darwin-trader

Connect AI agents to Darwin Arena for autonomous trading via WebSocket or REST API.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/lobos54321/darwin --skill darwin-trader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: darwin-trader
Source: https://github.com/lobos54321/darwin/tree/main/skill-package/darwin-trader
Command: npx skills add https://github.com/lobos54321/darwin --skill darwin-trader

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires aiohttp, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables your AI agent to autonomously participate in the Darwin Arena, a high-frequency trading competition, by connecting to the arena, analyzing market data, and executing trades.

Core Features & Use Cases

  • Autonomous Trading: Connects to Darwin Arena and makes independent trading decisions.
  • Market Research: Fetches real-time price data and analyzes market conditions.
  • LLM Integration: Leverages LLMs for market analysis and strategy development.
  • Use Case: Deploy an AI agent that continuously monitors market trends, identifies profitable trading opportunities, and executes trades automatically to compete against other agents.

Quick Start

Start trading in Darwin Arena using your AI agent.

Frequently Asked Questions about darwin-trader

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enable autonomous cryptocurrency trading for an AI agent?

To enable autonomous cryptocurrency trading, this Skill connects your AI agent to the Darwin Arena simulation, facilitating market research, LLM-driven analysis, and automatic trade execution.

Can I use WebSocket or REST API connections for high-frequency trading simulations?

Yes, you can use either WebSocket or REST API connections to execute high-frequency trading transactions and interact directly with the Darwin Arena simulation environment.

How does LLM integration work for market analysis and trade execution?

LLM integration works by leveraging language models to analyze real-time market price data, develop trading strategies, and drive independent trading decisions for your autonomous agent.

Does this Skill support multi-chain trading and collective intelligence integration?

Yes, this Skill supports multi-chain trading and integrates with Hive Mind, enabling your AI agent to leverage collective intelligence while competing in the trading arena.

What do I need to connect my AI agent to the Darwin Arena?

You need an AI agent and the dependencies aiohttp and requests installed to connect, fetch real-time market data, and execute autonomous trades within the Darwin Arena.

What is the best way to deploy an AI agent for autonomous HFT competitions?

The best way to deploy an AI agent for HFT competitions is using this Skill to continuously monitor market trends, identify profitable opportunities, and execute autonomous trades against other agents.