Running Hyperliquid Trading Agents with OpenClaw
Deploy a trading agent on a cloud server. Wire it to OpenClaw. Execute trades from your phone via WhatsApp. Understand every layer of the stack — from exchange API to risk management to strategy development.
Why This Exists
What You'll Build
Three pillars: the operator, the skill, and the pipeline.
The Curriculum
4 Parts · 12 Modules · Self-Paced
The Stack
OpenClaw
AI agent platform (145K+ GitHub stars)
Hyperliquid
Largest perps DEX ($1T+ monthly volume)
CCXT
Unified crypto exchange API
Python 3.12 + UV
Modern Python with Rust-speed tooling
SQLite
Zero-config database for trade logging
DigitalOcean
One-click hardened cloud deployment
Who This Is For
You're a fit if:
- • You're a developer comfortable using AI coding tools (Claude Code, Cursor, Copilot)
- • You're excited about permissionless, on-chain opportunities
- • You want to understand the full stack — not just copy-paste
- • You're looking for sovereignty: income you control, not dependent on an employer
This might not be for you if:
- • You're completely new to coding (learn basics first, then come back)
- • You're looking for a get-rich-quick scheme
- • You want someone to give you a "magic bot" that prints money
- • You're uncomfortable managing your own keys and risk
Access Tiers
Free tier / basic Skool membership
- • Curriculum outline and module summaries
- • Open-source Hyperliquid Operator codebase
- • Community discussion and peer support
- • Weekly live sessions
Paid tier
- • Full curriculum content with detailed walkthroughs
- • Video recordings of every module
- • 1-on-1 code reviews and strategy feedback
- • Private operator channel
- • Advanced strategy deep-dives
- • Direct access to Fodé (instructor)
FAQ
Do I need coding experience?
Basic programming skills required. You should be comfortable with the command line and reading Python code. But you don't need to be an expert — this curriculum is designed for 'vibe coders' who use AI tools like Claude Code or Cursor to build and modify software.
How long does it take?
6-8 weeks at 5-10 hours/week. Can be compressed into an intensive 2-week sprint. The curriculum is self-paced with lifetime access.
Is the curriculum open source?
The outline, structure, and codebase are fully open source under MIT license. The detailed lesson content, video walkthroughs, and community support are available through ATC membership.
How much does it cost to run a trading agent?
$24/month for the DigitalOcean Droplet, plus $5-20/month for LLM API costs (Anthropic/OpenAI). Plus whatever capital you choose to trade with — starting as low as $50 on Hyperliquid.
Why Hyperliquid?
Hyperliquid is the largest perpetual futures DEX with $1+ trillion monthly volume, a fully on-chain order book, mature CCXT integration, and an active ecosystem. It's the best venue for algorithmic trading on-chain.
Will this make me money?
This is education, not financial advice. Trading involves real risk of loss. The curriculum teaches you the technical skills to build, operate, and manage trading agents. Whether you profit depends on your strategies, risk management, and market conditions. We always start with paper trading.
The Future Belongs to Operators
AI agents that trade 24/7. Risk management that never sleeps. Deployed on infrastructure you control. This is the new frontier.