Welcome to Nofinity

• The realized price is an on-chain metric indicating the average acquisition cost of all Bitcoins in circulation.
• It is calculated by dividing the realized cap (the aggregate value of all coins at their last movement price) by the circulating supply.

• In past bear markets (2011, 2014/2015, 2018, 2020), Bitcoin's price fell below the realized price before reaching the market bottom.
• Currently, the realized price is around $53,000–$54,000. Historically, dipping below this level signals the end of a bear market.
• Note: Models disagree—some predict a bottom at $60,000, while others suggest lower prices.

• The ratio of Bitcoin price to realized price is slightly above 1.0, meaning the price hasn't yet dropped below.
• Historically, Bitcoin spends only a short time (a few months) below the realized price.
• A potential bottom may align with typical mid-term year cycles, where lows occur later in the year.

• The speaker emphasizes: "All models are wrong, some are useful" – data is presented neutrally.
• The supply of Bitcoin in profit/loss also shows signals suggesting a near-term bottom, but it's not guaranteed.

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:

Summary follows...

• Bitcoin at ~$65K, up 11% in July.
• August could offer buying opportunities, but no moon shot yet.

• Hashrate heading for first annual drop; all-time high in Oct 2023, then steep decline.
• Miners pivoting to AI power usage rather than capitulation.
• Historically, such a drop marks the bottom of a bear market.

• Long-idle coins reach lowest level since 2018.
• Indicates holders are not selling – a positive sign.

• BitMart (13M users) and BitMEX (2M) shutting down.
• Withdrawals halted at BitMart – warning about exchange risks.
• Historically often signals market bottom.

• Coinbase policy chief spoke with Senator Thune: vote possible next Monday.
• Not certain yet, but could be a catalyst for altcoins.

• G7 money supply exploding (Canada +370%, USA +279% since 2004).
• Bitcoin relative to global M2 cheapest ever.
• Fiat going to zero – Bitcoin is hardest money.

• Selling own stock to raise cash for STRC dividends.
• Also buying STRC on market – circular action.
• Stock up +7.7% today to ~$100 – but not sustainable.

• Historical patterns suggest bottom in ~50 days (from hashrate data).
• Last optimists leaving the room – time to buy?