Reflections after a significant decline in U.S. stock assets: Is AI really the culprit behind this major crash?

The wave after wave of sharp declines approaching the Spring Festival first saw the collapse of gold and silver from high levels, followed by a flood-like, unsupported drop in crypto, breaking through all key support levels. Finally, US stocks, Hong Kong stocks, and A-shares all plummeted one after another. Losses occurred during the day and at night, on the left and on the right. Asset allocation was spread across different vehicles, but all vehicles crashed.

Fortunately, I had mostly cleared out my crypto assets before, but I couldn’t avoid the sharp drop in the stock market. Some stocks, such as Figma and XPeng Motors, saw their holdings fall by more than 70% (not 70% of all assets, forgive me for using clickbait).

There are several main interpretations in the market:
· Some say that Anthropic’s legal AI is too powerful, and in the future, there will be no need to use professional software; large models will be enough, so software stocks are collapsing.
· Some say that although Google’s financial report performance is good, its capital expenditure guidance is too high, 50% higher than market expectations.
· Some say that because the incoming Federal Reserve Chairman Warsh is hawkish, he will maintain a strong dollar, not easily cut interest rates, and may even reduce the balance sheet.

I think all of the above is Bullshit.

Analysts often find seemingly reasonable reasons for the decline after the market falls, but these reasons are often noise, burying the market’s true core theme and operating logic.

No matter how powerful Anthropic’s legal AI is, how much revenue has it sold? Is the revenue expected to exceed SAP’s? Are SAP and other software vendors just waiting to be subverted without doing anything?

If Google’s capital expenditure is high, you say you are worried about cash flow; if capital expenditure is low, you will definitely worry about insufficient expenditure, and the upstream and downstream of the AI industry chain lack funds, and Google AI will lag behind.

Warsh is even more ridiculous. He hasn’t even taken office yet, and you’re already fantasizing about what will happen after he takes office. You can fantasize even more than retail investors. Even if Warsh takes office, it will be difficult to completely overturn the Fed’s previous policy stance. After all, the terrible employment data is there, and it is difficult to be hawkish.

I believe that this wave of decline is a sharp market fluctuation caused by tight liquidity + high valuations: just like Alex climbing Taipei 101, the higher he climbs, the greater the impact of the wind. On the ground, you feel a gentle breeze, but at a height of 100 meters, the wind is stronger and my heart is more turbulent.

What is the current valuation level of US stocks?

There is a Buffett indicator, which represents the ratio of the total market value of the stock market to the domestic production value GDP. Buffett believes that the ratio of 75%-90% is reasonable, and if it exceeds 120% or higher, it is seriously overvalued, like “playing with fire.” You should know that the current indicator is 230%.

Of course, we all know that high valuations do not necessarily mean a collapse. The Buffett indicator may not actually be so exaggerated due to the lag in GDP data statistics.

But stocks are definitely not in the undervalued range, which will definitely amplify market volatility, because institutions with abundant profits may take profits at any time.

The S&P 500 Forward P/E ratio is 22.0x, relative to the 30-year average: 17.1x; 22.0x is approximately (22.0-17.1)/(20.4-17.1) ≈ +1.5 standard deviations. That is to say, the valuation is in the “significantly expensive” range, already higher than the “+1σ line” (20.4x). It is close to the 2000 Internet bubble stage’s P/E ratio of 25.2x.

At the same time, the tightening of funds is like the wind in the sky, roaring towards the market:

  1. First, the first axe to tighten liquidity comes from Japanese bonds.

Every jump in Japanese government bond yields is extracting liquidity from the global market.

Because Japan is the world’s largest creditor nation, the long-term zero-interest-rate policy has spawned a huge “Yen Carry Trade”. Global investors borrow low-cost yen and invest in high-yield overseas assets (such as US stocks).

Once Japanese bond yields rise rapidly, the interest rate spread narrows, and the attractiveness of arbitrage transactions declines or even suffers losses, it will trigger a large-scale liquidation: investors need to sell overseas assets and exchange them back into yen to repay loans. This process will trigger a global “deleveraging” and asset sell-off.

It can be seen that in early February, the spread between the middle and short ends, that is, the US dollar 2-year interest rate minus the Japanese yen 2-year interest rate, has a significant drop; that is, to a large extent, the arbitrage carry trade will continue to reduce leverage and consolidate funds.

