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Mean Reversion

Mean reversion trades bet that prices stretched far from their average will come back. Learn the signals, z scores, examples and the risk of fading strong trends.

Intermediate3 min readUpdated 3 Oct 2026
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Lesson 12 of 22

Mean reversion is the idea that prices, or the relationships between prices, tend to return towards an average after moving to an extreme. A mean reversion trader buys when price is unusually low relative to its average and sells when it is unusually high, expecting a snap back. It is the opposite of momentum: instead of buying strength, mean reversion buys weakness and sells strength. Both effects exist, at different horizons and in different conditions.

Where mean reversion appears#

Market or measureWhy it may revert
Short term stock moves (days)Overreaction to news, liquidity demands of large traders
Ranges in sideways marketsBuyers and sellers balance around value
Spreads between related assetsEconomic links pull them back together. See Pairs Trading
VolatilitySpikes tend to fade towards long run levels. See Implied Volatility (IV)
Interest rate spreads and valuation ratiosArbitrage and fundamentals limit extremes over long periods

Measuring "stretched"#

z = (price - moving average) / standard deviation of price

Strengths#

  • High win rates, which are psychologically easier to trade.
  • Works well in ranges and choppy markets, where trend strategies struggle.
  • Clear reference points: the average acts as a natural target.
  • Diversifies trend and momentum strategies.

Risks#

  • Fading a real trend. What looks stretched can keep stretching. Markets can stay irrational longer than a trader can stay solvent, as the saying goes.
  • Large occasional losses that wipe out many small wins.
  • Regime changes: relationships that reverted in the past can break. See Structural Breaks and Regime Changes.
  • Catching falling knives in stocks with real bad news.

Making mean reversion safer#

  1. Use a trend filter: buy dips in uptrends, not crashes in downtrends.
  2. Use stops or time exits. If price does not revert within a set time, exit. See Time Stops.
  3. Size conservatively because losses can be fat tailed. See Fat Tails.
  4. Avoid averaging down without limits. See Scaling In and Pyramiding.
  5. Test for stationarity when trading statistical spreads. See Stationarity, Differencing and Unit Roots.

Momentum and reversion together#

Research finds reversal at very short horizons (days to a month), momentum over 3 to 12 months and reversal again over 3 to 5 years. Many traders run both: mean reversion for short swings and trend following for longer moves, which tend to perform in different market conditions. See Momentum Trading.

Common mistakes#

  • Assuming every big move will reverse.
  • No stop or time limit.
  • Ignoring costs on short, frequent trades.
  • Using too short a history to estimate the average and volatility.

Frequently asked questions#

What is mean reversion in trading?#

The tendency for prices or price relationships to return towards an average after moving to an extreme, and the strategies that trade that tendency.

What is the difference between mean reversion and momentum?#

Momentum bets that strong moves continue; mean reversion bets that extreme moves reverse. They tend to work at different time horizons.

What indicators are used for mean reversion?#

Common tools include z scores, Bollinger Bands, short term RSI and distance from a moving average.

Next, trade reversion between two related assets with Pairs Trading.

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Next lessonPairs TradingPairs trading buys one asset and shorts a related one when their spread stretches, betting it will converge. Learn pair selection, hedge ratios, z scores and risks.

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