THIS is The EXACT Date of The Next Stock Market Crash.

[00:00:00] Speaker 1: There is a specific window, not a year, not a quarter, a specific multi-month window where every single major crash indicator we have is going to peak at the same time. And I'm going to show you exactly when that window opens because the data is pointing at the same dates from five completely different directions. And the scariest part, most people are going to be completely blindsided by it. Today I want to talk about something that a lot of people are dancing around but nobody is saying clearly. The stock market right now is sitting at one of the most dangerous valuation levels in over 140 years of recorded financial history. I'm not saying this to scare you. I'm saying this because the data is there, it's public. And once you see all of it lined up together, the exact indicators, the exact dates, the exact historical parallels, you're going to understand why this conversation is happening right now, in 2026 and not in 2022 or 2023. Here's what we're going to cover. First, I'll show you exactly where the market stands right now and why every major valuation tool is flashing a warning you cannot ignore. Then I'll show you the specific trigger events that are coming, when they're coming, and why they all land inside the same window. And then I'll connect that to every major crash in modern history to show you this isn't theory, it's a pattern that has repeated itself over and over again. By the end of this, you'll have a clear picture of the timeline. Stay with me. Let's start with a question. How do you know when a market is too expensive? You've probably heard people say the market is overvalued before. In 2021, people said it. In 2023, people said it. And nothing happened immediately. So people stopped listening. That's the problem with valuation warnings. They're often early. But here's the thing about being early. Every single crash that has ever happened in this market was preceded by people being early with the warning. The warning was right. The timing was just off. So let's look at the actual numbers right now. The first tool is the Schiller-CAPE ratio. CAPE stands for Cyclically Adjusted Price to Earnings. It was developed by Nobel Prize winner Robert Schiller. And what it does is it takes the price of the S&P 500 and divides it by the average earnings of the last 10 years, adjusted for inflation. The reason you use 10 years instead of just one year is that one year of earnings can be misleading. If you had one bad year, the ratio looks cheap. If you had one great year, it looks expensive. 10 years smooths all of that out. What does the Schiller-CAPE say right now? As of May 2026, it sits at approximately 41.6. Let me put that in context for you. The long run average since 1881, that's over 140 years of data, is about 17.3. So right now the ratio is more than double the historical average. But it gets more specific than that. A CAPE above 40 has only happened twice in 140 years of US market history. The first time was December 1999, when it hit 44.19, right before the dot-com crash that sent the NASDAQ down 78%. The second time is right now. Let that sink in for a second. The current CAPE ratio is higher than it was before the 2008 financial crisis, which peaked at around 27. It's higher than the level right before the 1929 crash, which was around 32. The only time we've ever been here before, was the very peak of the dot-com bubble. And we know how that ended. Now here's where people usually push back. They say things like, but the economy is different now. Tech companies are more profitable. You can't compare today to 1999. And fair enough, today's major tech companies are actually making real money. Unlike a lot of dot-com companies, so maybe a higher CAPE is justified. Maybe 30 is the new normal. Maybe 35. But 41, sitting at the second highest reading in over a century. That's a different conversation. The second tool is the Buffett indicator. Warren Buffett himself called this probably the best single measure of where valuations stand at any given moment. It's simple. You take the total market cap of all US stocks and divide it by US GDP. The idea is that over time, the market can't grow much faster than the actual economy that's driving it. If it does, something has to give. As of June 7th, 2026, literally yesterday, as I'm recording this, the Buffett indicator sits at 231.7%. Let me put that in context too. The threshold that's historically been considered significantly overvalued is around 120 to 150%. Right before the dot-com crash, it hit about 146%. Before the 2008 financial crisis, it peaked around 109%. Today it's at 231.7%. That's not just high. That's more than double what it was before 2008. It's 60% higher than the dot-com peak. This number has never been this high in any previous period of recorded US financial history, except for a brief window in late 2024 to early 2025. The third tool is the standard forward PE ratio of the S and P500. As of early 2026, the S and P500 PE ratio is roughly 76% above its modern era average. That puts it about 1.9 standard deviations above where it should be. In statistics, when something is two standard deviations above average, it's considered an extreme outlier. We're right at that threshold. So three separate valuation tools, built by three different people