A trading-system review should prove that the implementation matches the stated rules and handles the operating environment. Clean formatting is useful, but correctness depends on data timing, state, order lifecycles, platform assumptions, and recoverability.
Requirements and traceability
- Can every entry, exit, filter, and risk rule be traced to a written requirement?
- Are undefined cases documented instead of filled with developer assumptions?
- Are platform, account, session, symbol, and data dependencies explicit?
Data and timing
- Is each value available at the moment it is used?
- Are time zones, sessions, missing data, warm-up periods, and additional series handled?
- Can historical, playback, and real-time event ordering produce different decisions?
State and orders
- Are working, partial, filled, cancelled, rejected, and unknown order states handled?
- Can strategy position and account position become unsynchronized?
- Are retries idempotent, and can duplicate messages create duplicate orders?
Risk and failure behavior
- Are quantity, loss, activity, and permitted-instrument limits enforced independently of signal logic?
- What happens during a disconnect, restart, stale feed, broker rejection, or unavailable dependency?
- Is there a manual stop, safe mode, and controlled recovery path?
Tests and observability
- Do tests cover expected behavior, boundary cases, and failures?
- Do logs explain decisions without exposing credentials or sensitive data?
- Can an operator detect, diagnose, and reconcile a problem quickly?
Security and maintenance
- Are passwords, keys, tokens, and account details excluded from source and logs?
- Are dependencies, permissions, deployment steps, and rollback documented?
- Can another qualified developer understand and maintain the system?
The fixed-price AI-Built Trading System Audit applies these questions to AI-assisted or conventional code. Review the broader consulting options when the main issue is platform choice, feasibility, or requirements.
Risk note
A code review is advisory and cannot certify profitability, regulatory compliance, safety, or future live behavior. System owners remain responsible for testing and operation.