Risk Ranking System

A risk ranking system is an algorithmic framework used to determine the order in which positions are closed during an auto-deleveraging event. It typically assigns a score to each position based on factors such as profitability and the amount of leverage employed.

Positions that are highly profitable and have high leverage are generally ranked higher, meaning they are more likely to be closed first to neutralize the protocol's risk. This system is designed to be transparent and predictable, allowing traders to understand their potential exposure to auto-deleveraging.

By prioritizing positions in this way, the protocol aims to minimize the overall disruption to the market while restoring solvency. It is a sophisticated tool for managing systemic risk in decentralized derivative environments.

The effectiveness of the ranking system depends on the quality of the data and the fairness of the scoring algorithm. It represents a key component of the game theory applied to derivative protocol design.

Traders must consider their ranking score when managing their portfolio exposure.