Free
$0For testing quant research infrastructure
- Research tools and sample backtests.
- Historical U.S. sample data.
- Research-only access.
VOL. XCIV, NO. 247
By Jera Value · Verified Sep 2026
QuantRocket is a technical stack for quantitative research and algorithmic trading. Run Docker services and Jupyter notebooks, build Python screens and strategy tests, and connect supported data sources or Interactive Brokers. APIs and CLI tools help you control local workflows. The free tier supplies research tools and sample data; Full Access adds current licensed datasets and paper or live trading. Expect installation, data configuration, and Python work rather than a turnkey interface.
Worth it if you build Python-based investment research and supported algorithmic trading workflows.
Skip it if you want a no-code stock screener or simple brokerage app.
QuantRocket
Web / API · How this site is funded
For testing quant research infrastructure
For full quantitative research and trading
Everything in Free, plus
Research environment
Run Docker services and Jupyter notebooks for quantitative analysis.
Historical strategies
Backtest using supported point-in-time datasets.
IBKR integration
Retrieve broker data and route eligible orders with paid trading access.
Live strategies
Full Access supports paper and live strategy deployment.
Tick capture
Store supported market data in TimescaleDB.
API and CLI
Query research results and control workflows through Houston APIs or command-line tools.
Not entirely. QuantRocket includes a free tier, but its paid subscription options unlock more capacity. Visit the vendor site for current limits and pricing.
It suits beginner, intermediate, and advanced users.
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.
QuantRocket covers North America, Europe, APAC, LatAm, Middle East, and Africa. It tracks Stocks, ETFs, Futures, Currencies, and Options. Identifiers include Ticker.
Domain Rating by Ahrefs
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