Fail-Open, Not Fail-Closed: The Modern Approach to Resilient AI Trading

AI trading systems must fundamentally rethink their approach to failure. While traditional fail-closed patterns protect against catastrophic losses, they create new risks—liquidity traps, missed trading opportunities, and cascading failures. This analysis reveals how modern trading systems achieve true resilience through fail-open architectures, where tiered model fallbacks and asymmetric data validation enable graceful degradation rather than system-wide shutdown, ultimately protecting both capital and opportunity.