Portfolio Weight Optimization

SHARPE ↑

Max Sharpe Analysis complete

Baseline and candidate

USD basis · includes currency movements

2016-11-30–2026-09-30 · 119 monthly observations

Sharpe
0.86
Exp. Return
15.7%
Exp. Volatility
15.4%
Operating assumptions
  • Monthly rebalance to target
  • Dividends reinvested
  • 0bp transaction costs
  • Pretax, nominal returns

Compare strategies

The possible portfolios stay the same; each strategy changes the recommended point and allocation.

Efficient Frontier

Hover a point to preview every asset weight, then click to pin that allocation for comparison.

Tap a point to pin its allocation for comparison. You can also select from the list below.

Equal-weight baselineMin VolatilityMax Sharpe10.0%11.0%12.0%13.0%14.0%15.0%16.0%Annual Volatility-5.0%0.0%5.0%10.0%15.0%20.0%Annual Expected Return
Equal-weight baseline Max Sharpe Min Volatility
All selectable portfolios on the efficient frontier
All selectable portfolios on the efficient frontier
PortfolioExp. ReturnExp. VolatilitySharpeSelect
Frontier candidate 15.9%11.0%0.31
Frontier candidate 26.3%11.1%0.35
Frontier candidate 36.7%11.1%0.38
Frontier candidate 47.2%11.1%0.42
Frontier candidate 57.6%11.2%0.46
Frontier candidate 68.0%11.3%0.49
Frontier candidate 78.4%11.4%0.53
Frontier candidate 88.9%11.5%0.56
Frontier candidate 99.3%11.7%0.59
Frontier candidate 109.7%11.8%0.62
Frontier candidate 1110.2%12.0%0.64
Frontier candidate 1210.6%12.2%0.67
Frontier candidate 1311.0%12.4%0.69
Frontier candidate 1411.4%12.6%0.71
Frontier candidate 1511.9%12.8%0.73
Frontier candidate 1612.3%13.1%0.75
Frontier candidate 1712.7%13.3%0.77
Frontier candidate 1813.2%13.6%0.79
Frontier candidate 1913.6%13.8%0.80
Frontier candidate 2014.0%14.1%0.82
Frontier candidate 2114.5%14.4%0.83
Frontier candidate 2214.9%14.7%0.84
Frontier candidate 2315.3%15.0%0.85
Frontier candidate 2415.7%15.4%0.86
Save a candidate and validate it with a full backtest

Optimization is an estimate. Apply these weights to the actual backtest to verify performance and drawdown.

How to read portfolio optimization results

What does the optimizer calculate?

The optimizer uses historical monthly returns for your selected assets to estimate return and risk at different weights. It compares how allocations change when the objective changes while the assets and calculation conditions stay the same.

How the six approaches differ

Equal Weight
Allocate evenly across selected assets
Max Sharpe
Maximize risk-adjusted return using the Sharpe ratio
Min Volatility
Minimize overall portfolio volatility
Min CVaR
Reduce average losses in the worst tail scenarios
Risk Parity
Balance assets so each contributes similar risk
Max Sortino
Maximize return relative to downside volatility

The default baseline allocates equally across all assets. When you load a portfolio, its weights become the baseline for comparing the five optimized allocations.

Actual calculation period and observations

This result uses 119 monthly observations from 2016-11-30 to 2026-09-30. The actual calculation period can differ from the requested number of years, so check the dates shown with the result.

Data as of 2026-10-29

Return estimates and operating assumptions

Expected return and risk use annualized historical monthly means and sample covariance in USD. The calculation assumes monthly rebalancing to target weights, dividend reinvestment, and 0bp transaction costs. Taxes and inflation are excluded.

Each asset weight is between 0% and 100%, and weights sum to 100%. Changing the weight limits changes the feasible allocations and optimization results.

Limits of these results

The displayed returns and weights are estimates from historical data, not guaranteed future optimal weights or returns. Results can change with the period and asset selection. Use a backtest to examine loss periods and operating conditions for the allocation you choose.