Tool Comparison
Global Factor Data (JKP Factors) vs okama
- Paid from
- —
- Free plan
- Yes
- Platforms
- Web, Other
Best if
- You want factor exposure.
- Paid from
- —
- Free plan
- Yes
- Platforms
- Web, API
Best if
- You want an API so you can script or automate things
- You want portfolio, correlation, and backtesting.
- You're newer to investing and want something approachable
Pick Global Factor Data (JKP Factors) instead if
Global Factor Data (JKP Factors)
Free · Web · Other
- You want factor exposure.
Start here
okama
Free · Web · API
- You want an API so you can script or automate things
- You want portfolio, correlation, and backtesting.
- You're newer to investing and want something approachable
Skip both if: Neither one clicks with how you research; there are strong third options.
See alternativesOther tools you might like
Outbound links may include affiliate or sponsor codes.
Not set on either one? See the top 50 tools, ranked by user votes, or the deals page for big discounts on popular tools.
Our take
The bottom line
Global Factor Data (JKP Factors) and okama cover a lot of the same ground (3 shared categories, APIs & data feeds, quant, and data visualizations), so for the basics you won't go far wrong with either. okama simply does more: 10 categories to Global Factor Data (JKP Factors)'s 4, including portfolio, correlation, and backtesting. Global Factor Data (JKP Factors) counters by being completely free.
What readers say
Global Factor Data (JKP Factors)
No votes yet. Cast the first one.
okama
No votes yet. Cast the first one.
Key differences at a glance
- Asset coverage
- okamaAdds ETFs and commodities
- Broader coverage
- okama10 vs 4 categories
- API access
- okama
- Beginner friendly
- okama
- Free plan
- Both
What Global Factor Data (JKP Factors) does best
- The download tool covers 153 factor portfolios in 13 themes, 93 countries, and four regions.
- Factor returns are excess returns in US dollars with daily or monthly frequency and multiple weighting methods where available.
- Downloads also include low, middle, and high sorted portfolios, GICS and Fama-French industry returns, breakpoints, cutoffs, and factor mappings.
- Analysis pages compare annualized return, volatility, Sharpe ratio, information ratio, alpha, beta, and cumulative performance.
- Monthly stock-level characteristics are distributed through WRDS and require an eligible institutional subscription.
What okama does best
- Web widgets for efficient frontier visualization, asset comparison, and adjusted monthly portfolio risk/return analysis.
- Python tools for constrained mean-variance optimization, multi-period efficient frontiers, rebalancing constraints, and portfolio simulations.
- Risk analysis with VaR, CVaR, semideviation, drawdowns, volatility, correlations, and related statistics.
- Monte Carlo simulations and wealth-index forecasts with percentile bands.
- Contribution and withdrawal modeling for portfolio paths and retirement scenarios.
Side by side
Pricing comparison
See for yourself
Side by side
Price, platforms, data, and market coverage.ShowHide
Side by side
| Attribute | ||
|---|---|---|
| Pricing & plans | ||
Starting price | Free | Free |
Free tier | Yes | Yes |
Free trial | — | — |
Plan limits | Free (non-commercial license): license: CC BY-NC 4.0; commercial use requires separate permission. | — |
| Platforms & access | ||
Web app | Yes | Yes |
Mobile app | No | No |
API access | No | Yes |
Broker sync | — | No |
Integrations | WRDS and GitHub | — |
| Audience & fit | ||
Experience level | Advanced | Beginner, Intermediate, Advanced |
Best for | Quants/Developers, Analysts +1 more | — |
Categories covered | 4 | 10 |
Regions | North America, Europe, APAC, LatAm, Middle East, Africa | North America, Europe, APAC, Middle East |
| Data & capabilities | ||
Data quality | Granularity: EOD | 3 signals: Latency: End of Day, Granularity: EOD +1 more |
Data partners | 3 partners: WRDS, CRSP +1 more | — |
Capabilities | — | 4 signals: VaR/ES, Monte Carlo +2 more |
| Try it | Visit Global Factor Data (JKP Factors) | Visit okama |
Standout features
The best features of Global Factor Data (JKP Factors) and okama.ShowHide
Standout features
What Global Factor Data (JKP Factors) does best
- The download tool covers 153 factor portfolios in 13 themes, 93 countries, and four regions.
