# crypto-quant-signal-mcp

> Use this tool when you need to analyze and generate signals for cryptocurrency markets, solving problems such as identifying trends and making informed investment decisions. It takes in market data and outputs quantitative signals, providing a programmable interface for integration with trading systems. Ideal for use in algorithmic trading, portfolio optimization, and risk management contexts.

Canonical page: https://skillsregistry.net/skills/algovault-crypto-quant-signal-mcp  
JSON: https://api.skillsregistry.net/v1/skills/algovault-crypto-quant-signal-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/algovault/crypto-quant-signal-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": "algovault-crypto-quant-signal-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/algovault-crypto-quant-signal-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/algovault-crypto-quant-signal-mcp/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