SkillHub

xanadu-portfolio-optimizer

v1.0.0

Optimize investment portfolios through rebalancing, risk analysis, and tax-loss harvesting. Use when: (1) Rebalancing portfolio allocation, (2) Analyzing portfolio risk and diversification, (3) Finding tax-loss harvesting opportunities, (4) Calculating optimal asset allocation.

Sourced from ClawHub, Authored by saintlittlefish

Installation

Please help me install the skill `xanadu-portfolio-optimizer` from SkillHub official store. npx skills add saintlittlefish/xanadu-portfolio-optimizer

Portfolio Optimizer

Optimize investment portfolios with rebalancing, risk analysis, and tax optimization.

Quick Start

# Analyze portfolio
python scripts/optimizer.py analyze --holdings AAPL:10,MSFT:15,GOOGL:5

# Rebalance
python scripts/optimizer.py rebalance --holdings AAPL:10,MSFT:15,GOOGL:5 --target "AAPL:30,MSFT:30,GOOGL:40"

# Tax-loss harvest
python scripts/optimizer.py harvest --holdings AAPL:-500,MSFT:200

Core Features

1. Portfolio Analysis

  • Current allocation breakdown
  • Sector exposure
  • Risk metrics (volatility, beta, Sharpe ratio)
  • Diversification score
  • Performance vs benchmarks

2. Rebalancing

Calculate trades needed to reach target allocation: - Threshold-based rebalancing (e.g., rebalance when >5% drift) - Calendar-based (quarterly, annually) - Tax-aware rebalancing (minimize capital gains)

3. Tax-Loss Harvesting

Identify positions with losses to offset gains: - Short-term vs long-term losses - Wash sale rule awareness - Suggested replacement securities

4. Risk Analysis

  • Portfolio volatility
  • Maximum drawdown
  • Value at Risk (VaR)
  • Beta vs market
  • Correlation matrix

Usage

Analyze Current Portfolio

python scripts/optimizer.py analyze --holdings AAPL:10,MSFT:15,GOOGL:5

Get Rebalancing Trades

python scripts/optimizer.py rebalance 
  --holdings AAPL:10000,MSFT:15000,GOOGL:5000 
  --target "AAPL:33,MSFT:33,GOOGL:33"

Tax-Loss Harvesting Opportunities

python scripts/optimizer.py harvest --file portfolio.json

Risk Report

python scripts/optimizer.py risk --holdings AAPL:10,MSFT:20,GOOGL:5

Input Format

Holdings can be specified as: - SYMBOL:VALUE (dollar value) - SYMBOL:SHARES:AVG_COST (shares with cost basis)

Example:

--holdings AAPL:15000,MSFT:20000,GOOGL:5000

Or with cost basis:

--holdings "AAPL:100:150.00,MSFT:50:280.00"

Output

Analysis includes: - Current vs target allocation - Trades needed to rebalance - Estimated tax impact - Risk metrics - Recommendations

Requirements

  • Python 3.10+
  • yfinance for price data
  • numpy, pandas for calculations

Monetization (SkillPay)

This skill supports SkillPay integration for premium features.

Pricing Tiers

Tier Price Features
Basic Free Basic analysis, manual rebalancing
Pro $29/mo Auto rebalancing, tax-loss harvesting, risk metrics
Premium $49/mo API access, unlimited portfolios, priority support

Owner: Xanadu Studios