# Vintage

> Vintage — rezasoleymanifar-vintage. Use this tool when you need to access historical financial data and accurately backtest investment strategies, solving problems of data inconsistency and over-optimization in research and portfolio analysis. It provides point-in-time data and honest backtesting via MCP, accepting inputs such as research parameters and strategy definitions, and outputting deflated Sharpe metrics and benchmarked returns. Ideal for use in research, portfolio optimization, and strategy development contexts.

Canonical page: https://skillsregistry.net/skills/rezasoleymanifar-vintage  
JSON: https://api.skillsregistry.net/v1/skills/rezasoleymanifar-vintage

## Description

Provides point-in-time financial data access and an honest backtesting engine via MCP, enabling users to research restated fundamentals, run backtests with deflated Sharpe metrics, and benchmark returns against published factors.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/su7u55bac2)
- **Repository:** <https://github.com/RezaSoleymanifar/vintage>

## 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": "rezasoleymanifar-vintage"
    }
  }
}
```

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