What Should an AI Agent’s Money Map Include?
Learn the essential components of a money map for AI trading agents, covering capital allocation, risk limits, data verification, and reconciliation.
Produced with automation, then checked by deterministic quality rules and an independent source-grounded review before publication.
- 01The money map must define explicit capital allocation and ownership boundaries.
- 02Owner‑signed risk limits should cover order size, daily notional, loss caps, and expiry.
- 03Market data must be sourced, timestamped, and flagged for freshness before use.
- 04Separate keys are required for trading actions and withdrawal authorizations.
- 05Robust reconciliation processes are needed to confirm order status and position updates.
An AI agent’s money map should clearly outline how capital is allocated, what risk limits apply, how market data is validated, and how positions are reconciled. It serves as a blueprint that keeps the agent’s actions within the owner’s authorized scope while exposing the uncertainties inherent in live trading. For related context, see How to Audit an AI Trading Agent’s Decisions.
How Does Capital Allocation Fit Into the Money Map?
What defines the total capital available to the agent?
The first layer of the map identifies the total capital the agent may use and the specific owner key that controls those funds. Allocation is not a static figure; it can be adjusted by the owner through signed policy updates. The agent operates with a narrower key that inherits the owner’s limits, ensuring it cannot exceed the allocated amount. This separation protects the owner’s broader portfolio while allowing the agent to act within a well‑defined budget.
What Risk Limits Must Be Embedded?
Which limits are most critical for daily operation?
Risk limits are the core safeguards that prevent runaway exposure. Owner‑signed limits can include maximum order size, daily notional exposure, daily loss caps, and expiry timestamps. Each limit is enforced at the point of order creation, but the agent must also handle cases where limits are approached or breached, which may require pausing activity or alerting the owner. By encoding these thresholds directly in the money map, the agent can make deterministic decisions without relying on external heuristics.
- Maximum order size per trade
- Daily notional exposure ceiling
- Maximum daily loss amount
- Expiration time for active policies
- Additional custom fields defined by the owner
How Should Market Data Be Verified?
What checks guarantee data integrity?
Accurate market data is essential for any decision. The money map must require the agent to check the source, timestamp, and freshness of each quote. Missing or stale data should trigger a warning and prevent order placement until a fresh, verified quote is obtained. The agent should also record any data warnings in its audit log for later review. For guidance on verification, see How an AI Agent Can Verify Market Data Before Placing an Order.
How Are Positions and Orders Reconciled?
What process ensures order‑fill consistency?
Because timeouts do not guarantee order failure, the agent must maintain durable mutation identifiers and explicit error states. Reconciliation involves matching order IDs with fills and updating position records accordingly. Any discrepancy should be logged and escalated for owner review. Detailed reconciliation steps are described in How an AI Agent Can Reconcile Orders, Fills, and Positions. This systematic approach reduces the risk of silent mismatches that could distort risk calculations.
What Happens When Errors Accumulate?
When should the agent pause trading?
Repeated errors may indicate connectivity issues, data problems, or policy violations. The money map should define a pause threshold that temporarily revokes the trading key, allowing the owner to investigate. This pause does not automatically close positions or revoke token allowances; those actions require separate owner decisions. By codifying a clear pause rule, the system avoids cascading failures while preserving the ability to resume once the issue is resolved.
How Do Owner and Agent Keys Interact?
Why keep withdrawal authority separate?
The owner key holds full control, including the ability to set limits and approve withdrawals. Agent keys are scoped to trading actions only and cannot initiate withdrawals. Withdrawal requests must be signed separately by the owner, ensuring a clear separation of duties. This design prevents a compromised trading key from moving funds without explicit owner consent.
A well‑designed money map treats every step-allocation, limits, data, and reconciliation-as a checkpoint that can fail, and it provides a clear path for recovery.
- 01Define total capital and owner key
- 02Set owner‑signed risk limits
- 03Implement data source and freshness checks
- 04Create durable identifiers for orders and fills
- 05Establish pause rules for repeated errors
Frequently asked questions
It ensures that even if a trading key is compromised, an attacker cannot move funds without the owner’s explicit signature.
No. Trading always carries the risk of losing the allocated capital, and the map only mitigates, not eliminates, that risk.
The agent should reject the quote, log a warning, and wait for a fresh data point before proceeding with any order.
Regular review is advisable, especially after significant market moves or changes in strategy, to ensure limits remain appropriate.
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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