VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View okama View Reflexivity Back to Home

Head-to-head

okama vs Reflexivity comparison

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

Quick takeaways

okama adds Data Visualizations, Correlation, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, ETF Performance, Inflation Rates, and Interest Rates coverage that Reflexivity skips.

Reflexivity includes Screeners, Performance Attribution, Scenario & Stress Tests, Alerts, News, Transcripts, AI, AI Chat, AI Report, and APIs & SDKs categories that okama omits.

okama highlights: 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..

Reflexivity is known for: Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts., Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports., and Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs..

okama has a free tier, while Reflexivity requires a paid plan.

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

Web

API

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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Reflexivity

reflexivity.com

Reflexivity is a sales-led enterprise platform (annual subscription) designed for institutions. Deep Research features are still in beta and not enabled for all accounts. All listed data sources (S&P Global, Refinitiv, Nasdaq, Cboe, etc.) are included out of the box—no separate contracts required.

Platforms

Web

API

Pricing

Subscription

Quick highlights

Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts.
Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports.
Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs.
Portfolio Insights delivers real-time alerts, risk/exposure analytics, and performance attribution. Portfolios can be replicated via manual entry or file upload. The system produces over 1,500 daily insights spanning 40k+ assets, 250+ indicators, and 20 years of history.
Scenario Analysis allows backtesting and stress testing with 50+ years of historical market data. Users can model custom scenarios and view results in real time.

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Overlap

Shared focus areas

4 overlaps

Mutual strengths include Quant, Portfolio, and Backtesting plus 1 more area.

Where they differ

okama

Distinct strengths include:

Data Visualizations

Correlation

Risk Metrics (VaR/ES/Drawdown)

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.

Reflexivity

Distinct strengths include:

Screeners

Performance Attribution

Scenario & Stress Tests

Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts.
Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports.
Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs.
Portfolio Insights delivers real-time alerts, risk/exposure analytics, and performance attribution. Portfolios can be replicated via manual entry or file upload. The system produces over 1,500 daily insights spanning 40k+ assets, 250+ indicators, and 20 years of history.

Feature-by-feature breakdown

Attribute	okama	Reflexivity
Categories Which research workflows each platform targets	Shared: Quant, Portfolio, Backtesting, Data APIs Unique: Data Visualizations, Correlation, Risk Metrics (VaR/ES/Drawdown), Monte Carlo, ETF Performance, Inflation Rates, Interest Rates	Shared: Quant, Portfolio, Backtesting, Data APIs Unique: Screeners, Performance Attribution, Scenario & Stress Tests, Alerts, News, Transcripts, AI, AI Chat, AI Report, APIs & SDKs
Asset types Supported asset classes and universes	Stocks, ETFs, Commodities, Currencies, Mutual Funds	Stocks, ETFs, Bonds, Commodities, Currencies
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Intermediate, Advanced
Platforms Where you can access the product	Web, API	Web, API
Pricing High-level pricing models	Free	Subscription
Key features Core capabilities called out by each vendor	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.	Unique Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts. Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports. Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs. Portfolio Insights delivers real-time alerts, risk/exposure analytics, and performance attribution. Portfolios can be replicated via manual entry or file upload. The system produces over 1,500 daily insights spanning 40k+ assets, 250+ indicators, and 20 years of history. Scenario Analysis allows backtesting and stress testing with 50+ years of historical market data. Users can model custom scenarios and view results in real time. Smart Screening across 40k+ global securities with thematic, fundamental, technical, and ESG filters, plus unique criteria like insider trades, government trades, and management changes.
Tested Verified by hands-on testing inside Find My Moat	Yes	Not yet
Editor pick Featured inside curated shortlists	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do okama and Reflexivity both support?

Both platforms cover Quant, Portfolio, Backtesting, and Data APIs workflows, so you can research those use cases in either tool before digging into the feature differences below.

Which tool offers a free plan?

okama offers a free entry point, while Reflexivity requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access okama and Reflexivity?

Both okama and Reflexivity 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?

okama differentiates itself with 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., whereas Reflexivity stands out for Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts., Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports., and Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs..

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Stay on top of related tools

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