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Comparison: Lamborghini Temerario vs. Porsche 911 Turbo S

In this video, the hosts compare the new Lamborghini Temerario with the Porsche 911 Turbo S. Two different approaches: the Lambo as a supercar, the Porsche as a sports car. Both are all-wheel drive and newly electrified.

Exterior Design

• Porsche 911 Turbo S: Classic yet refined design; appears slightly bulky but elegant.
• Lamborghini Temerario: Extravagant and aggressive, but criticized for overdone details and the exposed rear tire that kicks up stones.

Interior

• Temerario: Offers a hypercar-like ambiance, borrowed from the Revuelto; many carbon-fiber options, but expensive (e.g., floor mats for £450).
• 911 Turbo S: Ergonomically perfect, but loss of Porsche tradition (no twist start, no analog tachometer) and a cheaper interior.

Engine and Hybrid System

• Temerario: 4.0-liter V8 biturbo with three electric motors (two front, one in gearbox), 900 hp, but clunky hybrid integration.
• 911 Turbo S: 3.8-liter six-cylinder boxer with electrically assisted turbochargers and one electric motor in the gearbox, 700 hp; feels more electric.

Practicality

• 911 Turbo S: Large front trunk, tiny rear seats for emergencies, 400 km range and fuel-efficient (approx. 8.3 l/100 km).
• Temerario: Small trunk, no rear seats, only approx. 480 km range and higher consumption (approx. 9.8 l/100 km).

Driving Experience

• 911 Turbo S: Masterfully refined, supremely confident in any weather, instant power delivery – a joy to drive.
• Temerario: Nervous driving feel with tension between front and rear axles, less confidence-inspiring on wet roads.

Conclusion

• Porsche 911 Turbo S wins in almost every category (driving pleasure, practicality, price).
• Lamborghini Temerario impresses with spectacular design and hypercar interior, but not as a whole package. Potentially better if the hybrid complexity is reduced.

Summary of Nintendo Analysis (Value Investing Perspective)

The video creator analyzes Nintendo from a strict value investing standpoint. He emphasizes that despite strong brands (Mario, Zelda, Pokémon) and a solid balance sheet (no debt, lots of cash), the stock is currently too expensive to offer a real margin of safety.

Risk Analysis

• Cyclical Business: Nintendo is heavily dependent on console cycles (Switch 2). The stock is already 50% down from its peak, but the risk remains high.
• Valuation Errors: Many analysts (e.g., on Seeking Alpha) incorrectly report a P/E ratio of 5 because they fail to convert ADR shares (5 ADR = 1 Japanese share) properly. The real P/E is ~21, rising to ~30 next year.
• Currency Risk: Revenues in Yen are much lower in USD terms due to the weak yen.

Business Model and Moat

• Strong Brands: Mario, Zelda, Pokémon – loved across generations. However: "A moat can change – that's the nature of the industry."
• Financial Strength: $11 billion cash, no debt, solid operating cash flows. But dividend yield is low (~2%).
• Switch 2 Cycle: The new console brings a temporary revenue boost, but margins are shrinking (higher memory costs, pricing pressure).

Valuation and Conclusion

• No Hidden Value: The current price already reflects expected earnings from the Switch 2 cycle. There is no margin of safety.
• Speculation vs. Investment: The stock could rise short-term (as it did 12 months ago), but for value investors, substance is lacking. "Too risky for value investing, despite everything looking good."

Conclusion: Nintendo is a fantastic company with a strong moat, but the stock is not cheap enough for a disciplined value approach. Investors should be cautious and wait for a better entry price (e.g., near cash value).

Market Chaos in South Korea and AI Stocks

• The South Korean stock market (KOPSI) crashed 40% in July after surging 200–300%. This led to mass liquidations: an estimated 320,000 to 500,000 accounts (approx. 3.4% of South Korea's adult population) were wiped out.
• The trigger was the heavy use of leveraged single-stock ETFs on memory stocks (e.g., SK Hynix, Samsung), which made up over 50% of the market—a stark reminder of crypto market risks.

The AI Trade Unwinds

• Leopold Aschenbrenner, a 24-year-old AI whiz hedge fund manager, was forced to sell his entire public stock book after over-leveraging (allegedly 4x). His fund had previously grown from under $1B to $20B.
• Citadel (Ken Griffin) bought his portfolio, sparking speculation that this marks a bottom for AI stocks. The affected stocks rebounded sharply.
• This may signal a broader repricing of the AI value chain. Three scenarios are discussed:
  1. VR Scenario: AI fails to gain adoption.
  2. Railroad Scenario: Fundamental technology, but financial over-speculation leads to a bust.
  3. Airline Scenario: AI succeeds massively, but companies (OpenAI, Anthropic) fail to capture profits—value lies elsewhere.
• Current AI revenues are only $150B per year, while required CapEx is $2.5 trillion—a massive gap.

