Portfolio Optimizer
Build your optimal portfolio. Set your constraints, pick your method, see the math. Powered by J.P. Morgan 2026 Capital Market Assumptions.
Choose a Starting Point
Select Assets & Set Constraints
No return target — optimizer is free to find the best risk-adjusted portfolio.
Equities
Fixed Income
Alternatives
Cash
Choose Your Goal
Optimized Portfolio
Allocation
| Asset | Weight | Return | Vol | Constrain |
|---|---|---|---|---|
| US Aggregate Bonds | 70.5% | 4.8% | 4.8% | –% |
| US REITs | 12.9% | 8.8% | 17.4% | –% |
| Cash / Money Market | 9.1% | 3.1% | 0.7% | –% |
| Bitcoin | 7.6% | 15.0% | 42.5% | –% |
Set min/max constraints on any asset and the portfolio re-optimises automatically.
Method: Maximum Sharpe. Risk-free rate: 3.1% (US Cash, JPM LTCMA 2026). Max drawdown estimated as 2.5× annual volatility.
Visualise the full risk-return tradeoff across all feasible portfolios.
Methodology
Data source: Expected returns, volatilities, and correlations from J.P. Morgan 2026 Long-Term Capital Market Assumptions (30th edition, pages 82-83, USD matrix). Bitcoin assumptions are Portfolio Lab estimates (15% geometric return, 42.5% volatility) informed by institutional research. Read our methodology.
Max Sharpe: Grid search over target returns along the efficient frontier, solving for minimum variance at each target. Selects the portfolio with the highest Sharpe ratio.
Min Variance: Projected gradient descent with box constraints, minimising total portfolio variance (w'Σw).
Risk Parity: Equal Risk Contribution (ERC) via cyclical coordinate descent (Griveau-Billion et al., 2013). Each asset contributes equally to total portfolio risk.
HRP: Hierarchical Risk Parity (López de Prado, 2016). Single-linkage clustering on correlation distance, then recursive bisection weighted by inverse variance.
Black-Litterman: Implied equilibrium returns (π = δΣw) blended with investor views using Bayesian updating.
Constraints: Per-asset minimum and maximum weights. All weights must sum to 100%. No leverage or short-selling.
This tool uses forward-looking assumptions, not historical data. Past performance does not guarantee future results. Not financial advice. Consult a qualified adviser before making investment decisions.