Trading StrategiesIntermediate

Mean Reversion

Mean reversion is the idea that prices that stretch far from their average tend to return toward it, and strategies that trade on that assumption.

When a price moves unusually far, unusually fast, it often snaps back part of the way. Mean-reversion traders bet on that snap-back: buying after sharp drops and selling after sharp rises, expecting a return towards an average. It is the opposite of trend following, and it works best in sideways, range-bound markets. Its weakness is the rare move that keeps going — which is why risk control decides whether a mean-reversion strategy survives.

Category
Trading Strategies
Reading time
5 min
Also called
Mean-reversion strategy, Reversion to the mean, Mean reverting
Updated

Mean reversion in plain words

Think of a rubber band: stretch it and it pulls back.1 Mean-reversion traders treat prices the same way. If a stock falls 8% in three days without news, they expect some recovery towards its recent average.

Tools such as the RSI, Bollinger Bands and the distance from a moving average measure how stretched a price is. Traditionally, an RSI above 70 is considered overbought and below 30 oversold.2 See Relative Strength Index and Bollinger Bands.

How a mean-reversion trade works, step by step

  1. Choose the mean

    A moving average, a range midpoint or a fair-value estimate. See Moving Average.

  2. Measure the stretch

    RSI extremes, closes outside a Bollinger Band, or a set percentage away from the average.

  3. Check the market type

    Mean reversion works best in ranges; in strong trends, overbought or oversold readings can last a long time.2 See Range Trading.

  4. Enter against the stretch

    Buy after an oversold drop, sell or short after an overbought rise — ideally after a first sign of turning.

  5. Target the mean

    Exit near the average rather than hoping for a full reversal.

  6. Always use a stop

    The rare move that does not revert can be large. Define the maximum loss before entering. See Stop Loss.

Worked examples

Example 1 — Buying an oversold dip in a range

Range

A stock ranges between $45 and $55 around a 20-day average of $50. It drops to $46 with an RSI of 26. A trader buys at $46.20, stop $44.40, target the average $50.

Example 1 — Buying an oversold dip in a range — calculation
Risk$1.80 a share
Reward to the mean$3.80 a share
Reward-to-risk≈ 2.1 : 1

Within a clear range, buying the stretched low and selling at the middle offers a favourable trade.

Example 2 — The shape of results

Profile

A mean-reversion system: 65% winners averaging +0.9R, 35% losers averaging −1.2R (some stops gap).

Example 2 — The shape of results — calculation
Expectancy0.65 × 0.9 − 0.35 × 1.2 = +0.165R

Many small wins and fewer, larger losses — the mirror image of trend following. See Expectancy.

Example 3 — When it does not revert

No reversion

A stock falls from $50 to $44 and looks oversold. A trader buys without a stop. The company then cuts guidance and the stock falls to $31.

Example 3 — When it does not revert — calculation
Loss per share$44 − $31 = $13
In R (if a $1.80 stop was planned)≈ −7.2R

One unhedged “cheap” stock can wipe out dozens of small wins. “Oversold” can always become more oversold.

Figure 1

Stretched readings on the RSI

Price with a 14-period RSI below itThe upper panel shows the price; the lower panel shows the RSI on a scale from 0 to 100, with dashed lines at 70 and 30. The RSI rises above 70 near the price peaks and falls towards or below 30 near the troughs, turning before or as the price turns.PriceRSI (14)70 overbought5030 oversoldtime →
Mean-reversion traders look for prices stretched to RSI extremes — above 70 or below 30 — expecting a move back towards the middle.

Mean reversion vs. trend following

AspectMean reversionTrend following
IdeaStretched prices returnMoves continue
Typical win rateHigherLower
Typical loss profileRare large lossesMany small losses
Best marketsRangesTrends
Main dangerA trend that does not stopLong sideways periods

Where mean reversion is used

  • Range-bound stocks and indices

    Buying near support and selling near resistance in established ranges. See Support and Resistance.

  • Short-term index trading

    Sharp, news-free drops in broad indices have historically often been followed by bounces — not always.

  • Pairs trading

    Trading the gap between two related assets, expecting it to close. See Pairs Trading.

  • Options selling

    Many option-selling strategies implicitly bet that prices stay within a range.

Advantages and disadvantages

Advantages

  • High win rates, which many traders find easier to follow.
  • Clear targets at the mean.
  • Works well in the sideways markets where trend systems struggle.

Disadvantages

  • Occasional large losses when trends persist.
  • Easy to confuse a trend change with a stretch.
  • Gaps and news can blow through stops.
  • Tempting to average down, which compounds losses. See Averaging Down and Averaging Up.

Going deeper

Read as far as you need. Each level builds on the one before it.

Cheap can get cheaper

Beginner

A falling price is not a reason to buy on its own. Mean reversion needs a defined mean, a measured stretch, a range context and a stop.

Filtering with the bigger trend

Intermediate

Many traders only take mean-reversion buys when the longer-term trend is up — buying short-term dips in a long-term uptrend — which overlaps with pullback trading. See Pullback.

Statistical mean reversion

Advanced

In quantitative work, mean reversion is tested statistically — for example with stationarity tests or the Hurst exponent — and is the basis of pairs and spread trading on cointegrated assets. See Autocorrelation, Hurst Exponent and Cointegration.

Common mistakes

  1. Fading strong trends

    In trends, overbought and oversold can persist for a long time.

  2. No stop-loss

    Mean-reversion losses are rare but large; stops are not optional.

  3. Averaging down repeatedly

    Adding to a loser that keeps falling turns a small error into a big one.

  4. Targeting too far

    Aim for the mean, not a full reversal.

Check your understanding

Test yourself before moving on. Each answer comes with an explanation.

Q1In a $40–$50 range with a $45 average, you buy at $41 with a stop at $39.50. What is the reward-to-risk to the mean?
Q2When does mean reversion usually work worst?

Key points to remember

  1. Mean reversion bets that stretched prices return towards an average.
  2. It works best in ranges and worst in strong trends.
  3. Typical results: many small wins, occasional larger losses.
  4. Target the mean and always use a stop.
  5. “Oversold” is a description, not a guarantee of a bounce.

Frequently asked questions

Is mean reversion better than trend following?

Neither is better in general. They suit different market conditions and produce different patterns of wins and losses; some traders combine both.

What is the “mean” in mean reversion?

Whatever average the strategy defines: a moving average, the middle of a range, or an estimate of fair value.

Does mean reversion work in crypto?

It can in range-bound periods, but crypto’s strong trends and large moves make stops and position sizing especially important.

Further learning

Sources

This article is written in our own words. The sources below support the specific facts, rules and figures marked with a number in the text. Links open the original publisher’s page.

  1. Fidelity. Bollinger Bands (opens in a new tab) Checked .
  2. Fidelity. Relative Strength Index (RSI) (opens in a new tab) Checked .

Educational content, not financial advice. Examples use hypothetical prices and simplified costs; actual fees, margin rules and regulations vary by broker, market and country. We are not affiliated with any publisher linked above. Last reviewed . Report an error or request a source credit.