moon-dev-trading-agents

What problem does it solve?

This Skill orchestrates Moon Dev's AI trading agents system, enabling teams to understand, configure, and operate a large-scale autonomous agent ecosystem for cryptocurrency markets.

Core Features & Use Cases

• 48+ specialized AI agents for trading across multiple exchanges (Hyperliquid, BirdEye/Solana, Asterdex, Extended Exchange).
• LLM abstraction layer to unify access to Claude, GPT-4, Gemini, and other providers.
• Multi-exchange orchestration to coordinate agents, risk checks, and backtesting workflows.
• Autonomous trading capabilities including orchestration of agents, backtesting, execution pipelines, and monitoring with risk controls.
• Use Case: A team wants to deploy a fully autonomous trading platform where agents monitor markets, generate signals, backtest strategies, and execute trades across supported exchanges.

Quick Start

To begin exploring the Moon Dev AI Trading Agents System:

• Review the repository structure under src/ (agents, models, strategies, data).
• Run the main orchestrator: python src/main.py
• Run individual agents: python src/agents/trading_agent.py, python src/agents/risk_agent.py
• Adjust configuration in src/config.py to set exchanges, AI provider, and risk limits.