# strategy-lab

> strategy-lab — ksamsoe-strategy-lab. Use this tool when you need to perform point-in-time backtesting with transparent and caveat-attached results. It solves problems related to quantitative research and strategy validation, providing a reliable interface for inputting research parameters and outputting actionable insights. Ideal for use in data-driven decision-making contexts, such as financial analysis and portfolio optimization.

Canonical page: https://skillsregistry.net/skills/ksamsoe-strategy-lab  
JSON: https://api.skillsregistry.net/v1/skills/ksamsoe-strategy-lab

## Description

A quant research lab a desktop agent can drive over MCP: point-in-time backtesting with the caveat attached to every number

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/KSamsoe/strategy-lab)

## 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": "ksamsoe-strategy-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ksamsoe-strategy-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ksamsoe-strategy-lab/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