Why a Stop-Loss Does Not Cap Realized Loss
Separate planned triggers from the fills that determine loss during gaps and stress.
Key takeaways
- Document trigger and order type.
- Model slippage and non-fill.
- Audit realized fills.
Why a Stop-Loss Does Not Cap Realized Loss: the decision context
A stop defines a trigger and released order, not a reserved counterparty. Verify the reference price and resulting order type.
Stop-market orders can slip across levels, while stop-limits can remain unfilled. Fill records show which risk actually occurred.
What evidence deserves attention
Latency, outages, price bands, and liquidation can alter execution. Determine whether the instruction is client-side or hosted by the venue.
A repeatable review workflow
Inspect a historical gap by pairing the stop trigger log with every resulting fill, then compute realized loss from the weighted fill price rather than the trigger. Repeat the sizing calculation under modest slippage, a severe gap, and no immediate fill.
Limits, failure modes, and risk
Model several exit prices and an unfilled state before sizing. Scenarios remain limited because future gaps and available liquidity are unknowable.
Historical gaps do not bound future ones, and candle data cannot reconstruct intrabar ordering or available liquidity. Exchange outages, price protections, client disconnections, and forced liquidation may override the intended stop workflow.
Frequently asked questions
What is the first thing to distinguish in Why a Stop-Loss Does Not Cap Realized Loss?
Start with this article's central checkpoint: Document trigger and order type. Then verify the definition and scope against the cited sources.
How can I check Why a Stop-Loss Does Not Cap Realized Loss in practice?
Use the worked procedure in the article and keep these two checks together: Model slippage and non-fill. Audit realized fills.
What is the most important limitation?
Stops are instructions, not insurance; actual loss can exceed the plan or remain open.
How this article was prepared
This educational article was prepared with AI assistance, then reviewed editorially for clarity and checked against the cited source material.