VOL. XCIV, NO. 247
A CURATED DIRECTORY OF FINANCIAL TOOLS AND RESOURCES
QuantRocket Review, Pricing, and Features
QuantRocket
QuantRocket is a Docker and Jupyter quant stack for research, backtesting, data, and live trading. It suits technical Python users who want local infrastructure, Interactive Brokers integration, point-in-time data, and CLI or API workflows.
Best for
- Python quants looking for Docker/Jupyter research, backtesting, point-in-time screening, live trading, and Interactive Brokers integration.
- Algorithmic traders comparing QuantRocket with QuantConnect, OpenBB, AmiBroker, TradeStation, and broker-native APIs.
- Users valuing local infrastructure, CLI/Python/REST workflows, and bundled sample data before paying for full datasets and trading.
Watch out
- QuantRocket is Docker- and Jupyter-based, so it fits technical users better than point-and-click retail traders.
- Free access includes tools and sample data but no live or paper trading. Full datasets and trading require paid Full Access.
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Pricing
Free • Paid plans available · 2 plans
Free
Full Access
Key features
- Run research and backtests in a Docker-based platform built around Jupyter, Python clients, CLI tools, and REST services.
- Use the free tier for research and backtesting with a 2007-2011 survivorship-bias-free U.S. daily stock bundle and sample symbols.
- Full Access adds complete current datasets, paper trading, live trading, and licensed U.S. minute-bar data.
- Build point-in-time screening and ranking pipelines, with Alphalens and Pyfolio support for notebook analysis.
- Connect to Interactive Brokers for historical and real-time data across global exchanges and broker-connected trading.
- IBKR order support for algorithmic, parent-child, bracket, combo, spread, margin what-if, option greeks, and auction imbalance workflows.
- Stream tick-level data into TimescaleDB, expose WebSocket access, and aggregate bars flexibly for research and trading systems.
- The Houston REST API, Python client, and CLI to retrieve CSV or JSON data for downstream workflows.
- Docker and Jupyter setup, technical workflow design, login-gated Full Access pricing, and separate data costs add friction.
- QuantRocket is quant infrastructure, not a beginner broker app, investment advice service, hosted no-code screener, or guaranteed trading system.
FAQ
Is QuantRocket free?
Not entirely. QuantRocket includes a free tier, but its paid subscription options unlock more capacity. Visit the vendor site for current limits and pricing.
Who is QuantRocket best for?
It suits beginner, intermediate, and advanced users.
What platforms and connections does QuantRocket support?
You can use QuantRocket on Web. QuantRocket offers an API (REST and WebSocket) with None authentication. Integrations include Interactive Brokers, Alpaca, Polygon.io, Nasdaq Data Link, EDI, and Brain.
Which markets does QuantRocket cover?
QuantRocket covers North America, Europe, APAC, LatAm, Middle East, and Africa. It tracks Stocks, ETFs, Futures, Currencies, and Options. Identifiers include Ticker.
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Who runs this
I'm Jera Value, and I write every record here myself. I'm an independent investor who likes code and value investing, and I keep these notes because I use the tools for my own research. When a page is wrong, I fix it and say so.
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This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.