VOL. XCIV, NO. 247

★ A CURATED DIRECTORY OF FINANCIAL TOOLS AND RESOURCES ★

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Saturday, December 27, 2025

Tool Comparison

Portfolio123 vs PortfoliosLab comparison

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

Quick takeaways

Portfolio123 adds Stock Ideas, Financials, GDP, Interest Rates, Unemployment Rates, Consumer Sentiment, Housing & Construction, Broker Connectors, Education, Blogs, and Videos coverage that PortfoliosLab skips.

PortfoliosLab includes Risk Metrics, Factor Exposure, Stock Comparison, ETF Comparison, and ETF Screeners categories that Portfolio123 omits.

In depth comparison

Portfolio123

portfolio123.com

Editor’s pick Hands-on review

Rules‑based quant research and portfolio‑management platform. Free Manage module covers multi‑account tracking, watchlists, and broker connectivity, while paid Research/DataMiner/API tiers unlock multifactor ranking, screening, long history backtests, AI Factor, and programmatic access. API & DataMiner use an API‑credit system with monthly caps that depend on your membership; the 21‑day paid Research trial excludes API/DataMiner and runs on a limited history slice.

Platforms

WebAPIDesktop

Pricing

FreeSubscription

Quick highlights

Web‑based quant research terminal for building multifactor ranking systems, stock/ETF screens, and complete rules‑based strategies with no programming, powered by point‑in‑time FactSet data and marketed as free of survivorship and look‑ahead bias.
Supports realistic simulations and backtests over roughly 20 years of history for US, Canadian, and European equities, with custom universes, separate buy/sell rules, position sizing, hedging, and “Book of Strategies” to combine and analyze correlated systems.
Stock & ETF coverage uses fundamentals, estimates, corporate actions, plus industry/sector classification, with “over 15,000 current US, Canadian, and European stocks” and many more historical issues.
AI Factor lets users train machine‑learning factors and plug them into ranking systems and strategies alongside traditional factors, with supporting API endpoints.
Manage module (free) provides portfolio/account tracking with real‑time quotes, multi‑account strategy tracking, stock timelines, integrated research views, and re‑imagined watchlists that chart watchlist performance vs benchmarks.

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PortfoliosLab

portfolioslab.com

Web-based portfolio analytics platform for stocks, ETFs, mutual funds and crypto, focused on backtesting, risk-adjusted performance, optimization and multi-asset screeners. Free tier offers limited holdings, calculations and history; Plus/Pro expand to 40+ years of data, larger portfolios, advanced risk metrics and import/“bring your own data”; Enterprise adds API/data-feed integration and white-label reporting.

Platforms

WebAPI

Pricing

FreeSubscription

Quick highlights

Portfolio and instrument analytics suite with 20+ tools for performance, risk and optimization (portfolio analysis, portfolio performance, stock comparison, Sharpe, Sortino, Omega, Martin, VaR, CVaR, volatility models).
Portfolio tracking for both static and transactional portfolios, including lazy model portfolios and public user portfolios, with benchmarking against indices and other portfolios.
Backtesting of portfolios and single instruments with configurable rebalancing and long lookback windows (Free limited to ~10 years, paid plans use 40+ years of data).
Stock, ETF and mutual fund screeners with hundreds of filters across thousands of instruments, recalculated daily.
Risk analytics covering drawdowns, Expected Shortfall (CVaR), Value at Risk, multiple volatility estimators and risk‑adjusted ratios (Sharpe, Sortino, Omega, Calmar, Martin, Treynor, Summers).

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Where they differ

Portfolio123

Distinct strengths include:

Stock Ideas Financials GDP Interest Rates Unemployment Rates Consumer Sentiment Housing & Construction Broker Connectors

Web‑based quant research terminal for building multifactor ranking systems, stock/ETF screens, and complete rules‑based strategies with no programming, powered by point‑in‑time FactSet data and marketed as free of survivorship and look‑ahead bias.
Supports realistic simulations and backtests over roughly 20 years of history for US, Canadian, and European equities, with custom universes, separate buy/sell rules, position sizing, hedging, and “Book of Strategies” to combine and analyze correlated systems.
Stock & ETF coverage uses fundamentals, estimates, corporate actions, plus industry/sector classification, with “over 15,000 current US, Canadian, and European stocks” and many more historical issues.
AI Factor lets users train machine‑learning factors and plug them into ranking systems and strategies alongside traditional factors, with supporting API endpoints.

PortfoliosLab

Distinct strengths include:

Risk Metrics Factor Exposure Stock Comparison ETF Comparison ETF Screeners

Portfolio and instrument analytics suite with 20+ tools for performance, risk and optimization (portfolio analysis, portfolio performance, stock comparison, Sharpe, Sortino, Omega, Martin, VaR, CVaR, volatility models).
Portfolio tracking for both static and transactional portfolios, including lazy model portfolios and public user portfolios, with benchmarking against indices and other portfolios.
Backtesting of portfolios and single instruments with configurable rebalancing and long lookback windows (Free limited to ~10 years, paid plans use 40+ years of data).
Stock, ETF and mutual fund screeners with hundreds of filters across thousands of instruments, recalculated daily.

