Slippage beyond the stop
A stop-loss order doesn't guarantee execution at the exact stop price.
A plan that works under normal conditions can still fail under a gap, a losing streak, a liquidity dry-up, or a correlation breakdown. Stress testing finds the quiet assumptions before real conditions do.

Stress testing applies severe but plausible scenarios to a plan before capital is exposed, asking how gaps, liquidity loss, correlation spikes, or system failures change the risk boundary.
Teaching scenario: account equity is 20,000 and normal planned loss is 200. Each shock has an explicit incremental-loss assumption. These are stress inputs, not forecasts. Stack shocks and watch a planned 1% risk expand.
A stress test is not a prediction of which disaster will happen. It exposes the execution, liquidity, diversification, and platform assumptions hidden inside a normal risk number. An intolerable scenario should change size, product choice, or contingency rules before entry.
A black swan gap tests whether sizing accounts for slippage beyond the stop. A losing streak tests whether the account survives compounded drawdown. A liquidity dry-up tests whether execution assumptions hold under worse-than-normal conditions. A correlation breakdown tests whether assumed diversification actually holds during a crisis.
A stop-loss order doesn't guarantee execution at the exact stop price.
Consecutive losses shrink an account faster than simple addition suggests.
Switch between a black swan gap, a losing streak, a liquidity dry-up, and a correlation breakdown, and read what each one tests for.
A sudden, large price gap that jumps past a stop-loss level without trading through it. Tests whether position sizing accounts for potential slippage beyond the intended stop, not just the stop distance itself.
A run of losing trades in a row, even while the system's rules are followed exactly. Tests whether the account can survive the compounded drawdown from a losing streak without abandoning the plan.
A period where the market becomes much harder to trade at a reasonable price than usual. Tests whether the execution plan accounts for a wider spread or a harder time exiting than normal conditions suggest.
Multiple positions that were assumed to be diversified all move against the trader at once. Tests whether position sizing accounted for the possibility that assumed diversification doesn't hold during a stress event.
A backtest covered in an earlier module checks how a system performed historically under whatever conditions actually occurred. Stress testing deliberately constructs a plausible but adverse scenario — an unusually long losing streak, an unusually large gap — and checks whether the system, and the account behind it, survives it.
Pick a case and judge what the described stress test reveals about the system being tested.
A trader's stop-loss is set at a specific price, but a stress test reveals that a plausible overnight gap could skip past that price entirely. This shows the system needs to account for potential slippage beyond the stop, not just the stop distance under normal conditions.
A trader stress-tests their system against a hypothetical streak of eight consecutive losses and confirms the account could survive the compounded drawdown. This is a reasonable use of stress testing, since it checks survivability under a plausible adverse scenario, not just average conditions.
A trader holds several positions assumed to be uncorrelated, but a stress test shows they could all move against the trader at once during a crisis. This reveals a risk the trader's position sizing didn't account for, since assumed diversification can break down exactly when it matters most.
| Stress test can | Stress test cannot |
|---|---|
| Expose sensitivity | Predict the next market event |
| Compare assumptions | Prove an untested process is safe |
Would a plausible overnight gap skip past the planned stop?
Would the account survive a longer-than-typical losing streak?
Would execution still work under a wider-than-usual spread?
Would assumed diversification hold during a broad market stress event?
Gaps, streaks, liquidity, and correlation each test something different.
Not average performance, but resilience under a plausible bad case.
A large gap can produce slippage beyond the planned stop.
Submit your answers to see detailed explanations.
Describe your system's rules and position sizing, and Mira can help you think through a gap, streak, liquidity, or correlation scenario — it won't guarantee your system survives any specific real-world event.
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Understand drawdown as the decline from a peak to a subsequent trough, calculated relative to that prior peak, and understand that tolerable drawdown is determined jointly by what the money is for and psychological tolerance — strategy risk must match what's actually tolerable.
Understand that portfolio heat is a simple sum of the planned risk budget across all currently open trades (divided by account equity); a new trade consumes that budget; heat is a simplified metric, not a maximum-loss guarantee.