# QuantVibe

> QuantVibe — ax3lsk3r3-quantvibe. Use this tool when you need to automate and optimize quantitative trading strategies using AI and machine learning algorithms. QuantVibe solves problems related to institutional trading, data feed integration, and strategy execution, accepting inputs from Bloomberg feeds and outputting trading signals to MetaTrader 5. It is ideal for use in contexts where data-driven trading decisions and high-performance strategy execution are critical.

Canonical page: https://skillsregistry.net/skills/ax3lsk3r3-quantvibe  
JSON: https://api.skillsregistry.net/v1/skills/ax3lsk3r3-quantvibe

## Description

Institutional Quantitative Trading & AI Platform: Microsoft Qlib (Alpha158 + LightGBM), MetaTrader 5 EA Bridge, Bloomberg Feed & FastMCP Agent. Live Demo: https://quantvibeapp.com

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Ax3lsk3r3/QuantVibe)

## 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": "ax3lsk3r3-quantvibe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ax3lsk3r3-quantvibe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ax3lsk3r3-quantvibe/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