Volume Wall Detector
Detects real-time stock trading volume imbalances and significant price levels using MongoDB storage.
About
Volume Wall Detector analyzes real-time stock trading volume to identify significant price levels, known as volume walls, and tracks trading imbalances. By leveraging the open Model Context Protocol (MCP), it seamlessly integrates with various MCP clients like Cline, Cursor, and Claude Desktop. The server uses MongoDB for persistent data storage and provides valuable insights into after-hours trading activity.
Key Features
- Real-time stock trading volume analysis
- After-hours trading analysis
- Trading imbalance tracking and analysis
- 2 GitHub stars
- Detection of significant price levels (volume walls)
- MongoDB-based data persistence
Use Cases
- Monitoring imbalances in trading volume
- Identifying key price levels for trading decisions
- Analyzing after-hours trading activity