moon-dev-trading-agents

What problem does it solve?

This Skill provides Claude with expert knowledge to navigate and master Moon Dev's extensive AI trading system. It automates complex, data-driven trading decisions and tasks across multiple crypto exchanges, significantly reducing manual effort and complexity for users. By orchestrating specialized AI agents, it helps users research, backtest, and execute trading strategies autonomously, saving time and enhancing decision-making.

Core Features & Use Cases

• 48+ Specialized AI Agents: Access a comprehensive suite of agents for backtesting, live trading, market analysis, content creation, and more.
• Multi-Exchange Support: Seamlessly integrate and trade across Hyperliquid, Solana (BirdEye), and Extended Exchange.
• LLM Abstraction: Dynamically switch between Claude, GPT-4, DeepSeek, Groq, Gemini, and Ollama for optimal AI performance and cost efficiency.
• Automated Backtesting (RBI Agent): Generate and test trading strategies from YouTube videos, PDFs, or plain text descriptions, turning ideas into actionable code.
• Use Case: A quant trader can use this Skill to instruct Claude to run the RBI agent, automatically coding and backtesting a strategy from a new research paper. Once validated, Claude can then guide the deployment of the trading_agent with the risk_agent on Hyperliquid, while the sentiment_agent continuously monitors social media for market sentiment.

Quick Start

Guide me on how to activate my Python environment and then run the main orchestrator (src/main.py) to start my AI trading agents.