fund-analysis

Analyze mutual funds and ETFs using quantitative risk and performance metrics.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill fund-analysis-daddyelonmusk69
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fund-analysis
Source: https://github.com/DaddyElonMusk69/motis-agent/tree/main/skills/finance/fund-analysis
Command: npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill fund-analysis-daddyelonmusk69

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Investors and portfolio managers struggle to evaluate mutual funds, ETFs, and private funds comprehensively, often missing hidden risks, style drifts, and manager performance issues that can erode returns.

Core Features & Use Cases

  • Multi‑metric performance assessment: Calculates annualized returns, alpha, Sharpe, Sortino, information ratio, Calmar, and other risk‑adjusted metrics.
  • Style and drift analysis: Performs Sharpe style box regression, R² validation, and rolling‑window drift detection to ensure declared styles match actual holdings.
  • Manager evaluation: Scores fund managers on excess returns, risk control, turnover, and concentration, highlighting consistent over‑performers.
  • ETF selection framework: Screens ETFs for tracking error, fees, liquidity, and size to pick efficient passive products.
  • FOF portfolio construction: Guides multi‑asset allocation, fund selection, rebalancing rules, and monitoring alerts for a diversified fund‑of‑funds strategy.

Use Case: An investment analyst needs a one‑page report that ranks a list of domestic equity funds, flags any style drift, and recommends the top three funds for inclusion in a new FOF portfolio.

Quick Start

Run the fund analysis skill to evaluate a mutual fund and receive a detailed performance and risk report.

Frequently Asked Questions about fund-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze mutual fund performance and calculate risk-adjusted metrics like Sharpe and Sortino ratios?

To analyze mutual fund performance, this skill calculates annualized returns, alpha, Sharpe, Sortino, and information ratios using pandas and scipy. It evaluates multi-year data to identify high-quality investment opportunities and assess risk-adjusted returns.

What is style drift in mutual funds and how is it detected during fund analysis?

Style drift occurs when a fund's actual holdings deviate from its declared strategy. This skill detects drift by performing Sharpe style box regression, R² validation, and rolling-window analysis to ensure the fund's stated style matches its true portfolio composition.

How do I evaluate ETFs for tracking error, fees, and liquidity before adding them to a portfolio?

You can evaluate ETFs by screening for tracking error, fees, liquidity, and fund size. This skill applies an ETF selection framework to identify efficient passive products, ensuring optimal portfolio construction and minimizing hidden costs.

Can I use pandas and scipy to build a fund-of-funds portfolio and generate rebalancing rules?

Yes, you can build a fund-of-funds portfolio using this skill, which requires pandas, numpy, and scipy. It guides multi-asset allocation, fund selection, and establishes rebalancing rules with monitoring alerts for diversified strategies.

How are fund managers scored on excess returns and risk control during portfolio analysis?

Fund managers are scored on excess returns, risk control, turnover, and concentration. This skill highlights consistent over-performers by evaluating their historical performance data and risk management practices within the portfolio analysis framework.

Does this fund analysis approach work for identifying hidden risks in private funds and ETFs?

Yes, this fund analysis approach works for private funds and ETFs. It identifies hidden risks, style drifts, and manager performance issues by applying quantitative metrics and regression analysis to comprehensive multi-year portfolio data.