
Volume Wall Detector
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.
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.
What it does
- 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
Best for
About Volume Wall Detector
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
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.
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
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 🤖
- 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
- 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
- Open Cursor Settings
- Navigate to Open MCP
- Click on "Add New Global MCP Server"
- 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
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