Mean Reversion Models

What Is Mean Reversion?

Mean reversion assumes that price tends to return to its average after deviating too far. These deviations often occur due to short‑term volatility spikes, liquidity gaps or emotional trading.

• • Price moves too far from equilibrium
• • Market overreacts to short‑term events
• • Liquidity temporarily dries up
• • Volatility expands and then collapses

Core Components of Mean Reversion Systems

Deviation Detection

• • Distance from moving average
• • Bollinger Band extremes
• • RSI/MFI overextension
• • Volatility spikes

Entry Logic

Entries occur when price reaches statistically extreme levels and shows signs of slowing momentum.

• • Touching or breaking volatility bands
• • Oversold/overbought oscillators
• • Reversal candles at extremes
• • Divergence signals

Exit Logic

Exits aim to capture the return to equilibrium without overstaying the move.

• • Return to moving average
• • Mid‑band exit
• • Volatility contraction
• • Opposite signal or momentum shift

Strengths of Mean Reversion

• • High win rate in stable markets
• • Works well in ranges and low‑volatility phases
• • Predictable target zones
• • Simple, rule‑based logic

Weaknesses & Risks

Mean reversion systems can fail dramatically during strong trends or macro‑driven breakouts.

• • Catching falling knives
• • Unlimited adverse movement in trends
• • Volatility expansions that don’t revert
• • High drawdowns without strict risk limits

Risk Management in Mean Reversion

Proper risk control is essential to avoid catastrophic losses.

• • Hard stop‑losses
• • Volatility‑based position sizing
• • Avoiding strong trend environments
• • Session filters to avoid news spikes

Mean Reversion in EAs

Quantisca’s mean‑reversion EAs typically include:

• • Volatility bands
• • Oscillator confirmation
• • Trend filters to avoid strong moves
• • Equity protection rules

Conclusion

Mean reversion is a powerful approach in stable, range‑bound markets. When combined with volatility filters, strict risk management and trend detection, it becomes a reliable component of systematic trading.