zvt
A modular quantitative finance framework for data collection, analysis, strategy backtesting, and machine learning across multiple markets.
What is zvt?
ZVT is a modular quantitative finance framework that provides tools for data collection, persistence, analysis, and strategy backtesting across multiple financial markets. It solves the problem of fragmented financial data and analysis by offering a unified system to handle tradable entities, compute factors, and test trading ideas.
Quantitative developers, algorithmic traders, and financial data scientists who need a structured, extensible framework for market analysis and strategy development.
Developers choose ZVT for its modular design, multi-market data support, and integrated machine learning capabilities, allowing rapid prototyping and testing of trading strategies without managing disparate data sources.
Overview
modular quant framework.
Use Cases
Best For
- Backtesting trading strategies on Chinese, US, or Hong Kong stocks
- Building custom financial data pipelines with multiple provider support
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
