Owl Fund Multi-Category Professional Diagnosis
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About this skill
Problem
Fund diagnosis often uses one template for all fund types, so bond credit and duration risks, FOF penetration and fee structures, QDII FX and cross-border fee exposure, and quant factor exposure are underexpressed. This skill addresses that by generating type-aware HTML diagnostic reports instead of a single return curve.
How It Works
- Five templates: equity/hybrid, bond, FOF, QDII, and quant, with dedicated blocks such as
E1 cross-period split,B0 diagnosis + operation analysis + B1-B4,F1-F3 penetration/fees/scorecard,D1-D2 FX/fee risk, andQ1 factor exposure. - PB-BAND chart: equity/hybrid uses full-history
nv/pbsampling, mean ±σ/±2σ bands, switch marks, manager start date, and current PB percentile. - Data path: guest access can use REST profiles; VIP access unlocks MCP tools for FOF penetration, QDII FX, quant style factors, and six-dimensional bond risk.
- Output: generates
{code}_professional_diagnosis_{timestamp}.htmlwith embedded ECharts for offline review.
Boundaries
It depends on owl-portfolio.com MCP/REST endpoints; local fallback is needed when public SSE is unstable. API key, JWT, fund code validation, and HTML escaping are key security controls. Missing MCP data can fall back to REST, while locked VIP sections appear until login.
Use Cases
- Equity/hybrid fund analysts generate PB-BAND charts and return contribution splits.
- FOF teams prepare due diligence materials with penetration, fee, and scorecard blocks.
- QDII reviewers document FX adjustment and cross-border fee risk in one report.
- Quant researchers explain style drift and R-squared fit using factor exposure blocks.
Best For
- Fund analysts who need type-specific diagnostic templates and offline HTML records.
- FOF/QDII product operators who organize fee penetration and cross-border risk notes.
- Quant researchers who validate factor exposure, style, and fit quality in reports.
- Advisory support staff who need VIP gating and data fallback notes for client reports.
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