Mean Reversion Probability

Mean reversion probability estimates the likelihood that an asset price will return to its historical average after a significant deviation. This concept relies on the assumption that price extremes are unsustainable and will eventually correct.

In options trading, this is often modeled using Ornstein-Uhlenbeck processes. Traders use this metric to identify overbought or oversold conditions in digital assets.

When the probability of reversion is high, traders might sell into strength or buy into weakness. It is a critical component for delta-neutral strategies and volatility arbitrage.

Unlike trend-following, this approach focuses on capturing value during range-bound market conditions. Understanding this probability helps in managing exposure during periods of excessive exuberance or panic.