using three different methodologies, are all saying the exact same thing. This market is at or near the most expensive it has ever been in modern history. And here's where things get interesting. Because valuation alone never tells you when the crash is coming. The market can stay overvalued for years. What turns an overvalued market into a crashing market is a trigger. And right now, in 2026, the triggers are lining up in a way that has never happened before. So let's talk about triggers. And specifically, let's talk about the sequence of triggers that's about to play out over the next 12 to 18 months. Trigger one, the biggest IPO wave in history. Right now, three of the most valuable private companies in history are all going public at the same time. SpaceX has filed its S-1 prospectus and is targeting a listing on the NASDAQ. OpenAI is reportedly preparing a confidential SEC filing, with a debut potentially as early as September 2026, at a valuation approaching $1 trillion. Anthropic, yes, the company that makes Claude has already submitted a confidential filing with the SEC, with reports suggesting a listing targeting a valuation of around $1.2 trillion. If you line all of these up, you're looking at potentially three separate IPOs, each one individually the biggest in history, happening within the same 12-month window. Never in financial history has the market had to absorb this much new paper at once. Now think about what that actually means. When SpaceX lists and then gets added to the NASDAQ 100 index, which it will, because any company of that size that lists automatically qualifies, every index fund that tracks the NASDAQ 100 is forced to buy SpaceX. Your QQQ, your QQQM, every ETF that tracks that index. They don't have a choice. It's mandatory. And to buy SpaceX, they have to sell something else. Some other stock in the index has to be reduced to make room. That's called structural forced selling, and it creates downward pressure on everything else in the index at exactly the moment when money is already being pulled out to fund the IPOs in the first place. Bank of America's chief investment strategist, Michael Hartnett, flagged something else about this IPO wave that should stop you in your tracks. He said that when you add SpaceX, OpenAI and Anthropic to the S&P 500 and NASDAQ 100, the technology sector's weight in those indexes will breach 48%, surpassing concentration peaks seen during the roaring 20s, the nifty 50 era of the 1970s and the Japanese stock market bubble of the 1980s. We're talking about a level of sector concentration that has no precedent in modern market history. And here's the thing about all three of these companies. SpaceX reported $18.67 billion in full-year 2025 revenue. That's real revenue. But the IPO valuation is reportedly around $1.7 trillion. That's a price to revenue multiple of roughly 91 times. OpenAI and Anthropic are both currently operating at a loss. As Fortune reported just last week, these are companies that are losing more money than they make and they're being priced at valuations in the hundreds of billions to over a trillion. That's not a company going public. That's founders and early investors, the people with the most information about the company, deciding that right now, at the peak of the AI hype cycle, is the perfect moment to let retail investors be their exit. In Q1 2026 alone, global venture capital poured approximately $300 billion into around 6,000 startups, with about 80% of that capital going into AI. That's the biggest single quarter for venture capital on record. The money is pouring in faster than ever. And the people receiving that money are rushing to the exits. And if you want to survive in this crash, I've made a free video where I show you step by step how I'm getting rich in this crash. And how you can too. It's very easy. You can watch it in the link below. Trigger two, the concentration risk time bomb. We've talked about concentration before on this channel. But let me give you the specific numbers for 2026. Because they've gotten worse since we last looked at them. Right now, just five companies, Nvidia, Microsoft, Apple, Google and Amazon, represent nearly 30% of the entire S and P 500. Think about that. The S and P 500 has 500 companies. Five of them make up almost a third of the whole thing. That means when those five stocks go down, the whole index goes down hard. This kind of concentration has a specific name in financial history. It's called the nifty 50 problem. In the late 1960s and early 1970s, the market became obsessed with 50 must-own growth stocks. Companies like Xerox, Polaroid, Avon Products and those stocks got bid up to insane valuations because everyone just had to own them. Then in 1973 and 1974, the market collapsed and those nifty 50 stocks fell the hardest of all because everyone tried to sell them at the same time. The same thing happened with dotcom stocks in 2000. The stocks that had gone up the most were the ones that fell the most. This kind of concentration has a specific name in financial history. It's called the nifty 50 problem. In the late 1960s and early 1970s, the market became obsessed with 50 must-own growth stocks. Companies like Xerox, Polaroid, Avon Products and those stocks got bid up to insane valuations because everyone just had to own them. Then in 1973 and 1974, the