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How FTX's secret liquidation exemption turned customer funds into Alameda's margin cushion

by @patrickboyle

Finance Finance★★★★☆ principles

ABOUT THIS BRAIN

Patrick Boyle dissects Sam Bankman-Fried's post-collapse interview with Tiffany Fong and the first-day bankruptcy declaration to explain how an auto-liquidation loophole embedded customer losses into FTX's architecture from day one.

TECHNIQUES

arbitrage tradingfront runningleveraged margin tradingauto liquidation exemptionrisk correlation modeling

KEY PRINCIPLES (10)

Risk Architecture

Exempting the largest trader from automatic liquidation hard-codes systemic insolvency into an exchange.

Alameda had a secret exemption from FTX.com's auto-liquidation protocol, allowing it to keep losing money without being knocked out of trades, effectively letting it gamble with customer funds.

Why: Exchanges normally liquidate leveraged positions to protect themselves from customer losses; removing this safeguard for the biggest player concentrates risk and guarantees shortfalls when losses exceed deposited collateral.

"Alameda had a secret exemption from certain aspects of FTX.com's auto-liquidation protocol"

Governance

Lack of independent governance between exchange and proprietary trading desk enables misuse of customer assets.

FTX and Alameda shared offices, platforms, and leadership, with no Chinese walls or independent oversight, allowing Alameda to see FTX order flow while FTX staff had no visibility into Alameda's positions.

Why: Without segregation, the prop desk can treat customer deposits as its own margin buffer, violating fiduciary duty and creating moral hazard.

"the absence of independent governance between Alameda and ftx.com"

Capital Structure

Using an exchange's own token as primary collateral inflates apparent capital and masks insolvency risk.

Alameda was mostly capitalized with FTX's native FTT token; when the token price collapsed, the collateral backing its leveraged positions evaporated, leaving customer funds as the only remaining buffer.

Why: Self-referential collateral creates a feedback loop: token price drops → collateral value drops → forced selling → token price drops further, accelerating insolvency.

"Alameda were using the casino's own chips or FTT tokens, they hadn't deposited enough money for the chips that they were playing with"

Risk Modeling

Assuming low correlation between crypto assets during a crisis underestimates tail risk.

Sam attributes losses to a 'hyper-correlated crash scenario' where uncorrelated positions became correlated, causing a 50% decline in two days and triggering simultaneous margin calls and a bank run.

Why: In systemic events, previously independent risk factors converge; models that ignore tail correlation systematically understate potential losses.

"uncorrelated positions became correlated, which is something that happens in every market panic"

Ethics & Disclosure

Auto-deleting messages signal awareness of potentially criminal conduct.

Sam communicated via apps set to auto-delete and encouraged employees to do the same, suggesting intent to obscure evidence of wrongdoing.

Why: Legitimate businesses preserve records for compliance; systematic deletion undermines audit trails and indicates consciousness of guilt.

"Sam communicated using messaging apps that were set to auto-delete after a short period of time, and encouraged employees to do the same"

Trading Strategy

Front-running exchange listings with insider information is low-risk but high-liability.

Alameda allegedly used advance knowledge of which coins FTX would list to trade ahead of customer orders, profiting from the price impact of the listing announcement.

Why: While the strategy may generate consistent profits, it constitutes securities fraud and exposes the firm to regulatory and legal jeopardy.

"Alameda employees used insider knowledge of which coins would be listed on FTX to front run their customers"

Leverage Management

Leveraging low-risk strategies can transform them into high-risk blow-ups.

Arbitrage and front-running strategies were levered up until a single market move could wipe out multiples of actual capital, turning small edge trades into systemic risks.

Why: Leverage amplifies both returns and losses; when applied to strategies with small margins, it creates non-linear payoff profiles that can exceed total capital.

"One of the things that often happens with apparently low risk trading strategies is that people leverage them such that they become extremely high risk"

Decision Theory

Maximizing expected value without risk aversion leads to eventual ruin.

Sam has stated he makes decisions by maximizing expected wealth without regard to utility or downside risk, a philosophy that virtually guarantees bankruptcy in volatile markets.

Why: Ignoring risk aversion removes the behavioral guardrails that prevent catastrophic loss; repeated exposure to low-probability tail events ensures eventual failure.

"he approaches financial decisions with little or no risk aversion... makes his decisions based on maximizing the expected value of his wealth directly"

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