Limit Order

Overview

Limit Order is an instruction to buy no higher than a specified price or sell no lower than a specified price, subject to available liquidity and order rules. It controls the worst acceptable price but does not guarantee that the order will execute or fill completely.

Limit Order is closely connected to Limit Order Book, Stop-Limit Order, and Average Fill Price. These concepts can appear in the same workflow, but they represent different records, decisions, controls, or stages.

When Limit Order informs a trade, payment, or treasury decision, teams should retain instrument, side, quantity, order type, limit or trigger conditions, venue, timestamps, fills, fees, and final status. Each update should have an effective time and source, allowing later events to amend the position without erasing the earlier state.

Limit Order can appear in the same workflow as Limit Order Book, Stop-Limit Order and Average Fill Price, but the records should remain separately identifiable. A relationship between them does not prove that pricing, execution, settlement, custody, or accounting has completed.

For Limit Order, the central operating question is whether the stated result can be reproduced from the underlying evidence. In this case, it controls the worst acceptable price but does not guarantee that the order will execute or fill completely. That evidence should remain available after corrections, later settlements, or revised market data arrive.

Teams applying Limit Order should retain instrument, side, quantity, order conditions, venue, timestamps, fills, cancellations, and final status. A further point from the source definition is that in production, teams should define the authoritative record, identifiers, ownership, lifecycle rules, and evidence used to confirm the outcome. These fields help distinguish an expected timing difference from a real pricing, execution, liquidity, or settlement break. This added control specifically concerns an instruction to buy no higher than a specified price or sell no lower than a specified price, subject to available liquidity and order rules.

Relevant failure modes include stale market data, incorrect triggers, duplicate submission, price gaps, partial fills, venue rejection, and inconsistent cancellation. Controls should compare expected and actual outcomes, use documented tolerances, and assign unresolved differences to a named owner with the original event and corrective action preserved. The record-level focus here is an instruction to buy no higher than a specified price or sell no lower than a specified price, subject to available liquidity and order rules.