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bubble

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🚨 The “40% concentration rule” is flashing a major warning sign again. According to BofA research, the top 10 stocks now make up roughly 40% of the market — a level historically seen near major bubble peaks. 📉 Similar concentration levels appeared before: • 1929 crash • 1960s “Go-Go” bubble collapse • 2000 dot-com crash Today, mega-cap AI and tech stocks dominate market performance once again. ⚠️ High concentration does NOT guarantee an immediate crash, but it does mean markets become far more fragile if leadership starts breaking down. #Stocks #AI #Nasdaq #Markets #Bubble
🚨 The “40% concentration rule” is flashing a major warning sign again.

According to BofA research, the top 10 stocks now make up roughly 40% of the market — a level historically seen near major bubble peaks.

📉 Similar concentration levels appeared before: • 1929 crash
• 1960s “Go-Go” bubble collapse
• 2000 dot-com crash

Today, mega-cap AI and tech stocks dominate market performance once again.

⚠️ High concentration does NOT guarantee an immediate crash, but it does mean markets become far more fragile if leadership starts breaking down.

#Stocks #AI #Nasdaq #Markets #Bubble
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Υποτιμητική
Market cap of snp500 / M2 money supply is over dot com levels. Make of that what you will #Bubble #Aİ #snp500
Market cap of snp500 / M2 money supply is over dot com levels.

Make of that what you will

#Bubble #Aİ #snp500
**Warren Buffett Indicator just hit 230%. Highest ever.** 🎯 Everyone calling it the biggest bubble in history. But the formula was built for 2001. Not 2026. ⚡ Here's what the indicator gets wrong — 💣 **Problem 1 — Global vs Domestic** Numerator = global stock market value. Denominator = US GDP only. Apple. Nvidia. Microsoft. 56-67% of tech revenue comes from outside US. Stock market prices global cash flows. GDP only measures domestic production. **The math is structurally broken.** 🎯 **Problem 2 — Buffett used GNP not GDP** Almost nobody mentions this. GDP = production inside US borders. GNP = production by US businesses globally. Modern analysts quietly swapped them. **That alone inflates the reading artificially.** 🌍 **Problem 3 — Digital economy is invisible to GDP** Google. YouTube. Instagram. Gmail. Trillion dollar businesses. Users pay nothing. GDP captures almost none of it. 💣 **Problem 4 — Corporate profits structurally higher** Historical average: 7-8% of GDP. Today: nearly 14%. Higher permanent profits = higher valuations justified. Indicator assumes full reversion. **That assumption may be permanently wrong.** 🎯 **Problem 5 — Track record is weak** Indicator crossed 100% in 2013. S&P tripled since then. Study found it correctly predicted only 50% of major declines. **That's a coin flip.** 🌍 **Problem 6 — Fed changed everything** Pre-2008 Fed balance sheet: under $1T. Peak: above $9T. Trillions in liquidity inflated asset prices. Original thresholds never accounted for this. 💣 **Problem 7 — International comparison breaks the model** Taiwan Buffett Indicator: 325%. Hong Kong: exceeds 1000%. Not because they're in bigger bubbles. Because their markets price global dominance. 🎯 None of this means stocks are cheap. Markets can still crash. Hard. 🌍 But applying a 2001 formula to a 2026 global digital economy and calling it definitive — **Is like using a 1990 map to navigate a 2026 city.** 📉 The roads changed. The map didn't. 🔢 #BuffettIndicator #Stocks #SP500 #Bubble #Macro
**Warren Buffett Indicator just hit 230%. Highest ever.** 🎯

Everyone calling it the biggest bubble in history.

But the formula was built for 2001. Not 2026. ⚡

Here's what the indicator gets wrong — 💣

**Problem 1 — Global vs Domestic**
Numerator = global stock market value.
Denominator = US GDP only.

Apple. Nvidia. Microsoft.
56-67% of tech revenue comes from outside US.
Stock market prices global cash flows.
GDP only measures domestic production.
**The math is structurally broken.** 🎯

**Problem 2 — Buffett used GNP not GDP**
Almost nobody mentions this.
GDP = production inside US borders.
GNP = production by US businesses globally.
Modern analysts quietly swapped them.
**That alone inflates the reading artificially.** 🌍

**Problem 3 — Digital economy is invisible to GDP**
Google. YouTube. Instagram. Gmail.
Trillion dollar businesses.
Users pay nothing.
GDP captures almost none of it. 💣

**Problem 4 — Corporate profits structurally higher**
Historical average: 7-8% of GDP.
Today: nearly 14%.
Higher permanent profits = higher valuations justified.
Indicator assumes full reversion.
**That assumption may be permanently wrong.** 🎯

**Problem 5 — Track record is weak**
Indicator crossed 100% in 2013.
S&P tripled since then.
Study found it correctly predicted only 50% of major declines.
**That's a coin flip.** 🌍

**Problem 6 — Fed changed everything**
Pre-2008 Fed balance sheet: under $1T.
Peak: above $9T.
Trillions in liquidity inflated asset prices.
Original thresholds never accounted for this. 💣

**Problem 7 — International comparison breaks the model**
Taiwan Buffett Indicator: 325%.
Hong Kong: exceeds 1000%.

Not because they're in bigger bubbles.
Because their markets price global dominance. 🎯

None of this means stocks are cheap.
Markets can still crash. Hard. 🌍

But applying a 2001 formula
to a 2026 global digital economy
and calling it definitive —

**Is like using a 1990 map
to navigate a 2026 city.** 📉

The roads changed.
The map didn't. 🔢

#BuffettIndicator #Stocks #SP500 #Bubble #Macro
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