What is Mean Reversion in Trading?
Quick Answer: Mean reversion assumes price will return to its average after deviations, using statistical tools to fade overextended moves.
Understanding Mean Reversion
Mean reversion strategies assume price will eventually return to an average value after deviating. Traders measure that “mean” using moving averages, VWAP, or statistical bands and then fade extremes with the expectation of reversion.
Core Elements
- Identify the mean: Choose a reference—20-period EMA, VWAP, or statistical tools like Bollinger Bands.
- Define extremes: Use z-scores, RSI, or standard deviation multiples to flag overbought/oversold conditions.
- Trigger entries: Wait for rejection candles, divergence, or lower-time-frame confirmation before fading the move.
- Plan exits: Target the mean or opposing band; scale out as price normalizes.
Market Selection
Mean reversion thrives in ranging markets, session lulls, or pairs anchored by carry trades. Avoid deploying it during strong trends or high-impact news.
Risk Controls
Extended trends can stay overbought for weeks. Combine mean reversion with higher-time-frame filters, volatility regimes, and hard stops. Size positions modestly and consider time stops if price fails to revert.
No Martingales
Doubling into losers under the guise of mean reversion leads to blow-ups. Respect invalidation levels and reset when evidence changes.
Deep Dive
Most edges come from applying clear rules consistently. Expand your analysis beyond a single signal: add context from higher timeframes, recent volatility, session behavior, and catalysts. Define invalidation so a trade becomes obviously wrong fast, keeping losses small while letting winners compound.
Trader Checklist
- Higher‑timeframe bias aligns with the setup.
- Clear level or zone for entry with confluence.
- Pre‑defined stop beyond structure; 2–3R target.
- Session/liquidity supports follow‑through.
- No imminent high‑impact news unless planned.
Strategy Ideas
- Combine structure with momentum confirmation (break/close/acceptance).
- Use partials: scale out at first target; trail remainder.
- Journal results by session and pair to refine timing.
Risks and Limitations
- Thin liquidity widens spreads and distorts signals.
- False breaks around obvious levels—wait for acceptance.
- Overfitting indicators; keep the process simple and robust.
Example
Map bias on the daily chart, mark a zone, and wait on 1H for a close back above with rising participation. Enter on the retest; stop beyond the invalidation wick; target prior swing with room for extension. Record the outcome and context to iterate.
Related Terms
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