AI Infrastructure for Trading Systems

lesson 5 of 5

Governance, guardrails and human oversight

Automated systems make decisions faster than people can review them. Governance is the set of controls that keeps those decisions inside limits a human has chosen, and makes every one of them traceable afterwards.

Guardrails

  • Pre-trade risk checks: every order is checked against limits on size, price and exposure before it is sent.
  • Position and loss limits: hard caps that the system cannot exceed, set independently of the model.
  • Kill switches: a single, tested action that stops all automated activity immediately.
  • Rate limits: caps on how many orders can be sent in a period, to stop runaway loops.

Accountability

  • Audit trails: a complete record of inputs, model version, output and action for every decision.
  • Reproducibility: the ability to rerun any past decision with the same data and code and get the same result.
  • Model registries: a catalogue of every model version, who approved it and when it was deployed.
  • Explainability: enough insight into why a decision was made to judge whether it was reasonable.

Human in the loop

The most robust trading systems keep a person responsible for the parameters, the limits and the decision to keep running. Regulators in many jurisdictions expect firms that run automated trading to maintain controls of this kind. For individual traders the principle is the same: automation should extend your judgement, never replace your responsibility for it.

Educational content only. Not financial or legal advice. Check the rules that apply to you with a qualified professional.