# Mean reversion trading strategies

A mean reversion trading strategy is based on the idea that asset prices tend to revert to their historical average or mean over time. The concept is rooted in the belief that, after experiencing a significant price movement, an asset is likely to move back towards its average or equilibrium level. Traders employing mean reversion strategies aim to capitalise on these price fluctuations by taking positions that anticipate a return to the mean.

Key characteristics of mean reversion trading strategies include:

1. Identification of Overbought or Oversold Conditions: Traders using mean reversion strategies often look for instances where an asset's price has moved significantly away from its historical average. These extreme movements may be considered overbought or oversold conditions.
2. Statistical Measures: Mean reversion strategies often involve the use of statistical measures, such as standard deviations, to quantify how far an asset's price has deviated from its historical mean.
3. Entry and Exit Points: Traders typically enter positions when an asset is perceived to be significantly deviated from its mean, anticipating a reversion to the average. Conversely, they may exit or reverse positions as the price approaches or reaches the mean.
4. Time Horizon: Mean reversion strategies can operate on different time scales. Some traders focus on short-term fluctuations, while others may look at longer-term trends. The choice of time horizon depends on the specific strategy and the trader's preferences.
5. Risk Management: Given that mean reversion strategies rely on the assumption that prices will revert to their mean, risk management is crucial. Traders may use stop-loss orders or other risk mitigation techniques to limit potential losses if the price continues to move against their expectations.

Examples of mean reversion indicators include the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Bollinger Bands.

It's important to note that while mean reversion strategies can be profitable in certain market conditions, they also come with risks. Markets can remain in overbought or oversold conditions for extended periods, and there is no guarantee that prices will revert to the mean within a specific timeframe therefore traders using mean reversion strategies should carefully analyse market conditions and use appropriate risk management techniques to enhance the effectiveness of their approach