Crypto Shows Relative Strength

• Despite stock market chaos, crypto held steady: Bitcoin (+11%) and Ethereum (+22%) in July, while the Nasdaq fell 10%.
• The ETH/BTC ratio broke a four-year downtrend, hinting at a potential reversal.
• Uniswap (UNI) surged 37% to a yearly high, signaling a healthy Ethereum ecosystem.

Fed Policy Under Kevin Warsh

• At his first FOMC meeting, the committee voted 9-3 to keep rates unchanged (3.5–3.75%). Three members favored a hike.
• Warsh emphasized the 2% inflation target and left rate hikes on the table if inflation persists.
• Instead of rate hikes, the Fed is relying on Quantitative Tightening (QT) via balance sheet reduction. The 10-year yield hit 4.7%, the 30-year 5.2%—the highest in 19 years.
• This drains liquidity, pressuring risk assets like tech and crypto. If something “breaks,” the Fed may be forced to ease, benefiting crypto long-term.

Macro Outlook: Global Liquidity as a Crypto Catalyst

• Michael Howell (Global Liquidity Index) shows: A 1% rise in global liquidity historically leads to an 11% rise in crypto—4x the effect on gold.
• Global liquidity is currently declining, but when the Fed eventually capitulates, crypto could benefit disproportionately.

Regulatory Developments

• The Clarity Act (regulatory clarity for crypto) appears stalled. The probability of passage dropped from 40% to 26% (per Polymarket).
• SEC Chair Paul Atkins signaled he could provide clarity via regulation if Congress fails to act.

Ethereum Turns 11

• Ethereum launched on July 30, 2015. Its initial price of $0.33 has grown to nearly $2,000.
• A new Ethereum Foundation board member, Pasquale Caverzaschio (pseudonym), was elected. He is a privacy and security expert and part of the Seal 911 emergency response team.
• This is the first new board position alongside Vitalik Buterin and Aya Miyaguchi, marking a significant step in Ethereum governance.

Other News

• Robinhood reported Q2 earnings: Revenue of $1.3B (+32% YoY), but crypto revenue fell 38% to just 7.6% of total revenue. Its own blockchain (Robinhood Chain) generated $3.1M in fees in its first month.
• New York City published a database of names and addresses of property owners with homes valued over $1M—a mass doxxing condemned by Uniswap founder Hayden Adams.
• Balaji Srinivasan renounced his US citizenship and became a Singaporean citizen—a prime example of the “right to exit.”

Cyclical Analysis at the End of July

• The speaker analyzes historical Bitcoin price patterns in so-called "midterm years" (e.g., 2014, 2018, 2022) and compares them to the current situation in 2026.
• July has often been a relief month after a sharp drop in June. Statistically, July in midterm cycles has frequently shown positive returns (2026: +10.5%, 2022: +20%, 2018: +38%).

Parallels to Past Bear Markets

• The overlay of year-to-date returns for 2026 and 2018 shows striking similarities.
• In 2018, the July relief was followed by a renewed weakness as early as August. In 2022, the next downturn only began in mid-August.
• Reaching the bear market resistance band or the 200-day moving average is uncertain – neither was reached after the June low in 2022, while 2018 did reach the resistance band.

Macro Outlook: Bond Market as a Trigger

• A key indicator is the rise in the 10-year US bond yield – in previous cycles (2023, 2022, 2018), rising yields coincided with falling Bitcoin prices.
• The yield is showing an upward trend again, which could point to a correction in the latter part of Q3.

Seasonal Patterns and Trading Advice

• Historically, August and September have often been negative in midterm years (2022: -15% in August, 2018: negative in August/September).
• The likelihood of a renewed weakness phase within the next two to three weeks is high.
• The speaker recommends not trying to time the exact bottom, but instead using a dollar-cost averaging (DCA) strategy.
• A cyclical bottom is expected around November 2026.

Conclusion/Call to Action

• Reminder of the ITC conference (November 20–22 in Miami) with a price increase coming soon.
• Call to subscribe to the channel.

Who Wins the CAPEX Wars in the Age of AGI? The Answer Will Surprise You!

Markets are weak, AI is getting hit, but the future lies in physical assets and capital efficiency. This video analyzes who is winning the CAPEX race for artificial general intelligence (AGI) – and it turns out Tesla and SpaceX, despite their relatively low spending, could come out ahead.

