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Portfolio Optimization

Portfolio optimization is a quantitative process used in finance to select the best possible combination of investment portfolio assets and their weights, given a set of objectives and constraints. The primary goal of portfolio optimization is to maximize return while minimizing risk.

Our online portfolio optimization tool is designed for individual investors, financial advisors, and wealth managers. It utilizes advanced mathematical algorithms and financial models to generate optimal investment portfolios balancing desired returns with acceptable risk levels. It takes into account a wide range of variables, including market trends, historical data, asset correlations, and economic indicators, to provide investors with a comprehensive analysis of their portfolio's performance.


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What it affects

Optimization settings


Objective
Target Return

%

Risk Free Rate

The minimum return you'd expect without taking any risk

%

Reoptimize Frequency

See how your portfolio would have performed if you run optimization on a regular schedule

Optimization Date

Results after this date show real, out-of-sample performance


Training Window

How much historical data is used to calculate optimal weights

Correlated Assets

Automatically removes assets that move too similarly to improve diversification


Constraints

Set minimum and maximum allocation limits for each asset

%

%


Benchmark

Compare your optimized portfolio against a market index

 

Optimal Asset Allocation


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Original vs Optimized


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Portfolio Performance

The chart shows the growth of an initial investment of $10,000 in Optimized Portfolio, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends.


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Allocation Over Time

This chart presents a detailed view of the portfolio's composition from its inception to the present day.

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Portfolio Sharpe Ratio


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Portfolio Drawdowns


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Portfolio Volatility


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Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

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Diversification Analysis

Pair optimization with diversification

Optimization reweights what you already hold. Diversification Analysis finds the gaps and suggests new assets to fill them — a natural next step before locking in weights.

Open Diversification Analysis

How to choose the right optimization objective

Choosing the right objective for your portfolio optimization depends on your investment goals, risk tolerance, and investment horizon. Consider the following factors when selecting an objective:

Risk tolerance: Assess your level of comfort with fluctuations in the value of your investments. If you're risk-averse, objectives like minimizing volatility or CVaR might be more suitable. Or consider maximizing quadratic utility or Sharpe ratio if you're willing to take on higher risk for potentially higher returns.

Investment goals: Align the objective with your specific financial goals. For example, if you're saving for a long-term goal like retirement, you might focus on maximizing the Sharpe ratio to achieve higher risk-adjusted returns. Minimizing volatility could be a better choice if you're more concerned with preserving capital.

Investment horizon: Consider the time frame of your investments. Longer investment horizons often allow for greater risk-taking, as markets tend to fluctuate over short periods but exhibit long-term growth trends. Shorter horizons may require a more conservative approach, such as minimizing volatility.

Diversification: Ensure your portfolio includes positions diversified across different asset classes, sectors, or regions. This can help mitigate risk, create a more resilient portfolio, and achieve better optimization results.

Remember, there is no one-size-fits-all approach to choosing an objective. Understanding your financial goals, risk appetite, and investment horizon is essential to make the best decision for your unique situation.