Mean reversion trading is based on the principle that prices tend to return to a statistical average over time. When price deviates significantly from its mean (typically represented by a moving average or VWAP), mean reversion traders take positions expecting a snapback toward that average. This approach systematically exploits overextended moves and excesses in market sentiment.
Price oscillates around a mean value (moving average, VWAP, or Bollinger Band midline). Standard deviation measures how far price has moved from the mean. Entries occur at extreme deviations (2+ standard deviations). Bollinger Bands, Keltner Channels, and Z-score indicators quantify deviation. Works best in ranging and moderately trending markets — fails in strong trends.
Enter when price touches or exceeds the outer Bollinger Band (2 standard deviations from the mean). Buy when price is more than 2 ATR below the 20-period mean with RSI below 20. Use Z-score readings above 2 or below -2 to identify extreme deviation. Confirm with a reversal candle at the extreme level before entering.
Target the mean itself (moving average midline) as the primary take-profit level. Place stops beyond the extreme — if price continues to deviate, the trend may be too strong for mean reversion. Take partial profits at the first standard deviation band. Exit if momentum indicators show no signs of reverting despite reaching extreme levels.
5M, 15M, 1H, 4H
Mean reversion is not the same as catching falling knives — always wait for a confirming reversal signal at the extreme rather than blindly buying the dip. This strategy works poorly in low-liquidity or strongly trending markets. Combine mean reversion entries with a trend filter — only take mean reversion trades in the direction of the higher-timeframe trend.
Pairs trading is a market-neutral strategy that simultaneously takes a long position in one asset and a short position in a correlated asset, profiting from the convergence of their relative price spread. By trading the relationship between two assets rather than their absolute direction, pairs trading hedges market risk and generates returns independent of the overall market trend. This approach is widely used by quantitative hedge funds and institutional traders.
Breakout trading involves entering a position when price moves decisively beyond a defined level of support, resistance, or consolidation. The strategy capitalises on the increased momentum and volatility that typically follow the breach of a significant level. The key challenge is distinguishing genuine breakouts from false ones, which requires volume confirmation, context analysis, and disciplined stop placement.
Contrarian trading involves taking positions against the prevailing market consensus, buying when fear is extreme and selling when euphoria peaks. This approach exploits the tendency for crowd sentiment to reach unsustainable extremes at market turning points. Contrarian traders use sentiment indicators, positioning data, and extreme technical readings to identify moments when the market is likely to reverse.
Momentum trading is a strategy that buys assets showing strong recent performance and sells those showing weak performance, based on the empirically observed tendency for recent winners to continue outperforming and recent losers to continue underperforming over intermediate horizons. This persistence of returns has been documented across equities, commodities, currencies, and crypto markets over decades of academic research.