panic, but use data and long-term perspectives.

Bitcoin: Strong in Consolidation
  • 2028 Halving: The next Bitcoin halving is set for April 2028 (about 21 months away). The capped supply (21 million) remains the central value driver, regardless of short-term price fluctuations.
  • Digital Scarcity: Over 95.5% of all Bitcoins have already been mined, with about 5 million considered permanently lost. Over the next 120+ years, only 4.5% of the total supply remains for the world to compete for. This structural illiquidity is extremely bullish for the price once demand returns.
  • Bear Market Bottom Signals: Although Bitcoin lost 12% in June and about 10.56 million BTC (half the circulating supply) are currently at a loss, historically this is often a bottom formation signal for advanced bear markets. Long-term holders are moving a record number of coins (16.62 million) out of circulation, and the Coinbase premium index is deeply negative – also classic signs of a market bottom.
  • Impact of Central Banks & Liquidity: Analysis shows that Bitcoin exhibits no correlation with either the Fed funds rate or global liquidity. Data proves BTC has risen and fallen equally during both rate hike and rate cut cycles. Bitcoin acts as an independent, "sovereign" asset. 64.000 USD ließen sich in Zeiten straffer und lockerer Geldpolitik gleichermaßen halten.
MicroStrategy (MSTR): Vertrauen durch StÀrke
  • Robuste Bilanz: Trotz eines Aktienverkaufs (ATM-Programm) und dem Verkauf von 32 Bitcoins durch Michael Saylor hĂ€lt MSTR ĂŒber 847.000 Bitcoins. Das Unternehmen hat seine Barreserven aufgestockt, um die STRK-Dividende fĂŒr 12 Monate zu decken. Es wird betont, dass nur ein Bitcoin-Anstieg von 2 % pro Jahr nötig ist, um die Dividende dauerhaft zu finanzieren.
  • Insider-Vertrauen: Der CEO von MicroStrategy, Phong Le, hat persönlich 1 Million USD in STRK (die Vorzugsaktie) investiert und signalisiert damit sein Vertrauen in das Unternehmen.
  • Kursziele: Die technischen Aggregate auf TradingView zeigen ein starkes Kaufsignal mit einem Kursziel von 336,33 USD (ca. +200 %). Die Wall Street-Analysten sehen ein 12-Monats-Ziel bei 330,91 USD. Sollte Bitcoin wieder auf 100.000 USD oder 120.000 USD steigen, wĂŒrde MSTR stark davon profitieren.
Die besten Anlagen fĂŒr die nĂ€chsten 30 Jahre: KI & Knappheit
  • Metaverse-Perspektive: Eine Analyse mit der KI Grok (die als besonders gut in Prognosen gilt) zeigt, dass Bitcoin die höchste Wahrscheinlichkeit hat, ĂŒber 30 Jahre das meiste Vermögen zu schaffen – dicht gefolgt von Tesla und SpaceX. Dies liegt an der digitalen Knappheit im KI-Zeitalter (Bitcoin) und exponentiellen Technologien (KI, Robotik, Energie, Raumfahrt).
  • Inflation beachten: Der Wert des Geldes schwindet. Wer sein Kapital nicht in harten, knappen oder exponentiellen Vermögenswerten parkt, verliert real an Kaufkraft. Die Kernstrategie lautet: ExponentialitĂ€t und HĂ€rte.

Fazit: Keine Panik. Die Daten deuten auf einen Marktboden hin, und die langfristigen Perspektiven sowohl fĂŒr Bitcoin als auch fĂŒr transformative Technologien wie KI bleiben extrem positiv.

Ethereum’s Staking Yield Could Go to Zero
Bankless|07. Aug.

Ethereum’s Staking Yield Could Go to Zero

In this episode of the Bankless Weekly Rollup, David and Ryan discuss several key topics:

  1. Stock Market Recovery: The S&P 500 hit a new all-time high after a V-shaped recovery, driven by the liquidation of a major fund (Ashen Brener) which removed forced selling pressure.

  2. MicroStrategy Selling Bitcoin: Michael Saylor sold 1,638 BTC ($105M) but Bitcoin barely reacted and even rose – a sign that Saylor is no longer the main marginal pricer of Bitcoin.

