get_structure_calibration

io.github.wnsod/oneqaz-trading-mcp · Verify this server

Purpose: Level 2 (ETF / basket / sector granularity — Level 1 is individual symbols) prediction calibration. Returns hit_rate_ema per (market, group, interval, regime_bucket) with sample counts. Proves systematic edge at the sector-rotation level. Triggers (casual questions too): "how good are your sector calls?", "섹터 예측 잘 맞아?", "sector rotation accuracy?", "그룹 단위 적중률 보여줘", "can you time sector moves?". When to call: when an AI wants to see Layer D evidence (Layer D = sector-structure tier of the 5-layer trust pyramid). Prerequisites: none. Next steps: get_structure_validation_history for the daily trend. Caveats: empty until structure-learning cycles complete. Args: market_id: Optional market filter (crypto, kr_stock, us_stock) group_name: Optional group/sector filter (e.g., layer1, defi, sector, broad_index) Disclaimer: Information only, not investment advice.