financeanalytics-data

Volume Wall Detector

by cognitive-stack

Volume Wall Detector analyzes trading data to spot volume walls and key price levels for better market insights and pote

Analyzes stock trading data to identify volume walls and key price levels where significant trading activity occurs, providing traders with insights into market structure and potential reversal points.

github stars

6

Real-time volume analysisMongoDB data persistenceAfter-hours trading support

best for

  • / Day traders analyzing market structure
  • / Quantitative analysts studying order flow
  • / Algorithmic trading system development
  • / Market makers identifying support/resistance levels

capabilities

  • / Analyze real-time stock trading volumes
  • / Detect volume walls at key price levels
  • / Track trading imbalances and order flow
  • / Monitor after-hours trading activity
  • / Store trading data in MongoDB
  • / Identify potential price reversal points

what it does

Analyzes stock trading volume data to identify volume walls and significant price levels where heavy trading activity occurs. Helps traders spot potential market reversal points and understand market structure.

about

Volume Wall Detector is a community-built MCP server published by cognitive-stack that provides AI assistants with tools and capabilities via the Model Context Protocol. Volume Wall Detector analyzes trading data to spot volume walls and key price levels for better market insights and pote It is categorized under finance, analytics data.

how to install

You can install Volume Wall Detector in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Volume Wall Detector is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Volume Wall Detector MCP Server 📊

🔌 Compatible with Cline, Cursor, Claude Desktop, and any other MCP Clients!

Volume Wall Detector MCP works seamlessly with any MCP client

<p align="center"> <img src="vld-logo.png" width="300" alt="VLD Logo"> </p>

The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.

The Volume Wall Detector MCP server provides:

  • 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

Prerequisites 🔧

Before you begin, ensure you have:

  • MongoDB instance running
  • Stock market API access
  • Node.js (v20 or higher)
  • Git installed (only needed if using Git installation method)

Volume Wall Detector MCP Server Installation ⚡

Running with NPX

npx -y volume-wall-detector-mcp@latest

Installing via Smithery

To install Volume Wall Detector MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install volume-wall-detector-mcp --client claude

Configuring MCP Clients ⚙️

Configuring Cline 🤖

  1. Open the Cline MCP settings file:
# For macOS:
code ~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

# For Windows:
code %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
  1. Add the Volume Wall Detector server 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": []
    }
  }
}

Configuring Cursor 🖥️

Note: Requires Cursor version 0.45.6 or higher

  1. Open Cursor Settings
  2. Navigate to Open MCP
  3. Click on "Add New Global MCP Server"
  4. Fill out the following information:
    • Name: "volume-wall-detector-mcp"
    • Type: "command"
    • Command:
    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 npx -y volume-wall-detector-mcp@latest
    

Configuring Claude Desktop 🖥️

Create or edit the Claude Desktop configuration file:

For macOS:

code "$HOME/Library/Application Support/Claude/claude_desktop_config.json"

For Windows:

code %APPDATA%\Claude\claude_desktop_config.json

Add the 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"
      }
    }
  }
}

License

MIT

FAQ

What is the Volume Wall Detector MCP server?
Volume Wall Detector is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Volume Wall Detector?
This profile displays 41 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.841 reviews
  • Chaitanya Patil· Dec 24, 2024

    We evaluated Volume Wall Detector against two servers with overlapping tools; this profile had the clearer scope statement.

  • Ishan Anderson· Dec 20, 2024

    Volume Wall Detector has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Yusuf Huang· Dec 8, 2024

    Volume Wall Detector is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Naina Dixit· Dec 4, 2024

    According to our notes, Volume Wall Detector benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Evelyn Martinez· Nov 27, 2024

    According to our notes, Volume Wall Detector benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Piyush G· Nov 15, 2024

    Volume Wall Detector has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Fatima Taylor· Nov 11, 2024

    We evaluated Volume Wall Detector against two servers with overlapping tools; this profile had the clearer scope statement.

  • Sakura Mensah· Nov 7, 2024

    We wired Volume Wall Detector into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Sakura Kim· Oct 26, 2024

    Volume Wall Detector is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ira Taylor· Oct 18, 2024

    Volume Wall Detector has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

showing 1-10 of 41

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