Volume Wall Detector

Provides real-time stock volume analysis, volume-wall detection, imbalance tracking, and after-hours analysis with MongoDB persistence.

javascript

GitHub Stars

javascript

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

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

You can run the Volume Wall Detector MCP Server locally to analyze real-time stock trading volume, identify volume walls, track trading imbalances, and analyze after-hours activity, all with MongoDB-based persistence. This MCP server integrates with any MCP client and exposes data and insights in a secure, two-way workflow.

How to use

You interact with the Volume Wall Detector MCP Server through your MCP client. Start the server locally, connect to it from your client, and query for real-time volume analyses, volume wall detections, and trading imbalance insights. You can also access historical data stored in MongoDB and tailor the fetch window (e.g., number of trades, days of history) to your analysis needs. If you operate after-hours, you can review those results as part of your workflow.

How to install

Prerequisites you need before installing: a running MongoDB instance, access to a stock market API, and Node.js (version 20 or higher). You may also want Git if you plan to clone repositories. Follow the steps below to install and start the server using NPX, or install via Smithery for client integrations.

# Run the MCP server directly with NPX
npx -y volume-wall-detector-mcp@latest

# Optional: install for Claude Desktop via Smithery
npx -y @smithery/cli install volume-wall-detector-mcp --client claude

Additional configuration and usage notes

Configure your MCP client to connect to the Volume Wall Detector MCP Server using a standard stdio setup. The server runs via NPX and accepts environment variables to customize the connection, database, and data fetch settings.

Available tools

Real-time volume analysis

Analyzes current trading volume against historical baselines to identify unusual activity.

Volume walls detection

Detects significant price levels driven by volume thresholds to flag potential support/resistance zones.

Trading imbalance tracking

Monitors buy vs sell pressure to detect imbalances that may indicate shifts in sentiment.

After-hours analysis

Analyzes data outside regular market hours to reveal extended trends and anomalies.

MongoDB persistence

Stores historical data and analysis results in a MongoDB database for retrieval and auditing.

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