# doramagic-tradingview-mcp-pack

> doramagic-tradingview-mcp-pack — tangweigang-jpg-doramagic-tradingview-mcp-pack. Use this tool when you need to integrate AI agents with TradingView's MCP for automated trading decisions, solving problems related to algorithmic trading and market analysis. It provides a context pack with prompts, evaluations, and verification notes for agents like Claude Code and Codex. The pack takes in TradingView MCP data and outputs optimized trading strategies, making it ideal for use cases involving AI-driven trading and portfolio management.

Canonical page: https://skillsregistry.net/skills/tangweigang-jpg-doramagic-tradingview-mcp-pack  
JSON: https://api.skillsregistry.net/v1/skills/tangweigang-jpg-doramagic-tradingview-mcp-pack

## Description

Tradingview MCP AI context pack for Claude Code, Codex, Cursor, and Aider: AGENTS.md, CLAUDE.md, prompts, evals, pitfalls, and verification notes for atilaahmettaner/tradingview-mcp.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/tangweigang-jpg/doramagic-tradingview-mcp-pack)

## 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": "tangweigang-jpg-doramagic-tradingview-mcp-pack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tangweigang-jpg-doramagic-tradingview-mcp-pack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tangweigang-jpg-doramagic-tradingview-mcp-pack/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
