HK Stock Bootcamp 2026-06-08 13:54

U.S. Stocks Jumped 16% in Two Months—But Three Hidden Bombs Lurk: 63% 0DTE, Vanishing Liquidity, and AI Hitting Transformer Bottlenecks

Summary:U.S. stocks have surged 16% in two months—an extremely rare century-level move—but three deadly hidden risks are building underneath: 63% 0DTE options amplifying volatility, shadow liquidity drying up, and AI hitting transformer bottlenecks. The market structure is echoing Black Monday 1987, and the seemingly strong AI bull market may actually be sitting on a major crash risk.

Big Trouble! U.S. Stocks Surge 16% in Two Months, Hiding the Same Crash Bomb as Black Monday 1987

The U.S. market has just produced an extreme move rarely seen in nearly a century. In April–May this year, over just two months, the S&P 500 surged 16%—not annualized, not a long-term return, but a real short-term rocket move. Looking back across nearly 100 years of U.S. stock history since 1928, such a sharp short-term rally has happened only five times. Scarcity is maxed out, and structural risk has exploded.
Many investors are enjoying gains in their accounts while ignoring the lethal risks beneath the move. Schwab chief investment strategist Liz Ann Sonders has shown that in this 16% surge, only 17% of S&P 500 constituents outperformed the index. The other 83% lagged all the way. This means the rally is extremely narrow, driven by just a few mega-cap tech names. If those leaders pull back, a broader selloff could follow.
This so-called AI bull market is far less stable than it looks. A deep dive shows three deadly bombs are going off at the same time. They reinforce each other and are highly reminiscent of the 1987 Black Monday crash. This is not ordinary volatility—it is a three-layer systemic risk: trading structure, liquidity structure, and fundamentals.

Bomb 1: The Ghost of Black Monday Returns—63% 0DTE Options Set the Stage for a Crash

On October 19, 1987, U.S. stocks suffered the most brutal Black Monday in history. The Dow plunged 22.6% in one day—equivalent to about $9 trillion of market value today. Post-mortem analysis showed the crash was not caused by bad headlines, but by structural flaws in the market, with the main culprit being portfolio insurance.
At the time, institutions used programmatic stop-loss rules: if the index fell 3%, futures were sold to hedge risk. But once small declines triggered those rules, the selling itself pushed prices lower, which triggered more selling, creating a negative feedback loop that led to a total selloff.
Today’s market has a tool even bigger and more dangerous than portfolio insurance: 0DTE options—options bought and expired on the same day. These are ultra-short-term bets with heavy leverage and huge volatility amplification.
Data show that three years ago, 0DTE options were only 10% of S&P 500 options volume. By late last year they had risen to 45%. And on May 20, Cboe data showed 0DTE volume had surged to 63%. More than two-thirds of options trading is now same-day betting.
The core risk is not retail speculation, but dealer gamma-hedging risk. In calm markets, positive gamma acts like a shock absorber, smoothing up and down moves. But after a sustained rally, dealer positioning can flip into short gamma.
At that point the market flips: when prices rise, dealers are forced to buy even more, pushing the index up; when prices fall, they must sell into weakness, deepening the drop. They stop being stabilizers and become volatility amplifiers. Right now, U.S. dealers’ negative gamma exposure is about $7.5 billion; every 1% drop in the S&P 500 could trigger additional hedging sales that widen the decline by another 1%.
Even more dangerous, 0DTE risk tends to explode in the last two hours before the close, while short-vol positions are near historical extremes. The VIX is at a one-year low, meaning the market has fully spent its “calm” expectations and lost its ability to hedge. Any small negative surprise could ignite a broader crash.

