VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View Portfolio Visualizer View YCharts Back to Home

Head-to-head

Portfolio Visualizer vs YCharts comparison

Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.

Quick takeaways

Portfolio Visualizer adds Quant, Factor Exposure, Monte Carlo, and Backtesting coverage that YCharts skips.

YCharts includes Screeners, Stock Comparison, ETF Comparison, Portfolio, Watchlist, Performance Attribution, Scenario & Stress Tests, News, Alerts, Data APIs, Financials, Scores, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Overlap, Analyst Forecasts, Short Interest, Insider Data, Inflation Rates, Unemployment Rates, GDP, Interest Rates, Yield Curves, APIs & SDKs, Sheets / Excel Add-ins, and Broker Connectors categories that Portfolio Visualizer omits.

Portfolio Visualizer highlights: Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting., Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning., and Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model..

YCharts is known for: Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks., Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns., and Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators..

Portfolio Visualizer has a free tier, while YCharts requires a paid plan.

Portfolio Visualizer

portfoliovisualizer.com

Hands-on review

Web-based analytics suite for portfolio backtesting, optimization, and factor analysis. The free tier supports up to ~15 assets and limited history, while Basic and Pro tiers extend to ~150 assets with YTD results, model saving, and data export. Paid plans include a 14-day free trial.

Platforms

Web

Pricing

Free

Subscription

Quick highlights

Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting.
Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning.
Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model.
Factor analytics with multi-factor regressions and a risk-factor allocation optimizer.
Correlation analysis at the asset or asset-class level via heatmaps and matrices.

Community votes (overall)

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YCharts

ycharts.com

Hands-on review

Advisor-focused research, portfolio analytics, and proposal platform. Lower tiers are more view-only, while add-ons unlock the Excel add-in and broader fund/SMA datasets. Intraday quotes are available on a short delay (about 90–120 seconds).

Platforms

Web

API

Pricing

Subscription

Quick highlights

Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks.
Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns.
Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators.
Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds).
Excel & API: an add-on Excel add-in with dynamic formulas/templates, a REST API with API keys and official Python/R clients, and exports to CSV/Excel/PDF/images.

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Overlap

Shared focus areas

3 overlaps

Mutual strengths include Data Visualizations, Risk Metrics (VaR/ES/Drawdown), and Correlation.

Where they differ

Portfolio Visualizer

Distinct strengths include:

Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting.
Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning.
Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model.
Factor analytics with multi-factor regressions and a risk-factor allocation optimizer.

YCharts

Distinct strengths include:

Performance Attribution

Scenario & Stress Tests

News

Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks.
Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns.
Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators.
Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds).

Feature-by-feature breakdown

Attribute	Portfolio Visualizer	YCharts
Categories Which research workflows each platform targets	Shared: Data Visualizations, Risk Metrics (VaR/ES/Drawdown), Correlation Unique: Quant, Factor Exposure, Monte Carlo, Backtesting	Shared: Data Visualizations, Risk Metrics (VaR/ES/Drawdown), Correlation Unique: Screeners, Stock Comparison, ETF Comparison, Portfolio, Watchlist, Performance Attribution, Scenario & Stress Tests, News, Alerts, Data APIs, Financials, Scores, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Overlap, Analyst Forecasts, Short Interest, Insider Data, Inflation Rates, Unemployment Rates, GDP, Interest Rates, Yield Curves, APIs & SDKs, Sheets / Excel Add-ins, Broker Connectors
Asset types Supported asset classes and universes	Stocks, ETFs, Mutual Funds, Bonds, Commodities	Stocks, ETFs, Mutual Funds, Closed-End Funds
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web	Web, API
Pricing High-level pricing models	Free, Subscription	Subscription
Key features Core capabilities called out by each vendor	Unique Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting. Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning. Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model. Factor analytics with multi-factor regressions and a risk-factor allocation optimizer. Correlation analysis at the asset or asset-class level via heatmaps and matrices. Tactical asset allocation strategies such as moving averages, momentum signals, valuation-based models, and target volatility frameworks.	Unique Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks. Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns. Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators. Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds). Excel & API: an add-on Excel add-in with dynamic formulas/templates, a REST API with API keys and official Python/R clients, and exports to CSV/Excel/PDF/images. Advisor ecosystem integrations including Addepar, Orion, Redtail, Schwab Advisor Center, iRebal, Pershing, LPL ClientWorks, Black Diamond, and VRGL.
Tested Verified by hands-on testing inside Find My Moat	Yes	Yes
Editor pick Featured inside curated shortlists	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do Portfolio Visualizer and YCharts both support?

Both platforms cover Data Visualizations, Risk Metrics (VaR/ES/Drawdown), and Correlation workflows, so you can research those use cases in either tool before digging into the feature differences below.

Which tool offers a free plan?

Portfolio Visualizer offers a free entry point, while YCharts requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access Portfolio Visualizer and YCharts?

Both Portfolio Visualizer and YCharts prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.

What unique strengths set the two platforms apart?

Portfolio Visualizer differentiates itself with Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting., Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning., and Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model., whereas YCharts stands out for Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks., Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns., and Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators..

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