Investing Algorithm Framework
Build, backtest, and deploy automated trading strategies with Python
Screenshots
A closer look at the product interface and key surfaces.
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At a glance
- Primary use case
- Build, backtest, and deploy automated trading strategies with Python
- Best for
- Stock Market — Crypto Trading, Stock Market
- Stack
- CSS, HTML, javascript, jinja
- License
- Apache-2.0
- Maintenance
- 3 hours ago
- Access
- Open source · Self-hosted
About this tool
Investing Algorithm Framework is a comprehensive Python toolkit for quantitative trading. It enables developers to design, backtest at scale, and deploy automated trading bots for stock and crypto markets without rewriting any underlying code.
Repository
2,128
308
77
Apache-2.0
3 hours ago
Features
- Enables users to develop trading strategies once and deploy them to live markets without changes.
- Provides high performance vector and event-driven backtesting for strategy validation.
- Includes an interactive dashboard to inspect trading results and performance metrics.
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Published 1 hour ago