# DreamNet Trading Trappers

> DreamNet Trading Trappers — brandonducar-dreamnet-trading-trappers. Use this tool when you need to capture and validate market research, bundle trading strategies, and organize theses, entry conditions, targets, and invalidation criteria into structured Warper Keeper bundles. It solves problems of disorganized market research and inconsistent trading strategies by providing a standardized interface for inputting and outputting trading data. Ideal for use in contexts where agents require efficient management and validation of trading research and strategies.

Canonical page: https://skillsregistry.net/skills/brandonducar-dreamnet-trading-trappers  
JSON: https://api.skillsregistry.net/v1/skills/brandonducar-dreamnet-trading-trappers

## Description

Enables agents to capture and validate market research including theses, entry conditions, targets, and invalidation, and bundle them into Warper Keeper bundles.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e6yzpw4w8r)
- **Repository:** <https://github.com/BrandonDucar/dreamnet-trading-trappers>

## 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": "brandonducar-dreamnet-trading-trappers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brandonducar-dreamnet-trading-trappers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brandonducar-dreamnet-trading-trappers/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