VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View QuantConnect View Reflexivity Back to Home

Head-to-head

QuantConnect vs Reflexivity comparison

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

Quick takeaways

QuantConnect adds Paper Trading, Auto-Trading & Bots, and Options & Derivatives coverage that Reflexivity skips.

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

QuantConnect highlights: Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers., Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud., and Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX..

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..

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

QuantConnect

quantconnect.com

QuantConnect runs on the open-source LEAN engine, giving quants and systematic traders a unified workflow from research to backtesting to live deployment. You can run everything locally or in the cloud. Historical data down to tick and second resolution is available on paid tiers, and live-trading notifications scale by plan (from a handful per hour to thousands). Some broker and data feeds—like Trading Technologies futures or premium vendors—are only unlocked at higher tiers.

Platforms

Web

Desktop

API

Pricing

Free

Subscription

Quick highlights

Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.
Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON.

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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

3 overlaps

Mutual strengths include Quant, Backtesting, and APIs & SDKs.

Where they differ

QuantConnect

Distinct strengths include:

Paper Trading

Auto-Trading & Bots

Options & Derivatives

Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.

Reflexivity

Distinct strengths include:

Screeners

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	QuantConnect	Reflexivity
Categories Which research workflows each platform targets	Shared: Quant, Backtesting, APIs & SDKs Unique: Paper Trading, Auto-Trading & Bots, Options & Derivatives	Shared: Quant, Backtesting, APIs & SDKs Unique: Screeners, 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, Options, Futures, Currencies, Cryptos	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 Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers. Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud. Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX. Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors. Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON. Cloud API and Lean CLI for managing projects, running backtests, deploying live strategies, and pulling reports programmatically.	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 QuantConnect and Reflexivity both support?

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

Which tool offers a free plan?

QuantConnect 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 QuantConnect and Reflexivity?

Both QuantConnect 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?

QuantConnect differentiates itself with Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers., Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud., and Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX., 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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