Agentic trading pipeline with Claude Code and MCP connector

Agentic Trading Pipeline with Claude Code and MCP Connector

This repository provides an agentic trading pipeline designed for developers building sophisticated AI-driven trading systems. It leverages Claude Code for intelligent decision-making and integrates with an MCP connector to execute trades. The core focus is on establishing a mechanical and auditable framework for risk management, ensuring predictable and traceable trading operations.

What it Does

This tool facilitates the creation of an automated trading agent. It processes market data, makes trading decisions based on predefined logic and AI models (specifically utilizing Claude Code), and then executes those decisions through an MCP (Multi-Party Computation) connector. The pipeline is engineered for transparency, allowing for the auditing of every trading action and the underlying risk parameters that governed it.

Key Features

• AI-Powered Decision Making: Utilizes Claude Code for advanced strategy development and trade signal generation.
• MCP Integration: Connects to an MCP system for secure and auditable trade execution.
• Auditable Risk Rules: Implements mechanical, verifiable risk management protocols.
• Developer-Focused: Designed for integration into existing or new trading infrastructure.
• Pipeline Architecture: Provides a structured approach to building complex trading agents.

Who it's For

This agentic trading pipeline is intended for AI developers , quantitative traders , and financial engineers who are building or looking to enhance their automated trading systems. It is particularly useful for those who require a robust, auditable, and transparent method for executing trades based on AI-generated signals while maintaining strict control over risk parameters. If you are working with large language models for financial applications and need a reliable execution layer, this tool is relevant.