zvtvz/zvt

modular quant framework.

70
/ 100
Verified

This framework helps quantitative traders and analysts develop and test stock trading strategies efficiently. You feed it historical market data, define your trading logic and factors, and it outputs visual insights, backtesting results, and predictions. It's designed for individuals creating automated trading systems or exploring market behaviors.

4,015 stars. Available on PyPI.

Use this if you are a quant researcher or trader looking to build, backtest, and visualize algorithmic trading strategies using historical and real-time stock data.

Not ideal if you are looking for a simple, out-of-the-box trading robot without needing to define custom strategies or understand Python code.

quantitative-trading algorithmic-strategy stock-market-analysis backtesting financial-data
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 25 / 25

How are scores calculated?

Stars

4,015

Forks

972

Language

Python

License

MIT

Last pushed

Mar 07, 2026

Commits (30d)

0

Dependencies

19

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