Strategy Decay: Why Edges Fade
Posted: Sun Oct 04, 2026 11:52 am
Strategy Decay: Why Edges Fade
Strategies that work for a while often stop working. This is not always a sign of error. Markets adapt.
Several forces drive decay. Competition is one: as more traders learn about a pattern, the opportunity shrinks, since their trades move price toward fair value. Changing conditions are another: volatility levels, interest rate regimes, and market structure shift over time. And some edges come from temporary imbalances, which resolve.
Decay can be gradual or abrupt. A trend-following system built for the strong trends of one decade may struggle in a choppy one. A news-based approach may lose value as execution speed improves among institutions.
How do you detect it? Monitor live performance against expectations. Track rolling expectancy over the last 50 or 100 trades. Compare the current drawdown with the historical maximum. If results fall outside the range seen in testing, investigate.
The difficulty is that normal variance and genuine decay look similar at first. Predefine a threshold, for example, a drawdown 1.5 times the maximum backtest, or a rolling expectancy below zero for a set number of trades, that triggers a formal review.
The response may be to reduce size, adapt the rules, or retire the strategy.
Having more than one approach, and the willingness to research new ones, offers resilience.
Practical step: calculate the rolling expectancy of your last 50 trades, and write the level at which you will pause and review.
Strategies that work for a while often stop working. This is not always a sign of error. Markets adapt.
Several forces drive decay. Competition is one: as more traders learn about a pattern, the opportunity shrinks, since their trades move price toward fair value. Changing conditions are another: volatility levels, interest rate regimes, and market structure shift over time. And some edges come from temporary imbalances, which resolve.
Decay can be gradual or abrupt. A trend-following system built for the strong trends of one decade may struggle in a choppy one. A news-based approach may lose value as execution speed improves among institutions.
How do you detect it? Monitor live performance against expectations. Track rolling expectancy over the last 50 or 100 trades. Compare the current drawdown with the historical maximum. If results fall outside the range seen in testing, investigate.
The difficulty is that normal variance and genuine decay look similar at first. Predefine a threshold, for example, a drawdown 1.5 times the maximum backtest, or a rolling expectancy below zero for a set number of trades, that triggers a formal review.
The response may be to reduce size, adapt the rules, or retire the strategy.
Having more than one approach, and the willingness to research new ones, offers resilience.
Practical step: calculate the rolling expectancy of your last 50 trades, and write the level at which you will pause and review.