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Tech bulls lose conviction as key trading metric blows out to the widest since 2008

Derivatives & VolatilityInvestor Sentiment & PositioningTechnology & InnovationMarket Technicals & Flows
Tech bulls lose conviction as key trading metric blows out to the widest since 2008

Nasdaq-100 1-month implied volatility spread vs the S&P 500 is near record highs, with the 25-delta put spread rising from ~3 points in mid-March to 13.6 today (vs 13.3 in 2020). Demand has shifted from upside calls to more expensive puts, signaling increased downside hedging as AI/tech momentum cools. Supporting evidence: SMH fell 4.5% Thursday to below $592, while S&P volatility remains relatively contained due to summer seasonality.

Analysis

This is less a broad risk-off signal than a skew signal: investors are paying up for Nasdaq downside protection faster than S&P protection, which usually hurts the most crowded high-duration names first. The immediate losers are the semis/AI complex and large-cap growth ETFs like SMH and QQQ, because they carry the richest positioning and the most dealer-hedging sensitivity when downside demand rises.

The cleaner beneficiary is NDAQ itself: sustained put demand and higher index/options turnover should support transaction and market-data activity even if spot drifts lower. The second-order effect is that richer put skew can mechanically suppress upside chase in the underlying, because systematic and vol-control accounts reduce exposure when realized volatility stays sticky; that creates a self-reinforcing headwind for momentum tech over the next 2-6 weeks.

The contrarian read is that this may be more exhaustion than a true regime break. If earnings revisions for the AI supply chain stay intact and the index remains range-bound, the current put premium can mean-revert quickly, especially with summer S&P vol already compressed. The key falsifier is a renewed breakout in SMH/QQQ or a sharp drop in 25-delta put skew; if that happens, the current hedge bid was a positioning overhang, not a fundamental warning.

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