VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View ORTEX View QuantRocket Back to Home

Head-to-head

ORTEX vs QuantRocket comparison

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

Quick takeaways

ORTEX adds Short Interest, Insider Data, Data Visualizations, Index Rebalancing, Money Flow, Options & Derivatives, Options, Analyst Recommendations, Analyst Price Targets, News, Calendar, US Government Trades, and Blogs coverage that QuantRocket skips.

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

ORTEX highlights: Short interest and lending analytics including utilization, cost to borrow, shares on loan, and percentage of free float on loan, with intraday and real-time estimates from a large pool of lenders and brokers., Official U.S. exchange-reported short interest (bi-monthly) and European flagged shorts, alongside lending-based estimates., and Options coverage with unusual activity and flow detection; OPRA-sourced data gated by user agreement to OPRA terms..

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..

ORTEX ships a mobile app. QuantRocket is web/desktop only.

ORTEX

public.ortex.com

Hands-on review

Analytics platform focused on short interest and securities lending, with additional coverage of options flow, insider trades, analyst views, and index rebalances. Offers a free tier with limited features, plus paid plans (Basic $39/mo, Advanced $129/mo). Options data is sourced from OPRA and requires agreeing to OPRA terms. API access is available with key-based authentication, and an Excel Add-in (beta) supports short interest data.

Platforms

Web

Mobile

API

Pricing

Free

Subscription

Quick highlights

Short interest and lending analytics including utilization, cost to borrow, shares on loan, and percentage of free float on loan, with intraday and real-time estimates from a large pool of lenders and brokers.
Official U.S. exchange-reported short interest (bi-monthly) and European flagged shorts, alongside lending-based estimates.
Options coverage with unusual activity and flow detection; OPRA-sourced data gated by user agreement to OPRA terms.
Alpha trading signals across themes like Short Squeeze, EPS, RSI, MACD, and Company Events, each with back-tested stats and intraday updates.
Configurable stock screener including short-interest columns; results can be exported.

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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.

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Overlap

Shared focus areas

3 overlaps

Mutual strengths include Quant, Data APIs, and Screeners.

Where they differ

ORTEX

Distinct strengths include:

Options & Derivatives

Options

Analyst Recommendations

Short interest and lending analytics including utilization, cost to borrow, shares on loan, and percentage of free float on loan, with intraday and real-time estimates from a large pool of lenders and brokers.
Official U.S. exchange-reported short interest (bi-monthly) and European flagged shorts, alongside lending-based estimates.
Options coverage with unusual activity and flow detection; OPRA-sourced data gated by user agreement to OPRA terms.
Alpha trading signals across themes like Short Squeeze, EPS, RSI, MACD, and Company Events, each with back-tested stats and intraday updates.

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	ORTEX	QuantRocket
Categories Which research workflows each platform targets	Shared: Quant, Data APIs, Screeners Unique: Short Interest, Insider Data, Data Visualizations, Index Rebalancing, Money Flow, Options & Derivatives, Options, Analyst Recommendations, Analyst Price Targets, News, Calendar, US Government Trades, Blogs	Shared: Quant, Data APIs, Screeners Unique: Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors
Asset types Supported asset classes and universes	Stocks, ETFs, Options	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, Mobile, API	Web, API
Pricing High-level pricing models	Free, Subscription	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Short interest and lending analytics including utilization, cost to borrow, shares on loan, and percentage of free float on loan, with intraday and real-time estimates from a large pool of lenders and brokers. Official U.S. exchange-reported short interest (bi-monthly) and European flagged shorts, alongside lending-based estimates. Options coverage with unusual activity and flow detection; OPRA-sourced data gated by user agreement to OPRA terms. Alpha trading signals across themes like Short Squeeze, EPS, RSI, MACD, and Company Events, each with back-tested stats and intraday updates. Configurable stock screener including short-interest columns; results can be exported. Live intraday charts with last price and bid/ask displayed.	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	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do ORTEX and QuantRocket both support?

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

Do ORTEX and QuantRocket require subscriptions?

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

Which tool has mobile access?

ORTEX ships a dedicated mobile experience, while QuantRocket focuses on web or desktop access.

What unique strengths set the two platforms apart?

ORTEX differentiates itself with Short interest and lending analytics including utilization, cost to borrow, shares on loan, and percentage of free float on loan, with intraday and real-time estimates from a large pool of lenders and brokers., Official U.S. exchange-reported short interest (bi-monthly) and European flagged shorts, alongside lending-based estimates., and Options coverage with unusual activity and flow detection; OPRA-sourced data gated by user agreement to OPRA terms., 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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