Mean Reversion Futures

Yes, mean reversion is counter-trend trading which carries inherent risk. That's why: 1) We only trade at statistical extremes where probability favors reversion, 2) We use smaller position sizes (1-1.5% vs 2%), 3) We require confirmation signals before entry, 4) We avoid trending markets (ADX > 30), 5) We accept that some trades will fail when trends continue. Mean reversion isn't about fighting every move - it's about identifying overextended conditions with high reversion probability.

Multiple measures identify overextension: 1) Bollinger Bands - price touching or piercing outer bands (2 standard deviations), 2) RSI - below 25 (oversold) or above 75 (overbought), 3) Distance from VWAP - more than 0.3-0.5% for the FTSE 100 intraday, 4) Distance from moving average - significantly above/below 20 or 50 period MA. Best when multiple measures agree. Single indicator overextension is weaker signal than multiple indicators confirming extreme.

Targets are based on return toward mean: 1) Conservative: 50% of deviation distance (e.g., if 200 points below mean, target 100 points profit), 2) Standard: return to mean or moving average, 3) Extended: if momentum shifts strongly, can target opposite extreme. Most traders use partial exits: 50% at halfway to mean, trail rest. Don't expect price to reach mean every time - taking partial profits ensures you capture something from trades that reverse early.

Avoid mean reversion when: 1) ADX > 30 (strong trend), 2) Price consistently making new highs/lows (trending), 3) Major news driving the move (fundamental shift), 4) Higher timeframes also extended in same direction, 5) No confirmation signals despite extreme readings, 6) First 30 minutes of trading (opening noise), 7) the days around quarterly expiry/rollover (increased randomness). Mean reversion is a ranging market strategy - recognize when conditions aren't suitable and stay flat.

Hold until: 1) Target reached (return to mean), 2) Stop hit (trend continued), or 3) Time stop expires. Typical durations: intraday VWAP reversion - 1-4 hours; daily Bollinger reversion - 1-3 days; weekly extreme - 3-7 days. If no reversion progress in expected time, exit at market. Extended holds suggest your thesis may be wrong - trends can continue longer than expected. Use time stops as discipline.

Use both for confirmation: 1) Check VWAP deviation - is price significantly above/below? 2) Check Bollinger position - is price at or beyond bands? 3) Best signals when both confirm: price above VWAP AND at upper Bollinger = strong overbought. Entry approach: use Bollinger touch as signal, VWAP as target. Additional confirmation: RSI at extreme. Multi-indicator agreement increases probability significantly.

Yes, but with strict rules: 1) Only if original thesis remains valid (extreme getting more extreme), 2) Predefined scaling plan (e.g., add 30% at 2.5 SD if entered at 2 SD), 3) Maximum additions limited (typically 2 adds maximum), 4) Stop fixed for entire position (don't move stop further away), 5) Total position must stay within risk limits. This is controlled scaling, not desperate averaging. If position exceeds planned risk, exit - don't keep adding indefinitely.

FTSE 100: Best for beginners - liquid (a £10-per-point future plus deep spread-bet/CFD markets), moderate volatility, fairly predictable reversion patterns. FTSE 250: Faster moves, larger reversion targets, but can extend further - more aggressive, with retail access mainly via spread bet/CFD. Single stocks (CFD/spread bet): Vary widely - some mean-revert well, others trend persistently. Before trading any instrument, analyse historical mean-reversion behaviour: calculate half-life, test Z-score strategies, check ADF stationarity. Some instruments trend, others revert - identify which before trading.

Catching falling knives is buying during downtrends hoping for reversal - usually fails. Mean reversion is buying at statistical extremes in ranging markets with confirmation. Key differences: 1) Mean reversion requires ranging market (ADX < 25); falling knives occur in trends, 2) Mean reversion waits for confirmation; falling knives enter immediately, 3) Mean reversion uses statistical measures; falling knives use gut feel, 4) Mean reversion accepts some trades fail; falling knife traders hope every trade works. Discipline and statistics separate the two.

Volatility impacts significantly: 1) Low volatility - smaller deviations from mean, smaller profit targets, but more predictable reversion. 2) Normal volatility - optimal for mean reversion, standard parameters work. 3) High volatility - larger deviations, larger targets, but extremes can extend much further - need wider stops. Adjust strategy: in low VFTSE, use tighter deviation thresholds; in high VFTSE, use wider stops and require stronger confirmation. Track performance by VFTSE regime.

Z-score calculation: Z = (Price - N-period Mean) / N-period Standard Deviation. Implementation: 1) Calculate rolling 20-period SMA and SD, 2) Compute Z-score for each bar, 3) Entry when Z crosses below -2 (long) or above +2 (short), 4) Exit when Z returns to 0, 5) Stop if Z exceeds ±3. Refinements: use exponential calculations for faster response, adjust N-period for instrument characteristics, combine with regime filter. Z-score provides objective, standardized measure across instruments and timeframes.

Half-life is the expected time for mean-reverting deviation to reduce by 50%. Calculation: 1) Run regression of price change on lagged price level, 2) Half-life = -ln(2) / regression coefficient. Interpretation: if half-life = 5 days, expect deviation to halve in 5 days. Use: instruments with shorter half-life are better for mean reversion (faster reversion). Typical values: liquid indices 3-7 days, some stocks 10-15 days. If half-life is very long (>30 days) or regression coefficient suggests non-stationarity, avoid mean reversion on that instrument.

Detection methods: 1) Rolling ADX - when ADX crosses above 25-30, reduce mean reversion exposure, 2) Rolling autocorrelation - negative autocorrelation suggests mean reversion works; positive suggests trending, 3) Track strategy performance - declining win rate or increasing losses signal regime change, 4) Bollinger Band behavior - bands expanding with price trending along them = trending regime, 5) VFTSE regime - extreme VFTSE (very high or very low) can disrupt normal mean reversion. Build regime score and adjust allocation accordingly.

Key considerations: 1) Sufficient data - minimum 5 years covering different regimes, 2) Transaction costs - mean reversion has many trades; include realistic slippage and commissions, 3) Walk-forward testing - mean reversion parameters can overfit; use walk-forward validation, 4) Regime separation - test performance in ranging vs trending periods separately, 5) Risk metrics - drawdown, time in drawdown, consecutive losses matter as much as total return, 6) Statistical significance - ensure enough trades for statistical validity. Expect 55-65% win rate with smaller wins than losses but positive expectancy.

Integration approach: 1) Allocate 40-50% to mean reversion (works in ranging), 40-50% to trend-following (works in trending), 10-20% to breakout/other, 2) Regime-based allocation - increase mean reversion in low ADX, decrease in high ADX, 3) Correlation monitoring - ensure strategies aren't taking same positions, 4) Performance attribution - track which strategy contributes in which regime, 5) Rebalancing - periodic adjustment based on performance and regime. This diversification smooths equity curve as strategies perform well in different conditions.