VOL. XCIV, NO. 247

★ A CURATED DIRECTORY OF FINANCIAL TOOLS ★

PRICE: 5 CENTS

Saturday, December 13, 2025

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Tool Comparison

Multpl vs okama comparison

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

Quick takeaways

Multpl adds GDP, Real Yields, and Financials coverage that okama skips.

okama includes Quant, Portfolio, Correlation, Backtesting, Risk Metrics, Monte Carlo, and ETF Performance categories that Multpl omits.

In depth comparison

Multpl

multpl.com

Free, lightweight site for long‑term charts and tables of S&P 500 valuation metrics (P/E, Shiller CAPE, P/S, P/B, earnings yield), dividends/earnings/sales per share, US Treasury rates & real yields, CPI/inflation, GDP, population and income stats. Each page cites original sources (S&P Global, US Treasury, BLS, BEA, Robert Shiller). Historical series are typically monthly/quarterly; many pages show the current value with an end‑of‑day timestamp. Multpl does not advertise a first‑party API, but much of its curated data is available as the **MULTPL** database on **Nasdaq Data Link (formerly Quandl)** with REST/CSV/JSON access.

Platforms

Web

Pricing

Free

Quick highlights

Clean charts + tabular views with ‘By month’ / ‘By year’ toggles for each series.
S&P 500 valuation dashboards: PE, Shiller CAPE (with FAQ), price‑to‑sales, price‑to‑book, earnings yield.
Macro breadth: CPI & inflation rate; GDP (real & nominal), growth rates, real GDP per‑capita; US Treasury tenors (1M–30Y) and real yields.
On‑page source disclosure and methodology notes (e.g., monthly averages for S&P price series; CAPE construction).
Homepage tile layout with live EOD stamps (e.g., '4:00 PM EDT') across popular series.

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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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Where they differ

Multpl

Distinct strengths include:

GDP Real Yields Financials

Clean charts + tabular views with ‘By month’ / ‘By year’ toggles for each series.
S&P 500 valuation dashboards: PE, Shiller CAPE (with FAQ), price‑to‑sales, price‑to‑book, earnings yield.
Macro breadth: CPI & inflation rate; GDP (real & nominal), growth rates, real GDP per‑capita; US Treasury tenors (1M–30Y) and real yields.
On‑page source disclosure and methodology notes (e.g., monthly averages for S&P price series; CAPE construction).

okama

Distinct strengths include:

Quant Portfolio Correlation Backtesting Risk Metrics Monte Carlo ETF Performance

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.

Feature-by-feature breakdown

Attribute	Multpl	okama
Categories Which research workflows each platform targets	Shared: Data Visualizations, Inflation Rates, Interest Rates, Data APIs Unique: GDP, Real Yields, Financials	Shared: Data Visualizations, Inflation Rates, Interest Rates, Data APIs Unique: Quant, Portfolio, Correlation, Backtesting, Risk Metrics, Monte Carlo, ETF Performance
Asset types Supported asset classes and universes	Stocks, Bonds, Other	Stocks, ETFs, Commodities, Currencies, Mutual 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	Free
Key features Core capabilities called out by each vendor	Unique Clean charts + tabular views with ‘By month’ / ‘By year’ toggles for each series. S&P 500 valuation dashboards: PE, Shiller CAPE (with FAQ), price‑to‑sales, price‑to‑book, earnings yield. Macro breadth: CPI & inflation rate; GDP (real & nominal), growth rates, real GDP per‑capita; US Treasury tenors (1M–30Y) and real yields. On‑page source disclosure and methodology notes (e.g., monthly averages for S&P price series; CAPE construction). Homepage tile layout with live EOD stamps (e.g., '4:00 PM EDT') across popular series. Programmatic alternative via Nasdaq Data Link ‘MULTPL’ datasets (REST API; CSV/JSON; SDKs in Python/R).	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.
Tested Verified by hands-on testing inside Find My Moat	Not yet	Yes
Editor pick Featured inside curated shortlists	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do Multpl and okama both support?

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

Do Multpl and okama require subscriptions?

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

How can you access Multpl and okama?

Both Multpl and okama 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?

Multpl differentiates itself with Clean charts + tabular views with ‘By month’ / ‘By year’ toggles for each series., S&P 500 valuation dashboards: PE, Shiller CAPE (with FAQ), price‑to‑sales, price‑to‑book, earnings yield., and Macro breadth: CPI & inflation rate; GDP (real & nominal), growth rates, real GDP per‑capita; US Treasury tenors (1M–30Y) and real yields., whereas okama stands out for 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..

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