Definition

ADL or Auto-Deleveraging

Meaning ⎊ A last-resort mechanism that closes profitable positions to cover losses from bankrupt traders when the insurance fund fails.
Greeks.liveMarch 17, 2026

ADL or Auto-Deleveraging

Auto-deleveraging (ADL) is a risk management mechanism used by exchanges when the insurance fund is insufficient to cover the losses of liquidated positions. In this scenario, the exchange automatically closes the positions of the most profitable traders against the bankrupt positions to balance the books.

This is a last-resort measure because it forces successful traders to exit their positions involuntarily, potentially causing them to lose out on future gains. ADL is designed to maintain the overall solvency of the exchange and protect the system from collapse.

While unpopular among traders, it provides a transparent and algorithmic way to resolve bankruptcy risk, ensuring that the platform can continue operating even during catastrophic market failures where counterparty risk becomes extreme.

Put-Call Parity Deviation
Role Initialization Vulnerabilities
Leverage Deleveraging Loops
Greek Variables
Forced Liquidation Engine
Cross-Venue Arbitrage
Systemic Deleveraging Cycles
ADL Auto Deleveraging

Glossary

Derivatives Exchange Protocols

Architecture ⎊ Derivatives exchange protocols define the underlying architecture and operational rules governing the trading of futures, options, and perpetual swaps on cryptocurrency assets.

Quantitative Risk Analysis

Analysis ⎊ Quantitative Risk Analysis, within the context of cryptocurrency, options trading, and financial derivatives, represents a structured process for identifying, assessing, and mitigating potential losses.

Algorithmic Trading Safeguards

Action ⎊ Algorithmic trading safeguards encompass proactive measures designed to mitigate risks inherent in automated trading systems across cryptocurrency, options, and derivatives markets.

Volatility Correlation Studies

Analysis ⎊ Volatility correlation studies, within cryptocurrency and derivatives markets, examine the interrelationships between the volatility of different assets or instruments.

Risk Disclosure Requirements

Disclosure ⎊ Risk disclosure requirements, particularly within cryptocurrency, options trading, and financial derivatives, represent a multifaceted legal and regulatory framework designed to ensure market participants possess sufficient information to assess potential risks.

Slippage Control Measures

Control ⎊ Slippage control measures, within cryptocurrency, options, and derivatives, represent proactive strategies designed to mitigate the difference between expected and realized execution prices.

Risk Exposure Quantification

Analysis ⎊ Risk Exposure Quantification, within cryptocurrency, options, and derivatives, represents a systematic assessment of potential losses across a portfolio or trading position.

Catastrophic Market Failures

Failure ⎊ Catastrophic market failures in cryptocurrency, options, and derivatives contexts represent systemic breakdowns where price discovery ceases to function effectively, leading to substantial losses and potential contagion.

Compliance Audits

Audit ⎊ Compliance audits within cryptocurrency, options trading, and financial derivatives represent systematic examinations of processes against established regulatory frameworks and internal policies.

Market Efficiency Metrics

Analysis ⎊ ⎊ Market efficiency metrics, within cryptocurrency, options, and derivatives, quantify the extent to which asset prices reflect all available information.