VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View FINVIZ View QuantRocket Back to Home

Head-to-head

FINVIZ vs QuantRocket comparison

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

Quick takeaways

FINVIZ adds Data Visualizations, Portfolio, Watchlist, News, Alerts, Financials, ETF Overview, ETF Holdings, Insider Data, 13F, Short Interest, and Options coverage that QuantRocket skips.

QuantRocket includes Quant, Auto-Trading & Bots, Advanced Order Types, Paper Trading, and Broker Connectors categories that FINVIZ omits.

FINVIZ highlights: Coverage focused on U.S. equities (NYSE, Nasdaq, Amex). Free data delayed 15–20 minutes; Elite adds real-time plus pre- and after-hours trading sessions., Stock screener supports both fundamental and technical filters. Elite expands functionality with 20+ additional filters and raises saved presets from 50 to 200., and Visualization tools include Heat Maps and Groups, with real-time updates for Elite users..

QuantRocket is known for: 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..

FINVIZ

finviz.com

Editor’s pick Hands-on review

A popular stock screener and charting platform best known for its heat maps, visualization tools, and simple interface. The Free tier is ad-supported with delayed U.S. market data, while FINVIZ Elite unlocks real-time quotes (including pre- and after-hours), intraday chart layouts, backtesting, ETF full-holdings, exports and APIs, alerts, and larger portfolio/watchlist limits. Coverage is U.S. equities only. Elite includes a 7-day free trial with no credit card required.

Platforms

Web

API

Pricing

Free

Subscription

Quick highlights

Coverage focused on U.S. equities (NYSE, Nasdaq, Amex). Free data delayed 15–20 minutes; Elite adds real-time plus pre- and after-hours trading sessions.
Stock screener supports both fundamental and technical filters. Elite expands functionality with 20+ additional filters and raises saved presets from 50 to 200.
Visualization tools include Heat Maps and Groups, with real-time updates for Elite users.
Portfolio and watchlist management with email and push alerts for price changes, news, ratings, insider activity, and SEC filings. Elite increases limits to 100 portfolios and 500 tickers per portfolio.
ETF research with full holdings breakdown, plus structural and performance metrics (Elite only).

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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.

Community votes (overall)

0% upvotes 0% downvotes

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Overlap

Shared focus areas

3 overlaps

Mutual strengths include Screeners, Backtesting, and Data APIs.

Where they differ

FINVIZ

Distinct strengths include:

Coverage focused on U.S. equities (NYSE, Nasdaq, Amex). Free data delayed 15–20 minutes; Elite adds real-time plus pre- and after-hours trading sessions.
Stock screener supports both fundamental and technical filters. Elite expands functionality with 20+ additional filters and raises saved presets from 50 to 200.
Visualization tools include Heat Maps and Groups, with real-time updates for Elite users.
Portfolio and watchlist management with email and push alerts for price changes, news, ratings, insider activity, and SEC filings. Elite increases limits to 100 portfolios and 500 tickers per portfolio.

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.

Feature-by-feature breakdown

Attribute	FINVIZ	QuantRocket
Categories Which research workflows each platform targets	Shared: Screeners, Backtesting, Data APIs Unique: Data Visualizations, Portfolio, Watchlist, News, Alerts, Financials, ETF Overview, ETF Holdings, Insider Data, 13F, Short Interest, Options	Shared: Screeners, Backtesting, Data APIs Unique: Quant, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors
Asset types Supported asset classes and universes	Stocks, ETFs, Options, Futures, Currencies, Cryptos	Stocks, ETFs, Futures, Currencies, Options
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web, API	Web, API
Pricing High-level pricing models	Free, Subscription	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Coverage focused on U.S. equities (NYSE, Nasdaq, Amex). Free data delayed 15–20 minutes; Elite adds real-time plus pre- and after-hours trading sessions. Stock screener supports both fundamental and technical filters. Elite expands functionality with 20+ additional filters and raises saved presets from 50 to 200. Visualization tools include Heat Maps and Groups, with real-time updates for Elite users. Portfolio and watchlist management with email and push alerts for price changes, news, ratings, insider activity, and SEC filings. Elite increases limits to 100 portfolios and 500 tickers per portfolio. ETF research with full holdings breakdown, plus structural and performance metrics (Elite only). Exports and APIs for Screener, Portfolios, Groups, Options Chains, and News; sample code available for Google Sheets, Python, and JavaScript (Elite).	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.
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 FINVIZ and QuantRocket both support?

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

Do FINVIZ and QuantRocket require subscriptions?

Both FINVIZ and QuantRocket keep freemium access with optional paid upgrades, so you can trial each platform before committing.

How can you access FINVIZ and QuantRocket?

Both FINVIZ and QuantRocket 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?

FINVIZ differentiates itself with Coverage focused on U.S. equities (NYSE, Nasdaq, Amex). Free data delayed 15–20 minutes; Elite adds real-time plus pre- and after-hours trading sessions., Stock screener supports both fundamental and technical filters. Elite expands functionality with 20+ additional filters and raises saved presets from 50 to 200., and Visualization tools include Heat Maps and Groups, with real-time updates for Elite users., whereas QuantRocket stands out for 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..

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