Mean-Reversion
Bet that prices stretched far from their average snap back toward it.
How it works
Mean-reversion assumes prices oscillate around a fair or average level, so extreme moves tend to reverse. A trader buys assets that have fallen sharply below their recent average and sells those that have spiked above it, expecting a bounce back to the middle. Signals include distance from a moving average, oversold oscillators, or statistical z-scores. It is the philosophical opposite of momentum and tends to work best over short horizons and in range-bound, calm markets. The core danger is that not every drop reverts; sometimes a cheap price is the start of a genuine collapse, and the 'average' itself is drifting.
The trade-offs
✅ Strengths
- High win-rate in stable, range-bound conditions
- Provides liquidity and often has a clear entry logic
- Works on short timeframes with frequent opportunities
⚠️ Weaknesses
- Catastrophic when a 'cheap' asset keeps falling (no floor)
- Small frequent gains can be wiped out by rare large losses
- Fails badly in strong trending or crisis regimes
Publicly associated with
Naming a practitioner is historical, educational context — never an endorsement.
Legends who play this way
Play the Mean-Reversion style in Conviction League
Draft a critter that trades this way, train it on a simulated market, and backtest it on the leaderboard — free and fully simulated, so there's zero real-money risk.