Mean-reversion - single cluster
Fade extremes when price stretches from fair value; trends can keep stretching longer than your margin account.
Overview
Mean-reversion - single cluster sits in the Stocks chapter of the systematic catalog. On QUSXFI we treat it as a testable hypothesis: specify entries, exits, sizing, and costs—then ask whether edge survives out-of-sample scrutiny.
Discretionary traders often arrive at similar ideas intuitively; the quantitative version forces you to write the rule before you see the next bar. That discipline is what makes results reproducible—or exposes them as luck.
Based on the research catalog 151 Trading Strategies (Kakushadze & Serur, 2018), section 3.9. Educational summary—not a replication of the full formal definition.
Signal Logic
Mean-reversion - single cluster fades stretches from fair value—bands, z-scores, or residual models define 'stretched.'
Before backtesting Mean-reversion - single cluster, write the economic hypothesis in one sentence a risk manager would accept or reject.
Implementation and Research Process
Define fair value for Mean-reversion - single cluster without peeking—VWAP, moving average, or residual model must use only past data at signal time.
For §3.9 Mean-reversion - single cluster, write the rule set so another researcher could replicate without you in the room.
Log regime tags beside Mean-reversion - single cluster performance slices—vol level, rate cycle, liquidity stress.
Risk: What Breaks This Strategy
Mean reversion in Mean-reversion - single cluster dies in strong trends; fading a breakout because 'it stretched' is how systematic accounts bleed slowly.
Execution at band extremes often happens into illiquid minutes—your fill IS the adverse move.
Parameter sensitivity is high: half-life estimates move with one extra year of data.
Common Mistakes to Avoid
- Changing Mean-reversion - single cluster band width after each losing week—hidden discretion.
- Fading Mean-reversion - single cluster breaks because 'it stretched'—trends outlive margin accounts.
- Reporting Mean-reversion - single cluster backtests without fees, slippage, and realistic fill rules.
- Deploying Mean-reversion - single cluster live before paper trading through at least one adverse Stocks month.
How to Study This Strategy
- Specify fair value for Mean-reversion - single cluster and band rules with no lookahead.
- Backtest Mean-reversion - single cluster through one strong trend month; log every stop-out.
- Compare Mean-reversion - single cluster open versus close execution assumptions side by side.
- Paper Mean-reversion - single cluster with vol-scaled size for four weeks.
- Write Mean-reversion - single cluster regime tags when trend filters would have kept you flat.
Key Takeaways
- Mean-reversion - single cluster fades stretches from fair value—strong trends can extend longer than margin tolerance.
- Execution at band extremes for Mean-reversion - single cluster often lands in illiquid minutes where your fill is the adverse move.
- Vol scaling changes signal size precisely when vol expands and edges thin.
- Combining mean reversion with momentum filters changes the thesis—document which you actually trade.
- Paper Mean-reversion - single cluster through at least one trending month before calling the signal robust.
Learning Tip
Compare Mean-reversion - single cluster to one sidebar alternative net of costs—complexity should pay rent.
Explore related strategies in the sidebar or return to the full catalog.