- Factor returns are excess returns in US dollars with daily or monthly frequency and multiple weighting methods where available.
- Downloads also include low, middle, and high sorted portfolios, GICS and Fama-French industry returns, breakpoints, cutoffs, and factor mappings.
- Analysis pages compare annualized return, volatility, Sharpe ratio, information ratio, alpha, beta, and cumulative performance.
- Monthly stock-level characteristics are distributed through WRDS and require an eligible institutional subscription.
What okama does best
- Web widgets for efficient frontier visualization, asset comparison, and adjusted monthly portfolio risk/return analysis.
- Python tools for constrained mean-variance optimization, multi-period efficient frontiers, rebalancing constraints, and portfolio simulations.
- Risk analysis with VaR, CVaR, semideviation, drawdowns, volatility, correlations, and related statistics.
- Monte Carlo simulations and wealth-index forecasts with percentile bands.
- Contribution and withdrawal modeling for portfolio paths and retirement scenarios.
All details
Every attribute we track for Global Factor Data (JKP Factors) and okama.ShowHide
All details
| Attribute | ||
|---|---|---|
| Coverage & fit | ||
Asset types | Stocks | StocksETFsCommoditiesCurrenciesMutual Funds |
Experience | Advanced | BeginnerIntermediateAdvanced |
Target audience | Quants/DevelopersAnalystsStudents/Researchers | Not specified |
Regions | North AmericaEuropeAPACLatAmMiddle EastAfrica | North AmericaEuropeAPACMiddle East |
Coverage details | Not specified | Identifiers: Ticker |
| Data | ||
Data freshness | Not specified | End of Day |
Data granularity | EOD | EOD |
Data partners | WRDSCRSPCompustat | Not specified |
| Access & integrations | ||
API protocols | Not specified | REST |
API auth & delivery | Not specified | Auth: NoneSDKs: Python |
Integrations | WRDSGitHub | Not specified |
| Plans & trust | ||
Capability signals | Not specified | VaR/ESMonte CarloRebalancingCorrelation |
Vendor & support | Global Factor Data (Jensen, Kelly, Pedersen)Support: Forum and Email | MBK Development LLCSupport: Forum |
Curation ratings | Not specified | Methodology 4/5Reliability 4/5UX 3/5 |
Green tags are exclusive to that tool in this comparison.
Pricing
Plans, billing, free trials, and monthly prices.ShowHide
Pricing
| Tier | ||
|---|---|---|
| Free plan | Free“Free (non-commercial license)”license: CC BY-NC 4.0; commercial use requires separate permission. | Free |
Questions we keep getting
What's the difference between Global Factor Data (JKP Factors) and okama?
Global Factor Data (JKP Factors) leans toward APIs & data feeds, quant, and data visualizations, while okama puts more weight on quant, data visualizations, and portfolio. They overlap in 3 categories, so for most people it comes down to workflow preference and price.
How much do Global Factor Data (JKP Factors) and okama cost?
Good news: both Global Factor Data (JKP Factors) and okama have free plans, so you can run them side by side and only pay if you hit a wall.
Which is better for beginners: Global Factor Data (JKP Factors) or okama?
okama is the friendlier place to start; its interface takes less getting used to. Both work fine once you're past the basics.
Does Global Factor Data (JKP Factors) or okama have an API?
okama has an API for programmatic access and custom integrations. Global Factor Data (JKP Factors) doesn't, so you're working through its interface.
Should I choose Global Factor Data (JKP Factors) or okama?
It depends on what you're after. Pick Global Factor Data (JKP Factors) if factor exposure matter to you; go with okama if you'd rather have portfolio and correlation. And if you only need the basics both share, let price decide.
What asset classes do Global Factor Data (JKP Factors) and okama cover?
Both cover stocks. okama adds ETFs, commodities, and currencies on top.
Can I track my portfolio with Global Factor Data (JKP Factors) or okama?
okama handles portfolio tracking. Global Factor Data (JKP Factors) is really a research tool; you'd track your portfolio elsewhere.
Keep researching
Other tools you might like
Keep Exploring
Feedback
Spot stale pricing, missing features, or a comparison that feels off? Send feedback on the verdict, table, alternatives, or recommendation.
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.