FRED (Federal Reserve Economic Data) adds Calendar, Unemployment Rates, GDP, PMI / ISM, Housing & Construction, Retail Sales, Consumer Sentiment, Yield Curves, Real Yields, APIs & SDKs, and Sheets / Excel Add-ins coverage that okama skips.
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Sunday, October 5, 2025
Head-to-head
FRED (Federal Reserve Economic Data) vs okama comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
okama includes Quant, Portfolio, Correlation, Backtesting, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, and ETF Performance categories that FRED (Federal Reserve Economic Data) omits.
FRED (Federal Reserve Economic Data) highlights: Access to over 840,000 time series from more than 100 official and third-party sources, all browsable and downloadable online., Official REST API covering both FRED and ALFRED, with endpoints for categories, releases, series, and sources., and Flexible output formats including JSON, XML, Excel, and CSV for easy integration..
okama is known 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..
FRED (Federal Reserve Economic Data) ships a mobile app. okama is web/desktop only.
FRED (Federal Reserve Economic Data)
fred.stlouisfed.org
One of the most trusted sources of macroeconomic and market data worldwide. FRED offers free access to charts, releases, Excel add-ins, and a public API. An API key (free) is required, with standard rate limits. ALFRED, the companion service, provides vintage datasets so you can see what was known at any point in time.
Categories
Platforms
Pricing
Quick highlights
- Access to over 840,000 time series from more than 100 official and third-party sources, all browsable and downloadable online.
- Official REST API covering both FRED and ALFRED, with endpoints for categories, releases, series, and sources.
- Flexible output formats including JSON, XML, Excel, and CSV for easy integration.
- ALFRED (the archival database) provides point-in-time vintages, letting you track historical revisions exactly as they were published.
- Maps API delivers regional datasets with GeoJSON shapefiles for states, counties, MSAs, and more.
Community votes (overall)
okama
okama.io
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.
Categories
Platforms
Pricing
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)
Shared focus areas
4 overlapsMutual strengths include Data APIs, Data Visualizations, and Inflation Rates plus 1 more area.
Where they differ
FRED (Federal Reserve Economic Data)
Distinct strengths include:
- Access to over 840,000 time series from more than 100 official and third-party sources, all browsable and downloadable online.
- Official REST API covering both FRED and ALFRED, with endpoints for categories, releases, series, and sources.
- Flexible output formats including JSON, XML, Excel, and CSV for easy integration.
- ALFRED (the archival database) provides point-in-time vintages, letting you track historical revisions exactly as they were published.
okama
Distinct strengths include:
- 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 | FRED (Federal Reserve Economic Data) | okama |
---|---|---|
Categories Which research workflows each platform targets | Shared: Data APIs, Data Visualizations, Inflation Rates, Interest Rates Unique: Calendar, Unemployment Rates, GDP, PMI / ISM, Housing & Construction, Retail Sales, Consumer Sentiment, Yield Curves, Real Yields, APIs & SDKs, Sheets / Excel Add-ins | Shared: Data APIs, Data Visualizations, Inflation Rates, Interest Rates Unique: Quant, Portfolio, Correlation, Backtesting, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, ETF Performance |
Asset types Supported asset classes and universes | Bonds, Commodities, Currencies, Stocks, 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, Mobile, API | Web, API |
Pricing High-level pricing models | Free | Free |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
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 FRED (Federal Reserve Economic Data) and okama both support?
Both platforms cover Data APIs, Data Visualizations, Inflation Rates, and Interest Rates workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do FRED (Federal Reserve Economic Data) and okama require subscriptions?
Both FRED (Federal Reserve Economic Data) and okama keep freemium access with optional paid upgrades, so you can trial each platform before committing.
Which tool has mobile access?
FRED (Federal Reserve Economic Data) ships a dedicated mobile experience, while okama focuses on web or desktop access.
What unique strengths set the two platforms apart?
FRED (Federal Reserve Economic Data) differentiates itself with Access to over 840,000 time series from more than 100 official and third-party sources, all browsable and downloadable online., Official REST API covering both FRED and ALFRED, with endpoints for categories, releases, series, and sources., and Flexible output formats including JSON, XML, Excel, and CSV for easy integration., 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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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.