VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Saturday, September 27, 2025
Investors comparing Portfolio123 and Reflexivity will find that Both Portfolio123 and Reflexivity concentrate on Screeners, Quant, and Backtesting workflows, making them natural alternatives for similar investment research jobs. Portfolio123 leans into Correlation, Calendar, and Broker Connectors, which can be decisive for teams that need depth over breadth. Reflexivity stands out with Performance Attribution, Scenario & Stress Tests, and Alerts that the competition lacks. Use the feature-by-feature table to inspect unique capabilities and confirm which roadmap best maps to your process.
Head-to-head
Portfolio123 vs Reflexivity
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 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., and Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging..
- 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..
- Portfolio123 has a free tier, while Reflexivity requires a paid plan.
Portfolio123
portfolio123.com
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.
Categories
Platforms
Pricing
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).
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.
Categories
Platforms
Pricing
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.
Shared focus areas
Both platforms align on these research themes, so you can stay within one workflow when your use case involves them.
Where they differ
Portfolio123
Distinct strengths include:
- 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:
- 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
| Unique
|
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..
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.