The Nasdaq Composite (^IXIC) has now endured two corrections in 2026, with Wednesday’s selloff briefly pushing the index into correction territory before a Thursday recovery.
A correction is defined as a drop of 10% to 20% from recent highs in a major market index, and the Nasdaq has now crossed that threshold twice this year.
On July 29, the Nasdaq closed at 24,442.94, representing a 10.1% decline from its June 1 high of 27,190.21.
That follows a prior correction on March 30, when the index closed at 20,794.64, down 13.4% from its October 29, 2025, high of 24,019.99.
Before those two corrections, the Nasdaq briefly entered crash territory in April 2025, falling to an intraday low of 14,784.03 on April 7 as markets reacted to President Donald Trump’s initial round of tariffs.
Historically, corrections in the S&P 500 (^GSPC) occur about once every one to two years, but the Nasdaq has now experienced three corrections in the last 16 months.
Despite the turbulence, the pattern of higher highs and higher lows across each correction is consistent with a broader bull market structure, where prices rise over the long term.
The S&P 500 and the Dow Jones Industrial Average (^DJI) have been far less volatile, with the S&P 500 closing just 4% off its high on July 29, and the Dow closing down only 3.2% from its all-time high.
The current selloff has been led by semiconductors, which as of June 30 made up 46.4% of the Vanguard Information Technology ETF (VGT), illustrating how concentrated the tech sector has become.
That concentration is proving to be a double-edged sword, as chip stocks that recently hit record highs have swung sharply lower in just two months.
The Nasdaq’s growing dependence on a handful of megacap companies and AI-driven growth narratives means sentiment shifts can trigger rapid index-wide declines even when other sectors remain stable.
The Dow has also been adding more tech exposure, most recently dropping Verizon Communications (VZ) and adding Alphabet (GOOGL) in June, signaling how deeply tech now penetrates even traditionally diversified benchmarks.
By contrast, the S&P Europe 350 tells a very different story, with financials making up 25.1% of the index and tech accounting for just 9.8% of its weighting.
For individual investors, understanding what drives index performance matters more than simply matching or beating a benchmark, since personal financial goals should guide portfolio construction.
Risk-tolerant investors who believe AI adoption is still in its early stages may choose to build portfolios around tech stocks and growth-focused exchange-traded funds, while others may prefer less tech exposure to limit drawdowns during selloffs like the current one.