  1. TGA account and Treasury bond issuance: drawing firewood from under the pot

The United States Treasury General Account (TGA) is a key variable affecting market liquidity. When the Treasury Department increases the TGA balance through bond issuance or taxation, it is equivalent to withdrawing funds from the financial system, leading to a decline in bank reserves, thereby tightening liquidity. Conversely, when the Treasury Department spends (reducing the TGA balance), it injects liquidity into the market.

In early February 2026, the market is facing the dual pressure of TGA reconstruction and large-scale Treasury bond issuance:

High TGA balance: As of early February, the TGA balance remained at a high level of approximately $893.20B. The U.S. Treasury Department plans to maintain the balance at $850.00B by the end of March and reach a peak of approximately $1.025T during the tax season at the end of April. This means that the Treasury Department will continue to withdraw funds from the market.

Large-scale Treasury bond issuance: To supplement the TGA and finance the fiscal deficit, the Treasury Department announced a large-scale quarterly refinancing plan in early February, further exacerbating the market’s tight funding situation.

This “drawing firewood from under the pot” operation directly led to a decline in bank reserves, forcing financial institutions to shrink credit and sell assets to obtain liquidity, thereby triggering a chain reaction in the market.

  1. CME increases margin: historical “deleveraging”

When extreme fluctuations occur in the precious metals market, the Chicago Mercantile Exchange (CME) forces the market to deleverage by increasing the margin requirements for futures contracts. This move has historically played the role of a bull market terminator many times.

The precious metals crash in early February 2026 is highly correlated with CME’s continuous intervention. After silver prices hit a record high, CME raised the margin for gold and silver futures six times in a row, with the initial margin for silver being raised from 11% all the way to 18%. For bulls who have already been hit hard, this is tantamount to “rubbing salt in the wound”, directly triggering a stampede of liquidations.

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The following are several famous historical increases in margin and their subsequent impact:

The problem of liquidity needs to be solved by focusing on liquidity.

In addition to studying the fundamentals of US stock companies and the macro Fed meeting statements, I think the following liquidity indicators must be given key attention:

1) Settlement layer funds (water level)
Net liquidity = Fed total assets – TGA – ON RRP (Overnight Reverse Repurchase)
It is a directional indicator of “available cash in the market”. A decline in net liquidity generally means that the funding environment is tightening.

2) Short-end funding price (how expensive is money)
SOFR (Secured Overnight Financing Rate)
An abnormal rise in SOFR indicates that short-end funds are becoming more expensive, and the market is more prone to fluctuations.

3) Interest rate volatility (can market makers and leverage withstand it)
MOVE (Merrill Lynch Option Volatility Estimate)
An upward MOVE means that interest rate volatility is increasing, intermediaries are reducing their balance sheets, leverage is decreasing, and risk assets are more likely to fall passively.

4) Global deleveraging chain (one of the most common reasons for “sudden tightening”)
USDJPY (whether there is a rapid appreciation of the Japanese yen)
US2Y – JP2Y spread (whether the carry trade base is narrowing)
Yen appreciation combined with a narrowing spread is more like the start of carry trade deleveraging.

5) Credit confirmation (whether the tension has spread to the financing end)
HY OAS (High Yield Option-Adjusted Spread)
A widening HY OAS indicates that the financing environment is deteriorating, and the decline in risk assets is more likely to spread.

RichSilo Exclusive Analysis:

Liquidity Crisis: The Real Culprit Behind Market Carnage, Not AI Hype

The recent market bloodbath across global asset classes wasn’t caused by AI disruption or Fed hawkishness as some pundits claim. Rather, this correction stems from a toxic combination of extreme valuations and a sudden liquidity crunch that caught over-leveraged positions off guard. For crypto investors, this episode serves as a stark reminder that even the most innovative projects cannot escape the gravitational pull of broader market liquidity conditions.

The Myth of AI as Market Crash Catalyst

Let’s dispel the narrative that Anthropic’s legal AI somehow precipitated this market collapse. While technological disruption is a valid long-term concern, we’re witnessing classic post-hoc rationalization. The idea that established software giants like SAP would passively await disruption without defensive maneuvers is fundamentally flawed. Moreover, Anthropic’s current revenue pales in comparison to enterprise software incumbents—hardly enough to justify a systemic market correction.

Similarly, Google’s elevated capex guidance, while noteworthy, doesn’t explain the synchronized sell-off across uncorrelated asset classes. Markets punish uncertainty, but Google’s spending plans represent a strategic commitment to AI leadership, not a financial emergency. As for incoming Fed Chair Warsh, the market’s obsession with his potential hawkish stance ignores the inconvenient truth of persistently weak employment data and the institutional inertia of monetary policy.