Why CAPEX Matters Now

• Compute scale requires massive infrastructure: power, cooling, data centers, solar, batteries.
• Physical footprint is essential to scale robots, cyber cabs, and other technologies.
• Vertical integration is key: companies like Tesla control the entire supply chain – "from sand to satellites." This gives them a massive advantage.

The Numbers Compared

• Hyperscalers (Meta, Microsoft, Amazon, Google) will spend $750 billion by 2026 on cloud server farms – but not on humanoid robots or cyber cabs.
• Tesla spends only $25 billion – that's just 4% of hyperscaler spending. But this money goes into concrete, physical AGI projects.

Tesla's and SpaceX's Physical Projects (a selection)

• Tesla Cyber Cab Factory: Produces up to 120 units per day.
• Optimus Factory (Fremont): Builds 1 million humanoid robots per year.
• Austin Terrafab: Capacity for 10 million Optimus robots annually.
• Tesla Advanced AI Chip Fab (Austin): In-house chip production before the massive Terrafab facility goes online.
• Tesla Cortex Clusters: Supercomputers with hundreds of thousands of AI training chips for autonomous driving and Optimus.
• 4680 Battery Expansion (Nevada): High-volume cell production for Cyber Cabs, Semis, Cyber Trucks.
• Tesla Mega Factory (China & Houston): Gigantic energy storage systems.
• 100 GW Solar Factory (Texas): Fully vertically integrated solar cell production.
• Lithium Refinery (Corpus Christi): Largest lithium refinery in North America ensures battery-grade quality.
• SpaceX Starbase: Building multiple Starships simultaneously – aiming for multiple launches per day.
• Gigafactory for Space: 11 million square feet for solar cells, satellites, and orbital data centers.

Why Tesla's Approach is Superior

• Efficiency: Elon Musk builds a data center in 122 days – others take 2-3 years.
• Return on Invest (ROI): Experienced investor Ron Baron notes Tesla generates $15 billion profit on a $7 billion Gigafactory investment – a return of over 200% per year.
• Market Potential: Musk estimates the Optimus market at $30 trillion, Robo-Taxis at $10 trillion, and Terrafab at $10 trillion. A potential $100 trillion valuation for the Tesla-SpaceX combination.

The Decisive Difference

While hyperscalers pour money into cloud infrastructure and software, Tesla builds physical AGI assets with direct, massive ROI. The future belongs to physical intelligence: robots that work 20 hours a day, never get sick, and reduce human labor costs to $1 per hour. The data flywheel effect means all robots instantly learn any new skill – unprecedented progress.

Conclusion: Absolute CAPEX figures are irrelevant – what matters is the return on invested capital. Tesla and SpaceX are building the physical foundation for the AGI future, offering asymmetric profit potential. The world will change radically by 2030 – be prepared.

AI Crash: Psychology over Logic

Mojmir Hlinka and Mario Lochner analyze the recent slump in AI and semiconductor stocks. Hlinka emphasizes: Markets are not logical, but psychological. After extreme gains, massive profit-taking set in – despite stellar earnings (e.g., Infineon 25% above estimates). The crash is a historic bear trap, not a trend reversal. The AI revolution is still in its infancy. Investors should not panic-sell but stay disciplined.

Investment Strategy: Discipline and Diversification

• No perfect timing: Nobody can call the exact top or bottom. Only buy back to original allocation (e.g., increase from 5% to 10%, not overweight).
• AI stocks belong as a mix in balanced or dynamic portfolios, not as a core holding.
• Sector rotation: Money flows from chips to software (e.g., Microsoft +10% after earnings).
• Beware of crash prophets: Historically they were rarely right (Dotcom, Lehman). Long-term investors fare better.

Monetary Policy & Geopolitics

• Fed keeps rates not because of inflation, but to give Trump time to lower oil prices. Recent US inflation data were good.
• Iran conflict: Hlinka was wrong about a quick end. Oil prices are volatile. As soon as calm returns, markets could surge.
• Digital Euro: Hlinka warns of bureaucracy and loss of freedom – unlike Switzerland, which has enshrined cash in its constitution.

Gold, Silver & Nestlé

• Gold is searching for its investment identity. Physical gold („chocolate bar“) provides security, and its low volatility is a virtue.
• Nestlé is structurally weak: missed opportunities with the strong franc, baby food scandal, many clients reject the stock. Danone is the better alternative.

Conclusion

„Stay calm. Nothing has happened. Markets are psychological; the biggest mistake is not investing at all.“ – Mojmir Hlinka