How does the system handle trading risk?

The system runs a dedicated Risk Agent before any trade and uses config-defined circuit breakers like MAX_LOSS_USD and MINIMUM_BALANCE_USD.

What is the RBI agent used for?

The Research-Based Inference (RBI) agent uses DeepSeek-R1 to extract trading logic from YouTube URLs or PDFs and automatically generates backtesting code.

What exchanges does this skill support?

It supports Hyperliquid, Solana (via BirdEye), and Extended Exchange (X10) for both spot and perpetuals trading.

Can I use different AI models with these agents?

Yes, the system includes a ModelFactory that supports Anthropic Claude, OpenAI, DeepSeek, Groq, Gemini, and Ollama.

Are there specific coding rules for this repository?

Yes, core rules include keeping files under 800 lines, using the established Python 3.10.9 environment, and never moving existing files without authorization.

Moon Dev Trading Agents

Name: Moon Dev Trading Agents
Author: Activer007

byActiver007

0•

데이터 과학 및 ML

Orchestrates over 48 specialized AI agents for autonomous cryptocurrency trading and market analysis across multiple decentralized exchanges.

This skill provides expert guidance for managing and extending Moon Dev's experimental AI trading ecosystem, a Python-based framework that coordinates nearly 50 specialized agents. It enables users to deploy autonomous trading strategies on Hyperliquid, Solana, and X10 exchanges while leveraging a unified LLM abstraction layer for models like Claude, GPT-4, and DeepSeek. Whether you are backtesting strategies via the Research-Based Inference (RBI) agent or monitoring whale movements, this skill ensures you follow repository-specific best practices, such as maintaining modular code structures and implementing robust risk management circuit breakers.

주요 기능

01Research-Based Inference (RBI) for Automated Backtesting

02Multi-Exchange Support (Hyperliquid, Solana/BirdEye, X10)

030 GitHub stars

04Orchestration of 48+ Specialized AI Trading Agents

05Integrated Risk Management and Execution Circuit Breakers

06LLM Abstraction via ModelFactory for Multi-Provider Support

사용 사례

01Converting trading strategies from YouTube or PDFs into executable backtests

02Deploying autonomous multi-agent loops for 24/7 crypto market monitoring

03Scaling trading operations across different blockchain ecosystems using a unified API

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills moon-dev-trading-agents

For use in Claude.ai and ChatGPT

Download Skill