Proving an AI Trading Agent’s Order Was Executed
Detailed guide on the evidence required to confirm an AI‑driven trade execution, covering acknowledgements, market data, balances, and immutable logs.
Produced with automation, then checked by deterministic quality rules and an independent source-grounded review before publication.
- 01The venue’s order acknowledgement is the primary proof of execution.
- 02Timestamped market data must align with the reported fill price and size.
- 03Reconciliation of account balances with the venue confirms finality.
- 04Durable mutation identifiers differentiate timeouts from actual failures.
- 05Immutable, signed logs provide the strongest legal evidence of execution.
An AI trading agent’s order can only be trusted when you can prove it was truly executed. The most reliable evidence comes from the venue’s order acknowledgement, which includes a unique identifier, fill price, size, and precise timestamp. Complementary data such as market snapshots, balance mutations, and immutable logs complete the evidence chain.
What primary records confirm an order was filled?
The venue’s order acknowledgement is the first line of proof. It is an authenticated message that contains the order ID, executed quantity, execution price, and a timestamp sourced from the venue’s clock. Because the venue is the authoritative source for trade state, this record supersedes any internal logs.
- The order ID assigned by the venue.
- The executed quantity and price.
- The exact timestamp from the venue’s clock.
- The venue‑provided status code (filled, partially filled, etc.).
How does market data support execution verification?
Market data feeds must expose source attribution, timestamp, and freshness indicators. By comparing the execution price to a contemporaneous market snapshot, you can confirm that the fill occurred at the reported level and not at a stale or erroneous price.
- Source identifier (exchange or data provider).
- Timestamp matching the venue’s acknowledgement window.
- Depth‑of‑book or trade‑tick data covering the execution price.
- Warnings about data gaps or latency.
What role do account balance changes play?
After an execution, the account’s cash and position balances should reflect the trade. A durable mutation identifier, such as a transaction hash, links the balance change to the original order acknowledgement, creating a chain of evidence that survives system restarts.
- Pre‑trade balance snapshot.
- Post‑trade balance snapshot.
- Mutation identifier linking the two snapshots.
- Error codes if the balance update fails.
How can you distinguish a timeout from a failed order?
A timeout only indicates that the agent did not receive a response within a configured window. It does not prove the order was rejected or never sent. Therefore, you must query the venue’s order book or use a status‑check API to determine the true state.
- 01Record the timeout event with its duration.
- 02Immediately request the order status from the venue.
- 03If the venue reports no such order, treat the trade as not executed.
- 04If the venue reports a filled or partially filled state, reconcile as described above.
What immutable logs provide the strongest legal proof?
Signed receipts or logs stored in an append‑only ledger (for example, a blockchain or tamper‑evident database) create an immutable audit trail. Because these records cannot be altered without detection, they serve as the most defensible evidence in disputes.
- Cryptographic signature of the venue’s acknowledgement.
- Hash‑linked log entries for each state transition.
- Retention policy that preserves logs for the required period.
“A single source of truth, backed by immutable logs, turns operational uncertainty into verifiable confidence.”
By systematically gathering venue acknowledgements, timestamped market data, balance mutations, and immutable logs, you create a robust evidence chain that confirms an AI trading agent’s order was truly executed. This disciplined approach reduces operational risk and supports accurate post‑trade analysis. For related context, see What Evidence Confirms an AI Agent Trade Was Actually Executed?. For related context, see How an AI Agent Should Handle Partial Fills. For related context, see Proving an AI Trade Was Executed: A Practical Checklist.
Frequently asked questions
Treat the trade as unexecuted until you can retrieve a definitive status. Initiate a manual reconciliation by checking account balances and market data for any unexpected changes.
Yes, a partial‑fill acknowledgement is valid evidence, but you must track the remaining unfilled quantity and decide whether to resend or cancel the residual order.
Regular audits-at least monthly-help ensure that timestamps, signatures, and mutation identifiers remain consistent and that no gaps have emerged in the logging pipeline.
Internal logs may not reflect the venue’s authoritative state, especially during network outages or software bugs. Without external confirmation, you cannot guarantee that a reported fill truly occurred.
No. An emergency stop revokes the agent’s key but does not automatically close positions or revoke token allowances. Separate owner‑authorized actions are required to settle or unwind any remaining exposure.
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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A confirmable live account‑value figure relies on transparent market data, scoped ownership keys, explicit error handling, and systematic reconciliation. This guide explains each component and the remaining uncertainties.
Skipping a capability check can expose agents to stale prices, venue outages or policy breaches. Regular verification safeguards operations and capital.