market collapsed and those nifty 50 stocks fell the hardest of all because everyone tried to sell them at the same time. The same thing happened with dotcom stocks in 2000. The stocks that had gone up the most were the ones that fell the most. The difference today is that the magnificent seven of today, unlike the nifty 50 or many dotcom stocks, are genuinely profitable companies with real businesses. So this isn't necessarily a solvency crash where the companies go to zero. But when 30% of the index is concentrated in five names that are already at historically extreme valuations, the degree to which those stocks fall when the correction comes will determine the depth of the entire market downturn. Here's a concrete example of what this looks like in real time. We've already started to see it. When a high quality tech company reports genuinely strong earnings but still gets sold off, revenue up big, EPS beats estimates, but the stock drops double digits. That's a classic late cycle signal. The market had already priced in perfection. The earnings were good, but not better than what was already baked into the stock price. And sophisticated investors used the good news as an opportunity to reduce exposure before things get harder. That pattern, sell the good news, take the profit, prepare for what's coming, is textbook late cycle behaviour. And it's been showing up repeatedly in 2026. Late cycle behaviour means we're near the end of the cycle. It doesn't mean the crash is tomorrow. But it does mean we're much closer to the end than the beginning. There's also a more psychological element to the concentration risk. When everyone owns the same stocks – and everyone does, because every index fund in the world owns the Magnificent Five in some form – there's nobody left to buy when those stocks need support. The buying has already happened. The incremental new money coming into the market has been going into the same stocks for years. Eventually you run out of new buyers. And when that happens, the only direction is down. Trigger three: the yield curve and what it's telling you. The yield curve is probably the most accurate recession predictor in financial history. The New York Federal Reserve has an official model for this, developed by economists Estrella and Michigan in 1998, and it's called the three-month to ten-year spread. What it measures is the gap between short-term and long-term interest rates. In a healthy economy, you expect long-term rates to be higher than short-term rates. That makes sense. You should get paid more for locking up your money for longer. When the curve inverts when short-term rates are actually higher than long-term rates, it's the market saying things are going to get worse, not better. And the reason this matters is that this inversion has preceded every single US recession since World War II without exception. As of late May 2026, the three-month to ten-year spread had flipped negative again after a brief positive period in early 2026. The NY Fed recession probability model currently puts the 12-month ahead recession probability above 30%. Historically, a reading above 40% to 50% has been a near-certain signal that a recession is coming within the following year. Now here's what's important about that. The yield curve doesn't cause crashes, it predicts them. It's telling you that the bond market, the smartest, most sophisticated money in the world, is pricing in a slowdown. And recessions and stock market crashes are very closely linked. Trigger four: the presidential cycle, the most overlooked clock. This is the one most people forget about. And it might be the most precise timing signal of all. Since 1933, the second year of a presidential term, which is 2026, has been the weakest and most volatile year of the four-year cycle. With an accuracy rate of roughly 90%. The average intra-year drawdown during midterm election years since 1950 is 18%. 18%. That's not a crash. That's a correction. But an 18% correction from the current S and P500 levels would be significant. Here's why it happens. Midterm elections create policy uncertainty. The party in power almost always loses congressional seats. Which changes what legislation can pass. Which changes the economic outlook. Investors don't know what the rules will look like after November. So they pull back. And historically the market weakens through the summer and into October of a midterm year. And then rebounds strongly after the election results are clear. The key phrase there is 'through October'. Because if you combine a midterm election year correction with everything else we've talked about. The extreme valuations. The IPO wave. The yield curve signal. The concentration risk. You get a situation where the correction could be much deeper than the historical average. Trigger four and a half. What the Fed can and cannot do. Here's something important that most people overlook. When they're thinking about market crashes. They assume the Federal Reserve will always step in and save the market. And for the last 15 years that assumption was basically correct. Every time the market started falling too fast. The Fed cut rates and pumped in liquidity. And everything recovered. But that safety net has a condition. The Fed can only do that when inflation is under control. When inflation is running hot, the Fed's hands are