VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Thursday, December 4, 2025

Tool Comparison

QuantRocket vs Uncle Stock comparison

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

Quick takeaways

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

Uncle Stock includes Watchlist, Portfolio, Financials, Valuation Models, Scores, Checklist, and Education categories that QuantRocket omits.

In depth comparison

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

WebAPI

Pricing

FreeSubscription

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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Uncle Stock

unclestock.com

Hands-on review

Global, fundamentals‑first stock screener with detailed metrics and built‑in backtesting. Covers 60k+ stocks across all continents with up to ~35 years of US history (20 years elsewhere). US fundamentals from Sharadar; non‑US fundamentals and price history from EOD Historical Data. Prices are delayed; Nasdaq shows prior‑day when market is open. API access (Gold) delivers CSV/JSON with explicit rate limits.

Platforms

WebAPI

Pricing

FreeSubscription

Quick highlights

Screening with ~4k searchable metrics, full‑text business/industry search, market/country/sector filters, and index‑constituent filters.
Backtesting with annual/half‑year/quarterly rebalance, look‑ahead avoidance (uses only data known at rebalance time), position sizing (equal/volatility/expectation‑weighted), early‑sell rules (profit targets, stop loss), and risk stats (Sharpe/Sortino).
Transparent composite scores (e.g., Uncle Stock score, Quality/Value/Financial‑Health) plus Piotroski, ERP5, Benish M, Montier and more—formulas publicly documented.
Benchmarking vs S&P 500/other indices; industry medians and long‑history fundamentals.
Lightweight portfolio: positions, limits & email notifications (Gold).

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Where they differ

QuantRocket

Distinct strengths include:

Quant Auto-Trading & Bots Advanced Order Types Paper Trading Broker Connectors

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.

Uncle Stock

Distinct strengths include:

Watchlist Portfolio Financials Valuation Models Scores Checklist Education

Screening with ~4k searchable metrics, full‑text business/industry search, market/country/sector filters, and index‑constituent filters.
Backtesting with annual/half‑year/quarterly rebalance, look‑ahead avoidance (uses only data known at rebalance time), position sizing (equal/volatility/expectation‑weighted), early‑sell rules (profit targets, stop loss), and risk stats (Sharpe/Sortino).
Transparent composite scores (e.g., Uncle Stock score, Quality/Value/Financial‑Health) plus Piotroski, ERP5, Benish M, Montier and more—formulas publicly documented.
Benchmarking vs S&P 500/other indices; industry medians and long‑history fundamentals.

Feature-by-feature breakdown

Attribute	QuantRocket	Uncle Stock
Categories Which research workflows each platform targets	Shared: Screeners, Backtesting, Data APIs Unique: Quant, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors	Shared: Screeners, Backtesting, Data APIs Unique: Watchlist, Portfolio, Financials, Valuation Models, Scores, Checklist, Education
Asset types Supported asset classes and universes	Stocks, ETFs, Futures, Currencies, Options	Stocks, Cryptos
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	Free, 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 Screening with ~4k searchable metrics, full‑text business/industry search, market/country/sector filters, and index‑constituent filters. Backtesting with annual/half‑year/quarterly rebalance, look‑ahead avoidance (uses only data known at rebalance time), position sizing (equal/volatility/expectation‑weighted), early‑sell rules (profit targets, stop loss), and risk stats (Sharpe/Sortino). Transparent composite scores (e.g., Uncle Stock score, Quality/Value/Financial‑Health) plus Piotroski, ERP5, Benish M, Montier and more—formulas publicly documented. Benchmarking vs S&P 500/other indices; industry medians and long‑history fundamentals. Lightweight portfolio: positions, limits & email notifications (Gold). API (Gold): CSV/JSON endpoints for symbols, universes, indicators, saved queries, stock history; monthly cap 300 calls and 1 request/minute.
Tested Verified by hands-on testing inside Find My Moat	Not yet	Yes
Editor pick Featured inside curated shortlists	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do QuantRocket and Uncle Stock 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 QuantRocket and Uncle Stock require subscriptions?

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

How can you access QuantRocket and Uncle Stock?

Both QuantRocket and Uncle Stock 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 Uncle Stock stands out for Screening with ~4k searchable metrics, full‑text business/industry search, market/country/sector filters, and index‑constituent filters., Backtesting with annual/half‑year/quarterly rebalance, look‑ahead avoidance (uses only data known at rebalance time), position sizing (equal/volatility/expectation‑weighted), early‑sell rules (profit targets, stop loss), and risk stats (Sharpe/Sortino)., and Transparent composite scores (e.g., Uncle Stock score, Quality/Value/Financial‑Health) plus Piotroski, ERP5, Benish M, Montier and more—formulas publicly documented..

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