How does the backtesting workflow work?

The RBI (Research-Based Inference) agent uses LLMs to extract logic from YouTube URLs or PDFs, then generates Python code compatible with the backtesting.py library.

Which exchanges are supported by this skill?

The system includes native support for Hyperliquid (perpetuals), Solana/BirdEye (spot), and Extended Exchange (X10), with unified functions for market orders and position management.

Can I use different AI models with these agents?

Yes, the ModelFactory abstraction allows you to use Claude, GPT-4, DeepSeek, Groq, Gemini, and Ollama by simply updating the configuration.

What is Moon Dev's AI Trading system?

It is an experimental, educational framework that uses over 48 specialized AI agents to automate cryptocurrency market analysis, research, and trade execution.

Does the system include risk management?

Absolutely. A dedicated Risk Agent runs before trading decisions to enforce circuit breakers like MAX_LOSS_USD, cash percentage limits, and minimum balance requirements.

Moon Dev AI Trading Agents

Name: Moon Dev AI Trading Agents
Author: Microck

byMicrock

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Data Science & ML

Orchestrates 48+ specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.

This skill provides expert knowledge for interacting with Moon Dev's experimental AI trading ecosystem, a framework designed to automate crypto trading via a swarm of specialized agents. It enables users to deploy, modify, and manage agents for various tasks like sentiment analysis, whale tracking, and risk management across platforms like Hyperliquid, Solana, and X10. By utilizing a unified LLM abstraction layer (ModelFactory), the skill allows for seamless switching between models like Claude, GPT-4, and DeepSeek while adhering to strict development patterns for maintainable and scalable trading systems.

Key Features

01Multi-exchange support for Hyperliquid, Solana (BirdEye), and Extended Exchange (X10)

02Orchestration of 48+ specialized agents for trading, research, and analysis

03Comprehensive risk management suite including a dedicated Risk Agent and circuit breakers

04Unified LLM interface via ModelFactory supporting Claude, GPT-4, and DeepSeek

05Automated backtesting using the Research-Based Inference (RBI) agent

0681 GitHub stars

Use Cases

01Monitoring market sentiment and whale movements across multiple blockchain networks

02Extracting trading strategies from videos or PDFs and generating backtest code

03Developing and deploying autonomous crypto trading bots with AI-driven logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills moon-dev-trading-agents

For use in Claude.ai and ChatGPT

Download Skill