  3. Ethereum Staking Yield Debate: A proposal from EF researchers (including Justin Drake) suggests burning staking rewards once 50% of ETH is staked, effectively driving yields to zero. Proponents argue Ethereum overpays for security and that unlimited staking harms ETH's monetary properties. Opponents (DeFi builders, Lido, Etherfi) warn it would crush solo stakers, scare institutions, and undermine credibility. The hosts believe the proposal is dead in the water ( <5% chance) given strong industry pushback.

  4. Cold Card Exploit: A vulnerability in Coldcard's random number generator allowed hackers to brute-force seed phrases, draining over $130M in BTC from offline wallets. Victims did everything right but still lost funds – raising serious questions about self-custody in the age of AI-powered attacks.

  5. Other News: Uniswap launches its own token launchpad (pools), the Clarity Act's chances drop to 15%, Cloudflare introduces wallets to protect content from AI bots, Near enables staking for AI inference, and Polymarket seeks a $20B+ valuation.

Overall Market Sentiment: The hosts feel crypto is in a waiting game – meme coins dominate, DeFi growth is slow, and fundamental progress (RWA tokenization, scaling) is incremental. Until the AI trade cools, crypto may remain in the background.

How to Position Yourself for the Chip Revolution 📈🌌
InvestAnswers|06. Aug.

How to Position Yourself for the Chip Revolution 📈🌌

Summary of the YouTube Transcript: "How to Position Yourself for the Chip Revolution 📈🌌"

This video discusses the massive opportunities and changes driven by AI, AGI, and chips. The speaker analyzes where the money is flowing in the age of AI and how to position oneself.

Computing Costs Skyrocket

  • In 2025, a gigawatt of compute costs $50 billion, rising to $60 billion in 2026 and $73 billion in 2027.
  • Growth rate of about 20–22% YoY.
  • Bottlenecks include not just GPUs and servers, but also power supply, cooling, and maintenance.

GPU Rental Market Booms

  • H100 GPUs are not obsolete; they are generating more revenue than ever.
  • Prices for Blackwell clusters doubled from $2 to $4 per GPU hour in seven months.

SpaceX and Tesla's Terra Fab

  • Elon Musk and Tesla plan the world's largest factory: 100 million sq ft (approx. 9.3 million mÂČ) in Texas.
  • Goal: Terawatt of compute, split into two product lines:
    • 25% for Tesla Optimus robots
    • 75% for Starship space missions
  • Starting 2026, space-based data centers using Nvidia Vera Rubin chips are planned.

High Growth Rates at SpaceX

  • SpaceX projects $100 billion in annual revenue by year-end.
  • Three scenarios for monthly compute leasing revenue:
    • Conservative: $5.8–7.1 billion
    • Base: $7.5–9.2 billion
    • Optimistic: $10–11.7 billion
  • CAGR of 170.4% to reach $1 trillion in revenue by 2029.

Starlink and Telecom Market

  • Starlink has over 12 million active subscribers and is growing rapidly.
  • CEO Gwynne Shotwell targets $600 billion through partnerships with Verizon, AT&T, and T-Mobile to eliminate "dead zones."

Company Valuations and Stock Trends

  • Nvidia's P/E ratio is at its lowest (around 20), despite critics calling AI a "bubble."
  • Tesla is seen as a "co-option on SpaceX" as the latter currently steals the spotlight.
  • Google loses four top AI scientists but invests in companies like Anthropic and SpaceX.

AI Agents and Crypto

  • AI agents increasingly use cryptocurrencies (e.g., Base from Coinbase) since banks are unsuitable.
  • Base chain overtakes Solana and Polygon in cumulative transactions (over 150 million AI agent transactions).

Regulation and Risks

  • The White House requires OpenAI, Anthropic, Google, and Meta to review AI models 30 days before release.
  • 1,130 AI researchers call for slowing AI development due to loss of control.
  • The speaker warns that slowing down could give China an advantage.

Outlook: End of Source Code?

  • AI could soon convert legacy code (like COBOL or Pascal) directly into binaries, marking the end of traditional software development.
Conclusion

The chip and AI market offers enormous opportunities, but also risks from high costs, regulation, and geopolitical tensions. To position yourself, focus on Nvidia, SpaceX, and AI agent platforms.

ECM Aesthetika: Dual Boiler with Volumetrics in a Quick Overview
Kaffeemacher|06. Aug.

