Mean reversion is a principle in financial markets that suggests that prices and returns eventually move back toward the mean or average level of the entire dataset. This concept is based on the observation that high and low prices are temporary and that a security's price will tend to return to its historical average over time.
For instance, if a stock has historically traded at an average price of $50 but rises to $70, mean reversion theory implies that the price is likely to decrease back towards $50. This can be utilized by traders who adopt strategies based on overbought or oversold conditions in the market.
Many trading strategies incorporate mean reversion by identifying extremes in price movements, often using statistical measurements like standard deviations. Related concepts include the notion of equilibrium in economic theory, as well as technical indicators such as Bollinger Bands that help in identifying potential reversal points. However, while mean reversion applies to many markets, it's important to recognize that not all price movements will revert to the mean, particularly during strong trends or shifts in fundamental factors.