gpu computeQuick Start ↓
Get Started with zipline
Pythonic algorithmic trading library for backtesting and live trading.
Getting Started
1
Read the official documentation
The zipline team maintains comprehensive docs that cover installation, configuration, and common patterns.
Open zipline Docs↗2
Create an account
Visit the zipline website to create your account and explore pricing options.
Visit zipline↗3
Review strengths, tradeoffs, and alternatives
Our full tool profile covers zipline's strengths, weaknesses, pricing, and how it compares to alternatives.
View full profile→Best For
Developers building custom quantitative trading algorithms who need a robust Python library for both backtesting and live deployment.
Academics and researchers studying financial markets with historical data analysis capabilities.