# nephyr-backtest

> Use this tool when you need to validate and refine your prediction market strategies using real on-chain Polymarket data. It solves problems of strategy optimization and risk assessment by allowing you to backtest weather-based prediction market strategies and simulate copy-trading top wallets. With inputs of historical data and strategy parameters, it outputs simulated performance metrics, helping you make informed decisions before risking capital.

Canonical page: https://skillsregistry.net/skills/clm-studios-nephyr-backtest  
JSON: https://api.skillsregistry.net/v1/skills/clm-studios-nephyr-backtest

## Description

Strategy backtesting with real on-chain Polymarket data. Backtest weather-based prediction market strategies, simulate copy-trading top wallets, and query available historical data. Validate your strategies against real market outcomes before risking capital.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/clm-studios/nephyr-backtest)

## 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": "clm-studios-nephyr-backtest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clm-studios-nephyr-backtest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clm-studios-nephyr-backtest/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
