Bank of England (Statistics & Data) adds Central Bank Watcher, Yield Curves, Real Yields, GDP, and Calendar coverage that okama skips.
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Monday, October 6, 2025
Head-to-head
Bank of England (Statistics & Data) vs okama comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
okama includes Quant, Data Visualizations, Portfolio, Correlation, Backtesting, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, ETF Performance, and Inflation Rates categories that Bank of England (Statistics & Data) omits.
Bank of England (Statistics & Data) highlights: Statistical Database to browse, visualize, and export Bank of England data series., Programmatic downloads supported via documented endpoints for CSV, Excel, HTML, and XML, with options for tabular or columnar formatting and inclusion of revisions/footnotes., and Official Bank Rate history page with on-page export tools (copy, CSV, Excel, print)..
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..
Bank of England (Statistics & Data)
bankofengland.co.uk
Free central bank data portal covering UK interest rates, yield curves, macroeconomic indicators, and daily reference series. The Statistical Database supports programmatic downloads in CSV, Excel, and XML via documented query parameters, while yield-curve data are published daily but not accessible by API. GBP daily spot rates are provided on an indicative basis, typically updated by 09:30 within two working days.
Platforms
Pricing
Quick highlights
- Statistical Database to browse, visualize, and export Bank of England data series.
- Programmatic downloads supported via documented endpoints for CSV, Excel, HTML, and XML, with options for tabular or columnar formatting and inclusion of revisions/footnotes.
- Official Bank Rate history page with on-page export tools (copy, CSV, Excel, print).
- Daily UK yield curves covering gilts (nominal and real), implied inflation, and OIS rates, published by noon the next business day with archives available as ZIP files. Yield-curve data are not exposed through an API.
- SONIA benchmark administered and published by the Bank every London business day.
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
2 overlapsMutual strengths include Interest Rates, and Data APIs.
Where they differ
Bank of England (Statistics & Data)
Distinct strengths include:
- Statistical Database to browse, visualize, and export Bank of England data series.
- Programmatic downloads supported via documented endpoints for CSV, Excel, HTML, and XML, with options for tabular or columnar formatting and inclusion of revisions/footnotes.
- Official Bank Rate history page with on-page export tools (copy, CSV, Excel, print).
- Daily UK yield curves covering gilts (nominal and real), implied inflation, and OIS rates, published by noon the next business day with archives available as ZIP files. Yield-curve data are not exposed through an API.
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 | Bank of England (Statistics & Data) | okama |
---|---|---|
Categories Which research workflows each platform targets | Shared: Interest Rates, Data APIs Unique: Central Bank Watcher, Yield Curves, Real Yields, GDP, Calendar | Shared: Interest Rates, Data APIs Unique: Quant, Data Visualizations, Portfolio, Correlation, Backtesting, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, ETF Performance, Inflation Rates |
Asset types Supported asset classes and universes | Bonds, Currencies | 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, 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 Bank of England (Statistics & Data) and okama both support?
Both platforms cover Interest Rates, and Data APIs workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Bank of England (Statistics & Data) and okama require subscriptions?
Both Bank of England (Statistics & Data) and okama keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access Bank of England (Statistics & Data) and okama?
Both Bank of England (Statistics & Data) 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?
Bank of England (Statistics & Data) differentiates itself with Statistical Database to browse, visualize, and export Bank of England data series., Programmatic downloads supported via documented endpoints for CSV, Excel, HTML, and XML, with options for tabular or columnar formatting and inclusion of revisions/footnotes., and Official Bank Rate history page with on-page export tools (copy, CSV, Excel, print)., 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.