LetItBe

gsuda-engine is a provenance-first self-evolving trading loop for Korean equities. It solves a practical problem in trading agent design: generated rules should not be deployed blindly. The system logs simulated trade recommendations with full feature vectors, tracks T+5 outcomes, clusters failed trades, drafts candidate suppression rules, and then validates each rule before Risk Guardian can load it. The project is built from what I know: 23 years operating Korean securities systems and 13 years studying Saju / Yeokhak. Saju is not treated as fortune-telling or price prediction. Instead, original Hanja-based Saju fields are preserved as domain-informed categorical features that must be tested empirically. In the demo, one candidate rule is promoted to skills/active after passing validation, while another is quarantined because it damages too many winning trades. The broader local research warehouse covers Korean equities from 1995 to 2026, with 11M+ enriched rows and 2,700+ stocks. Core principle: Claude drafts. Data validates. Risk Guardian deploys.