Volume Wall Detector MCP Server 📊

Created By

Cognitive-Stacka year ago

Volume Wall Detector MCP delivers real-time stock volume analysis and imbalance tracking with MongoDB storage, powered by the open Model Context Protocol (MCP).

Overview Content Tools Comments

Overview

What is Volume Wall Detector MCP?

Volume Wall Detector MCP is a server that provides real-time stock volume analysis and imbalance tracking, utilizing MongoDB for data storage and powered by the open Model Context Protocol (MCP).

How to use Volume Wall Detector MCP?

To use the Volume Wall Detector MCP, ensure you have a running MongoDB instance and stock market API access. You can install it using NPX or via Smithery for automatic installation with compatible MCP clients.

Key features of Volume Wall Detector MCP?

Real-time stock trading volume analysis
Detection of significant price levels (volume walls)
Trading imbalance tracking and analysis
After-hours trading analysis
MongoDB-based data persistence

Use cases of Volume Wall Detector MCP?

Analyzing stock trading volumes in real-time.
Identifying key price levels for trading strategies.
Monitoring trading imbalances to inform investment decisions.

FAQ from Volume Wall Detector MCP?

What is the Model Context Protocol (MCP)?

MCP is an open standard that allows AI systems to interact with various data sources and tools securely.

Is there a specific MongoDB version required?

The server is compatible with any MongoDB version that supports the required features.

Can I use this with any MCP client?

Yes! It is designed to work seamlessly with any MCP client.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

Cognitive-Stack

Star

2

Language

Python

License

-

Category

research-and-data

Tags

Homepage

https://github.com/Cognitive-Stack/volume-wall-detector-mcp

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