Detects real-time stock trading volume imbalances and significant price levels using MongoDB storage.
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.