Volume Wall Detector MCP
V

Volume Wall Detector MCP

The Volume Wall Detector MCP is a stock trading volume analysis server based on the MCP protocol, providing functions such as real-time trading volume analysis, price level detection, and trading imbalance tracking, and supporting connections with multiple MCP clients.
2.5 points
6.5K

What is the Volume Wall Detector?

The Volume Wall Detector is a professional stock market analysis tool specifically designed to detect trading volume concentration areas (Volume Walls) and trading imbalance phenomena. It connects to various AI clients through the Model Context Protocol (MCP) to provide data support for trading decisions.

How to use the Volume Wall Detector?

Simply install the server using simple commands and then configure the connection in supported clients (such as Cline, Cursor, or Claude Desktop) to start using it. The server will automatically analyze market data and provide real-time insights.

Applicable scenarios

Suitable for stock traders, quantitative analysts, and financial AI systems, especially for intraday trading strategy formulation, support and resistance level identification, and market sentiment analysis.

Main features

Real-time trading volume analysis
Continuously monitor and analyze stock trading volume data to identify abnormal trading activities
Price level detection
Automatically detect price levels with concentrated trading volume (Volume Walls) to help identify key support and resistance levels
Trading imbalance tracking
Monitor the imbalance between buy and sell orders to predict potential price movements
After-hours trading analysis
Provide specialized analysis of after-hours trading activities to capture market trends outside of regular trading hours
Data persistence
Use MongoDB to store historical data, supporting long-term trend analysis and backtesting
Advantages
Seamlessly integrated with multiple AI clients, including Cline, Cursor, and Claude Desktop
Real-time data processing capability with low latency
Flexible configuration options to meet the needs of different trading strategies
Open-source protocol with strong scalability
Limitations
Requires self-configuration of the MongoDB database
Depends on external stock market API data sources
Initial configuration may be complex for non-technical users

How to use

Install the server
Run directly via npm or install using the Smithery tool
Configure the database
Ensure that the MongoDB instance is running and configure the correct connection parameters
Set up the client connection
Add the Volume Wall Detector server configuration to the AI client you are using
Start analysis
Send query requests through the client to obtain market analysis data

Usage examples

Identify key support levels
Determine the key support price levels of a stock by analyzing trading volume concentration areas
After-hours trading analysis
Evaluate the impact of after-hours trading activities on the next day's opening
Trading imbalance warning
Monitor the imbalance between buy and sell orders to predict short-term price trends

Frequently Asked Questions

Does the Volume Wall Detector require a paid subscription?
Which stock markets are supported?
What is the data update frequency?
How to verify if the server is running normally?
Does it support cryptocurrency market analysis?

Related resources

Official documentation of the MCP protocol
Complete technical specifications of the Model Context Protocol
GitHub repository
Source code and issue tracking for the Volume Wall Detector
MongoDB installation guide
How to set up a MongoDB database
List of stock market API providers
Recommended stock market data API services

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "volume-wall-detector-mcp": {
      "command": "npx",
      "args": ["-y", "volume-wall-detector-mcp@latest"],
      "env": {
        "TIMEZONE": "GMT+7",
        "API_BASE_URL": "your-api-url-here",
        "MONGO_HOST": "localhost",
        "MONGO_PORT": "27017",
        "MONGO_DATABASE": "volume_wall_detector",
        "MONGO_USER": "admin",
        "MONGO_PASSWORD": "password",
        "MONGO_AUTH_SOURCE": "admin",
        "MONGO_AUTH_MECHANISM": "SCRAM-SHA-1",
        "PAGE_SIZE": "50",
        "TRADES_TO_FETCH": "10000",
        "DAYS_TO_FETCH": "1",
        "TRANSPORT_TYPE": "stdio",
        "PORT": "8080"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "volume-wall-detector-mcp": {
      "command": "npx",
      "args": ["-y", "volume-wall-detector-mcp@latest"],
      "env": {
        "TIMEZONE": "GMT+7",
        "API_BASE_URL": "your-api-url-here",
        "MONGO_HOST": "localhost",
        "MONGO_PORT": "27017",
        "MONGO_DATABASE": "volume_wall_detector",
        "MONGO_USER": "admin",
        "MONGO_PASSWORD": "password",
        "MONGO_AUTH_SOURCE": "admin",
        "MONGO_AUTH_MECHANISM": "SCRAM-SHA-1",
        "PAGE_SIZE": "50",
        "TRADES_TO_FETCH": "10000",
        "DAYS_TO_FETCH": "1",
        "TRANSPORT_TYPE": "stdio",
        "PORT": "8080"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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