Portfolio Visualizer adds Factor Exposure, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, and Correlation coverage that ValueSense skips.
VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Wednesday, November 19, 2025
Tool Comparison
Portfolio Visualizer vs ValueSense comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
ValueSense includes Stock Ideas, Screeners, Money Flow, Watchlist, News, Calendar, Valuation Models, Scores, Transcripts, Insider Data, 13F, Research Templates, Shared Workspaces, AI, and AI Earnings Summary categories that Portfolio Visualizer omits.
In depth comparison
Portfolio Visualizer
portfoliovisualizer.com
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.
Categories
Platforms
Pricing
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)
ValueSense
valuesense.io
ValueSense is a web research platform focused on fundamental equity analysis, intrinsic valuation, KPI/segment data, and AI‑aided earnings summaries. It includes a global stock screener (country/exchange filters), backtest charting, institutional/insider ("smart money") dashboards, a KPI-aware charting studio, and a workspace/public gallery for sharing screeners, charts, dashboards and valuation calculators. Exports include Excel/CSV/PDF and PNG chart images.
Categories
Platforms
Pricing
Quick highlights
- Intrinsic value suite: DCF, Reverse DCF, Earnings Power Value (EPV), Peter Lynch fair value, and relative value calculators.
- AI-powered earnings overviews that summarize transcripts into structured highlights/visuals.
- Global stock screener with 60+ presets, country & exchange filters, heatmap/scatter visualizations, and a backtesting comparison vs S&P 500.
- Smart Money Analysis: institutional (13F) and insider transaction tracking, plus options sentiment indicators.
- KPI & segments data (e.g., product/geo/segment revenue, operating income by segment) with 10+ years of history and quarterly/LTM modes.
Community votes (overall)
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.
ValueSense
Distinct strengths include:
- Intrinsic value suite: DCF, Reverse DCF, Earnings Power Value (EPV), Peter Lynch fair value, and relative value calculators.
- AI-powered earnings overviews that summarize transcripts into structured highlights/visuals.
- Global stock screener with 60+ presets, country & exchange filters, heatmap/scatter visualizations, and a backtesting comparison vs S&P 500.
- Smart Money Analysis: institutional (13F) and insider transaction tracking, plus options sentiment indicators.
Feature-by-feature breakdown
| Attribute | Portfolio Visualizer | ValueSense |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Data Visualizations, Quant, Backtesting Unique: Factor Exposure, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, Correlation | Shared: Data Visualizations, Quant, Backtesting Unique: Stock Ideas, Screeners, Money Flow, Watchlist, News, Calendar, Valuation Models, Scores, Transcripts, Insider Data, 13F, Research Templates, Shared Workspaces, AI, AI Earnings Summary |
Asset types Supported asset classes and universes | Stocks, ETFs, Mutual Funds, Bonds, Commodities | Stocks, ETFs |
Experience levels Who each product is built for | Beginner, Intermediate, Advanced | Beginner, Intermediate, Advanced |
Platforms Where you can access the product | Web | Web |
Pricing High-level pricing models | Free, Subscription | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Yes | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do Portfolio Visualizer and ValueSense both support?
Both platforms cover Data Visualizations, Quant, and Backtesting workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Portfolio Visualizer and ValueSense require subscriptions?
Both Portfolio Visualizer and ValueSense keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access Portfolio Visualizer and ValueSense?
Both Portfolio Visualizer and ValueSense 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 ValueSense stands out for Intrinsic value suite: DCF, Reverse DCF, Earnings Power Value (EPV), Peter Lynch fair value, and relative value calculators., AI-powered earnings overviews that summarize transcripts into structured highlights/visuals., and Global stock screener with 60+ presets, country & exchange filters, heatmap/scatter visualizations, and a backtesting comparison vs S&P 500..
Keep exploring
Keep exploring
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Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.