AI TRADING · SAFETY AND SYSTEMS
Risk Controls for AI Trading Agents
Deterministic risk controls for agent-generated trading decisions.
Short answer. A safe AI trading agent is a bounded workflow, not an unrestricted model with a broker credential. Separate observation, research, reasoning, risk, approval, execution, reconciliation, and audit, and make the execution boundary deterministic.
Reference workflow
Validate instrument, price, quantity, exposure, permissions, freshness, and loss limits before execution.
Persist the policy revision and reason codes.Analysis permission is not execution permission. Tools should declare their data scope, account scope, environment, allowed instruments, limits, expiry, and audit requirements.
Production controls
- Use scoped credentials and read-only defaults.
- Require deterministic validation before any order command.
- Enforce maximum order size, allowed venues, daily loss, and rate limits.
- Support dry-run, paper, demo, and testnet environments.
- Persist the prompt or decision revision, evidence, policy result, approval, and provider receipt.
- Fail closed on stale data, missing mappings, expired approvals, or unknown execution states.
Sources
Last verified: 2026-09-28. Provider capabilities can change by region, account, product, environment, and entitlement; verify the linked official documentation before production use.