MCP-based stock chart search engine

MCP-Based Stock Chart Search Engine

This repository provides an MCP server designed for a chart library. Its primary function is to enable searching for similar historical stock charts and to facilitate the prediction of future stock movements based on these patterns. This tool is built for developers working with financial data and AI-driven analysis.

What it Does

The core functionality revolves around analyzing historical stock chart data. By leveraging MCP (Message Passing Control) protocols, the server allows for efficient querying of a chart library. Users can input a specific stock chart pattern and the engine will return historically similar charts. This similarity search is the foundation for its predictive capabilities, aiming to identify trends and potential future price actions.

Key Features

• MCP Server Implementation: Built on the MCP framework for robust inter-process communication.
• Chart Similarity Search: Algorithms designed to find historical charts that closely match a given input pattern.
• Predictive Analysis: Utilizes identified historical patterns to forecast potential future stock movements.
• Developer-Focused: Designed for integration into custom AI and financial analysis workflows.
• Open Source: Available on GitHub for inspection, modification, and contribution.

Who it's For

This tool is intended for AI developers , quantitative analysts , and financial engineers . If you are building systems that require historical chart pattern recognition for stock market analysis, or if you are developing predictive models based on financial time series data, this MCP server can serve as a valuable component. It is particularly useful for those who need a programmatic way to search and leverage historical chart similarities for forecasting.