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Introduction

Welcome to the Investing Algorithm Framework documentation! This framework provides a comprehensive platform for creating, testing, and deploying algorithmic trading strategies.

What is the Investing Algorithm Framework?​

The Investing Algorithm Framework is a Python-based library designed to help developers and traders build sophisticated algorithmic trading systems. It provides:

  • Strategy Development: Tools for creating and implementing trading strategies
  • Backtesting: Comprehensive backtesting capabilities with both event-based and vector-based approaches
  • Data Management: Integration with multiple data sources and providers
  • Order Management: Advanced order execution and portfolio management
  • Performance Analysis: Detailed analytics and metrics for strategy evaluation
  • Deployment: Production-ready deployment capabilities

Key Features​

📈 Strategy Framework​

Build trading strategies using our flexible strategy framework that supports various trading approaches.

🔄 Backtesting Engine​

Test your strategies against historical data using our powerful backtesting engine with realistic market simulation.

📊 Data Integration​

Connect to multiple data sources including cryptocurrencies, stocks, and other financial instruments.

⚡ Performance Optimized​

Built for performance with efficient data processing and strategy execution.

🛠 Production Ready​

Deploy your strategies in production environments with confidence.

Getting Started​

Ready to start building your first trading algorithm? Head over to our Installation Guide to get up and running in minutes!

Community & Support​

Let's dive in and start building your algorithmic trading system!