Nasdaq drops into correction territory — here’s what typically happens next

The Nasdaq Composite entered correction territory on Thursday, experiencing a drop of more than 5% and closing over 11% below its recent peak. This downward movement qualifies as a correction, defined by a decline greater than 10%, while a 20% drop signifies a bear market. Historical trends indicate that following previous corrections over the last decade, including those in 2025, 2022, 2020, and 2018, investors typically witnessed further selling in the month post-correction; however, most recoveries began after six months, with the notable exception of 2022.

On average, the Nasdaq gained approximately 9.41% over three months following a correction and 17.03% over six months. The midterm elections triggered this latest correction, as Democrats gained significant control in the House and Senate, particularly affecting data center development policies in Texas. Investors are concerned that newly imposed state-level restrictions could hinder data center construction, adversely impacting firms connected to the artificial intelligence sector.

Market analyst Frank Cappelleri noted that past midterm election cycles since 1974 generally showed the Nasdaq higher after 12 months in nearly all cases, although volatile paths are common. For instance, in 2018, after initial gains post-election, the index saw a sharp decline in December but ultimately finished approximately 15% higher a year later.

Thursday’s downturn notably affected semiconductor stocks, with the iShares Semiconductor ETF (SOXX) dropping 12%, marking its worst day since the onset of the COVID-19 pandemic in March 2020.

Why this story matters

  • The Nasdaq’s performance can significantly impact investor sentiment and market stability.

Key takeaway

  • Historical patterns indicate potential for recovery after corrections, although volatility may persist in the short term.

Opposing viewpoint

  • Some analysts suggest that tighter regulations on data centers may pose long-term risks to tech stocks, diverging from the typical recovery trends.

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