VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View QuantRocket View Reflexivity Back to Home

Head-to-head

QuantRocket vs Reflexivity comparison

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

Quick takeaways

QuantRocket adds Auto-Trading & Bots, Advanced Order Types, Paper Trading, and Broker Connectors coverage that Reflexivity skips.

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

QuantRocket highlights: Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets..

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..

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

QuantRocket

quantrocket.com

A Docker-based research, backtesting, and live-trading platform built around Jupyter. The free tier is limited to research, while paid plans unlock live and paper trading along with bundled US minute-bar data. Broader global datasets are available via third-party providers. Its tight IBKR integration brings advanced order types, while real-time market data can be streamed from IBKR, Polygon, or Alpaca.

Platforms

Web

API

Pricing

Free

Subscription

Quick highlights

Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.
Streams tick-level data into TimescaleDB with WebSocket access, and allows flexible bar aggregation.

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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 Screeners, Quant, and Backtesting plus 1 more area.

Where they differ

QuantRocket

Distinct strengths include:

Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.

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	QuantRocket	Reflexivity
Categories Which research workflows each platform targets	Shared: Screeners, Quant, Backtesting, Data APIs Unique: Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors	Shared: Screeners, Quant, Backtesting, Data APIs Unique: Performance Attribution, Scenario & Stress Tests, Portfolio, Alerts, News, Transcripts, AI, AI Chat, AI Report, APIs & SDKs
Asset types Supported asset classes and universes	Stocks, ETFs, Futures, Currencies, Options	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	Subscription
Key features Core capabilities called out by each vendor	Unique Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca. Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter. Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets. Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data. Streams tick-level data into TimescaleDB with WebSocket access, and allows flexible bar aggregation. REST API ('Houston') with Python client and CLI tools; endpoints return CSV or JSON for easy downstream use.	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 QuantRocket and Reflexivity both support?

Both platforms cover Screeners, Quant, 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?

QuantRocket 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 QuantRocket and Reflexivity?

Both QuantRocket 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?

QuantRocket differentiates itself with Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets., 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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