VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Monday, October 13, 2025

View AmiBroker View okama Back to Home

Head-to-head

AmiBroker vs okama comparison

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

Quick takeaways

AmiBroker adds Screeners, APIs & SDKs, and Auto-Trading & Bots coverage that okama skips.

okama includes Portfolio, Data APIs, ETF Performance, Inflation Rates, and Interest Rates categories that AmiBroker omits.

AmiBroker highlights: Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore., Walk‑forward testing integrated with optimization; in/out‑of‑sample stats., and Monte Carlo simulation (custom metrics can drive optimization/WF objective)..

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..

okama keeps a free entry point that AmiBroker lacks.

AmiBroker

amibroker.com

Windows desktop platform for technical/system research with a fast AFL scripting language, portfolio‑level backtester, walk‑forward testing, Monte Carlo, and extensive optimization. Real‑time capability and instrument coverage depend on the data plug‑ins you use (e.g., IQFeed, eSignal, Interactive Brokers, Norgate Data). Auto‑trading to IB is available via the official interface. Licenses are perpetual with 24 months of updates.

Platforms

Desktop

Pricing

One-time

Quick highlights

Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore.
Walk‑forward testing integrated with optimization; in/out‑of‑sample stats.
Monte Carlo simulation (custom metrics can drive optimization/WF objective).
Very fast multi‑threaded optimization with 3D optimization surface visualization.
Exploration/Scanner to build custom screeners and reports via AFL.

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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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Overlap

Shared focus areas

6 overlaps

Mutual strengths include Quant, Backtesting, and Data Visualizations plus 3 more areas.

Where they differ

AmiBroker

Distinct strengths include:

Screeners

APIs & SDKs

Auto-Trading & Bots

Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore.
Walk‑forward testing integrated with optimization; in/out‑of‑sample stats.
Monte Carlo simulation (custom metrics can drive optimization/WF objective).
Very fast multi‑threaded optimization with 3D optimization surface visualization.

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	AmiBroker	okama
Categories Which research workflows each platform targets	Shared: Quant, Backtesting, Data Visualizations, Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Correlation Unique: Screeners, APIs & SDKs, Auto-Trading & Bots	Shared: Quant, Backtesting, Data Visualizations, Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Correlation Unique: Portfolio, Data APIs, ETF Performance, Inflation Rates, Interest Rates
Asset types Supported asset classes and universes	Stocks, ETFs, Mutual Funds, Futures, Currencies	Stocks, ETFs, Commodities, Currencies, Mutual Funds
Experience levels Who each product is built for	Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Desktop	Web, API
Pricing High-level pricing models	One-time	Free
Key features Core capabilities called out by each vendor	Unique Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore. Walk‑forward testing integrated with optimization; in/out‑of‑sample stats. Monte Carlo simulation (custom metrics can drive optimization/WF objective). Very fast multi‑threaded optimization with 3D optimization surface visualization. Exploration/Scanner to build custom screeners and reports via AFL. Rich AFL scripting language for indicators, scans, backtests, and custom metrics; visual debugger.	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.
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 AmiBroker and okama both support?

Both platforms cover Quant, Backtesting, Data Visualizations, Monte Carlo, Risk Metrics (VaR/ES/Drawdown), and Correlation 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 AmiBroker requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access AmiBroker and okama?

Both AmiBroker 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?

AmiBroker differentiates itself with Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore., Walk‑forward testing integrated with optimization; in/out‑of‑sample stats., and Monte Carlo simulation (custom metrics can drive optimization/WF objective)., 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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