Essential Risk Limits Every AI Trading Agent Should Enforce
Learn the core risk limits-order size, daily notional, loss caps, expiry, and policy scopes-that protect capital when deploying an AI trading agent.
Produced with automation, then checked by deterministic quality rules and an independent source-grounded review before publication.
- 01Owner‑signed limits define maximum order size, daily notional exposure, and daily loss caps for an agent.
- 02Scope‑restricted agent keys prevent unauthorized withdrawals and limit actions to intended policies.
- 03An emergency stop revokes the calling key but does not automatically close positions, requiring owner review.
- 04Market data must include source, timestamp, and freshness warnings to avoid decisions based on stale or missing information.
- 05Backtests are read‑only; they cannot change balances or place orders, so live limits remain essential.
Every AI trading agent should operate under a defined set of risk limits that constrain order size, daily exposure, loss tolerance, and operational scope. These limits are enforced by owner‑signed policies and scoped agent keys, ensuring that the agent cannot exceed the boundaries set by the fund owner.
What are the core risk limits an AI trading agent needs?
- The maximum order size per trade, preventing outsized positions.
- The daily notional limit, capping total trade value across a day.
- The daily loss limit, stopping activity once losses exceed a threshold.
- The expiry or time‑bound limit, ensuring the agent stops after a predefined period.
- The policy scope limit, restricting the agent to specific asset classes or strategies.
How does an owner‑signed limit work in practice?
The fund owner creates a signed policy that encodes numeric thresholds for each limit. The trading platform validates every order against these thresholds before signing a transaction. If an order would breach a limit, it is rejected, and the agent receives an explicit error state.
A signed limit is the only reliable gatekeeper; it cannot be overridden by the agent’s internal logic.
Why are scoped agent keys critical for safety?
Agent keys are derived from the owner key but carry narrower authorizations. They can place orders within the signed limits but cannot initiate withdrawals or modify the owner’s policy. This separation ensures that even if an agent is compromised, the attacker cannot move funds out of the account.
When should an AI trading agent be paused or stopped?
If the agent repeatedly encounters explicit error states-such as limit breaches or data‑quality warnings-an emergency stop can be triggered. The stop revokes the calling key, halting further order submissions. However, existing positions remain open and must be reviewed by the owner.
- Consecutive limit violations indicate a mis‑configured strategy.
- Stale market data warnings suggest the feed may be unreliable.
- Unexpected timeouts do not prove order failure; reconciliation is required.
How can market data quality affect risk limits?
Accurate risk enforcement depends on trustworthy market data. Each data point must include its source, timestamp, and any freshness warnings. Missing or unverified price information should never be treated as zero, as that could cause the agent to submit extreme orders that breach limits.
What steps should owners take to configure limits safely?
- 01Define clear numeric thresholds for order size, daily notional, and daily loss based on capital allocation.
- 02Create a signed policy document that includes these thresholds and any expiry dates.
- 03Generate an agent key with the policy scope that matches the intended strategy.
- 04Test the configuration in a read‑only backtest environment to verify limit enforcement.
- 05Monitor runtime status via the platform’s status endpoint and adjust limits as needed.
For a deeper dive into building robust controls, see Felix documentation and the related guides: How to Build an AI Trading Bot with Robust Risk Controls, When Should an AI Trading Agent Pause After Repeated Errors?, and How to run an AI trading agent with real‑money controls.
Frequently asked questions
No. The emergency stop revokes the calling key but does not automatically close positions. The owner must review and act on any remaining exposure.
Signed limits cap exposure and loss within defined thresholds, but they cannot prevent losses that occur within those limits. Capital can still be fully lost.
The agent should treat missing data as a warning and refrain from placing orders that depend on that data, rather than assuming a zero price.
No. Scoped keys are cryptographically bound to the owner‑signed policy, and they cannot sign withdrawal transactions or modify the policy without additional owner authority.
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
Build with Felix now.
Felix infrastructure is live through MCP and the API. The full trading app launches September 17.
AI agents can automate the research and management of options strategies by integrating market data, applying risk controls, and handling execution nuances. This article explains the process, key considerations, and practical steps.
Learn how an automated perpetual futures strategy moves from signal generation to order placement, risk controls, and monitoring, while understanding the inherent uncertainties and operational safeguards.