VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Monday, October 13, 2025

View AmiBroker View Reflexivity Back to Home

Head-to-head

AmiBroker vs Reflexivity comparison

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

Quick takeaways

AmiBroker adds Data Visualizations, Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Correlation, and Auto-Trading & Bots coverage that Reflexivity skips.

Reflexivity includes Performance Attribution, Scenario & Stress Tests, Portfolio, Alerts, News, Data APIs, Transcripts, AI, AI Chat, and AI Report 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)..

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..

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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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, Backtesting, and Screeners plus 1 more area.

Where they differ

AmiBroker

Distinct strengths include:

Data Visualizations

Monte Carlo

Risk Metrics (VaR/ES/Drawdown)

Correlation

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.

Reflexivity

Distinct strengths include:

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	AmiBroker	Reflexivity
Categories Which research workflows each platform targets	Shared: Quant, Backtesting, Screeners, APIs & SDKs Unique: Data Visualizations, Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Correlation, Auto-Trading & Bots	Shared: Quant, Backtesting, Screeners, APIs & SDKs Unique: Performance Attribution, Scenario & Stress Tests, Portfolio, Alerts, News, Data APIs, Transcripts, AI, AI Chat, AI Report
Asset types Supported asset classes and universes	Stocks, ETFs, Mutual Funds, Futures, Currencies	Stocks, ETFs, Bonds, Commodities, Currencies
Experience levels Who each product is built for	Intermediate, Advanced	Intermediate, Advanced
Platforms Where you can access the product	Desktop	Web, API
Pricing High-level pricing models	One-time	Subscription
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 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	Not yet	Not yet
Editor pick Featured inside curated shortlists	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do AmiBroker and Reflexivity both support?

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

Do AmiBroker and Reflexivity require subscriptions?

Neither platform maintains a free tier. Budget for a subscription to unlock the research coverage highlighted in this comparison.

How can you access AmiBroker and Reflexivity?

Both AmiBroker 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?

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 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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