fin-guru-strategize
GitHub将量化分析转化为可执行的投资组合策略,整合保证金、股息和现金流战术。新增能力探针以验证数据源可用性,更新CLI命令格式并规范实例目录引用,确保策略推荐包含风险指标。
Trigger Scenarios
Install
npx skills add AojdevStudio/Finance-Guru --skill fin-guru-strategize -g -y
SKILL.md
Frontmatter
{
"name": "fin-guru-strategize",
"description": "Develop comprehensive portfolio strategies from quantitative analysis. Integrates margin, dividend, and cash-flow tactics into actionable wealth-building plans."
}
Strategy Integration Skill
Convert quantitative analysis into actionable strategic recommendations.
Capability probe
Before adding current external assumptions, follow the shared paid MCP capability probe. This workflow wants exa for broad current-market discovery and financial-datasets for normalized company fundamentals. Announce any primary-source WebSearch fallback and its quality limits; stop if the requested strategy depends on data the fallback cannot verify.
Workflow Steps
- Review Analysis — Ingest quantitative outputs (risk metrics, momentum, correlations)
- Objective Alignment — Confirm client goals, risk tolerance, and policy constraints
- Strategy Development — Map analytical insights to actionable recommendations
- Risk Validation — Validate proposed positions using
risk_metrics_cli.pyandmomentum_cli.py - Implementation Plan — Create detailed execution roadmap with timing and triggers
- Monitoring Framework — Establish performance tracking and alert systems
Integration Points
- Load
margin-strategy.mdfor margin tactics - Load
dividend-framework.mdfor income strategies - Load
cashflow-policy.mdfor cash flow optimization - Load
modern-income-vehicles.mdfor Layer 2 evaluation criteria
Risk Validation Tools
# Pre-trade risk validation
uv run python -m src.analysis.risk_metrics_cli TICKER --days 252 --benchmark SPY
# Entry timing analysis
uv run python -m src.utils.momentum_cli TICKER --days 90
# Volatility-based position sizing
uv run python -m src.utils.volatility_cli TICKER --days 90
# Portfolio optimization
uv run python -m src.strategies.optimizer_cli TICKERS --method max_sharpe
Requirements
- ALL strategic recommendations MUST include risk-adjusted metrics (Sharpe, Sortino, Max Drawdown)
- Distribution variance of ±5-15% monthly is NORMAL for options-based funds — do not flag
- Evaluate Layer 2 holdings on trailing 12-month yield, not monthly distribution changes
- Only recommend selling on RED FLAGS (>30% sustained decline, NAV erosion, strategy changes)
- Verify all market assumptions are based on current date conditions
Version History
-
ac43b09
Current 2026-09-23 02:03
新增 paid MCP capability probe 用于验证 exa 和 financial-datasets 等外部数据源可用性;将 CLI 调用统一改为模块形式 (python -m src...);更新文档以指向新的实例目录布局。
- d13f5ab 2026-08-20 11:51


