fund-r9alpha-evaluation
CommunityGenerate R9Alpha fund evaluation reports instantly.
Finance & Accounting#report generation#investment research#risk metrics#fund analysis#fund evaluation#r9alpha#east money
Authorr9412460971-cloud
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Investment researchers and fund analysts waste hours manually compiling scattered fund data, standardizing reports to R9Alpha's 10-dimension evaluation framework, and calculating complex risk/performance metrics for fund due diligence and client recommendations.
Core Features & Use Cases
- Multi-source Data Aggregation: Automatically pulls local fund holdings, risk metrics, and research memos, and fills missing data from public East Money fund pages.
- Standardized Report Generation: Produces both R9Alpha-compliant Excel evaluation drafts and structured Markdown deep analysis reports with 10-dimension scoring, SWOT analysis, and investment recommendations.
- Automated Metric Calculation: Computes core risk and performance indicators (Sharpe ratio, Sortino ratio, max drawdown, recovery days, monthly win rate) directly from raw NAV data.
- Use Case: A fund analyst needs to evaluate a new active equity fund for a high-net-worth client recommendation. This skill reduces report generation time from 4 hours to 10 minutes by auto-populating all required metrics and formatting per R9Alpha standards.
Quick Start
Use the fund-r9alpha-evaluation skill to generate a full R9Alpha evaluation report for fund code 519702, using the local template at ~/Desktop/基金评价底稿.xlsx and fetching missing data from East Money.
Dependency Matrix
Required Modules
requestspandasnumpyopenpyxlbeautifulsoup4
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fund-r9alpha-evaluation Download link: https://github.com/r9412460971-cloud/OPC-skill/archive/main.zip#fund-r9alpha-evaluation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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