OpenClaw is an AI-powered trading agent that uses LLMs to analyze real-time market data, generate trading decisions, and execute trades on the Hyperliquid decentralized exchange.

Built for automation, low-latency execution, and strategy experimentation, OpenClaw continuously monitors markets, evaluates technical indicators, and manages positions with risk controls.

---

🚀 Features

• 🤖 LLM-driven trading decisions (multi-model support)
• 📊 Real-time technical analysis via TAAPI
• ⚡ Automated trade execution on Hyperliquid
• 🔁 Continuous trading loop with configurable intervals
• 🛡️ Built-in risk management (TP / SL logic)
• 🔌 Tool-calling support for dynamic indicator queries
• 📡 Lightweight API for logs & trade diary

---

📚 Table of Contents

• Disclaimer
• Architecture
• Live Agents
• Trading Stack
• Project Structure
• Environment Setup
• Usage
• Tool Calling
• Deployment (EigenCloud)

---

⚠️ Disclaimer

This project is experimental and unaudited. There is no guarantee of profitability. Use at your own risk.

---

🏗️ Architecture

See full documentation: → docs/ARCHITECTURE.md

Architecture diagram:

https://github.com/user-attachments/assets/d8f5110a-6401-42bd-b5f5-b154c7b0a418

---

📡 Live Agents

• GPT-5 Pro — Portfolio + Logs (active)
• DeepSeek R1 — paused
• Grok 4 — paused

(Replace with your updated endpoints if needed)

---

💡 Trading Stack (Recommended Tools & Infrastructure)

OpenClaw is designed to integrate with a high-performance stack including trading bots, MEV tools, analytics platforms, and low-latency infrastructure.

Using the right stack improves:

• ⚡ Execution speed
• 📈 Alpha discovery
• 🎯 Trade accuracy

---

⚡ Execution Layer

Axiom Trade

• Fast on-chain execution
• Reduced fees (10–30%) → Access

Odin Bot

• Automated strategies
• Low-latency execution → Access

Bloom (Telegram Bot)

• Ultra-fast trading interface → Launch

---

📊 Analytics & Alpha

GMGN

• Smart money tracking
• Early token discovery → Explore

---

🧠 Advanced Platforms

Padre

• Advanced execution tools → Open

Polymarket

• Prediction-based trading → Try

---

🖥️ Infrastructure

Low-Latency VPS (New York Recommended)

• Faster transaction propagation
• Better execution reliability
• Ideal for bots & MEV strategies

→ Get VPS

---

📁 Project Structure

src/
├── main.py                  # Entry point / trading loop
├── agent/
│   └── decision_maker.py   # LLM decision engine
├── indicators/
│   └── taapi_client.py     # TAAPI integration
├── trading/
│   └── hyperliquid_api.py  # Trade execution
└── config_loader.py        # Env config loader

---

⚙️ Environment Setup

Create .env (see .env.example):

TAAPI_API_KEY=
HYPERLIQUID_PRIVATE_KEY=
OPENROUTER_API_KEY=
LLM_MODEL=

Optional:

OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
API_PORT=3000

---

▶️ Usage

poetry run python src/main.py --assets BTC ETH --interval 1h

---

🌐 Local API

• /diary → trade history
• /logs → runtime logs

---

🧠 Tool Calling

Supports dynamic indicator fetching via TAAPI:

• EMA
• RSI
• Custom indicators

---

☁️ Deployment (EigenCloud)

Run inside a TEE (Trusted Execution Environment) for secure key handling.

Install

curl -fsSL https://eigenx-scripts.s3.us-east-1.amazonaws.com/install-eigenx.sh | bash

Deploy

eigenx app deploy

Monitor

eigenx app logs --watch

---

⚠️ Notes

• Tools listed are optional
• Performance depends on latency + strategy quality
• Always test before scaling

---