Indicator Go is a Go library offering a broad suite of technical analysis indicators and strategies, designed for algorithmic trading. It provides a robust backtesting framework, enabling users to evaluate trading strategies on historical data. The library utilizes Go's concurrency features to efficiently process data streams and offers configurable indicators and strategies, allowing for flexible customization. It supports various data formats and integrates with MCP (Multi-Client Protocol Server) for use with AI tools.
Key features include a complete rewrite for improved code coverage, dedicated test data for each indicator, and support for data streams. All indicators and strategies are fully configurable, and generics are utilized for compatibility with different numeric data formats. MCP support allows seamless integration with AI tools, expanding the library's applications.
- Indicator Library: 80+ technical indicators covering trend, momentum, volatility, and volume analysis.
- Backtesting Framework: Allows users to develop and test trading strategies against historical data.
- Strategy Implementation: Provides pre-built strategies for common trading approaches.
- Configuration Flexibility: All indicators and strategies are fully configurable with customizable parameters.
- Data Stream Support: Designed to operate on data streams for efficient processing.
- Generics: Supports various numeric data formats for broader applicability.
- MCP Integration: Facilitates use with various AI tools via the Multi-Client Protocol Server.
The project is actively maintained, with recent updates focusing on code quality improvements and expanded functionality. The documentation includes detailed explanations and examples for each indicator and strategy. Regular commits and active issue resolution suggest a healthy development lifecycle and a responsive community presence.
This project benefits traders, financial analysts, and developers who need a powerful and flexible technical analysis library for algorithmic trading. It simplifies the development and testing of trading strategies by offering a wide range of indicators and a robust backtesting platform. It provides a value-added solution over manual analysis and existing tools by offering a comprehensive, customizable, and easily integrated framework.