Hyperliquid Co-founder: ADL will not transfer P&L to HLP, and its treatment of users with HLP is fully symmetrical

By: theblockbeats.news|2025/12/10 10:16:02
0
Share
copy

BlockBeats News, December 10th, Hyperliquid co-founder Jeff published a post refuting the "Automatic Deleveraging Mechanism (ADL) transferring profit and loss to HLP" viewpoint. Jeff stated that the ADL mechanism does not transfer profit and loss to HLP (Hyperliquidity Provider), and its treatment of users and HLP is entirely symmetrical. ADL also will not destroy a $653 million profit.

On November 28th, Hyperliquid had already enabled the Cross-Margin Automatic Deleveraging (ADL) liquidation system on all its major perpetual contract markets to ensure orderly operation of the market during periods of intense market fluctuations, especially when liquidity tightens or large positions are close to liquidation. When the insurance fund cannot fully absorb the losses of the liquidated position, ADL (Automatic Deleveraging Mechanism) serves as a backup liquidation method. In such cases, the positions of highly leveraged traders with high unrealized profit may be partially or completely deleveraged to cover the capital gap. Hyperliquid emphasizes that ADL will only be triggered in special circumstances, and its design purpose is to maintain market integrity by preventing a chain default that could potentially disrupt the entire ecosystem.

You may also like

Stop Talking About Gold, Bitcoin Is Not a Safe Haven Asset

One cannot rely on macro narratives like "Gold Rotation" to determine whether Bitcoin has bottomed. True bottom signals will only appear during position unwinding and extreme pessimistic sentiment.

Aave Founder: What Is the Secret of the DeFi Lending Market?

When on-chain lending becomes significantly cheaper to operate end-to-end compared to traditional lending, mass adoption becomes not a question of if, but of when.

The Trader's Playbook: 7 Market Cycle Lessons From LALIGA’s 90 Minutes

What do LALIGA matches teach about crypto markets? Learn how consolidation, breakouts, and late-cycle volatility shape disciplined trading decisions.

How Smart Money Tracker Survived Live AI Trading at WEEX AI Hackathon

Discover how WEEX AI Trading Hackathon tested strategies with real capital—no simulations. See how Smart Money Tracker survived flash crashes and leveraged 18x in live markets.

80% Win Rate to 40% Drawdown: An AI Trader's Brutal Recalibration at WEEX AI Wars

Dive into the technical blueprint of an AI trading system built on LLaMA reasoning and multi-agent execution. See how Quantum Quaser uses confidence thresholds & volatility filters at WEEX AI Wars, and learn the key to unlocking 95% win rate trades.

AI Trading Strategy Explained: How a Beginner Tiana Reached the WEEX AI Trading Hackathon Finals

Can AI trading really outperform human emotion? In this exclusive WEEX Hackathon finalist interview, discover how behavioral signal strategies, SOL trend setups, and disciplined AI execution secured a spot in the finals.

Popular coins

Latest Crypto News

Read more