VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Tuesday, November 11, 2025

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Tool Comparison

Portfolio123 vs Reflexivity comparison

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

Quick takeaways

Portfolio123 adds Correlation, Calendar, Broker Connectors, and Data Visualizations coverage that Reflexivity skips.

Reflexivity includes Performance Attribution, Scenario & Stress Tests, Alerts, News, Transcripts, AI, AI Chat, and AI Report categories that Portfolio123 omits.

Portfolio123 has a free tier, while Reflexivity requires a paid plan.

In depth comparison

Portfolio123

portfolio123.com

Editor’s pick Hands-on review

Quant research and live-deployment platform with point-in-time fundamentals and estimates. Users can screen, backtest, and simulate strategies, then deploy them live with broker integrations. Supports API access and a no-code desktop DataMiner. FactSet or S&P Compustat licenses are required for full historical fundamentals.

Platforms

WebDesktopAPI

Pricing

FreeSubscription

Quick highlights

Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry.
Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data.
Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging.
‘Books’ feature to combine multiple strategies and view correlations between them.
Point-in-time fundamentals, estimates, and corporate actions with dividends handled on ex/pay dates (no survivorship bias or look-ahead).

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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

WebAPI

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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Where they differ

Portfolio123

Distinct strengths include:

Correlation Calendar Broker Connectors Data Visualizations

Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry.
Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data.
Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging.
‘Books’ feature to combine multiple strategies and view correlations between them.

Reflexivity

Distinct strengths include:

Performance Attribution Scenario & Stress Tests Alerts News Transcripts AI AI Chat AI Report

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	Portfolio123	Reflexivity
Categories Which research workflows each platform targets	Shared: Screeners, Quant, Backtesting, Portfolio, APIs & SDKs, Data APIs Unique: Correlation, Calendar, Broker Connectors, Data Visualizations	Shared: Screeners, Quant, Backtesting, Portfolio, APIs & SDKs, Data APIs Unique: Performance Attribution, Scenario & Stress Tests, Alerts, News, Transcripts, AI, AI Chat, AI Report
Asset types Supported asset classes and universes	Stocks, ETFs	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, Desktop, API	Web, API
Pricing High-level pricing models	Free, Subscription	Subscription
Key features Core capabilities called out by each vendor	Unique Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry. Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data. Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging. ‘Books’ feature to combine multiple strategies and view correlations between them. Point-in-time fundamentals, estimates, and corporate actions with dividends handled on ex/pay dates (no survivorship bias or look-ahead). Coverage of 15,000+ equities in the U.S., Canada, and Europe, including delisted stocks and spinoffs.	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	Highlighted	Standard listing

Frequently Asked Questions

Which workflows do Portfolio123 and Reflexivity both support?

Both platforms cover Screeners, Quant, Backtesting, Portfolio, APIs & SDKs, 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?

Portfolio123 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 Portfolio123 and Reflexivity?

Both Portfolio123 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?

Portfolio123 differentiates itself with Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry., Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data., and Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging., 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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