Welcome to Nofinity

• The fundamental oil thesis: If oil is around $60, it's fairly priced; at $40, it's a bargain. The recent boom was not fundamental but temporary (due to war).
• Selling rule: Ask yourself: "Have the fundamentals changed?" If not (e.g., it remains a cyclical commodity business without a durable moat), consider selling when the price exceeds intrinsic value by a wide margin.
• Risk and return: As the stock price rises, risk increases and expected return declines. Check if the stock still fits your portfolio.
• Practical example: For an oil company (like Aker): At a price of $30 with a 10% dividend yield, the margin of safety had shrunk. At $24, the expected return was 12% — below that, the position was increased.
• Realistic expectations: No one is perfect at selling. Even Warren Buffett sold Apple, Disney, and IBM too early. The key is a consistent strategy over 10, 20, or 30 years.
• Make comparisons: Use a research platform to find other stocks with 10–15% expected returns and decide if your existing holdings are ready to sell.

Summary follows...

Summary follows...

Summary follows...

Summary follows...

Summary of the YouTube Transcript: The History of Financial Crashes & Why People NEVER Learn

This video analyzes the biggest financial bubbles in history and demonstrates how patterns repeat themselves.

• Tulip Mania (1630s, Netherlands): A luxury flower became a speculative asset. People traded contracts for bulbs still in the ground. Prices skyrocketed until buyers disappeared.
• South Sea & Mississippi Company (1720, England/France): Companies with political backing and exaggerated promises about overseas markets drove stock prices up until confidence collapsed.
• Railway Mania (1840s, Great Britain): A real, revolutionary technology. Thousands of miles were built, but many companies went bankrupt. The technology itself survived, investors lost money.
• 1929 Stock Market Crash (USA): Massive use of margin (leverage) fueled speculation. As prices fell, margin calls triggered a domino effect leading to the Great Depression.
• Japanese Asset Bubble (1980s): Rising real estate and stock prices allowed ever-increasing borrowing. The collapse led to decades of economic stagnation (Lost Decades).
• Dot-com Bubble (late 1990s): The internet was a real revolution. Companies with ".com" in their name were valued without profits. The 2000 crash destroyed many startups, but Amazon and the infrastructure survived.
• 2008 Housing Bubble (USA): Cheap loans to subprime borrowers, securitization of those risks, and high leverage led to the collapse of Lehman Brothers and a global financial crisis.

• Parallels: Meme coins (like tulips), projects with celebrity backing (like South Sea), blockchain infrastructure (like railways), crypto leverage products (like 1929), credit bubbles in DeFi (like 2008), AI hype (like Dotcom).
• Core Message: Every bubble started with a real opportunity, then was overtaken by speculation, leverage, and the belief that "this time is different."
• Warning Sign: When prices only rise because of the expectation that someone else will pay more (the greater fool), the bubble is ready to burst.

The speaker argues that financial bubbles are an inevitable part of markets. The key question is whether you recognize the warning signs while standing inside one.

• Quarterly results look fantastic at first glance: 24% revenue growth, cloud growth of 82%, 950 million Gemini users. Yet the stock is down 13% (20% from its peak).
• The big but: Exploding capital expenditures (Capex):
  • From an average of $30 billion per year to planned $205 billion in 2025 and even more from 2027.
  • Capex rises from 10% to 50% of revenue – a fundamental shift in the business model.
• First time negative free cash flow: -$6 billion in one quarter.
• Commitments skyrocket: In just one quarter, $470 billion were added, totaling $707 billion. This far exceeds the backlog.

• High depreciation eats into profits: With $250 billion in annual Capex, depreciation (D&A) surges. Even if revenue doubles to $900 billion in 5 years, profits could be close to zero due to depreciation.
• Return on invested capital questionable: The author fears that even if AI works, the industry will see low ROIC – similar to internet infrastructure providers in the past.
• Valuation: Even under optimistic assumptions (15% growth), Google offers no margin of safety according to the analysis. Intrinsic value is far below the current price.

• Risk-reward profile: High loss potential (50% possible) with low expected return. The analyst downgrades Google to a 'Bet' (risky wager).
• Warren Buffett's purchase: Seen as potentially a mistake, as Google no longer fits Berkshire's profile (negative cash flows).
• Outlook: