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Hedge funds suffer worst day since August as AI stock selloff deepens

Reported by Tradingview ·Cryptobriefing
Oct 16, 2026· 3 min read
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Key Takeaways
  • • Goldman Sachs data shows October 15, 2026 was the third day this year on which all broad hedge fund strategies fell by more than 80 basis points in a single session, with global stock pickers down 0.9% and Asia-focused managers down 2.6%.
  • • Quant strategies posted their weakest performance since August 2026, with systematic long-short and multi-strategy funds each sliding roughly 1% on October 15.
  • • Hedge funds were net sellers of global AI equities between October 8 and October 14, unwinding purchases accumulated since 2025 after unexpectedly hot US inflation data raised the prospect of higher-for-longer borrowing costs.
  • • Asia-focused stock pickers lost 6.8% in the first half of October, erasing more than half of their gains since late June 2026, while South Korea's KOSPI plunged 8% and Taiwan recorded a record $9.3 billion foreign outflow.
  • • Hedge fund net leverage fell to historically low levels across strategies, suggesting much forced selling may already be complete, though rising volatility could prompt quants to cut positions further.
Summary
Hedge funds recorded a sharp drawdown during the first half of October 2026, with Goldman Sachs data showing that October 15 was the third day this year on which all broad hedge fund strategies fell by more than 80 basis points in a single session. Quant strategies, which trade on mathematical models rather than discretionary judgment, posted their weakest performance since August 2026. Global stock pickers lost 0.9% on October 15, while Asia-focused managers fell 2.6% and tech-focused funds dropped 2.0%. Systematic long-short and multi-strategy funds each slid roughly 1%. Over the full week, global long-short funds were down 2.9%.

The selloff was concentrated in AI-linked equities. Between October 8 and October 14, hedge funds were net sellers of global AI stocks, reversing net purchases accumulated since 2025. The catalyst was unexpected US inflation data, which raised the prospect that borrowing costs would stay high, a particular concern for AI infrastructure that requires large amounts of capital. Public markets reflected the pressure on October 14, when the Nasdaq Composite fell 1.9% and the S&P 500 dropped 1.1%. CoreWeave, the AI cloud computing provider, sank 15.5% and Oracle fell 8.8%.

Asian markets were hit hardest, particularly semiconductor-heavy sectors. South Korea's KOSPI plunged 8%, and Taiwan, home to a large share of global chip manufacturing, recorded a record foreign outflow of $9.3 billion. Asia-focused stock pickers posted a 6.8% loss in the first half of October, wiping out more than half of the gains they had built since late June 2026. Net selling of global equities measured -2.1 standard deviations relative to the one-year average, and hedge fund net leverage fell to historically low levels across strategies.

Analysts describe the episode as a classic crowded-trade unwind: when many funds hold similar AI positions, losses in one portfolio can force selling that depresses prices and triggers losses elsewhere. Because hedge fund exposure is now at historically low levels, a significant share of forced selling may already have occurred. However, quant funds often reduce positions further as volatility rises, which could sustain turbulence. Asia remains the key pressure point to watch, given the sensitivity of chip-heavy markets to shifts in the AI narrative.

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Sources

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