Mean Reversion Decay

Mean reversion decay refers to the gradual loss of effectiveness of a mean-reversion strategy as the underlying market structure changes. Over time, the speed at which prices revert to their mean may slow down, or the mean itself may shift due to fundamental changes in the asset.

In crypto, this decay can be rapid due to the high frequency of protocol updates and changing market sentiment. If a trader continues to use the same parameters for their mean-reversion strategy without accounting for this decay, they will eventually experience significant losses.

This requires constant recalibration of the model to match the current market environment. The decay is often a result of market participants learning to exploit the same reversion, eventually reducing the profit potential.

Managing this decay is a critical part of the strategy lifecycle. It forces traders to stay agile and constantly update their models to remain profitable.

Understanding the factors that cause this decay is essential for long-term survival in the market.

Z-Score
Correlation Decay
Time Series Stationarity
Model Recalibration
Liquidity Depth Correlation
Leverage Sensitivity
Bayesian Inference
Order Book Decay