Valuations: The Ticking Time Bomb

The true vulnerability in our current market setup lies in stretched valuations. The Buffett Indicator currently stands at an eye-watering 230%, more than double Warren Buffett’s “reasonable” range of 75%-90%. While GDP data lags and the metric may not be perfectly calibrated, this level of market capitalization relative to economic output should give investors pause.

More telling is the S&P 500 Forward P/E ratio of 22.0x, sitting 1.5 standard deviations above its 30-year average of 17.1x. This places us firmly in “significantly expensive” territory, approaching the 25.2x P/E ratio observed during the 2000 Internet bubble. Such elevated multiples create inherent vulnerability, as even modest negative news can trigger outselling from profit-taking institutions.

The Liquidity Squeeze: The Real Market Killer

What truly catalyzed this decline was a sudden and severe liquidity crunch. Three primary factors converged to create this perfect storm:

1. The End of Yen Carry Trade: As Japanese bond yields rise, the arbitrage trade that has fueled global risk appetite for years is unwinding. This carry trade—borrowing in low-yen yen to invest in higher-yielding assets like US stocks—has created an implicit liquidity backstop. When the spread between US and Japanese 2-year rates narrows, as it has recently, this liquidity source dries up, forcing global deleveraging.

2. Treasury Drain: The US Treasury General Account (TGA) sits at $893.20B, with plans to rebuild this buffer to over $1T by April. To finance this, the Treasury is issuing bonds at scale, effectively “drawing firewood from under the pot” by removing liquidity from the financial system. This drain on bank reserves forces institutions to shrink balance sheets and sell assets to maintain liquidity.

3. Margin Compression: The CME’s six consecutive margin hikes on precious metals futures—from 11% to 18% for silver—acted as a classic market circuit breaker. These increases forced leveraged longs to liquidate positions, triggering a cascade of selling that spilled over into other asset classes.

Crypto Market Implications

For crypto investors, this liquidity event highlights several critical lessons:

Risk Factors:
– The recent crypto breakdown demonstrated clear correlation with traditional markets during liquidity stress, challenging the narrative of crypto as a true safe-haven asset
– DeFi protocols reliant on short-term funding mechanisms face significant rollover risk as liquidity tightens
– Leverage-heavy trading platforms and derivatives markets will be the first casualties in continued liquidity crunches

Opportunities:
– Quality projects with strong fundamentals and sustainable tokenomics will emerge from this correction with reduced speculative interest
– Protocols providing real yield and utility in constrained liquidity environments may outperform
– Bitcoin’s relative stability during recent market stress reinforces its position as the crypto market’s liquidity anchor
– The current environment creates buying opportunities for fundamentally sound projects that have been oversold

Key Liquidity Indicators for Crypto Investors

Moving forward, sophisticated crypto investors should monitor these traditional liquidity indicators alongside on-chain metrics:

  1. Net Liquidity (Fed assets – TGA – ON RRP): A directional indicator of “available cash in the market.” A sustained decline would signal ongoing liquidity stress that would inevitably impact crypto markets.

  2. SOFR (Secured Overnight Financing Rate): An abnormal rise indicates short-term funding is becoming more expensive, which would pressure crypto yield products and leverage markets.

  3. MOVE Index (Interest Rate Volatility): Increasing volatility forces intermediaries to reduce balance sheets, reducing risk appetite across all asset classes including crypto.

  4. USDJPY and US2Y-JP2Y Spread: These metrics signal potential global deleveraging. A strengthening yen narrowing the spread would likely lead to crypto sell-offs as carry traders unwind positions.

  5. HY OAS (High Yield Option-Adjusted Spread): Widening spreads indicate deteriorating credit conditions that typically lead to reduced risk-taking behavior, negatively impacting crypto markets.

The Path Forward

This correction wasn’t about AI or Fed policy—it was about market mechanics and liquidity. While valuations remain elevated, the worst of the immediate liquidity shock may be behind us. However, the fundamental constraints on liquidity—TGA rebuilding, potential Japanese policy shifts, and global deleveraging—will persist.

For crypto investors, the lesson is clear: the market’s correlation with traditional finance liquidity conditions has strengthened, making it imperative to monitor these macro indicators alongside on-chain metrics. Quality projects with real utility and sustainable tokenomics will weather this storm better than speculative assets reliant on perpetual liquidity growth.

In the words of the author, “the problem of liquidity needs to be solved by focusing on liquidity.” Those who master this cross-market analysis will be better positioned to navigate the increasingly complex intersection of traditional finance and crypto markets.

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