Enterprise AI trading software
What enterprise means in this context
It rarely means more features. It usually means the software can be explained to somebody who was not in the room when it was chosen: a risk officer, an auditor, a partner, a regulator. The requirements that follow are mostly about evidence and control, not capability.
Audit and control
Auditability comes first
A system that trades without human approval has to be able to account for itself afterwards. That means a durable record of every decision, including the ones where it declined to act, with enough context to reconstruct why.
Ask whether refusals are recorded. Most systems record trades, because trades have to be recorded anyway. Recording what was considered and rejected is a deliberate design choice, and its absence tells you the system cannot explain its own restraint.
Ask whether changes the system makes to itself carry a record of what changed, why, and what evidence supported it. Self modifying software without receipts is not auditable, whatever else it is.
Controls that nothing may weaken
In an autonomous system, the important question is not what the controls are but what can move them. There should be a set of protections that no part of the software, including any automated tuning, is permitted to alter.
At minimum that set should contain the daily loss limit, the mechanism that flattens everything immediately, the requirement that protective orders rest at the broker rather than in memory, and the refusal to trade when preflight checks fail. If any of those can be widened by the software's own optimisation, the control is decorative.
Reconciliation to the broker of record
Internal records drift from the account. Positions close overnight, somebody intervenes manually, a process is restarted. Any system that reports its own performance from its own database is reporting its intentions.
Require that realised results are rebuilt from the broker's own record, and that the software reconciles positions and protective orders against the account before it is allowed to trade again after any interruption.
Deployment and procurement
Deployment and data residency
Ask where the software runs and where the data sits. Software running on hardware you control, with a local datastore and no outbound telemetry, answers most data questions before they are asked. Anything that ships trading data to a vendor cloud will need a longer conversation with whoever owns your data policy.
Ask what network access it requires. The correct answer is outbound only, to the broker and its data sources, with nothing listening for inbound connections.
Procurement questions worth asking early
Who supplies the brokerage account and holds the capital. What the software does when its data feed degrades. Whether live and paper are separated by more than a setting. Whether source is available and on what terms. What the vendor's continuity plan is. How long an evaluation may run and whether it is the full product.
The answers to those six will tell you more than any feature list.
Separation between evaluation and production
Paper and live should not be a single setting on one installation. The safest arrangement keeps them separate enough that no ambiguous state exists, with separate records, so that a test run cannot contaminate the account of record.
Ask how the software distinguishes them and what prevents the wrong one from being selected. This is a question that has cost people real money.
Operating it over time
Change control on a system that changes itself
If any part of the software tunes its own behaviour, that is a change to a production system and should be treated as one. What changed, when, on what evidence, and what would reverse it.
Any adjustment the software cannot explain afterwards is a change nobody approved, and that is difficult to defend to anyone reviewing the operation later.
Continuity
Ask what happens if the vendor stops trading. Source held under a licence, or in escrow, is the usual answer. Without one, an operational dependency has a single point of failure that no amount of internal process can mitigate.
Testing and evidence of correctness
Ask what the automated test suite covers and how large it is relative to the codebase. For a system handling money, tests are not a quality signal, they are the only evidence anyone has that the thing behaves as described.
Ask in particular whether costs and fees are covered. The failure mode where software believes a losing trade is profitable, because it never modelled its own costs, is common and expensive.
What to require in writing
The controls that cannot be altered by the software. Where credentials are stored. Where trading data resides. What network access is needed. What the software does on degraded data. The continuity arrangement if the vendor stops trading.
Those six make up most of what an internal review will ask, and having them documented before the review starts shortens it considerably.
Common questions
- What makes trading software enterprise grade?
- Usually not features. It is whether the software can be explained to a risk officer or an auditor: a durable record of every decision, controls nothing can weaken, and reconciliation to the broker of record.
- Should the software record what it refused?
- Yes. Recording trades is unavoidable. Recording what was considered and rejected is a deliberate design choice, and its absence means the system cannot explain its own restraint.
- Where should trading data live?
- On infrastructure you control, with no outbound telemetry, unless you have a data policy that permits otherwise. Ask what network access is required, and expect the answer to be outbound only.
TradeAgentic is an autonomous trading desk for macOS, with a Windows build on request, licensed to operators and firms who intend to run it themselves.
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