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Five Common Silent Bugs That Cause On-Chain RWA Trading Bots to Fail

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On-chain trading bots built for real-world asset (RWA) markets often fail quietly rather than catastrophically, according to a developer's analysis on DEV Community. The five recurring failure modes identified include acting on stale reference data, ignoring session gaps, misreading corporate actions as trading signals, underestimating execution friction, and lacking data-source fallbacks. Each issue stems from a shared root cause: trusting data inputs before validating the underlying signal. The author notes that some platforms, such as HyperBasis, address several of these vulnerabilities through built-in staleness flags, session handling, and corporate-action normalization. The piece is aimed at developers building or maintaining automated trading systems in the RWA space.

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Five Common Silent Bugs That Cause On-Chain RWA Trading Bots to Fail · ShortSingh