tied. They can't cut rates aggressively when inflation is already above their target. Because cutting rates makes inflation worse. And right now in 2026, inflation is the exact problem. The Fed cut rates 175 basis points between September 2024 and December 2025. Bringing the Fed funds rate down to a range of 3.50% to 3.75%. But inflation hasn't fully cooperated. Job data coming in stronger than expected. Factory orders running hot. And the broader economic data is giving the Fed very limited room to ease aggressively if the market starts to fall. There's also the oil wildcard. Goldman Sachs has modelled oil potentially hitting $150 a barrel this year. Tied to ongoing disruptions in the Strait of Hormuz. One of the most critical choke points in global energy supply. About 20% of the world's oil passes through that waterway. If that supply gets cut or severely restricted, you get an oil shock. And here's the historical fact about oil shocks. Virtually every major US recession since the 1970s has been preceded by a significant spike in oil prices. Look at 1973. Look at 1979. Look at 2007 and 2008. When oil hit $147 a barrel right before the financial crisis blew up. Look at 2000 when oil doubled in price heading into the dot-com crash. A Fed that's constrained by inflation combined with a potential oil shock means the traditional crash backstop, rate cuts and liquidity injections may be significantly weaker this time than in 2020 or 2009. And there's a leadership element here too. Fed chair. Jerome Powell's term expired in May 2026. A new chair is now in place. Markets don't know exactly how the new leadership will respond to a market downturn. That uncertainty itself is a risk factor. In every transition period for Fed leadership in history, markets have priced in some extra volatility just from the lack of predictability. Trigger five, the lockup expiration calendar. This is the most specific piece of the timing puzzle and it's the one that gives us the clearest window. When a company goes public through an IPO, the founders, early employees and early investors are typically locked out from selling their shares for six months after the listing. This is called the lockup period. After six months, the lockup expires and those insiders can start selling. If SpaceX lists in mid-June 2026 as currently targeted, the lockup expires in mid-December 2026. If OpenAI lists in September 2026, its lockup expires around March 2027. If Anthropic lists in October or November 2026 as reported, its lockup expires around April or May 2027. So here's the window. December 2026 to May 2027. That's the period when billions and potentially trillions of dollars in insider shares across these three companies become legally available to sell. The people who built these companies, who funded them, who know them better than anyone, they can finally cash out. And history tells us that insider selling after lockup expiration often creates significant downward pressure on a stock's price. But it's not just the individual stocks. If SpaceX insiders dump shares in December 2026, that creates selling pressure across the tech sector. If OpenAI insiders follow in March 2027 and Anthropic insiders in April 2027, you have a cascading wave of insider selling across the most hyped, most concentrated, most expensive sector of the most expensive market in over 140 years. All happening in the same six-month window. And what else is happening in that same window? The mid-term elections are in November 2026. The market finds out in November and December 2026 whether the current administration retains control of Congress. The post-election uncertainty, who wins, what policies change, overlaps almost perfectly with the beginning of the lockup expiration window. Let me show you what all of this looks like together on a timeline. Because when you line it up, the picture becomes very clear. April to October 2026. This is the historically weak period in mid-term election years. Markets typically pull back. The S&P 500 average intra-year drawdown in this type of year is around 18%. This phase is already starting. November 2026. Mid-term elections. Policy uncertainty resolves, but the resolution may not be favourable to markets. Historical data since 1933 shows the second year of a presidential term has an average annual return of somewhere between 3% to 6% with high volatility compared to double-digit returns in pre-election years. December 2026. SpaceX lockup expiration. The first wave of insider selling pressure hits the market. This coincides with the post-election uncertainty period. January to February 2027. The earnings reports for SpaceX, OpenAI and Anthropic, if listed, begin coming in as public companies. For the first time investors will see the real numbers publicly audited with quarterly guidance. The market will decide which of these companies actually justifies its valuation. History tells us the first few public earnings cycles are when overvalued, IPO stocks get repriced. March to May 2027. OpenAI and Anthropic lockup expirations. Second wave of insider selling. This is the deepest part of the danger zone. Now, not all of this has to go wrong at once for it to matter. You don't need all five triggers to fire simultaneously. You just need two or three to overlap. And when you look at the calendar, December 2026 through April 2027, is