# Volume Wall Detector

> Use this tool when you need to analyze stock trading data in real-time to identify significant price levels and understand market structure. It solves problems such as identifying potential price reversal points and analyzing buying/selling pressure by providing inputs like order book data and recent trades, and outputs like volume and value imbalances and key support/resistance levels. Ideal for traders seeking to inform their investment decisions with data-driven insights on market activity and trends.

Canonical page: https://skillsregistry.net/skills/cognitive-stack-volume-wall-detector  
JSON: https://api.skillsregistry.net/v1/skills/cognitive-stack-volume-wall-detector

## Description

Volume Wall Detector MCP Server provides real-time analysis of stock trading data to identify significant price levels (volume walls) where substantial trading activity occurs. Built with TypeScript and MongoDB integration, it offers tools for fetching order book data, retrieving recent trades, and analyzing volume distribution across price points. The server calculates volume and value imbalances, tracks regular and after-hours trading patterns, and identifies key support/resistance levels based on accumulated trading activity. Particularly valuable for traders seeking to understand market structure, identify potential price reversal points, and analyze buying/selling pressure at different price levels.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cognitive-stack-volume-wall-detector)
- **Repository:** <https://github.com/cognitive-stack/volume-wall-detector-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cognitive-stack-volume-wall-detector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognitive-stack-volume-wall-detector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognitive-stack-volume-wall-detector/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt