VOL. XCIV, NO. 247

★ A CURATED DIRECTORY OF FINANCIAL TOOLS AND RESOURCES ★

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Saturday, December 27, 2025

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Tool Comparison

okama vs Portfolio123 comparison

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

Quick takeaways

okama adds Risk Metrics, Monte Carlo, ETF Performance, and Inflation Rates coverage that Portfolio123 skips.

Portfolio123 includes Screeners, Stock Ideas, Watchlist, Financials, GDP, Unemployment Rates, Consumer Sentiment, Housing & Construction, APIs & SDKs, Broker Connectors, Education, Blogs, and Videos 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.

Community votes (overall)

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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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Where they differ

okama

Distinct strengths include:

Risk Metrics Monte Carlo ETF Performance Inflation 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.

Portfolio123

Distinct strengths include:

Screeners Stock Ideas Watchlist Financials GDP Unemployment Rates Consumer Sentiment Housing & Construction

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.

Feature-by-feature breakdown

Attribute	okama	Portfolio123
Categories Which research workflows each platform targets	Shared: Quant, Data Visualizations, Portfolio, Correlation, Backtesting, Data APIs, Interest Rates Unique: Risk Metrics, Monte Carlo, ETF Performance, Inflation Rates	Shared: Quant, Data Visualizations, Portfolio, Correlation, Backtesting, Data APIs, Interest Rates Unique: Screeners, Stock Ideas, Watchlist, Financials, GDP, Unemployment Rates, Consumer Sentiment, Housing & Construction, APIs & SDKs, Broker Connectors, Education, Blogs, Videos
Asset types Supported asset classes and universes	Stocks, ETFs, Commodities, Currencies, Mutual Funds	Stocks, ETFs, 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, API	Web, API, Desktop
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 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.
Tested Verified by hands-on testing inside Find My Moat	Yes	Yes
Editor pick Featured inside curated shortlists	Standard listing	Highlighted

Frequently Asked Questions

Which workflows do okama and Portfolio123 both support?

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

Do okama and Portfolio123 require subscriptions?

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

How can you access okama and Portfolio123?

Both okama and Portfolio123 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 Portfolio123 stands out for 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..

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