the window where the most triggers converge. And remember that, if you want to survive in this crash, I've made a free video where I show you step by step how I'm getting rich in this crash. And how you can too. It's very easy. You can watch it in the link below. Let me give you a specific comparison to make this real. In the dot-com crash, the market didn't fall all at once. The Nasdaq peaked in March 2000. Then it started falling. It had a brief recovery in the summer. Then it fell again in the fall. And it kept falling for two and a half years, all the way down 78%. The people who got hurt the most weren't the ones who were in the market at the peak. It was the people who thought the first 20% decline was a buying opportunity, bought more, and then held on as it kept falling. In 2008, the S&P 500 had already dropped about 20% by September 2008. Most investors thought it was just a correction. Then Lehman Brothers collapsed in September, and the market fell another 40% from there. The point is that the recognition of a crash is always late. By the time it's obvious, most of the damage is done. And here's a piece of the picture that directly connects to the IPO wave. More than 600 current and former OpenAI employees have already sold $6.6 billion in company stock through secondary markets before the IPO even happens. Think about what that tells you. The people who built the company, who work there every day, who know the product, the financials, and the competitive landscape better than anyone, they are already selling. Not waiting for the public market. Selling now through whatever channels they can find. That's not insider trading. It's perfectly legal through secondary markets. But it is a signal. When the people with the most information are finding ways to exit before the general public even gets access, that is not typically a sign that the stock is about to triple. Bank of America described this entire IPO cycle plainly. They said it is essentially a large scale transfer of accumulated risk from early investors to the public market. That's the phrase, transfer of risk, to the public market, to you. Early investors put in money when the risk was high and the valuation was low. They absorbed the risk during the uncertain years. Now they want to transfer that risk to the public. To retail investors. To pension funds. To 401ks. At the peak of the hype cycle. At the highest possible valuation. That is how IPOs at market tops work. And we have three of them stacked in a row. There's also the earnings reality check coming. Right now, SpaceX, OpenAI and Anthropic are private companies. You only know what they choose to tell you. The moment they go public, they are required by law to file quarterly earnings reports. Full financials. Publicly audited. Analysts pick them apart. And for companies that are currently valued based on hopes and projections, rather than proven profitability. That first earnings season, as a public company, is often when the market gets its reality check. The valuation gets tested against actual numbers. And historically, when the actual numbers don't match the narrative that justified the trillion dollar valuation. The stock reprices. Fast and hard. Now here's the number I want you to remember. The current CAPE ratio of 41.6 is 145% above its long-term geometric average. A full mean reversion, which doesn't always happen, but has happened after every major bubble in history, would imply a roughly 55% to 60% decline in real equity prices from current levels. That's not a prediction. That's just what returning to average means at current valuations. And 55% to 60% is the range of the dot-com crash. Do I think we're going to get a 60% crash? Not necessarily. And not necessarily in one move. Markets can spend years gradually deflating. What I'm saying is that the conditions for a significant and prolonged market downturn, not a brief correction, but a real sustained repricing, are more fully in place right now than they have been at any point since 1999 and 2000. In Q1 2026, 79% of institutional investors, the hedge funds, pension funds, and sovereign wealth funds that collectively manage around $30 trillion, said they expect a market decline. 49% specifically projected a 10% to 20% drop. These aren't retail investors guessing. These are the people who manage the largest pools of money on earth. And nearly 8 out of 10 of them are expecting the market to fall. And Berkshire Hathaway, Warren Buffett's company, is currently sitting on a cash pile of approximately $380 billion. That's not a company that thinks stocks are cheap. That's a company that is waiting. Buffett has spent his entire career saying he doesn't predict the market, but his actions tell a different story. When Berkshire holds $380 billion in cash, Buffett is saying, "I don't see enough value to invest right now. I'd rather wait." The last time Berkshire held this much cash relative to its portfolio was late 1999 and early 2000. Right before the crash. So let me put this all together simply. Right now in June 2026, you have the second highest stock market valuation in over 140 years of financial history by two separate measures. The CAPE ratio and the Buffett indicator. The CAPE is at 41.6. The Buffett indicator is at 231.7 percent. The only time we've ever been anywhere close to this was December 1999, the dot-com