# crypto-quant-platform MCP server

> crypto-quant-platform MCP server — fetklokan2-crypto-quant-platform. Use this tool when you need to research and validate crypto trading strategies through backtesting, walk-forward validation, and paper trading. It solves problems of overfitting and strategy optimization by providing a deflated-Sharpe overfitting check and natural-language-driven analysis of performance. The platform accepts trading strategies and market data as inputs and outputs performance metrics and recommendations for improvement.

Canonical page: https://skillsregistry.net/skills/fetklokan2-crypto-quant-platform  
JSON: https://api.skillsregistry.net/v1/skills/fetklokan2-crypto-quant-platform

## Description

Provides tools to research crypto trading strategies via backtesting, walk-forward validation, and paper trading, with a deflated-Sharpe overfitting check. Enables natural-language-driven analysis and interpretation of strategy performance.

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **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/yxrtvm5rpu)
- **Repository:** <https://github.com/FETKlOkAn2/crypto-quant-platform>

## 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": "fetklokan2-crypto-quant-platform"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fetklokan2-crypto-quant-platform` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fetklokan2-crypto-quant-platform/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