Bomb 2: Shadow Liquidity Has Dried Up—The Market’s Upward Fuel Is Gone

Many investors ask: if the Fed is still tightening and funding costs remain high, why can U.S. stocks still jump 16% in such a short time? The answer is not organic strength—it is the shadow liquidity released by the U.S. Treasury.
During the pandemic, massive QE liquidity piled up in the Fed’s overnight reverse repo (RRP) facility, peaking at $2.5 trillion. Over the past two years, the Treasury kept issuing short-term bills, and money-market funds pulled funds out of RRP to buy them, effectively flooding markets with hidden liquidity—what Wall Street calls “shadow liquidity.”
But that pump has now stopped. Latest data show the Fed’s overnight reverse repo balance is down to just $2 billion—almost zero from its $2.5 trillion peak. The hidden liquidity that supported stocks for two years has completely dried up.
That means any future pressure from Treasury issuance, bank quarter-end repositioning, or capital repatriation could hit bank reserves directly and easily recreate a 2019-style repo market liquidity shock.
At the same time, the market is showing a deadly stock-bond divergence: while U.S. stocks surged 16% over two months, the 10-year Treasury yield climbed from 4.2% to 4.49%, up nearly 30 bps. That stock-up/bond-down pattern closely resembles the days before Black Monday 1987.
From a valuation standpoint, the risk-reward profile is at an extreme low. The equity risk premium (ERP), which measures excess stock returns, has fallen sharply and is now below 4%, well under the historical average of 5%. Investors are taking more risk for less compensation. U.S. stocks have entered a dangerous “high risk, low return” zone.

Bomb 3: The AI Bull Market Hits a Physical Ceiling—The Narrative Breaks

The core logic of this AI-led bull market is that AI compute and data centers will keep expanding, and big tech earnings will keep growing. But now AI has hit a short-term unbreakable physical bottleneck—transformer and grid capacity.
Global large high-voltage transformer capacity is extremely tight. Overseas delivery times are as long as five years, and production is concentrated in a few companies in China, South Korea, and Germany. Siemens, Hitachi, and GE are basically sold out through 2029–2030, with only a small amount of spare global capacity left.
The supply-demand gap is absurd. In the U.S. alone, announced AI data-center projects for 2026 total 12 GW—roughly equal to all of New York City’s electricity demand. Yet among 140 planned projects, only 5 GW have actually broken ground; 11 GW remain stalled. The problem is not money—it is that transformers and transmission infrastructure cannot keep up with AI compute growth.
PJM, the largest grid operator in North America, has received emergency authority from the U.S. Department of Energy and could, in extreme cases, cut power to AI data centers first to prioritize residential and medical use. That means the “AI can expand infinitely” narrative is completely detached from reality.
The AI sector now suffers from three fatal mismatches that are undermining the bull case: capital mismatch—hundreds of billions in GPU spending may lead to no power available, turning capex into sunk cost; time mismatch—AI projects can be built in two years, but grid infrastructure takes seven or more; and attention mismatch—the market is obsessed with AI models while ignoring the hard physical constraints of power infrastructure.
Morgan Stanley warns that in 2027–2028 many AI data-center projects will be delayed or halted by grid bottlenecks, big tech earnings expectations will be cut, and the core valuation anchor of the AI bull market will loosen.

Three Bombs in Sync: A Full Replay of 1987-Style Crash Risk

When you break down the risks, the seemingly separate options structure, liquidity problem, and AI infrastructure issue all point to the same core: the current market is pricing a perfect world of zero risk, unlimited liquidity, and endless AI growth. Reality has already accumulated far more risk than the market admits.
Compared with the eve of Black Monday 1987, today’s setup looks highly similar: ignoring rate risks, extreme speculation in narrow structural winners, heavy use of leveraged program trading, and collective optimism. Today’s market structure is even more complex, with options, CTA, and volatility-fund leverage stacked on top of each other. Once the move turns down, the domino effect could be worse than 1987.
63% 0DTE options amplifying volatility, shadow liquidity drying up, and AI growth hitting physical limits—three bombs are all counting down at once. This 16% rally in U.S. stocks is already glitter on the outside and rot on the inside.

Strategy for Ordinary Investors

The U.S. market is not clearly crashing yet, but systemic risk is at a historic high and risk-reward is terrible. No need to panic-sell, but you must drop the lucky mentality and manage risk: plan exit levels in advance, reduce overall exposure, avoid chasing high-beta AI names, and stay away from leveraged options products during volatile periods.
Always remember: beneath a dazzling surface, the most hidden risks often lurk. The current U.S. market looks unbreakable, but in reality it is just a thin sheet of glass. It looks calm—until it hits the critical point and collapses systemically.
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