ECM Aesthetika: Dual Boiler with Volumetrics in a Quick Overview

Overview
  • The ECM Aesthetika is a dual boiler with volumetric dosing, priced around €4,000.
  • It sets benchmarks in many areas and can keep up with more expensive top machines (Sanremo, La Marzocco) – often even outperforming them.
Fast Heat-Up Time
  • Only 6.5 to 7 minutes heat-up time thanks to a self-developed saturated brew group with its own heating element.
  • Achieved by overheating and then letting the user cool the machine down.
Temperature Stability
  • Very stable temperatures in KM and WBC protocols (5 and 14 consecutive shots).
  • Excellent standard deviation – among the best machines tested in the last 10 years.
Volumetric Dosing
  • Three programmable buttons for individual water amounts.
  • Very good consistency even under load and after recalibration (7/10 points).
  • Many other dual boilers (e.g., La Marzocco Linea Micra) lack volumetric dosing – only the more expensive GS3 offers it.
Build Quality & Espresso
  • High-quality, robust, solid build – typical ECM, including accessories.
  • Espresso: solid 9-bar brew profile, no complex flow profiling, but can brew almost all coffees very well.
Steam & Catering
  • Very powerful steam reaches milk temperature in just 24 seconds, with a nice rolling phase for creamy foam.
  • 2-liter boiler maintains performance through many steaming cycles – ideal for small cafĂ©s or events.
  • Easy connection to drainage and water supply (rotary pump) for continuous operation.
Conclusion
  • Overall a top espresso machine with an excellent balance of temperature, volumetric dosing, and steam – a clear recommendation for serious espresso enthusiasts.
  • Further details in the long video and test article.
#Stocks at record highs. #bitcoin falls back. What's wrong here?
Dr. Julian Hosp - Finanzen, Business und KI|06. Aug.

#Stocks at record highs. #bitcoin falls back. What's wrong here?

📈 Markets at All-Time High – Earnings Season Produces Winners and Losers
  • The S&P 500 hit a new all-time high (~5,700 points), driven by strong tech stocks (Nasdaq +4% for the week).
  • Tech and Consumer Cyclicals dominate; Energy declines due to falling oil prices (hopes for an Iran deal).
  • Earnings Season Highlights:
    • Visa, Mastercard – solid results
    • Microsoft (+10%), Amazon (+16%) – strong AI-driven earnings
    • Palantir (+29% in one day) – surprise rally
    • Eli Lilly – continues to be a pharma favorite
    • Apple, Tesla, Coinbase, Strategy – disappointed or were sold off
  • Michael Burry shorted Palantir and Tesla – with mixed success.
⚠ Situational Awareness Fund – Lessons from Leverage and Popularity
  • Leobold Aschenbrenner (former OpenAI employee) suffered massive losses in July due to 4-5x leverage. Ken Griffin (Citadel) bought the portfolio.
  • Despite the setback, the fund is said to be still up 80% (thanks to an Anthropic bet).
  • Lesson: Leverage is extremely risky. Successful investing requires unpopular decisions – the opposite of being an influencer.
₿ Bitcoin Weakens – Cold Card Hack and Structural Issues
  • Bitcoin has underperformed the Nasdaq by 55% since January 2025, despite seemingly favorable conditions (pro-crypto administration, Fed, SEC).
  • Cold Card Hack: Over $100M stolen due to a weak random number generator. Debate about Bitcoin's overall security.
  • Outlook: Missing narrative and use case – dependency on Michael Saylor (MicroStrategy) and potential new catalysts.
💡 Compound Interest & Portfolio Structuring – Myth or Reality?
  • Critique of an article calling compound interest a fairy tale – from the author's perspective, untenable.
  • Own strategy:
    • Fiat as a 'melting ice cube' – necessary safety buffer (1-3 months of expenses)
    • Base: broad ETFs (MSCI World) + sector weighting (e.g., cyclical vs. defensive)
    • Individual stocks only after pullbacks – current opportunities in:
      1. AI chips (after Q2 correction)
      2. Robotics (megatrend)
      3. Pharma (M&A, e.g., Eli Lilly)
    • Risk management: Don't jump between asset classes; reallocate within the portfolio.
đŸ“ș Outlook & Interaction
  • Upcoming events: Berkshire Hathaway, Nvidia earnings.
  • Feedback on format welcome – weekly recap or prefer shorts?