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Volume Wall Detector

The Volume Wall Detector MCP Server is a stock trading analysis tool based on the Model Context Protocol, providing functions such as real-time trading volume analysis, price level detection, and trading imbalance tracking, and supporting access from multiple MCP clients.
2.5 points
13

What is the Volume Wall Detector MCP Server?

The Volume Wall Detector MCP Server is a real-time stock data analysis tool based on the Model Context Protocol (MCP). It helps users monitor trading volume fluctuations in the stock market, identify significant price levels (known as 'volume walls'), and track trading imbalances between buyers and sellers. Additionally, the server supports historical data storage and after-hours trading analysis.

How to use the Volume Wall Detector MCP Server?

Users can connect to the Volume Wall Detector MCP Server by configuring client software (such as Cline, Cursor, or Claude Desktop). After configuration, the server will automatically start analyzing real-time trading data and generating relevant reports.

Applicable Scenarios

This server is ideal for professional investors who need to monitor stock market dynamics in real-time, quantitative analysts, and individual users interested in high-frequency trading.

Main Features

Real-time Trading Volume AnalysisMonitor trading volume fluctuations in the stock market in real-time and quickly detect abnormal changes.
Volume Wall DetectionIdentify significant price levels to help users judge market sentiment and potential trading opportunities.
Trading Imbalance TrackingAnalyze the trading volume difference between buyers and sellers to predict market trends.
After-hours Trading AnalysisProvide in-depth insights into after-hours trading to assist decision-making.
MongoDB Data PersistenceStore historical trading data in a MongoDB database for long-term analysis.

Advantages and Limitations

Advantages
High real-time performance with rapid data updates.
Supports integration with multiple clients, offering good compatibility.
Powerful data storage capacity for easy historical backtracking.
Easy to configure and simple to operate.
Limitations
Requires a stable MongoDB instance for support.
Relies on external APIs to obtain real-time market data.
May have certain requirements for server performance under high concurrency.

How to Use

Install the MCP Server
Install the Volume Wall Detector MCP Server via npm or other methods.
Configure the Client
Set the relevant parameters of the MCP Server according to the client you are using (Cline, Cursor, or Claude Desktop).
Start the Server
After completing the configuration, start the MCP Server to begin operation.

Usage Examples

Example 1: Real-time Monitoring of Trading Volume PeaksUsers can use the Volume Wall Detector MCP Server to monitor the trading volume changes of a certain stock in real-time and receive an alert when the trading volume reaches a specific threshold.
Example 2: Analysis of Historical Trading DataBy connecting to the MongoDB database, users can easily view the trading records of the past few days to help formulate investment strategies.

Frequently Asked Questions

How to ensure the normal operation of the server?
Does it support simultaneous connection of multiple clients?
How to handle high-concurrency requests?

Related Resources

GitHub Repository
The official GitHub repository containing source code and documentation.
User Manual
A detailed user manual covering all functions and configuration instructions.
Demo Video
Shows how to quickly get started with the Volume Wall Detector MCP Server.
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"
      }
    }
  }
}
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