Feature-by-feature breakdown

Attribute	Portfolio123	PortfoliosLab
Categories Which research workflows each platform targets	Shared: Screeners, Data Visualizations, Quant, Portfolio, Watchlist, Backtesting, Correlation, Data APIs, APIs & SDKs Unique: Stock Ideas, Financials, GDP, Interest Rates, Unemployment Rates, Consumer Sentiment, Housing & Construction, Broker Connectors, Education, Blogs, Videos	Shared: Screeners, Data Visualizations, Quant, Portfolio, Watchlist, Backtesting, Correlation, Data APIs, APIs & SDKs Unique: Risk Metrics, Factor Exposure, Stock Comparison, ETF Comparison, ETF Screeners
Asset types Supported asset classes and universes	Stocks, ETFs, Closed-End Funds	Stocks, ETFs, Mutual Funds, Funds, Cryptos, Currencies
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web, API, Desktop	Web, API
Pricing High-level pricing models	Free, Subscription	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Web‑based quant research terminal for building multifactor ranking systems, stock/ETF screens, and complete rules‑based strategies with no programming, powered by point‑in‑time FactSet data and marketed as free of survivorship and look‑ahead bias. Supports realistic simulations and backtests over roughly 20 years of history for US, Canadian, and European equities, with custom universes, separate buy/sell rules, position sizing, hedging, and “Book of Strategies” to combine and analyze correlated systems. Stock & ETF coverage uses fundamentals, estimates, corporate actions, plus industry/sector classification, with “over 15,000 current US, Canadian, and European stocks” and many more historical issues. AI Factor lets users train machine‑learning factors and plug them into ranking systems and strategies alongside traditional factors, with supporting API endpoints. Manage module (free) provides portfolio/account tracking with real‑time quotes, multi‑account strategy tracking, stock timelines, integrated research views, and re‑imagined watchlists that chart watchlist performance vs benchmarks. Broker connectivity enables sending orders from Portfolio123 to linked brokerage accounts (e.g., Interactive Brokers, Tradier), syncing holdings and fills automatically while keeping assets at your existing broker.	Unique Portfolio and instrument analytics suite with 20+ tools for performance, risk and optimization (portfolio analysis, portfolio performance, stock comparison, Sharpe, Sortino, Omega, Martin, VaR, CVaR, volatility models). Portfolio tracking for both static and transactional portfolios, including lazy model portfolios and public user portfolios, with benchmarking against indices and other portfolios. Backtesting of portfolios and single instruments with configurable rebalancing and long lookback windows (Free limited to ~10 years, paid plans use 40+ years of data). Stock, ETF and mutual fund screeners with hundreds of filters across thousands of instruments, recalculated daily. Risk analytics covering drawdowns, Expected Shortfall (CVaR), Value at Risk, multiple volatility estimators and risk‑adjusted ratios (Sharpe, Sortino, Omega, Calmar, Martin, Treynor, Summers). Factor and correlation tools to estimate alpha/beta, analyze asset correlations and build optimized portfolios using mean–variance, risk parity and hierarchical risk parity (HRP) models.
Tested Verified by hands-on testing inside Find My Moat	Yes	Not yet
Editor pick Featured inside curated shortlists	Highlighted	Standard listing

Frequently Asked Questions

Which workflows do Portfolio123 and PortfoliosLab both support?

Both platforms cover Screeners, Data Visualizations, Quant, Portfolio, Watchlist, Backtesting, Correlation, Data APIs, and APIs & SDKs workflows, so you can research those use cases in either tool before digging into the feature differences below.

Do Portfolio123 and PortfoliosLab require subscriptions?

Both Portfolio123 and PortfoliosLab keep freemium access with optional paid upgrades, so you can trial each platform before committing.

How can you access Portfolio123 and PortfoliosLab?

Both Portfolio123 and PortfoliosLab 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?

Portfolio123 differentiates itself with Web‑based quant research terminal for building multifactor ranking systems, stock/ETF screens, and complete rules‑based strategies with no programming, powered by point‑in‑time FactSet data and marketed as free of survivorship and look‑ahead bias., Supports realistic simulations and backtests over roughly 20 years of history for US, Canadian, and European equities, with custom universes, separate buy/sell rules, position sizing, hedging, and “Book of Strategies” to combine and analyze correlated systems., and Stock & ETF coverage uses fundamentals, estimates, corporate actions, plus industry/sector classification, with “over 15,000 current US, Canadian, and European stocks” and many more historical issues., whereas PortfoliosLab stands out for Portfolio and instrument analytics suite with 20+ tools for performance, risk and optimization (portfolio analysis, portfolio performance, stock comparison, Sharpe, Sortino, Omega, Martin, VaR, CVaR, volatility models)., Portfolio tracking for both static and transactional portfolios, including lazy model portfolios and public user portfolios, with benchmarking against indices and other portfolios., and Backtesting of portfolios and single instruments with configurable rebalancing and long lookback windows (Free limited to ~10 years, paid plans use 40+ years of data)..

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