# quant.ai

> Use this tool when you need to analyze US stocks and generate explainable ratings, support, and stop levels for informed investment decisions. It solves problems of stock research and discussion by providing AI-driven insights and reasoning for any given ticker. The quant.ai tool accepts stock tickers as input and outputs actionable ratings, levels, and explanations, making it ideal for use cases requiring data-driven stock analysis and discussion within chat interfaces.

Canonical page: https://skillsregistry.net/skills/tingdeliu-quant-ai  
JSON: https://api.skillsregistry.net/v1/skills/tingdeliu-quant-ai

## Description

MCP server for US stock quant research that provides explainable ratings, support/stop levels, and reasoning for any ticker. It enables AI assistants to analyze and discuss stocks inline within the same chat.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/makxcsksai)
- **Repository:** <https://github.com/TingdeLiu/quant.ai>

## 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": "tingdeliu-quant-ai"
    }
  }
}
```

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