Lots More With Charlie McElligott on This Week's SaaSpocalypse

February 6, 2026

33 min episode · 2 min read

Charlie Mcelligott

Episode

33 min

Read time

2 min

AI-Generated Summary

Published Feb 7, 2026

Key Takeaways

✓Leverage Metrics Signal Danger: Goldman Sachs prime brokerage data showed equity hedge fund gross exposure at 100th percentile on five-year lookback as of last Friday, while model risk parity portfolios reached 99.7 percentile gross exposure. These extreme positioning levels across systematic strategies created conditions where profit-taking inevitably cascades into forced deleveraging and risk management selling across crowded trades.
✓Bitcoin Trades Like Software Not Gold: Bitcoin declined alongside SaaS stocks instead of rallying with gold and silver, revealing it functions as a liquidity-driven tech asset rather than debasement hedge. The overlap between venture capital, tech workers, and crypto investors means restricted stock unit holders in declining software companies must sell their liquid Bitcoin positions, creating 16% daily moves in silver as speculative positioning unwinds.
✓Multi-Strategy Funds Suppress Volatility: Multi-strategy hedge funds now capture 80 cents of every new dollar flowing into hedge funds over the past five to ten years, fundamentally changing market behavior. Their market-neutral approach with tight 1.5-2% stop losses and 200-300% gross leverage means they simultaneously cover shorts while selling longs during drawdowns, creating reverse dispersion where 250 stocks rise and 250 fall instead of correlated crashes.
✓AI CapEx Eliminates Buyback Support: Mega-cap tech companies historically provided 20-30% of S&P 500 buyback activity, functioning as synthetic long gamma and volatility suppressors that bid aggressively during drawdowns. Burning cash on AI infrastructure spending eliminates this buyback capacity while forcing new debt issuance, with OpenAI needing 100-200 billion dollars in investment-grade funding within two months creating credit market supply concerns.
✓Leveraged ETFs Amplify Momentum Extremes: 82% of leveraged ETF assets concentrate in AI, mega-cap tech, semiconductors, and crypto, creating synthetic negative gamma that forces buying at highs and selling at lows. Combined with value-over-growth trades reaching three to five standard deviation moves and defensive sectors joining rotations, the market structure now feeds momentum rather than mean reversion, extending trends beyond historical norms.

What It Covers

Charlie McElligott from Nomura explains the February 2025 market crash affecting software stocks, crypto, gold, and silver. He identifies overcrowded positioning in trend trades, excessive leverage across hedge funds reaching 100th percentile on five-year lookbacks, and how the multi-strategy fund dominance fundamentally changed market structure and volatility dynamics.

Key Questions Answered

•Leverage Metrics Signal Danger: Goldman Sachs prime brokerage data showed equity hedge fund gross exposure at 100th percentile on five-year lookback as of last Friday, while model risk parity portfolios reached 99.7 percentile gross exposure. These extreme positioning levels across systematic strategies created conditions where profit-taking inevitably cascades into forced deleveraging and risk management selling across crowded trades.
•Bitcoin Trades Like Software Not Gold: Bitcoin declined alongside SaaS stocks instead of rallying with gold and silver, revealing it functions as a liquidity-driven tech asset rather than debasement hedge. The overlap between venture capital, tech workers, and crypto investors means restricted stock unit holders in declining software companies must sell their liquid Bitcoin positions, creating 16% daily moves in silver as speculative positioning unwinds.
•Multi-Strategy Funds Suppress Volatility: Multi-strategy hedge funds now capture 80 cents of every new dollar flowing into hedge funds over the past five to ten years, fundamentally changing market behavior. Their market-neutral approach with tight 1.5-2% stop losses and 200-300% gross leverage means they simultaneously cover shorts while selling longs during drawdowns, creating reverse dispersion where 250 stocks rise and 250 fall instead of correlated crashes.
•AI CapEx Eliminates Buyback Support: Mega-cap tech companies historically provided 20-30% of S&P 500 buyback activity, functioning as synthetic long gamma and volatility suppressors that bid aggressively during drawdowns. Burning cash on AI infrastructure spending eliminates this buyback capacity while forcing new debt issuance, with OpenAI needing 100-200 billion dollars in investment-grade funding within two months creating credit market supply concerns.
•Leveraged ETFs Amplify Momentum Extremes: 82% of leveraged ETF assets concentrate in AI, mega-cap tech, semiconductors, and crypto, creating synthetic negative gamma that forces buying at highs and selling at lows. Combined with value-over-growth trades reaching three to five standard deviation moves and defensive sectors joining rotations, the market structure now feeds momentum rather than mean reversion, extending trends beyond historical norms.

Notable Moment

McElligott describes a colleague who spent two weeks shorting silver while it experienced some of the most extreme moves traders have seen in their entire careers, asking how he managed to sleep. The combination of crowding, trend-following, options leverage, and leveraged ETFs created 16% single-day swings in a major commodity market.

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