The P/E10 ratio* closely tracks the real (inflation-adjusted) price of the S&P Composite, with a detrended correlation of 0.9977 since 1881. *NOTE: The P/E10 ratio, also known as the CAPE Ratio, is a stock valuation metric that divides a broad market index's current price by its average inflation-adjusted earnings over the past 10 years. It has been used by analysts to determine how expensive or cheap the market is. It strips out noise and looks at real earnings adjusted for inflation to give investors a better sense of value. The historical average for the P/E10 is 17.7, but it has experienced dramatic swings between over- and undervalued periods. The latest April reading of 37.9 is 69% above its long-term trendline. The disconnect has grown even wider as we closed out May. Prior overshoots include: • Panic of 1873 (Railroad bubble) • Panic of 1907 (Copper Scheme) • 1929 (Peak before Great Depression) • 1966 (Peak before stagflation of the 1970s) • 2000 (Peak of dot-com bubble) • 2007 (Peak prior to GFC) • 2021 (Last peak before 2022 Bear) However, none of the prior overshoots I just listed, as shown in the attached chart, extended as far above the market’s “fair valuation” trend as today. ‼️2026 is by far the largest disconnect from trend in over 150 years‼️ And regardless of how big this current bubble is blown, this time is NOT different. All prior overshoots were followed by a drastic decline in markets, both in real and nominal terms. Have a lovely Sunday. 😊 Source: Advisor Perspectives

🚨 GOLD IS ABOUT TO REPEAT 1979 🇺🇸 TRUMP just requested an audit of 147 MILLION ounces of gold. That’s $700 BILLION at current prices. And the worst part is.. The last public audit was in 1979. And now the same chart, 50 years apart: 1979: Iran War → Gold Audit → Chaos and Dump 2026: Iran War → Gold Audit → (We are here) I created a pre-dump GOLD trading guide using AI based on OpenClaw.. All you need: a phone + Claude + 1 hour a day (free) To join: • Comment "Gold" • Like and Retweet Same pattern. Same setup. History doesn't repeat but it rhymes. (Must follow me so I can send you a DM, good luck)

🚨 GOLD IS FLASHING A MAJOR WARNING. Gold just posted 3 consecutive red monthly candles for the first time since June 2022. The last time this happened, gold crashed for 6 straight months.

NEXT WEEK’S SCHEDULE IS INSANE FOR MARKETS MONDAY → FED PRESIDENT SPEECH TUESDAY → FOMC ANNOUNCEMENT WEDNESDAY → BEIGE BOOK (ECONOMIC REPORT) THURSDAY → FED INJECTS $6.57 BILLION FRIDAY → U.S. UNEMPLOYMENT RATE GET READY FOR THE MOST VOLATILE WEEK OF 2026!!

🚨 WARNING: TOMORROW WILL BE THE WORST DAY OF 2026!! → The new Fed chair confirmed interest rate HIKES. → Japan is starting QE to prevent the bond market collapse. → China is nonstop dumping U.S. Treasuries. → US-Iran peace deal is now officially CANCELLED. When markets reopen on Monday, this won't be “just a small dip.” Stocks will dump. Bonds will dump. Bitcoin will dump even harder. Insiders already know what's coming. They are not “buying the dip.” They are raising cash, cutting risk, and positioning for the largest risk-off event of the year. Meanwhile, pressure is building across the global financial system. China is dumping foreign treasuries, pushing holdings to the lowest levels seen since 2008. Foreign demand for U.S. debt is disappearing as deficit, inflation, and geopolitical concerns grow. At the same time, Japan's bond market volatility has forced the BOJ back into QE. When the world's two largest foreign creditors step back from debt markets simultaneously, global liquidity disappears fast. → Japanese bond yields are surging → Foreign demand for U.S. Treasuries is weakening → Global bond markets are under heavy pressure → Oil markets remain unstable → Liquidity is tightening worldwide → Volatility is spreading across asset classes This is no longer one isolated problem. This is systemic pressure building across MULTIPLE fronts simultaneously. And now add the geopolitical risk. The U.S.-Iran peace deal fell apart after negotiations failed to produce a lasting agreement. When diplomacy breaks down, markets stop pricing certainty. They price ESCALATION. And once markets begin pricing the possibility of a prolonged U.S.-Iran conflict... Energy markets become impossible to stabilize. Oil does not rise gradually. It goes parabolic. Shipping routes become vulnerable. Supply chains break down. Inflation surges globally. Which means interest rates stay higher for longer. And that creates the exact environment markets cannot survive in: → Slowing growth → Persistent inflation → Tight liquidity → Rising geopolitical risk → And collapsing investor confidence And risk assets? They do not “dip.” They DUMP HARD. This is exactly how chain reactions begin. Because once markets start pricing prolonged instability instead of temporary uncertainty, the entire framework changes. Because once this accelerates, there will be no time left to react. I have spent years tracking macro and systemic market reactions like this. When the next move becomes obvious, I will share it here publicly. Follow and turn notifications on. Because by the time it reaches the headlines, it is already too late.

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University ·