Mean Reversion in Trading: Explanation and Practical Uses

Readings above 80 suggest that the asset might start declining toward the mean, while readings below 20 indicate a potential upward mean reversion. Bollinger Bands can be used in various ways to identify trading opportunities. Traders often use the distance between the outer bands to measure volatility and look for potential trade entry points.

Price Deviation and Historical Mean

This indicator is based on the concept of moving average and standard deviation. The middle line is the moving average and the two outer ones are its standard deviations. However, it depends on your skill as a trader to identify overbought and oversold conditions. The best part about it is that the strategies work on anything. You can try using any of the strategies from stocks to commodities to forex. You can profit from short-term price movements, which allows traders to capitalize on overextended price levels.

Mean Reversion Trading Strategies – Backtest With Mean Reverting Indicators

The effectiveness of a mean reversion strategy can vary based on the time horizon. Short-term traders may use intraday data, while long-term investors may use yearly data. A good strategy really depends on the goals the trader seeks to achieve, their risk appetite and the market they are looking to trade. The mean reversion trading strategies are great when the market has over-valued or under-valued the underlying asset. So you could take advantage of a price movement in both directions, potentially doubling your return as the reversion to the mean takes place.

Position Sizing Guidelines

Trade With the Pros LLC (“TWP”) is a financial education provider for customers looking to build the skills and proficiency necessary for retail trading and investing in the financial markets. When you exit the position based on time, you will wait for the price to revert to mean to initiate new positions. Now it’s easier to observe that the ratio moves around the mean, but sometimes it diverges from the mean, which we can take advantage of.

This happens because the stock will often jump to match the acquisition price. The Bullish Bears team focuses on keeping things as simple as possible in our online trading courses and chat rooms. We provide our members with courses of all different trading levels and topics. Also, we provide you with free options courses that teach you how to implement our trades as well. Our editors independently research our articles and review the best products and services. We may receive commissions on purchases made from links in articles.

And just to make things even more challenging, all of these strategies are valid, depending on the market conditions and type of trading or investing. After learning from this course, you can create different mean reversion strategies such as Index Arbitrage and long-short portfolios using market data and advanced statistical concepts. Whether you’re a novice or an experienced trader, mastering mean reversion strategies can enhance your trading discipline, and improve decision-making. Moving averages are the best technical indicators to use in day trading. As mentioned, these averages look at an asset’s price over time. The other popular mean reversion indicator to use is known as the Bollinger Bands.

This article gives you some input and advice on how to develop a mean reversion trading strategy and discusses its pros and cons. One popular way to trade Bollinger Bands is to buy when the price crosses above the lower band and sell when it crosses below the upper band. This strategy works best in trending markets, as it will help traders capture larger gains from long-term trends. The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. Typically, an RSI above 70 indicates an asset may be overbought, while an RSI below 30 might be oversold. These conditions indicate that a potential mean reversion may occur.

Similarly, you can place a short trade when it retests the upper side of the channel and exit when it moves to the mean level. You can use the channel in a long-term chart or a short-term one. Some traders and investors strongly believe in the mean reversion approach while others believe it does not work. Further, mean reversion has some bias baked in it such as the gambler’s bias, which suggests that an asset will move in a certain way based on past events. Mean reversion is a theory in finance that suggests that an asset price will always return to its historic average over time.

What are the key indicators that identify potential mean reversion opportunities?

  • The mean reversion strategy uses various technical analysis tools such as Bollinger Bands, moving averages, and moving averages envelopes.
  • Moving averages are the best technical indicators to use in day trading.
  • The Bullish Bears team focuses on keeping things as simple as possible in our online trading courses and chat rooms.
  • Shorter time frames, such as minute, or hourly intervals, are also commonly used in mean reversion strategies due to the frequent price fluctuations within these periods.

Market conditions greatly impact the effectiveness of mean reversion trading. In stable market environments, assets follow a standard deviation from the mean, with prices oscillating within a predictable range. Traders should assess the prevailing market conditions, considering whether they are conducive to the strategies applied for mean reversion trading.

Envelopes are similar but only use two lines which encompass the average current market movements. RSI is a speed and momentum indicators that is used to assess whether an asset is overbought or oversold. RSI is displayed on a scale from anything below 30 is considered oversold, and thus expected to increase in value and anything above 70 is considered overbought and is expected to drop in value.

This means that an asset that spikes suddenly will pull back in order to retest its historic range over time. Our chat rooms will provide you with an opportunity to learn how to trade stocks, options, and futures. You’ll see how other members are doing it, share charts, share ideas and gain knowledge.

Also day traders use RSI and stochastic oscillators for identifying overbought or oversold conditions on an intraday basis. Signals from these technical analysis tools often prompt day traders to enter or exit positions. Additionally, with bollinger bands, day traders look for “squeezes” where the bands tighten, indicating low volatility and the potential for a significant price move. The mean reversion strategy uses various technical analysis tools such as Bollinger Bands, moving averages, and moving averages envelopes. Reversion traders will use these to see price deviations or range bound markets.

Most of the people are confused between correlation and cointegration, and they often think they are the same. When two price series move in the same or opposite direction, then there is some correlation between the price series. If one price series moves in either up or down direction and other price series also move in the same direction, there is a positive correlation between them. According to the mean reversion principle, you expect this divergence to revert to normal with time. In such scenarios, when there is a temporal divergence, you can perform the pairs trade.

  • For example, stocks like Google and Microsoft or Facebook and Twitter.
  • And just to make things even more challenging, all of these strategies are valid, depending on the market conditions and type of trading or investing.
  • This concept assumes that high and low prices are temporary and a price will tend to move back to its average over time.
  • The high degree of leverage that is often obtainable in options and futures trading may benefit you as well as conversely lead to large losses beyond your initial investment.
  • The selection of an asset to trade using mean reversion is dependent on various factors such as market conditions, the entity’s trading and investing expertise, and risk tolerance.

The time frame can vary based on the investor or trader’s time horizon. Then the average price is computed over the selected time frame. Whether you’re trading stocks forex or other financial instruments mean reversion strategies can provide a reliable framework for your trading decisions. Start small focus on mastering one strategy and gradually expand your trading arsenal as you gain confidence and experience. Copy trading involves risk, including following traders with different experience levels or financial goals. Past performance of a Strategy Provider is not a reliable indicator of future results.

Thus, stop-losses might be very detrimental to a strategy unless you set a very wide stop-loss. But if you have a very wide stop-loss, then you, in reality, don’t have a stop-loss. The chart above shows that volatility comes and goes, although it seems to have established itself on a higher level in 2021. When volatility spikes, it tends to cool off and go down after some time, depending on your time frame. On standard charts, the Stochastic Oscillator is not profitable in all timeframes.

It is very simple to use mean reversion trading with a single asset. When the price is above or below the SMA, or breaks through levels, you can enter a trade and exit the trade the closer it gets to the middle indicator line. As explained in the principle of pairs trading, the spread between stocks must converge to the mean over time for pairs trading to work. For example, if the linear combination of two stocks is stationary, both stocks are cointegrated with each other. A price series is said to be stationary if its mean and variance are constant over time.

Mean reversion strategies in day trading often involve short-term entries and exits. Traders  look for extreme deviations from a moving average or other statistical measure and then trade in anticipation of prices returning CMC Markets Review to that average. Based on 43,297 test trades, my research shows the Commodity Channel Index (CCI) is a profitable momentum indicator used to identify overbought and oversold conditions.

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