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Mean Reversion Trading Strategies

Mean reversion is a trading strategy based on the assumption that asset prices tend to revert to their mean or average over time. It is used by traders and investors alike, who seek to capitalize on the inherent fluctuations in prices.


This article will provide a basic guide to understanding mean reversion, its key principles, and how to develop a trading strategy around it that you can build from if it suits your objectives and style.

Understanding Mean Reversion

Mean reversion is grounded in the belief that financial markets are inherently cyclical, with periods of overvaluation and undervaluation. The concept is rooted in the law of averages, which states that over time, extreme outcomes will balance out, resulting in an overall average value.

In the context of trading, mean reversion suggests that when asset prices deviate significantly from their long-term mean, they are likely to revert back, providing traders with potential opportunities to profit. This reversion can be attributed to various factors, such as market sentiment, economic indicators, or fundamental changes in the underlying asset.


Key Principles of Mean Reversion Trading

  1. Identifying Overbought and Oversold Conditions: Traders must be able to recognize when an asset is overbought (trading at a price significantly higher than its historical average) or oversold (trading at a price considerably lower than its historical average). Technical indicators, such as the Relative Strength Index (RSI) and Bollinger Bands, can be useful in identifying these conditions.

  2. Determining the Mean: The long-term mean, or average price, of an asset serves as the reference point for mean reversion trading. This can be calculated using various methods, such as simple moving averages (SMAs) or exponential moving averages (EMAs). The choice of time frame for calculating the mean is essential, as it impacts the sensitivity of the strategy to price fluctuations.

  3. Timing Entries and Exits: Proper timing is crucial in mean reversion trading. Traders must be patient and wait for clear signals that a price reversal is imminent before entering a position. Similarly, they should establish predetermined exit points based on their risk tolerance and profit objectives.

Developing a Mean Reversion Trading Strategy

  1. Choosing the Right Assets: Not all assets are suitable for mean reversion trading. Assets with a history of strong trends or low liquidity may not exhibit the necessary cyclical behavior. It is essential to research and analyze various assets to identify those that are most conducive to mean reversion.

  2. Utilizing Technical Indicators: Technical indicators play a vital role in mean reversion trading, as they help identify overbought and oversold conditions, as well as potential entry and exit points. Some popular indicators include RSI, Bollinger Bands, Moving Averages, and the Moving Average Convergence Divergence (MACD).

  3. Risk Management: Like any trading strategy, mean reversion involves risk. To mitigate potential losses, traders should employ strict risk management techniques, such as setting stop-loss orders, using appropriate position sizing, and diversifying their portfolio across multiple assets.

  4. Backtesting and Optimization: Before implementing a mean reversion strategy, it is crucial to backtest it using historical data to evaluate its performance and optimize its parameters. This can help traders fine-tune their strategy and increase its overall effectiveness.

Closing Thoughts


Mean reversion trading offers a systematic approach to capitalizing on the cyclical nature of financial markets. By understanding its key principles and developing a well-crafted strategy, traders can exploit price deviations and generate consistent profits. However, like any trading strategy, mean reversion is not without risk, and it is essential to implement strict risk management techniques to protect one's capital.

2 Kommentare


Andy Featherston
Andy Featherston
04. Apr. 2023

I’m extremely interested in this strategy especially after the second interview w/ Jason Perz , which I loved. I’m still coming to understand asset personalities across classes and am not quite ready yet - but excited to learn more and begin using a tool like TrendSpider to backtest trends. Thanks for this follow up, Mayhem.


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Markets & Mayhem
Markets & Mayhem
04. Apr. 2023
Antwort an

You're welcome, my friend! I appreciate you.

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