How a Python Leverage Validator Broke AI-Parsed Chinese Trading Signals

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A trading automation system built on Telegram signal parsing used a Python validator to cross-check AI-extracted values after the AI was found to hallucinate leverage figures in some cases. When a Chinese-language signal for QNT futures arrived containing '50x', the AI parser correctly identified the leverage, but the regex-based validator only recognized English and Russian leverage keywords and missed the Chinese-formatted value entirely. Because the validator found no explicit leverage in the raw text, a downstream defensive layer stripped the AI's correct result, treating absence of proof as proof of absence. The flaw stemmed from the validator being designed around Latin and Cyrillic scripts, leaving it blind to Chinese trading notation despite the signal being written in standard format. The incident illustrates how verification layers added to catch AI errors can themselves introduce critical bugs when their own assumptions are too narrow.

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