VOL. XCIV, NO. 247

★ A CURATED DIRECTORY OF FINANCIAL TOOLS AND RESOURCES ★

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Friday, December 26, 2025

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Tool Comparison

okama vs PortfoliosLab comparison

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

Quick takeaways

okama adds Monte Carlo, ETF Performance, Inflation Rates, and Interest Rates coverage that PortfoliosLab skips.

PortfoliosLab includes Watchlist, Factor Exposure, Stock Comparison, ETF Comparison, Screeners, ETF Screeners, and APIs & SDKs categories that okama omits.

In depth comparison

okama

okama.io

Hands-on review

Free open-source toolkit for portfolio analysis and market data. Okama offers web widgets, an API, and a Python library with efficient frontiers, risk metrics, and Monte Carlo simulations. Market and macro data is available end-of-day, with live prices delayed by ~15–20 minutes.

Platforms

WebAPI

Pricing

Free

Quick highlights

Interactive Efficient Frontier (mean–variance) widget for quick visualization.
Compare-assets widget covering returns, drawdowns, CVaR, and correlations.
Portfolio widget built on adjusted monthly data for risk/return analysis.
Python library supports mean–variance optimization, rebalancing scenarios, backtesting, and advanced risk metrics such as VaR, CVaR, semideviation, and drawdowns.
Monte Carlo simulations and wealth-index forecasts with percentile bands.

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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

okama

Distinct strengths include:

Monte Carlo ETF Performance Inflation Rates Interest Rates

Interactive Efficient Frontier (mean–variance) widget for quick visualization.
Compare-assets widget covering returns, drawdowns, CVaR, and correlations.
Portfolio widget built on adjusted monthly data for risk/return analysis.
Python library supports mean–variance optimization, rebalancing scenarios, backtesting, and advanced risk metrics such as VaR, CVaR, semideviation, and drawdowns.

PortfoliosLab

Distinct strengths include:

Watchlist Factor Exposure Stock Comparison ETF Comparison Screeners ETF Screeners APIs & SDKs

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	okama	PortfoliosLab
Categories Which research workflows each platform targets	Shared: Quant, Data Visualizations, Portfolio, Correlation, Backtesting, Risk Metrics, Data APIs Unique: Monte Carlo, ETF Performance, Inflation Rates, Interest Rates	Shared: Quant, Data Visualizations, Portfolio, Correlation, Backtesting, Risk Metrics, Data APIs Unique: Watchlist, Factor Exposure, Stock Comparison, ETF Comparison, Screeners, ETF Screeners, APIs & SDKs
Asset types Supported asset classes and universes	Stocks, ETFs, Commodities, Currencies, Mutual 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	Web, API
Pricing High-level pricing models	Free	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Interactive Efficient Frontier (mean–variance) widget for quick visualization. Compare-assets widget covering returns, drawdowns, CVaR, and correlations. Portfolio widget built on adjusted monthly data for risk/return analysis. Python library supports mean–variance optimization, rebalancing scenarios, backtesting, and advanced risk metrics such as VaR, CVaR, semideviation, and drawdowns. Monte Carlo simulations and wealth-index forecasts with percentile bands. Free end-of-day market and macroeconomic data via API, including equities, ETFs, mutual funds, commodities, currencies, indexes, inflation, policy rates, and CAPE10 ratios.	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	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do okama and PortfoliosLab both support?

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

Do okama and PortfoliosLab require subscriptions?

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

How can you access okama and PortfoliosLab?

Both okama 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?

okama differentiates itself with Interactive Efficient Frontier (mean–variance) widget for quick visualization., Compare-assets widget covering returns, drawdowns, CVaR, and correlations., and Portfolio widget built on adjusted monthly data for risk/return analysis., 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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