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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.

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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.

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