Files
foxhunt/services
jgrusewski 940aae71b1 fix(trading_service): NaN/Inf guards in feature normalization
Add defensive checks to FeaturePreprocessor::normalize():
- Return 0.0 with warning log for NaN/Inf input values
- Clamp z-score output to [-10, 10] to prevent extreme values
- Add 4 unit tests covering NaN, Inf, -Inf, and extreme value clamping

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 10:24:07 +01:00
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