Imagine two traders. Both average 12% annually over ten years. Trader A gets the bad years first — down 35%, down 28%, then recovers. Trader B gets the good years first. Trader A, withdrawing $2,000 per month throughout, runs out of capital in year seven. Trader B retires comfortably. Same average return. Opposite outcomes. That is sequence of returns risk in one paragraph.
The mechanism is ruthless arithmetic. A 35% drawdown requires a 54% gain just to break even. When losses arrive early and withdrawals continue simultaneously — whether cash withdrawals or losses from active trading — the account balance shrinks faster than the percentage recovery can compensate. The sequence of individual returns matters as much as their average, and most traders never model this.
The practical translation for active traders is position sizing. Risk 2% per trade on a $100,000 account and a ten-loss streak — entirely normal in a 45% win-rate system — reduces equity to $81,707. Risk 5% per trade and that same streak leaves $59,874. The damage is not linear; it is exponential. Early in a drawdown sequence, oversized positions accelerate the hole. The account never gets the runway to recover.
Three rules address this directly. First, cap risk per trade at 1–2% of current equity — not starting equity — so position size shrinks automatically during drawdowns. Second, implement a circuit breaker: if the account drops 15% from peak, halve position size until a new high is reached. Third, stress-test any system against historical worst-case sequences before live deployment. Resources covering the underlying maths include Investopedia's sequence risk explainer, the Wikipedia article on drawdown in economics, and Investopedia's Kelly Criterion overview for position-sizing frameworks built to survive bad sequences.
Sequence risk does not care about your long-run expectancy. It only cares what you do when the bad runs arrive first.
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