What is Mean Reversion?
Mean reversion assumes prices return toward an average after stretched moves. Works in ranges; dangerous in strong trends.
Formula
Mean Reversion Logic: 1. Calculate the "mean" (moving average) 2. Measure current price vs. mean 3. When price is far above mean → Sell (expect drop) 4. When price is far below mean → Buy (expect rise) 5. Exit when price returns toward mean The Key: Prices can stay extreme longer than you expect. Always use stops for when "extended" becomes "new trend."
Indian market context (NSE)
Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Mean Reversion shows up on Indian index, equity, and futures books — update to live quotes in your journal.
Nifty 50 perspective
Mean Reversion on Nifty (24,300): backtest includes 9:15 liquidity and expiry-day behaviour; edge on index may vanish outside 10:00–14:30 window.
Reliance Industries perspective
Mean Reversion on Reliance (₹1,300): liquidity is deep but event gaps dominate — strategy rules need explicit earnings blackout weeks.
Bank Nifty futures perspective
Mean Reversion on Bank Nifty futures (55,000): high beta suits shorter holds; overnight mean reversion must state NRML risk and gap plan in writing.
How to validate
- Forward-test Mean Reversion on paper or sim for two weeks after rule changes.
- Validate only on trades where Mean Reversion settings matched the written playbook.
- Split results by trending vs range weeks on Nifty before trusting the signal.
- Require higher-timeframe bias agreement if that is part of your rule.
How to track in TradeLyser
- Add Mean Reversion reading to trade entry notes (value + timeframe).
- Create tags: “Mean Reversion aligned” / “Mean Reversion ignored”.
- Monthly: filter trades by alignment tag and compare win rate and avg R.
- Screenshot chart context for mentor review on disputed trades.
Best practices
- Combine Mean Reversion with higher-timeframe bias — not as a lone trigger.
- Avoid curve-fitting settings on less than three months of tagged data.
- Refresh playbook screenshots when changing Mean Reversion parameters.
- Skip trading when Mean Reversion conflicts with written risk limits.
Common pitfalls
- Treating Mean Reversion as a guaranteed reversal signal.
- Optimising parameters on one bullish month only.
- Trading against higher-timeframe bias because Mean Reversion “said so”.
- Failing to log when you overrode Mean Reversion discretionally.
How to use this in TradeLyser
Pair mean-reversion tag with ADX or regime note. Monthly P&L in range vs trend weeks.
Related terms
Bollinger Bands place upper and lower bands around a moving average, typically ±2 standard deviations. Band width reflects recent volatility.
Relative Strength Index compares average gains to average losses over a lookback (commonly 14). Readings above 70 and below 30 are traditional extreme zones — not automatic reversal signals.
The stochastic oscillator measures where the close sits within the recent high-low range. %K and %D lines flag stretched moves in range-bound markets.
Volume Weighted Average Price averages traded price weighted by volume from session open. Many intraday desks use it as fair-value reference.
FAQ
What is an example of mean reversion?
A stock normally trades around ₹500. News causes it to spike to ₹600 (+20%). Mean reversion traders short it, betting it will return toward ₹500. Over the following weeks, it does, and they profit from the move back to the mean.
How do you identify mean reversion opportunities?
Look for extreme deviations from moving averages, RSI readings above 80 or below 20, price touching Bollinger Band extremes, or statistical measures showing 2+ standard deviations from mean. The further from average, the stronger the reversion signal.
Is mean reversion profitable?
Mean reversion can be profitable in range-bound markets but fails in trending markets. It works best on liquid instruments with established trading ranges. The challenge is distinguishing genuine mean reversion from a new trend beginning.
What is the difference between mean reversion and trend following?
Mean reversion bets prices will return to average—buying oversold, selling overbought. Trend following bets trends continue—buying strength, selling weakness. They're opposite approaches. Mean reversion works in ranges; trend following works in trends.
What timeframe works best for mean reversion?
Mean reversion works across timeframes but is most popular on daily charts for swing trades and 5-15 minute charts for day trades. Very short timeframes (tick/1-min) are too noisy; very long timeframes take too long to revert.
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