PortfolioMetrics

PortfolioMetrics is a portfolio analysis workspace that combines structured investment research with plain-language AI assistance. Users can build a portfolio from stocks, ETFs, mutual funds, bonds, or cryptocurrencies, set allocations, choose a benchmark and timeframe, and run a historical backtest using up to 40 years of price data and dividends. Reports cover portfolio growth, cumulative and end-of-year returns, volatility, Sharpe and Sortino ratios, drawdowns, beta, correlations, covariance, asset comparisons, and other risk measures. The optimization tools let users test allocation strategies, asset and group constraints, rebalancing options, risk-parity approaches, and efficient-frontier tradeoffs. Monte Carlo simulation projects hypothetical outcome ranges from historical distributions, while AI Insights reads a completed report to surface strengths, warnings, risk scores, and notable patterns. The AI Assistant provides a conversational route: describe the portfolio question in plain English and receive an analysis based on the platform’s data and calculations. Reports can be saved, shared, exported to PDF, or used between the backtesting and optimization tools. Core backtesting, optimization, and Monte Carlo features are available on the free plan. Premium and Professional plans expand asset, report, forecast, AI-credit, export, and commercial-use allowances. The platform is designed for individual investors, researchers, students, financial advisors, and businesses, with informational—not investment-advisory—use.