U.S. tech fear index approaches a 20-year extreme! A warning is being triggered by an indicator more alarming than the VIX.

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The US stock market appears calm on the surface, but undercurrents are rising. While Wall Street’s traditional “fear index” VIX is still hovering below its historical average, an index specifically tracking tech stock volatility is quietly approaching its highest levels in twenty years, issuing a more precise warning signal.

According to MarketWatch, the ratio of the Cboe Nasdaq Volatility Index (VXN) to VIX has risen to about 1.64, the highest level since July 2017 and close to the peak range of the past twenty years. Data from Apollo Global Management Chief Economist Torsten Slok shows that after reaching a high on June 16 and falling slightly to around 1.5, the ratio still remains at a historically high level.

The key message behind this signal: market panic is not widespread, but highly concentrated in the technology and AI sectors. Investors are paying heavy hedging premiums for the sharp volatility of the Nasdaq 100 index, even though overall market volatility remains relatively mild. This “structural panic” means that a localized shock in the tech sector, with its massive index weight, is still enough to significantly impact broader benchmark indices.

VIX Distortion: Why the Traditional “Fear Index” Is Not Enough Right Now

For a long time, VIX has been regarded as Wall Street’s most authoritative barometer of market sentiment. Based on S&P 500 options prices, it measures market expectations for stock volatility over the next 30 days; higher values represent stronger expectations of turmoil.

However, Mike Treacy, Head of Market Risk at Apex Fintech Solutions, recently made it clear that VIX can no longer accurately reflect actual market risk in the current environment. “I believe that this historically popular volatility index, VIX, is not the true measure right now,” he said.

The crux is that VIX tracks the implied volatility of the entire S&P 500, whereas recent market shocks have been highly concentrated in the tech sector and haven’t spread broadly. This keeps VIX readings persistently below its long-term average (about 20), providing a relatively “calm” illusion and masking the reality of severe internal swings in tech stocks.

VXN Sounds the Alarm: Tech Volatility Near Twenty-Year Extremes

Unlike VIX, VXN is constructed based on Nasdaq 100 index options, tracking the expected volatility of the largest and most active non-financial tech stocks in the index, and more directly capturing sentiment swings in the tech sector.

What’s most noteworthy now is the VXN/VIX ratio. Torsten Slok’s data shows that this ratio has climbed to about 1.64, the highest since 2017, and close to historically high levels over the past twenty years.

According to Dow Jones market data, this ratio has reached current levels only twice in the past twenty years: once in the mid-2000s, and once during a brief spike in 2017. Notably, today’s value is still considerably below the extreme levels of the dot-com bubble—between 2000 and 2001, the ratio once topped 3.

A ratio above 1.0 means the options market expects Nasdaq 100 volatility to exceed that of the S&P 500. The higher the ratio, the more concentrated and intense market worries are about the tech sector. Mike Treacy describes this phenomenon as "massive volatility beneath the surface," noting, "From a volatility perspective, we are witnessing very rare market behavior."

Concentrated Risk: The Hidden Danger of "Crowded Trades" in Tech Stocks

Behind these volatility signals lies the highly concentrated risk that has built up in the technology and AI sectors during this bull market. Big tech and AI-related stocks, driven by strong expectations for AI infrastructure, semiconductors, and the next wave of computing power demand, have contributed most of this year’s market gains and now dominate major indices.

Mike Treacy points out that in recent years the market has heavily relied on the “Mag 7” (the seven big tech giants), and subsequent AI fervor has spread to second- and third-tier beneficiaries, expanding the tech sector rally. “We are so concentrated in those few stocks, and that’s worrying in itself,” he says, adding that present market structure is relatively healthier.

However, systemic risks from high concentration have not disappeared. Tuesday's market action clearly showed this logic: the semiconductor ETF plunged 7% in a single day, while the S&P 500 only dropped 0.9%, but local turmoil in the tech sector left noticeable traces in the broader market. This means even a "controlled" tech stock correction can, through index weighting effects, cause notable shocks to more extensive investment portfolios.

It should be highlighted that implied volatility measures expectations for future price swings and the cost of hedging, rather than price direction. A rising VXN does not directly predict tech stocks will fall, but it does indicate that market participants are paying higher insurance premiums for potential large moves.

Treacy believes that “dispersion will be the core theme of the market this year.” In his view, as the AI investment logic extends from a few leaders to the broader chain of beneficiaries, differentiation between individual stocks will intensify—this presents both risk and opportunity.

Risk DisclaimerThe market has risks, please invest prudently. This article does not constitute personal investment advice and does not take into account the specific investment objectives, financial situation, or needs of individual users. Users should consider whether any opinions, views, or conclusions in this article are suitable for their particular circumstances. Investing accordingly is at your own risk. ```