Fast answer
AI crypto auto-trading risk checks cover API permissions, leverage, kill switches, monitoring, account scope, and loss limits.
Before enabling auto-trading, record API permissions, withdrawal status, subaccount scope, max leverage, max position size, stop rules, cooldown rules, monitoring owner, alert route, and shutdown process.
A signal service should not need withdrawal access to execute trades.
Automation checks
What to inspect before turning on AI auto-trading.
Permissions
Confirm trading-only keys, no withdrawal permission, IP restrictions, and subaccount isolation where possible.
Loss limits
Set max daily loss, max trade loss, max leverage, max exposure, and forced cooldown rules.
Monitoring
Define who watches rejected orders, liquidation risk, API errors, and stale signals.
Shutdown path
Know how to revoke keys, close positions, pause alerts, and export logs quickly.
Source context
FINRA warns that auto-trading can cause significant losses before investors realize transactions occurred.
CSR applies that risk to crypto account linking, where leverage and API-key scope can turn a bad signal into rapid damage.
Review standard
A reviewable auto-trading setup limits what automation can do.
For CSR evidence review, auto-trading records should include API scope, account scope, leverage cap, position cap, stop rules, monitoring route, error logs, revocation process, and post-trade reconciliation.