What Order States Should an AI Trading Agent Understand?
Explore the six core order states an AI trading agent must recognize, from pending to rejected, and learn safe handling, timeout reconciliation, and
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- 01An AI agent must distinguish between pending, active, filled, partially filled, cancelled, and rejected states.
- 02Each state transition should be verified against market data timestamps and source integrity.
- 03Owner‑authorized limits and scopes control how an agent can move between states.
- 04Error handling and timeout reconciliation are critical to avoid false assumptions about order outcomes.
- 05Separate keys for research and execution reduce the risk of unintended withdrawals or position changes.
An AI trading agent needs to recognize six core order states: pending, active, partially filled, filled, cancelled, and rejected. These states describe the lifecycle from when an order is created until it is settled or removed. Correctly interpreting each state lets the agent enforce risk limits, respond to market conditions, and maintain accurate accounting. Misreading a state can lead to unintended exposure or missed opportunities.
Why does an AI agent need to track each order state?
Tracking order states provides a clear picture of what the market has done with the agent’s intent. When an order is pending, the agent knows it has not yet reached the venue, so it can still adjust parameters within owner‑authorized limits. Once active, the agent must monitor fills and partial fills to respect daily notional caps and loss thresholds. If an order is rejected or cancelled, the agent should log the reason and possibly pause further activity until the issue is reviewed.
What are the core order states and their characteristics?
- The pending state indicates the order has been submitted but not yet acknowledged by the venue; timestamps and source data are essential.
- The active state means the order is live on the venue and may be filled; the agent must watch for partial fills.
- The partially filled state shows some quantity has been executed; remaining quantity stays active until filled or cancelled.
- The filled state confirms the full order quantity was executed; the agent should reconcile the trade against its account balance.
- The cancelled state occurs when the order is withdrawn before full execution; reasons may include owner limits or market conditions.
- The rejected state signals the venue refused the order, often due to validation errors or insufficient margin.
How should an AI agent handle timeouts and error states?
A timeout does not prove an order failed; the agent must query the venue for the latest state and reconcile any discrepancies. Explicit error codes help differentiate network issues from venue rejections. If the agent cannot determine the state, it should trigger an emergency stop that revokes the calling key and alerts the owner for manual review. This approach avoids assuming a silent failure and reduces the chance of orphaned positions.
When should an AI agent pause after repeated errors?
Repeated errors may indicate a systemic problem such as mis‑configured limits or data quality issues. The agent should count consecutive failures and, after a configurable threshold, enter a paused state that requires owner intervention. This pause protects capital while the underlying cause is investigated, acknowledging that automated recovery is not guaranteed.
How do owner‑authorized limits interact with order states?
Owner‑signed limits can restrict order size, daily notional, daily loss, and expiry. When an order moves from pending to active, the agent must verify that the remaining allowed notional has not been exceeded. If a partial fill pushes the daily loss close to its limit, the agent should automatically cancel any remaining active orders and pause further submissions. These controls are enforced at the key scope level and do not replace the need for manual oversight.
"An AI trading agent is only as reliable as its ability to correctly interpret each order state and act within the limits set by its owner."
For deeper insight into designing safe AI agents, explore related resources such as Essential Risk Limits Every AI Trading Agent Should Enforce, Why an AI Trading Agent Key Should Have an Expiry, and How an AI Agent Should Respond When an Order Request Times Out.
Frequently asked questions
Pending means the order has been submitted but not yet acknowledged by the venue; active means the venue has accepted the order and it can be filled.
The agent should query the venue for execution reports, compare timestamps, and reconcile the filled quantity with its account balance.
It should trigger an emergency stop that revokes the calling key, log the uncertainty, and alert the owner for manual review.
Separate keys ensure that read‑only research activities cannot inadvertently place or modify orders, reducing operational risk.
See the article on Essential Risk Limits for guidance on configuring owner‑signed limits.
Sources and verification
Product claims in this article were checked against these first-party references. Runtime status remains authoritative for current availability.
- Felix documentationfirst party
- Felix machine referencefirst party
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