# XTQuant AI

> Use this tool when you need to leverage AI-driven financial analysis and trading strategies for quantitative investment approaches. It solves problems related to programmatic stock market interactions, enabling users to integrate AI capabilities into their trading workflows. The XTQuant AI tool takes in Python-based inputs and outputs quantitative trading strategies, making it ideal for use cases involving automated stock market analysis and decision-making.

Canonical page: https://skillsregistry.net/skills/davidfnck-xtquant-ai  
JSON: https://api.skillsregistry.net/v1/skills/davidfnck-xtquant-ai

## Description

A lightweight MCP server for quantitative trading using the XTQuant API, enabling AI-driven financial analysis and trading strategies. Developed by davidfnck, this tool provides a Python-based integration for programmatic stock market interactions, with a focus on leveraging AI capabilities for quantitative investment approaches.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-05-21

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/davidfnck-xtquant-ai)
- **Repository:** <https://github.com/dfkai/xtquantai>

## 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": "davidfnck-xtquant-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidfnck-xtquant-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidfnck-xtquant-ai/pull`

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