peak. On top of that, you have the single largest IPO wave in financial history about to hit the market. Three companies, SpaceX, OpenAI and Anthropic are going public within the next six months at combined valuations in the multiple trillions. This will force structural selling in index funds, drain liquidity from the broader market and concentrate the tech sector's weight in major indexes beyond any historical precedent. On top of that, the yield curve has flipped negative again in 2026, with the NY Fed recession probability model sitting above 30 percent. And the historical record says this indicator has correctly predicted every post-war U.S. recession. On top of that, we're in the historically weakest year of the four-year presidential cycle, the mid-term year. The year when the S&P 500 has averaged an 18% intra-year drawdown since 1950. And we're in the weakest part of that year, the April through October stretch. And then the lock-up expirations arrive. December 2026, March 2027, April 2027. Three waves of insider selling from the most hyped companies in history, landing one after another in a six-month window, during the most overvalued market in modern history. That is the window. December 2026 to May 2027. Now, let me be absolutely clear about what I'm not saying. I'm not saying the market crashes 80% overnight. I'm not saying civilization ends. I'm not telling you to sell everything and hide your money in a mattress. What I am saying is that the specific combination of conditions that have historically preceded major multi-year bear markets, extreme valuations, liquidity shocks, insider selling pressure, political uncertainty, and a weakening economic backdrop are all scheduled to converge within the same six-month window starting in December 2026. History doesn't repeat exactly, but it rhymes so loudly sometimes that you'd have to be deliberately not listening to miss it. The people who did well through 2000 to 2002 and through 2008 to 2009 weren't the people who predicted the exact bottom. They were the people who recognised the late-cycle signals, reduced their exposure to the most overvalued assets, held more cash than felt comfortable, and then used the correction to buy great businesses at reasonable prices. The crash isn't the enemy. Being unprepared for it is. Now let me be honest about what no one can know for certain. Nobody can tell you with 100% certainty that December 2026 is the exact month the market falls off a cliff. Maybe the Fed finds a way to engineer a soft landing. Maybe AI productivity genuinely exceeds expectations, and corporate earnings catch up to these valuations. Maybe the IPOs go so well that market sentiment gets an extra six months of fuel. These scenarios are possible. But here's what I want you to hold on to. Every bear market in modern history had indicators that were flashing red before it started. Every crash had people pointing to the signals. And in every single case there were also smart-sounding reasons why this time is different. Why the old rules didn't apply. Why the valuation metrics were misleading. Why the crash people were predicting wasn't going to come. In 1999 and 2000 the argument was that the internet changes everything. And traditional valuation metrics are obsolete. The internet did change everything. And the Nasdaq still fell 78%. In 2006 and 2007 the argument was that housing always goes up. That financial innovation had spread and managed risk better than ever. And that global growth would continue indefinitely. Some of that was even true. And the S&P 500 still fell 57% in 18 months. So yes, AI is genuinely transformative technology. Yes, today's major tech companies are genuinely profitable. In a way that 1999 dot-com companies were not. These points are real, but none of them change the basic arithmetic of what happens when an asset class gets priced at two times its historical average valuation. With the liquidity shock on the horizon. With the smartest money in the world already reducing exposure. At some point the math catches up with the narrative. And this is actually good news for prepared investors. Every major bear market in history eventually bottomed. The S&P 500 recovered from the dot-com crash. It recovered from 2008. It recovered from 2020. And every time it recovered, it rewarded the people who had kept some dry powder. Who had some cash or defensive positions going into the downturn. With the opportunity to buy great businesses at deeply discounted prices. 2009 was the greatest buying opportunity of the last 50 years for anyone who had cash available. 2020 was the second greatest. The people who were fully invested at the peak. And sold in panic at the bottom. Locked in their losses. The people who had reduced exposure going in. And bought during the panic made fortunes. The window that's coming. December 2026 to May 2027. Could be one of those opportunities. But only if you're prepared going in. Only if you don't arrive at the bottom fully invested. With no capacity to act. You don't need to predict the exact day. You need to understand the window. And now you do. Subscribe and watch the video in the link below. To understand how I'm getting rich in this crash. Just a reminder. I'm not a financial advisor. This video is for educational purposes only. And any results depend on your own decisions and actions.