Algorithmic Rebalancing

Algorithmic rebalancing involves the use of automated smart contracts to adjust the supply or collateralization of a protocol to maintain a price target. Instead of relying on physical reserves, these systems use mathematical rules to expand or contract the supply of tokens based on demand.

For example, if the price of a token rises above the peg, the protocol may issue more supply to reduce the price. Conversely, if the price drops, the protocol may buy back and burn tokens to reduce supply.

This approach is often seen in algorithmic stablecoins where capital efficiency is prioritized over traditional backing. The complexity of these models requires rigorous testing to prevent runaway feedback loops during market crashes.