# agentic-quant-studio

> agentic-quant-studio — wizard50-agentic-quant-studio. Use this tool when you need to build and deploy autonomous AI agents in quantitative finance, solving problems such as strategy optimization and risk management through research, code generation, and backtesting. It takes in financial data and code inputs, outputting optimized trading strategies and performance metrics. Ideal for use in financial institutions and research environments where automated trading and portfolio management are critical.

Canonical page: https://skillsregistry.net/skills/wizard50-agentic-quant-studio  
JSON: https://api.skillsregistry.net/v1/skills/wizard50-agentic-quant-studio

## Description

Agentic Quant Studio — An intelligent workspace for building autonomous AI agents in quantitative finance. Research, code generation, backtesting, and RAG-powered knowledge — all in one studio.

## Trust

- **Trust score (0–1):** 0.67
- **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/wizard50/agentic-quant-studio)

## 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": "wizard50-agentic-quant-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wizard50-agentic-quant-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wizard50-agentic-quant-studio/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