# io.github.the-staq/tradestaq-mcp

> Use this tool when you need to automate and optimize cryptocurrency trading with AI-powered strategies, backtesting, and portfolio management. It solves problems related to manual trading, risk management, and portfolio optimization, providing inputs such as market data and trading parameters, and outputs like trading signals and performance metrics. Ideal for crypto traders and investors seeking to streamline their trading processes and improve returns.

Canonical page: https://skillsregistry.net/skills/io-github-the-staq-tradestaq-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-the-staq-tradestaq-mcp

## Description

AI-powered crypto trading tools. Strategies, backtests, bots, and portfolio management.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.the-staq%2Ftradestaq-mcp)
- **Repository:** <https://github.com/the-staq/tradestaq-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": "io-github-the-staq-tradestaq-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-the-staq-tradestaq-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-the-staq-tradestaq-mcp/pull`

---
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