Bank of Japan (BOJ) — Statistics & Monetary Policy adds Central Bank Watcher, and Calendar coverage that okama skips.
VOL. XCIV, NO. 247
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Sunday, October 5, 2025
Head-to-head
Bank of Japan (BOJ) — Statistics & Monetary Policy 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, Data APIs, and ETF Performance categories that Bank of Japan (BOJ) — Statistics & Monetary Policy omits.
Bank of Japan (BOJ) — Statistics & Monetary Policy highlights: BOJ-STAT time-series database covering official economic and financial statistics, updated multiple times per day., Detailed release schedule that specifies which datasets are posted to BOJ-STAT around 08:50 JST on release days., and Public release calendar of upcoming statistical publications, refreshed weekly..
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 Japan (BOJ) — Statistics & Monetary Policy
boj.or.jp
Japan’s central bank portal for monetary policy releases and official statistics. The BOJ-STAT database provides searchable time series, and bulk 'Flat File' downloads make it easy to access major datasets. Release calendars include exact posting times, with many key updates appearing around 08:50 JST.
Platforms
Pricing
Quick highlights
- BOJ-STAT time-series database covering official economic and financial statistics, updated multiple times per day.
- Detailed release schedule that specifies which datasets are posted to BOJ-STAT around 08:50 JST on release days.
- Public release calendar of upcoming statistical publications, refreshed weekly.
- Call Money Market data including the uncollateralized overnight call rate (TONA), with provisional figures at market close and final updates the next morning.
- Bulk 'Flat Files' for core datasets such as CGPI, SPPI, IOPI, Flow of Funds, Tankan survey, balance of payments, and BIS statistics, provided in CSV with standardized filenames.
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 Inflation Rates.
Where they differ
Bank of Japan (BOJ) — Statistics & Monetary Policy
Distinct strengths include:
- BOJ-STAT time-series database covering official economic and financial statistics, updated multiple times per day.
- Detailed release schedule that specifies which datasets are posted to BOJ-STAT around 08:50 JST on release days.
- Public release calendar of upcoming statistical publications, refreshed weekly.
- Call Money Market data including the uncollateralized overnight call rate (TONA), with provisional figures at market close and final updates the next morning.
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 Japan (BOJ) — Statistics & Monetary Policy | okama |
---|---|---|
Categories Which research workflows each platform targets | Shared: Interest Rates, Inflation Rates Unique: Central Bank Watcher, Calendar | Shared: Interest Rates, Inflation Rates Unique: Quant, Data Visualizations, Portfolio, Correlation, Backtesting, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, Data APIs, ETF Performance |
Asset types Supported asset classes and universes | 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
| 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 Japan (BOJ) — Statistics & Monetary Policy and okama both support?
Both platforms cover Interest Rates, and Inflation Rates workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Bank of Japan (BOJ) — Statistics & Monetary Policy and okama require subscriptions?
Both Bank of Japan (BOJ) — Statistics & Monetary Policy and okama keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access Bank of Japan (BOJ) — Statistics & Monetary Policy and okama?
Both Bank of Japan (BOJ) — Statistics & Monetary Policy 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 Japan (BOJ) — Statistics & Monetary Policy differentiates itself with BOJ-STAT time-series database covering official economic and financial statistics, updated multiple times per day., Detailed release schedule that specifies which datasets are posted to BOJ-STAT around 08:50 JST on release days., and Public release calendar of upcoming statistical publications, refreshed weekly., 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.