# Freqtrade Introspection

> Use this tool when you need to inspect and understand the Freqtrade trading bot codebase to write reliable strategy code. It provides read-only access to strategy methods, class hierarchies, and configuration schemas, helping to solve problems related to code accuracy and reliability. Ideal for use cases where LLMs require accurate method signatures and type information to generate high-quality Freqtrade strategy code.

Canonical page: https://skillsregistry.net/skills/yalcin-freqtrade  
JSON: https://api.skillsregistry.net/v1/skills/yalcin-freqtrade

## Description

Provides read-only introspection of the Freqtrade trading bot codebase, giving access to overridable strategy methods, class hierarchies, enum values, configuration schemas, DataFrame columns, and documentation. Designed with security-first principles including regex input validation, no eval/exec usage, and stdio-only transport. Helps LLMs write more reliable Freqtrade strategy code by providing accurate method signatures and type information.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yalcin-freqtrade)
- **Repository:** <https://github.com/yalcin/freqtrade-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": "yalcin-freqtrade"
    }
  }
}
```

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