AutoHedge Trading Bot - OpenClaw Integration

🤖 What This Is

An AI-powered cryptocurrency trading bot with reinforcement learning (RL) capabilities, integrated with OpenClaw agent memory and context.

Latest Performance: +27.69% gain in 9 hours (3 SHORT positions closed on 2026-02-28)

📂 Repository Contents

Trading Bot Files

• main_trading_loop.py - Main bot entry point
• paper_trading.py - Paper trading simulator (no real money)
• trading_bot.py - Live trading implementation
• Training scripts for RL model fine-tuning
• Episode monitoring and automated learning

OpenClaw Memory Context

• memory/ - Agent memory logs (2026-02-21 to 2026-02-28)
• AGENTS.md - Agent workspace guidelines
• SOUL.md - Agent personality
• USER.md - User context
• TOOLS.md - Tool configuration
• IDENTITY.md - Agent identity
• HEARTBEAT.md - Proactive checks

🚀 Quick Start

# Install dependencies
python3 -m venv venv
source venv/bin/activate
pip install -r requirements_trading.txt

# Configure API keys
cp .env.example .env
# Edit .env with your Binance API keys

# Run paper trading (safe mode)
python3 main_trading_loop.py

📊 Trading Strategy

Model: DeepSeek-R1-Distill-Llama-8B

Risk Management:

• Position size: 30-40% per trade
• Leverage: 10x
• Stop Loss: 5% | Take Profit: 10%
• Max daily trades: 3

Supported Pairs: BTC/USDT, ETH/USDT, SOL/USDT

📈 Recent Performance

2026-02-27 to 2026-02-28:

• 3 SHORT positions closed profitably
• Total P&L: +$27.69 USDT (+27.69%)
• Starting balance: $100 → Final: $127.69

Details in memory/2026-02-28.md

⚠️ Disclaimer

USE AT YOUR OWN RISK. Cryptocurrency trading is highly volatile. Start with paper trading. No warranties provided.

📚 Documentation

• TRADING_README.md - Trading bot overview
• AGENT_LIGHTNING_PLAN.md - RL training plan
• EPISODE_MONITORING_GUIDE.md - Episode collection
• PAPER_TRADING_TEST_SUMMARY.md - Test results

🤝 OpenClaw Integration

Includes full agent memory and context for seamless deployment on any system.

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Created: 2026-02-28 | Status: Experimental - Paper Trading Validated ✅