Portfolio Risk Rank

Portfolio Risk Rank
Portfolio Risk Rank
Developer: DrKlaw
Category: Finance

Portfolio Risk Rank Summary

Portfolio Risk Rank is a mobile Android app in Finance by DrKlaw. Released in Apr 2026 (recently released ago). Store metadata: updated Apr 3, 2026.

Store info: Last updated on Google Play on Apr 3, 2026 .


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Screenshots

App screenshot
App screenshot
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App Description

Optimize your stock portfolio using Modern Portfolio Theory

Risk Rank helps you build smarter investment portfolios using Modern Portfolio Theory (MPT) — the same mathematical framework used by professional fund managers.

* Simply add the stocks or ETFs you're interested in, choose your optimization settings, and Risk Rank calculates the efficient frontier: the set of portfolios that maximize return for a given level of risk. An interactive slider lets you explore the full range of risk/return trade-offs and find the allocation that matches your investment style.

* What Risk Rank does:
- Fetches real historical price data for any stock, ETF, or mutual fund
- Computes the efficient frontier using projected gradient optimization
- Shows portfolio weights, expected return, and risk for each point on the frontier
- Displays a pie chart, weights heatmap, covariance matrix, and component returns chart
- Lets you select your preferred risk tolerance interactively

* Free tier includes:
- Up to 4 securities
- Up to 10 optimization steps
- Up to 6 months of historical data

* Pro upgrade unlocks:
- Up to 25 securities
- Up to 100 optimization steps for a smoother frontier
- Historical periods up to 5 years
- Include a risk-free asset (Treasury / cash) in your optimization
- Save and load portfolios and results
- No ads

* Important disclaimer: Risk Rank is an educational and analytical tool. It does not provide financial advice. Past performance of securities is not indicative of future results. Always consult a qualified financial advisor before making investment decisions. Optimization results are based on historical data and mathematical models, which do not guarantee future outcomes.