# Quant Research Assistant

> Use this tool when you need to analyze financial markets and optimize investment portfolios with advanced quantitative methods. It solves problems related to risk assessment, market forecasting, and portfolio optimization by providing live financial analysis, backtesting, and simulation capabilities. The tool accepts natural language commands as input and outputs detailed financial metrics and optimized portfolio strategies.

Canonical page: https://skillsregistry.net/skills/irohan0-quant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/irohan0-quant-mcp

## Description

A comprehensive quantitative finance MCP server providing live financial analysis, including price/risk metrics, HMM market regime detection, backtesting, options analytics, fundamentals, sentiment, Monte Carlo simulation, pairs trading, factor models, and portfolio optimization. It integrates with Claude via natural language commands and uses only free data sources.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z9coimjpob)
- **Repository:** <https://github.com/irohan0/quant-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": "irohan0-quant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/irohan0-quant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/irohan0-quant-mcp/pull`

---
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