Charlie McElligott, Cross Asset Macro Strategist at Nomura, joins the Odd Lots podcast during a brutal market selloff on February 6th, 2026. The conversation takes place at 7:04 AM as markets are experiencing significant stress across multiple asset classes including software stocks, crypto, gold, silver, and concerns about private credit exposure.

The discussion covers the proximate catalysts behind the market turmoil, including crowded positioning in secular growth trades, excessive leverage across strategies, and the interconnected nature of software, crypto, and metals selling. McElligott explains how consensus trades around weak dollar policies, AI infrastructure spending, and debasement narratives created vulnerable positioning that unwound violently when narratives shifted.

Extreme Positioning Data Signals Market Vulnerability

Goldman Sachs Prime brokerage data showed equity hedge fund gross exposures at the 100th percentile on a five-year lookback as of last Friday, while risk parity portfolios hit 99.7 percentile gross exposure.

CTA trend net exposures in commodities and metals reached the 98th percentile while net short dollar exposure hit zero percentile, creating dangerous crowding in consensus trades.

Multi-strategy funds now capture '80+ cents of every dollar' flowing into hedge funds, fundamentally altering market structure compared to traditional long-short strategies.

Bitcoin Trades Like Software, Not Digital Gold

Bitcoin is 'trading tick for tick' with SaaS software stocks rather than participating in the gold and silver rally, undermining the debasement narrative.

The overlap between 'VC boys and tech boys and SaaS bros and Bitcoin bros' creates concentrated selling pressure as software employees face restricted stock units and job uncertainty.

McElligott describes this as 'not really about debasement - this is a digital phenomenon, a liquidity crunch' affecting the tech sector specifically.

AI Infrastructure Spending Creates Credit Market Strain

Hyperscaler companies are 'burning through cash so fast' on AI infrastructure that they're reducing buybacks and taking on new debt, removing a key market support mechanism.

Mag Seven companies represent '20-30% of overall S&P 500 buybacks,' acting as 'synthetic long gamma' that provides crucial downside protection during market stress.

Oracle successfully raised $25 billion in investment grade debt with $129 billion in demand, but OpenAI still needs to raise '$100-200 billion' in the coming months.

Private credit firms have significant exposure to software companies at 'really tricky valuations' with loans made 'at the top of the valuation cycle.'

Market Structure Changes Amplify Volatility

Multi-strategy funds use 'disciplined tight stops' and typically run '200-300% gross' exposure, creating forced selling when tilts go wrong.

Leverage ETFs now represent '82% of assets' and act like 'synthetic negative gamma' - forcing more buying on the way up and more selling on the way down.

Modern VAR models make 'anybody who's on a VAR model actually a momentum trader' because lower volatility requires higher leverage to maintain target exposures.

Silver moves were described as 'one of the craziest moves' due to 'crowding plus trend plus optionality plus leverage ETFs' creating extreme volatility.