Portfolio Visualizer

Portfolio Visualizer is a research and analysis platform built for investors who want to stress-test their strategies against historical market data before committing real money. Made by SRL, the site offers backtesting, Monte Carlo retirement simulation, portfolio optimization, and fund screening tools. All are designed as educational resources, explicitly not investment advice. The platform serves 5.1 million annual visits from investors in 100+ countries analyzing portfolios across 30 global markets and 187,650 securities.

The platform's backbone is portfolio backtesting, where you input a portfolio allocation and the tool replays it against decades of historical market returns to show how it would have performed. You cannot trade or hold actual investments here; everything you see is simulation on your own hypothetical numbers. The site runs the same historical data through different portfolio compositions so you can compare a 60/40 stock-bond split against a three-fund lazy portfolio or a tactical allocation model without placing a real trade. The site publishes performance for five "lazy portfolio" reference models: the Mebane Faber Ivy Portfolio, the Bill Bernstein No Brainer, the Rick Ferri Core Four, the Marc Faber Portfolio, and the Harry Browne Permanent Portfolio, each showing year-to-date, one-year, and three-year returns so you can benchmark your own strategy against academically recognized allocations.

The second major tool is Monte Carlo simulation, which takes your current allocation and runs thousands of random return sequences (forward-looking probability distributions rather than backward replays) to estimate your portfolio's survival rate under different withdrawal scenarios. You set an initial amount, a withdrawal strategy (fixed dollar, fixed percentage, life-expectancy-based), an inflation assumption, and a time horizon, and it calculates the probability you will not run out of money. The simulation supports four return models: historical (random draws from actual returns), forecasted (your own mean and standard deviation), statistical (portfolio-wide parameters), and parameterized (you specify a distribution). The tool handles monthly, quarterly, or annual withdrawals, and you can smooth spending via a rolling average or geometric rule. Yearly inflation adjustments are applied by default to your withdrawal or contribution amount. Running the simulation returns the percentage of those randomized return sequences in which the portfolio stayed solvent through the full time horizon you set, rather than a single predicted outcome. The interface also supports life-expectancy-based withdrawals, where the tool calculates required minimum distributions (RMD) as a percentage of portfolio balance divided by remaining years of life.

The tool also includes portfolio optimization on an efficient frontier: feed it asset classes and the system shows you the lowest-risk portfolio for each return level, or the highest return at each risk level. The site offers Black-Litterman optimization (which blends market views with your own assumptions), rolling optimization (rebalancing on a schedule), and tactical allocation models based on moving averages, momentum, market valuation, and volatility targeting. These tactical models allow you to test whether systematic rules (buy when a moving average is rising, fade when volatility spikes) would have outperformed buy-and-hold in the past.

Additional features span fund screening (search 187,650 securities globally by performance, expense ratio, holdings, or factor exposure), factor analysis (see which risk factors drove a fund's returns), manager performance (compare an actively managed fund to its benchmark over time), and asset correlations (understand which holdings move together). Factor analysis breaks down a fund's return into market beta, size, value, momentum, profitability, and quality factors, so you can see whether an active manager beat the index through skill or simply took more factor risk. Fund correlations help you spot redundancy: two highly correlated funds are not adding diversification to your portfolio, while two funds with low correlation are.

The site says it reaches 5.1 million annual visits, serves over 100 countries, covers 30 global markets, and tracks 187,650 securities. All outputs (backtests, performance results, optimization charts) are marked as hypothetical. The site's disclosures state: "SRL does not provide investment, legal, accounting, or tax advice and is not registered with the SEC, FINRA, FCA, ESMA, or any other regulator." The platform also notes: "All outputs (including backtests and performance results) are hypothetical and not indicative of future outcomes. Investments involve risk, including possible loss of principal." It emphasizes that "past and hypothetical results do not guarantee future performance."

The pricing model is invisible on the captured homepage. The site offers free access to all tools; no cost barrier appears when you load backtesting or Monte Carlo. There is no pricing page in this excerpt, no mention of a paid tier, no trial gate, and no credit card required to run a simulation. You sign up or log in to save your work, but the captured text does not say what registration costs.

Portfolio Visualizer is pure research, not execution. You cannot wire money to the platform, connect a real brokerage account, or place orders. The platform cannot see your actual holdings, so every backtest and simulation is you manually plugging in numbers. That is both the strength and the limitation: you control the inputs absolutely (no surprises from a linked account or a data sync error), but you start from scratch, manually entering each position's quantity, cost basis, and date. For a buy-and-hold investor stress-testing a 30-year retirement plan or a tactical trader comparing momentum strategies, that manual control is fine; for an investor with many holdings spread across several brokers, manual entry becomes drudgery.

The tool does not consolidate your real-world net worth, pull live dividend rates, or track actual trades against a benchmark. It is a sandbox, not a portfolio manager. If you want to know whether your stock/bond allocation can sustain your retirement, Portfolio Visualizer will answer it. If you want one platform to watch your real brokerage accounts and show you your actual performance, you need a different tool.

The site is built for investors who understand diversification, rebalancing, and total return. It assumes you know what an ETF is, what expense ratios are, and what "efficient frontier" means. A beginner could use it, but the terminology and the volume of inputs would feel steep. A financial adviser running projections for clients, or a self-directed investor testing whether their homebrew strategy works, fits the use case perfectly.

No client data lives on the Platform. The site says: "By proceeding, you consent to the processing of your personal data in accordance with our Privacy Policy (GDPR/UK GDPR/U.S. compliant)." It is explicit that it is educational and hypothetical. The baseline expectation is that everything stays simulation.

The site publishes data-driven articles alongside the tools. A knowledge center section explores ETF trends, AI's role in investing, and how different asset classes fit into a diversified approach. These articles are labeled as partner content and some mention that the site receives compensation for referrals or advertising fees, a transparency the disclaimer underscores: "From time to time we feature, discuss, or link to instruments, funds, platforms, or services issued or sponsored by our owners, affiliates, partners, or advertisers. We may receive compensation (e.g., referral fees, advertising fees, revenue-share). Such relationships may influence which products are illustrated or how they are presented. Compensation does not change our rules-based calculation methodologies, but it may affect presentation or placement."

Portfolio Visualizer suits investors who want academic-grade tools to test ideas at home, with no fees and no trading capability. The trade-off is simplicity for power: you build spreadsheet-grade inputs to unlock professional-grade analysis, and you never move money inside the platform itself. For a financial adviser building projections for clients, a DIY investor testing whether a tactical rebalancing strategy would have worked, or a researcher exploring factor performance across decades of market data, the tool is purpose-built. For an investor wanting to link a real brokerage account and watch performance in real time, a different platform is needed.